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🚨 THREAT INTELLIGENCE ALERT 🚨 The tool 🇨🇳 KernelGhost820 is being actively sold on the underground market for US$ 2,500, complete with full source code. This is a professional-grade suite with an intuitive graphical interface and six advanced modules, specifically designed for EDR evasion and sophisticated ransomware operations with...

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Clandestine

64,660 subscribers

40,974 просмотров • 5 месяцев назад •via X (Twitter)

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Комментарии: 4

Фото профиля moscowchill
moscowchill5 месяцев назад

Looks like ass

Фото профиля Maybe:Tator
Maybe:Tator5 месяцев назад

Already owned by my stack just like every other wannabe tool out there.

Фото профиля KiTchiNotchi
KiTchiNotchi5 месяцев назад

@h4x0r_dz

Фото профиля Steve Favis
Steve Favis5 месяцев назад

you guys ransomwaring each other? 🤣

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⚠️ A defense evasion tool called ExEngine is being sold as a service, marketed as an AV/EDR killer that disables mainstream consumer security software including Windows Defender, Malwarebytes, Bitdefender, and Avast. The tool combines AV termination with a Ring-3 rootkit, UAC bypass, and decoy payload delivery to support stealthy initial access operations. ⠀ ‣ Threat Actor: ryewx1 ‣ Category: Defense Evasion Tool / Killer ‣ Offering: ExEngine AV/EDR Killer ‣ Industry: Malware Tooling ⠀ The seller claims ExEngine actively terminates security software rather than only obfuscating payloads, granting attackers a longer window of undetected operation. The tool supports Windows 10 and 11 builds and is sold per-build at $150 to $250. ⠀ Advertised capabilities: ⠀ ▪️ AV/EDR termination with primary and fallback techniques ▪️ UAC bypass with automatic privilege escalation ▪️ Ring-3 rootkit functionality to hide files, processes, registry keys, and network connections ▪️ Discord webhook logging for victim machine info and execution status ▪️ Secondary decoy payload (game/document/installer) to keep targets unaware ▪️ Persistence across reboots and logouts ▪️ Anti-VM and anti-debug detection with fake error message exit ▪️ Universal Windows 10/11 support, all payload types ⠀ Risk to defenders: ⠀ ▪️ Active termination of consumer AV products including Windows Defender means traditional endpoint protections cannot be relied on once ExEngine executes successfully ▪️ Decoy payload pattern is designed to delay user-driven incident reporting, lengthening attacker dwell time ▪️ Ring-3 rootkit hiding of files, processes, and network connections complicates incident response triage on compromised hosts ▪️ Discord webhook telemetry indicates the operator is targeting consumer and SMB victims at scale rather than running individual targeted campaigns ▪️ Sold per-build at low cost ($150 to $250), making it accessible to low-skill operators who can pair it with commodity stealers, RATs, or loaders
0:57

⚠️ A defense evasion tool called ExEngine is being sold as a service, marketed as an AV/EDR killer that disables mainstream consumer security software including Windows Defender, Malwarebytes, Bitdefender, and Avast. The tool combines AV termination with a Ring-3 rootkit, UAC bypass, and decoy payload delivery to support stealthy initial access operations. ⠀ ‣ Threat Actor: ryewx1 ‣ Category: Defense Evasion Tool / Killer ‣ Offering: ExEngine AV/EDR Killer ‣ Industry: Malware Tooling ⠀ The seller claims ExEngine actively terminates security software rather than only obfuscating payloads, granting attackers a longer window of undetected operation. The tool supports Windows 10 and 11 builds and is sold per-build at $150 to $250. ⠀ Advertised capabilities: ⠀ ▪️ AV/EDR termination with primary and fallback techniques ▪️ UAC bypass with automatic privilege escalation ▪️ Ring-3 rootkit functionality to hide files, processes, registry keys, and network connections ▪️ Discord webhook logging for victim machine info and execution status ▪️ Secondary decoy payload (game/document/installer) to keep targets unaware ▪️ Persistence across reboots and logouts ▪️ Anti-VM and anti-debug detection with fake error message exit ▪️ Universal Windows 10/11 support, all payload types ⠀ Risk to defenders: ⠀ ▪️ Active termination of consumer AV products including Windows Defender means traditional endpoint protections cannot be relied on once ExEngine executes successfully ▪️ Decoy payload pattern is designed to delay user-driven incident reporting, lengthening attacker dwell time ▪️ Ring-3 rootkit hiding of files, processes, and network connections complicates incident response triage on compromised hosts ▪️ Discord webhook telemetry indicates the operator is targeting consumer and SMB victims at scale rather than running individual targeted campaigns ▪️ Sold per-build at low cost ($150 to $250), making it accessible to low-skill operators who can pair it with commodity stealers, RATs, or loaders

Dark Web Informer

23,567 просмотров • 5 месяцев назад

This video is all over social media right now. This is a VERY silly video. I audibly laughed out loud several times. Elon Musk and co. are not experts in DFIR (Digital Forensics and Incident Response). No matter how much of a sycophant you are for him or his organizations, Musk has no background in malware reverse engineering, identification, or development. What I suspect Kristi Noem is referring to in this conversation is the installation of an EDR (Endpoint Detection and Response) system. An EDR is basically an anti-virus that a system administrator can make rules for, add custom detection logic, etc. This is used in enterprise environments and installed on user managed endpoints (computers, electronic devices). Some people worry about EDRs because they monitor the device for any potential malware or compromise. Yes, EDRs can be incredibly invasive, but you should not expect privacy when using company equipment or government devices. The reason why I suspect she is referring to an EDR system is she states, "Elon and his team helped me identify some of my own employees in my department had downloaded software on my phone, and on my laptop, to spy on me, record our meetings, ... they had done that to several other politicals" If an employee, working with the United States Department of Homeland security, was actively working as an Insider Threat and performing ESPIONAGE, spying on politicians and people of power, it would be all over the news. Musk and/or Trump would have been SCREAMING about whoever had done it. Additionally, this would be a VERY serious charge to whoever was identified doing this. It would have been a massive scandal. The second super silly thing Noem says is she complains she was unable to email a PowerPoint presentation to someone because it was too large ("over six pages long"). She is implying here this is a technological problem, but it is NOT. This is done intentionally to prevent data exfiltration. The idea is network administrators put data size restrictions in place to prevent data theft. If someone successfully compromised the United States government, and was unable to steal data by traditional means (tunneling, C2, etc), a common exfiltration tool is email. They take the stolen data, and send it to a disposable email address to receive it. Hence, if they restrict the size of data allowed to be sent outbound, it makes it substantially more difficult for data exfiltration to occur. If a Threat Actor tries to send an email with a large attachment the EDR flags it as a potentially suspicious event and notifies network operations. She is comparing standard cybersecurity policies to ... lack of technology ... ? And also somehow saying this has something to do with the "deep state" (an ominous unidentified threat, or something). Regardless if you believe there is a "deep state" (???), cybersecurity policy and network restrictions are NOT a technological disadvantage. I also want to give a big shoutout to RT (Russian Today) for blasting this all over social media. RT knows this video and conversation is ridiculous. Russian Intelligence is probably giggling right not at the absurdity of it. They are loving the fact they can spit this video all over social media and (using Noems own words) imply the United States government has SPYS actively present from THE DEEP STATE. It sows distrust and misinformation. Bravo, RT.
1:32

This video is all over social media right now. This is a VERY silly video. I audibly laughed out loud several times. Elon Musk and co. are not experts in DFIR (Digital Forensics and Incident Response). No matter how much of a sycophant you are for him or his organizations, Musk has no background in malware reverse engineering, identification, or development. What I suspect Kristi Noem is referring to in this conversation is the installation of an EDR (Endpoint Detection and Response) system. An EDR is basically an anti-virus that a system administrator can make rules for, add custom detection logic, etc. This is used in enterprise environments and installed on user managed endpoints (computers, electronic devices). Some people worry about EDRs because they monitor the device for any potential malware or compromise. Yes, EDRs can be incredibly invasive, but you should not expect privacy when using company equipment or government devices. The reason why I suspect she is referring to an EDR system is she states, "Elon and his team helped me identify some of my own employees in my department had downloaded software on my phone, and on my laptop, to spy on me, record our meetings, ... they had done that to several other politicals" If an employee, working with the United States Department of Homeland security, was actively working as an Insider Threat and performing ESPIONAGE, spying on politicians and people of power, it would be all over the news. Musk and/or Trump would have been SCREAMING about whoever had done it. Additionally, this would be a VERY serious charge to whoever was identified doing this. It would have been a massive scandal. The second super silly thing Noem says is she complains she was unable to email a PowerPoint presentation to someone because it was too large ("over six pages long"). She is implying here this is a technological problem, but it is NOT. This is done intentionally to prevent data exfiltration. The idea is network administrators put data size restrictions in place to prevent data theft. If someone successfully compromised the United States government, and was unable to steal data by traditional means (tunneling, C2, etc), a common exfiltration tool is email. They take the stolen data, and send it to a disposable email address to receive it. Hence, if they restrict the size of data allowed to be sent outbound, it makes it substantially more difficult for data exfiltration to occur. If a Threat Actor tries to send an email with a large attachment the EDR flags it as a potentially suspicious event and notifies network operations. She is comparing standard cybersecurity policies to ... lack of technology ... ? And also somehow saying this has something to do with the "deep state" (an ominous unidentified threat, or something). Regardless if you believe there is a "deep state" (???), cybersecurity policy and network restrictions are NOT a technological disadvantage. I also want to give a big shoutout to RT (Russian Today) for blasting this all over social media. RT knows this video and conversation is ridiculous. Russian Intelligence is probably giggling right not at the absurdity of it. They are loving the fact they can spit this video all over social media and (using Noems own words) imply the United States government has SPYS actively present from THE DEEP STATE. It sows distrust and misinformation. Bravo, RT.

vx-underground

97,003 просмотров • 7 месяцев назад

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!
2:06

The $AEGIS DApp portal is now open to all: 🛡️ At Aegis, we believe in empowering the blockchain full of security, transparency and innovation. The Aegis Dapp has been under development for several months prior to the launch of $AEGIS and with that we have been able to build what we believe has the potential to change how users go about their day to day security. We are thrilled to share our progress and truly exciting news with you all. 🎯 First things first, at Aegis, we want to make it clear that the value of what we seek to bring to security across the blockchain, comes from our big vision, our strong team, and our commitment to long-term goals. ℹ️ Let’s kick this off with some information that is constantly happening, which is behind the scenes. Our full team is dedicated to the opportunity that lays ahead of us with becoming the leading voice/name for security, grasping every aspect with innovation, hard work, passion and commitment to see this sector grow. Everyone is aware of how important security is, a heartwarming mention to Messari for including us on how they see this sector growing rapidly and pushing a 10 Billion evaluation. We take that recognition with full responsibility and gratitude as we've been working hard on some really powerful stuff that could change the game for our industry. If you read the title and report itself, I’m sure that’ll give you some insight to what’s coming, and to the vast extent of what you can expect Aegis to be working towards. —> 🤝 This comes from teaming up with others within this sector and coming up with new tech to projects driven by our community, within the pipeline you can be confident that what we are building will push the cryptocurrency industry as a whole into a better future, the magnitude to what Aegis brings will not stop until we can confidently say, “Negative security reports across the blockchain are at an all time low, thousands of users are satisfied that Aegis is protecting them and their assets.” We're sticking to our vision no matter what the market does or whatever else comes our way. We plan to build what we set out to and we will see to it that our ecosystem is met. We've been working on some pretty amazing products that will be available within our Dapp, let’s go over what we offer: * AI Audits * Live Monitoring * Penetration Testing * Bug Bounties * Live Watchdog * Token analytics for everyday users, developers, teams, auditors, institutions, investors. ⬇️ Let’s break it down for you in some simple steps: AI AUDITS: We have trained our LLM models as AI AGENTS, these consist of 3 people ( AI AGENTS ) for the audits that are performed. - Audit - Reviewer - Judge Each one analyzes with a different personality, let’s check what personalities our AI AGENTS consist of: 3 different perspective auditors. 1 - Fine-tuned model x amount reads the code and generates the audit. ✅ 2 - Model x amount reviews the code and fact checks thoroughly. ✅ 3 - Model x amount ranks the code based on the severity outcome. ✅ ⌚️ Live Monitoring/Watchdog: The Live Monitoring/Watchdog system is designed to provide real-time surveillance of smart contracts, ensuring the detection and prevention of any potentially harmful transactions or malicious activities. Through the utilization of an AI Agent model, the system is trained to proactively identify and thwart suspicious behavior, thereby safeguarding the integrity of the smart contracts. Also, a paid sophisticated threat detection model is available for more intricate protocols and Dapps, offering an advanced level of protection against potential threats. This proactive approach is crucial in mitigating the risk of exploitation and ensuring the security of the smart contract ecosystem. 🖊️ Pen Testing: Our platform offers Pen Testing services to developers, providing a controlled environment for whitehat hackers to simulate attacks and identify vulnerabilities in smart contracts and protocols. In addition to human whitehat hackers, our AI Agents function as Red and Blue teams, actively engaging in simulated attacks to stress-test protocols and identify potential weaknesses. This comprehensive approach allows developers to proactively identify and address security issues, ultimately enhancing the robustness and resilience of their projects. 🕷️ Bug Bounties: Our Bug Bounty listing platform provides developers with the opportunity to list their protocols and offer bounties to white hat hackers for identifying vulnerabilities. By aggregating millions of bounties from various platforms and utilizing AI tools, we streamline the testing process, reducing up to 80% of the workload typically associated with security testing. This allows developers to efficiently identify and address potential vulnerabilities in their protocols, ultimately enhancing the overall security and resilience of their projects. 🪙 And lot more token analytics features for regular users, this will give you the opportunity to explore our Dapp for yourself and have some fun diving into the security platform of the future! I’m sure you’re excited to try it all out yourself, which is why we have some exciting news to bring to the #Guardians of the blockchain! But just before you continue the read and see the beans have been spilled, we have to take this opportunity to share with you that this large step to becoming a security leader is but only 20% of what we have revealed. This will be at the core of what Aegis stands for and hopes to achieve. The focus here is upon our Dapp, and in time we will slowly bring forward information/updates regarding segments of what makes Aegis a force to be reckoned with. Now that you’re fired up and excited to all of the announcements to come, let’s get to the news you’ve been waiting for! 🎉 We’re spilling the good news, and are happy to say we are now set for public release! The team at Aegis are overwhelmed with the development, support from teams, community, partners and more on what we believe to be an institutional-grade product. But the fun doesn’t stop there, this marks the start of what we aim to become, as it will take time and cycles to become better and better. Constant advancements will be set in place to attain the goal of achieving blockchain security. A statement from our CEO- Brian Hunt: “I can confirm from the security conferences I attended with Centralized security firms Peckshield, Hacken, Certik, BlockSec presentations, they are trying to achieve something similar and it will take them years. Decentralized AI for Security!” This initial drop of our dapp will be to get users signed up to gain access, in which we’ll whitelist users to get the ball rolling. 📣 To end this segment, let’s get the party started with the long awaited Aegis Ai Security Dapp and sign up now!

AEGIS AI

128,122 просмотров • 2 лет назад

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂
0:18

Monthly WINR Protocol Development Update: To begin with, the WINR Protocol has distributed $900,000 to token holders, generated more than $500,000 in pure profit for liquidity providers on WLP, acquired more than 5,000 users, and has almost 9% of the supply burned. In the upcoming months, the WINR Protocol, which has been in production for years, will introduce a range of new products and deployments. These developments will represent the practical and technical evolution to V2 of the protocol. Here are the latest updates and further details as they progress: Progress on WINR Bonanza, Casino Hold'em, and Blackjack is nearing completion. These games are in the final stages of testing. Additional games, including a new type of crash game, have been finalized and are set to debut with the JustBet v2 launch. Take a look at the gameplay videos for a preview. These games achieve the long-term goal of providing a full-suite WINR Game Engine SDK, which can be used to build games with complex logic on-chain with modular smart contract infrastructure. For example, any grid slot game that dominates the iGaming industry could easily be developed on-chain using the WINR Bonanza SDK. - Permissionless Frontend Operator SDK Dashboard Release: March is poised to be a milestone month with the launch of the Frontend Operator SDK dashboards. These dashboards will enable any WINR Labs game to be seamlessly deployed on frontends, marking a significant advancement in protocol accessibility and integration for future games developed by independent iGaming developers. The frontend operator can deploy any game they choose through a few simple steps while utilizing 10,000 WINR per game via the WINR Game Factory smart contract. Each operator is assigned a unique smart contract address(es) for every game they deploy, allowing their revenue to be tracked independently. The deployment process includes instructions on integrating the game as a package into the operator's frontend. In subsequent phases, the games will transition through WINR Chain, streamlining user onboarding steps like wallet connection and token bridging to Arbitrum. This abstraction will make it easy for any web2/web3 platform on any chain to seamlessly integrate WINR-based games with just a few clicks. The new budget system changes how the revenue is calculated on the protocol and will see daylight with frontend operator, Solana, and Fantom deployments. This model was first tested with a lightweight version on and gave a lot of actionable feedback. Shifting from the existing bribe model, which in practice distributes almost half of the edge of the games in volume to WINR holders, the brand-new budget system checks the profitability of WLP. It distributes a larger part of the profit to game providers, frontend operators, and, most importantly, WINR holders. Any time a game's budget is in profit, a part of every loss is distributed to stakeholders. Here is an example: 1. The WINR Bonanza Game has a 10,000 budget for a frontend operator. 2. Let's assume the bet amount was $50, and Bonanza paid back $10 on that spin. That leaves $40 of pure profit. 3. This is distributed amongst 50% to WLP, 20% to frontend operators, 20% to WINR holders, and 10% to game providers. 4. To achieve this, V2 of WINR Liquidity Engine (WLP) will have a buffer for purchasing and selling, working in epochs to determine the above distribution and math. - Solana Deployment and Expansions: Solana audits are in their final phase, and frontend tests are ongoing. Solana launch will be alongside the V2 launch of @JustBetOfficial, with a chain switch available on the top bar. The VRF system WINR developed already is seeing requests from builders around the Solana ecosystem, and this will over time add an extra layer of income to the protocol. Solana's bankroll, at first, will be a lighter version of WLP but will inherit the above-mentioned budgeting system to generate income immediately upon launch. - Fantom Deployment and Expansions: Fantom's upcoming Sonic upgrade, with its 200ms finality and fast block production is a perfect chain for WINR Protocol to expand. Through the partnership with WINR Protocol will tap into a brand new user base on Fantom. The bankroll on Fantom will consist of FTM and stables. The launch is planned for late March or early April. This expansion aims to open up new markets and collaborations with fresh teams. which operates independently, will integrate a broad spectrum of WINR technologies, including WINR Account Abstraction, WINR VRF, and WINR games, marking a pivotal step in WINR Protocol’s journey of horizontal expansion. - XAI VRF Deployment Progress Update: The WINR Account Abstraction Wallet and WINR Verifiable Random Function (VRF) deployment on the XAI 🎮⛓️ is well underway, with the majority of the work completed. This step forward showcases WINR's expansion beyond gambling and trading, highlighting the protocol's adaptability and commitment to broadening decentralized services. The process to automize and permissionlessly let game developers start using WINR VRF by paying (and burning) fees in WINR will launch alongside WINR VRF deployment on XAI and expand to further chains to help DApp builders with the tooling they need. This process will work very similarly to frontend operators, where DApp builders will be able to easily deploy their VRF contract, pay the WINR fees, and enjoy the fastest random number generation transaction, as showcased on @JustBetOfficial for some time. - JustBet v2 Development Update: Set to launch in March, the last testing phase with long-time community members of JustBet V2 is underway. Boasting a completely refreshed look, JustBet v2 aims to captivate more users with its modern features, a significant upgrade from the classic JustBet designed in 2019. Expect dynamic animations and a user experience that rivals traditional web2 casinos, setting a new standard for online gambling platforms and serving once again as proof of concept for all the new WINR features and infrastructure set to launch over the coming months. As always, WINR Labs simultaneously develops protocol infrastructure and platform to best address the needs of one and only goal: horizontal expansion. Easter eggs: Upcoming Gitbook update with all the technical information of WINR V2. CEX listing. Detailed product pages on WINR web. Pyth competitions. WIP-4 and WIP-5 are ready to deploy. And an 🪂

WINR

37,919 просмотров • 2 лет назад

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!
19:06

Dear ICP community, the Internet Computer has now been running strong for 5 years 👏👏👏 Here is a celebratory preview of ICP "cloud engines," the sovereign frontier cloud technology the network shall soon provide from Main points: — Cloud engines enable anyone to spin up their own sovereign frontier cloud. The technology involves an extraordinary inventive step, in which cloud is created from a mathematically secure network of nodes. The nodes run as part of the Internet Computer network ( but are selected and configured by the cloud engine's owner. — The frontier cloud provided by engines is strongly focused on enabling AI agents to build and update online applications and services for us. The world is changing fast, and nearly all new online apps and services are already being built with the help of AI, and thus cloud engines target the future of cloud. — Software hosted on cloud engines is tamperproof, which means that it is immune to infrastructure hacks, because it runs inside a mathematically secure network protocol, rather than on computers directly. This means that AI agents, and those building with them, don't need to have a security team in the loop, or to trust someone else's security team. This is crucial, because in the future, non technical people will demand the freedom to build with full automation — where they just need to issue instructions to AI about what to build, and don't need to worry about anything or anyone else. Of course, apps and services running on engines are also vastly safer from the new breed of hacker being enabled by frontier AI. (The cloud engines themselves are also "tamperproof." Even if a hacker gains physical access to some portion of a cloud engine's nodes, and can make arbitrary changes, the computations and data of the hosted apps and services cannot be corrupted or interrupted so long as the network's fault bounds aren't exceeded. The recent hack of Vercel, a major cloud platform, which gave hackers access to the apps it hosted, provides additional perspective on the importance of this advantage.) — Software hosted on cloud engines is guaranteed to run, so long as a sufficient number of the engine's nodes are running. This means that AI can build applications and services without the need to have a human systems admin team constantly tinkering with the underlying platform to keep it running, which is again crucial, because in the future, non technical people will expect the freedom to use AI to build without the support of others. — New frontier programming language technology, in the form of the Motoko language developed by Caffeine Labs, leverages seminal "orthogonal persistence" technology that unifies program logic and data to deliver further unlocks for AI (Motoko is the first computer language being developed that targets agents that are writing software rather than humans engineers per se). Nowadays, AI can build and update production apps at a prodigious rate, even at the speed of conversation. But it can also make mistakes, and there's a risk that an update it creates might be "lossy" in the sense it causes some transformed data to be lost. Again, in this new world, it's both undesirable and impractical for everyone to have to have a systems admin team on-hand to detect lossy updates and roll them back, but Motoko provides a solution: it can detect new software updates are lossy before they are applied, reducing potentially catastrophic errors by AI to harmless coding retries. — Software hosted on cloud engines is "serverless" but unlike traditional serverless software, directly it directly incorporates data through "orthogonal persistence." Another key purpose is simplify backend software logic and fuel the modeling power of AI by increasing abstraction (sorry for the technical language!!!). Put simply, this enables AI to produce more sophisticated backends, faster, and at dramatically lower costs, as measured by the number AI API tokens consumed during coding. (Tip for the technical: orthogonal persistence is a new paradigm where "the program is the database," and data lives inside program variables, which is possible because it's as if hosted software runs forever in persistent memory). — An expanding database of skills at shall make it possible to develop and directly deploy apps and services to your cloud engines directly from Claude Code, Perplexity, Codex and other AI platforms. Further, your account on can be connected, so that new apps and updates created through conversation automatically appear hosted from your cloud engine. In the future, R&D is going to be very seamless. You converse with AI, and your secure and unstoppable apps or services are created or updated. Cloud engines are designed to directly support this "self-writing cloud" future where we can work hands-free. — Tech sovereignty is becoming a huge issue worldwide, with governments and corporations seeking to create sovereign tech stacks owing to geopolitical tensions. Increasingly, people are realizing that tech provided by foreign nations can come with hidden backdoors and kills switches, from the base platform, right up through hosted apps and services. ICP technology is open source, and those building on ICP using AI own their own source code. When you have the source code, you can verify that there are no backdoors, and when you own the source code thanks to AI, you can update it at will, freeing you from vendor lock-in. But cloud engines take sovereignty much further... — You create a cloud engine by selecting the nodes that will be combined. You can choose the class of nodes used, and their number, but more importantly, you can choose who operates the nodes, and where they are located. Almost any configuration is possible, because the Internet Computer scales the security privileges afforded to hosted software within the network according to configuration (software hosted on cloud engines can directly interoperate with software on other engines and traditional subnets, but base restrictions are applied according to security rules). A cloud engine can be created within a region such as Europe, to comply with regs such as GDPR, or completely within a sovereign state like Switzerland or Pakistan. But cloud engines go further still... — Sovereignty is also about freedom from vendor lock-in. Cloud engines are essentially ICP (Internet Computer Protocol) network configurations, and this means the underlying compute nodes they combine can be swapped out without interrupting their hosted apps and services. This is a big deal. In addition, cloud engines now support nodes that are instances running on Big Tech's clouds, in addition to nodes that are dedicated specialized hardware, as per the Gen I and Gen II nodes that dominate the Internet Computer today. For example, it is possible to have an engine running across different AWS data centers, say, and then reconfigure the engine to run across a mixture of AWS, Google, Azure and Hetzner for even more resilience, without the users of hosted apps and services noticing a thing. That's true freedom. — Sovereign AI is becoming increasingly important too, and cloud engines allow special "AI nodes" to be added to them, so that hosted software can perform inference on hardware provisioned by the owner from a location the owner has selected. Even though the AI nodes are only accessible within the cloud engine, they can still benefit from the forthcoming Internet Intelligence Gateway (IG), which will make it possible to validate inference performed on key frontier open weights LLMs, even when the inference is performed on completely independent AI clouds. When the results of inference are received, this technology can verify that neither the prompt+context (input) nor the inference result (output) have been modified, and that the results were produced by the precise LLM expected. This ensures that AI clouds don't cheat by running inference on cheaper models than are being paid for, and bad actors aren't modifying the inputs or outputs to surreptitiously insert advertising into results, say, or change facts, or insert malware when code is being generated. What's super cool about this technology is the cost of the verification is scalable. A very valuable additional security can be achieved with only 1-2% of extra cost. — Scaling apps and services when they hit capacity limits is another thorny problem that cloud engines help the world address. Engines make scaling possible without rewriting or reconfiguring software. The query workload capacity of hosted software can be horizontally scaled simply by adding new nodes to an engine, and nodes can also be added in geographical proximity to demand. Meanwhile, update workload capacity can first be scaled-up by swapping an engine's nodes out for the next class up, and then when no larger class of node is available, horizontally scaled-out by "splitting" the engine into two, which doubles available capacity. (Technical tip: horizontally scaling update capacity by splitting engines requires multi-canister architectures). — For those who have been following how Caffeine builds apps that can efficiently store large numbers of files, I should mention that apps built on cloud engines will also support the new ICP Blob Storage cloud network (since cloud engines currently have up to about 3 TB of memory, which apps storing large amounts of files can easily exceed). We are also working on allowing blob storage nodes to be added to cloud engines, to enable sovereign mass blob storage within an engine, similarly to how AI nodes can be added currently. — Lastly, but certainly not least, I should mention that cloud engines are multi-blockchain capable, and ready for digital assets, thanks to the clever math at their core. For example, an e-commerce service built on a cloud engine can securely accept and custody stablecoin payments, or a multi-chain DEX could be hosted. Further, engines can support software autonomy (software orchestrated and controlled by other autonomous software, in a decentralized way) and can themselves be orchestrated by SNS technology, and thus run autonomously too. Today, though, the focus is on *mainstream* cloud. This year, the cloud industry will generate approximately one trillion dollars in revenue. That number is already huge, but is expected to grow to two trillion dollars by 2030. After years of continuous development, which have seen more than $500m spent on R&D, the Internet Computer network is now tacking directly toward this mainstream cloud market with cloud engine technology. In their first version, cloud engines are not meant to be a cloud panacea. For example, currently they are not ideal for working with big data. You should use something like DataBricks for that. Cloud engines are carefully targeted at enabling AI to produce traditional online applications and services, including SaaS, in a safer and more productive way, which represents a new market segment with tremendous potential. Of course, DFINITY will continue to work relentlessly to push forward ICP's capabilities, so expect further developments. It's worth mentioning that this cloud segment isn't just about creating new apps and services using AI, it's also about replacing legacy systems and apps built on super expensive SaaS services. Caffeine Labs is working to produce technology (Caffeine Snorkel) that can study an enterprise's legacy systems and app built on SaaS, create replacement systems and apps, and migrate the data, while supporting key stakeholders through the process over email and chat, with full automation. Thus the legacy systems and SaaS markets shall also be addressed by cloud engines. Zooming out, and reasoning in a more metaphysical way, we believe, as we always have, that there is room for a new kind of cloud created by mathematical networks, that provides seminal advances in the fields of security and resilience, as well as true sovereignty and freedom from lock-in. That this same technology, with the help of additional technologies like orthogonal persistence and Motoko, enables AI to build for us without the need for so much oversight, and to create more backend sophistication while consuming fewer AI API tokens, enables ICP to bring game-changing advances to the world. Cloud engines will work synergistically with the Intelligence Gateway, which will enable apps and services running on engines to seamlessly leverage AI, wherever that AI is running, while providing verifiability at extremely low cost for open weights frontier models. We believe that cloud engines represent an inflection point in the storied history of the Internet Computer project, and I'm very proud to be sharing the details with you on the network's fifth birthday 💪 I'll be back with more news soon!!

dom | icp

326,728 просмотров • 4 месяцев назад

This will retire 90% of RAG systems with dignity (and a sad song playlist). Powered by DSPy: If you're still building "text in, text out" chatbots that only perform blind vector and text searches, you're not gonna make it! My team just dropped Elysia, and it's not just an incremental successor to Verba… It's a whole rethink of how we interact with our data using AI. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗘𝗹𝘆𝗶𝘀𝗮? An open-source platform for building agentic RAG architectures. It learns from your preferences, intelligently categorizes, labels, and searches through your data, and provides complete transparency into its decision-making process. The long & exciting feature list: • 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗧𝗿𝗲𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: Elysia’s core is a customizable decision tree, and it visualizes its entire reasoning process, showing you why it chooses a specific tool or path. It enables advanced error handling, self-healing from failed queries, and prevents infinite loops. You can also add custom tools and branches to build complex, state-aware workflows. • 𝗗𝗮𝘁𝗮 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀: Before it even attempts a query, Elysia performs a full analysis of your data collections. This eliminates the blind search problem plaguing most RAG systems and allows for far more complex and accurate query generation. • 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗮𝘁𝗮 𝗗𝗶𝘀𝗽𝗹𝗮𝘆𝘀: Your RAG pipeline shouldn't be limited to text, right? That’s why Elysia analyzes each query's results and chooses the best way to display them, from tables and charts to product cards and GitHub tickets. It also features a comprehensive data explorer with search, sorting, and filtering capabilities. • 𝗛𝘆𝗽𝗲𝗿-𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: It uses your positively-rated queries as few-shot examples to improve future responses. This allows you to use smaller, faster models that perform like larger ones over time, cutting costs without sacrificing quality for most use cases. • 𝗖𝗵𝘂𝗻𝗸-𝗢𝗻-𝗗𝗲𝗺𝗮𝗻𝗱: Elysia chunks documents at query time. It performs initial searches on document-level vectors and only chunks relevant documents on the fly, storing them in a parallel quantized collection with cross references for future use. 𝗧𝗵𝗲 𝗦𝘁𝗮𝗰𝗸 Elysia is built from scratch on Weaviate, using its native features like named vectors, a variety of search types, filters, cross references, quantization, etc. It uses DSPy for LLM interactions and is delivered as a production-ready application via FastAPI, serving a NextJS frontend as static HTML. Also available as a Python package via pip: 𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗲𝗹𝘆𝘀𝗶𝗮-𝗮𝗶 Type: 𝗲𝗹𝘆𝘀𝗶𝗮 𝘀𝘁𝗮𝗿𝘁 Connect your Weaviate cluster and go explore what’s possible.
0:35

This will retire 90% of RAG systems with dignity (and a sad song playlist). Powered by DSPy: If you're still building "text in, text out" chatbots that only perform blind vector and text searches, you're not gonna make it! My team just dropped Elysia, and it's not just an incremental successor to Verba… It's a whole rethink of how we interact with our data using AI. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗘𝗹𝘆𝗶𝘀𝗮? An open-source platform for building agentic RAG architectures. It learns from your preferences, intelligently categorizes, labels, and searches through your data, and provides complete transparency into its decision-making process. The long & exciting feature list: • 𝗧𝗿𝗮𝗻𝘀𝗽𝗮𝗿𝗲𝗻𝘁 𝗗𝗲𝗰𝗶𝘀𝗶𝗼𝗻-𝗧𝗿𝗲𝗲 𝗔𝗴𝗲𝗻𝘁𝘀: Elysia’s core is a customizable decision tree, and it visualizes its entire reasoning process, showing you why it chooses a specific tool or path. It enables advanced error handling, self-healing from failed queries, and prevents infinite loops. You can also add custom tools and branches to build complex, state-aware workflows. • 𝗗𝗮𝘁𝗮 𝗔𝘄𝗮𝗿𝗲𝗻𝗲𝘀𝘀: Before it even attempts a query, Elysia performs a full analysis of your data collections. This eliminates the blind search problem plaguing most RAG systems and allows for far more complex and accurate query generation. • 𝗗𝘆𝗻𝗮𝗺𝗶𝗰 𝗗𝗮𝘁𝗮 𝗗𝗶𝘀𝗽𝗹𝗮𝘆𝘀: Your RAG pipeline shouldn't be limited to text, right? That’s why Elysia analyzes each query's results and chooses the best way to display them, from tables and charts to product cards and GitHub tickets. It also features a comprehensive data explorer with search, sorting, and filtering capabilities. • 𝗛𝘆𝗽𝗲𝗿-𝗣𝗲𝗿𝘀𝗼𝗻𝗮𝗹𝗶𝘇𝗮𝘁𝗶𝗼𝗻 𝘃𝗶𝗮 𝗙𝗲𝗲𝗱𝗯𝗮𝗰𝗸: It uses your positively-rated queries as few-shot examples to improve future responses. This allows you to use smaller, faster models that perform like larger ones over time, cutting costs without sacrificing quality for most use cases. • 𝗖𝗵𝘂𝗻𝗸-𝗢𝗻-𝗗𝗲𝗺𝗮𝗻𝗱: Elysia chunks documents at query time. It performs initial searches on document-level vectors and only chunks relevant documents on the fly, storing them in a parallel quantized collection with cross references for future use. 𝗧𝗵𝗲 𝗦𝘁𝗮𝗰𝗸 Elysia is built from scratch on Weaviate, using its native features like named vectors, a variety of search types, filters, cross references, quantization, etc. It uses DSPy for LLM interactions and is delivered as a production-ready application via FastAPI, serving a NextJS frontend as static HTML. Also available as a Python package via pip: 𝗽𝗶𝗽 𝗶𝗻𝘀𝘁𝗮𝗹𝗹 𝗲𝗹𝘆𝘀𝗶𝗮-𝗮𝗶 Type: 𝗲𝗹𝘆𝘀𝗶𝗮 𝘀𝘁𝗮𝗿𝘁 Connect your Weaviate cluster and go explore what’s possible.

Philip Vollet

93,694 просмотров • 1 год назад

OpenAI and Anthropic this week: Navier-Stokes, An Alien Mind, Images 2.5, Pro pause, Pace the Frontier (Week 37, 2026) OpenAI shared a solution to the Navier-Stokes Millennium Prize Problem, produced in 88 hours by around 10,000 coordinating agents on an internal model still in training and significantly more capable than GPT-6 Astra, with an investigation finding Tristan Buckmaster's Codex prompts could not have influenced the system and no user data was accessed OpenAI says they have reached their automated research intern goal and are making strong progress toward an automated AI researcher by March 2028, with the research org at 3.1 agent-workdays per human workday and RL training on deployment-bound models partly paused after the Hugging Face incident OpenAI Chief Scientist Jakub Pachocki writes in An Alien Mind that no lab has solved alignment and monitoring well enough to keep scaling at maximum speed for much longer, and that GPT-6 Astra is the first model to benefit from some of their newer alignment work OpenAI called for mandatory capability-based national AI safety regulation, endorsed four California bills, said fully autonomous recursive self-improvement should not be pursued until it can be done safely, and described Astra safeguards like universal monitoring of full trajectories including chains of thought OpenAI released ChatGPT Images 2.5 to all ChatGPT, ChatGPT Work, and Codex users with sharper details, up to 50% lower latency, comment-based edits, Sketch, and templates, plus GPT-Image-2.5 Flare and Sunburst in the API ChatGPT Voice can now use GPT-5.6 Sol and GPT-6 Astra when it needs to search or reason, GPT-Live-1 daily limits are simplified per plan, and extra Voice usage drops from 5 to 1.25 credits per minute for Business and Enterprise workspaces on credits OpenAI paused new subscriptions to the $200 ChatGPT Pro plan to protect access for existing GPT-6 Astra users, hours after a remote switch to pause Pro 20x purchases showed up in the web app Custom GPTs in ChatGPT will likely be retired on December 11 based on my findings, and OpenAI's new FAQ puts Enterprise migration at September 17 with new GPT creation ending September 25 and instructions becoming a plugin skill From the ChatGPT Android build, OpenAI is building a collaborative multiplayer document editor with dedicated gateway hosts and draft-conflict UI, an Artifacts Library with Favorites, and a credit score feature in ChatGPT Finance, and Locked Chats with a PIN are being prepared in the web app OpenAI released GPT-Live-1 in the API at $0.05 per minute, a voice model that listens and speaks at the same time and delegates reasoning to a backend model like GPT-6 Astra, and the Agents API in public beta running the Codex harness on OpenAI's infrastructure with only the sandbox left for you to choose Deep research arrived in ChatGPT Work and Codex, a Data plugin connects Snowflake, Databricks, BigQuery, and Redshift to answer business questions and build dashboards, Library gained file and folder sharing, and Box, Dropbox, and SharePoint joined Google Drive in Library OpenAI launched ChatGPT for Financial Services with built-in premium data from Daloopa, PitchBook, LSEG News, and Crunchbase, shaped with Morgan Stanley and Evercore, and a GSA agreement gives US governments $0 license fees, 50% off usage, and Daybreak Blue at half price Smaller ChatGPT bits: a stock watchlist in Finances for US Plus and Pro, a small business plugin collection, over 5 million ChatGPT Sites built in three months, and the desktop pet can now start a new chat with a new Mini option OpenAI published The Work Now Within Reach, calling free access "supported by advertising", citing over one billion weekly active users, and saying they plan to begin deploying their Jalapeño inference chip by year-end OpenAI moved GPT-Rosalind out of research preview for eligible organizations worldwide, detailed Habitat with the service rewritten in Rust by two engineers with Codex and the platform serving over 70 million requests per second, and shared a case study of GPT-5.6 Sol calibrating a six-qubit chip at MIT Paul Christiano joined the OpenAI Foundation Board and the Safety and Security Committee, OpenAI committed $5 million to research on AI and teens, and expanded journalism programs from CUNY and Northwestern to Ukrainian newsrooms Anthropic published an alignment assessment of four incidents in which Claude models gained unauthorized access to real systems, adding a fourth found when assembling transcripts for METR, walking back their July 30 claims, and calling it a mistake that Claude Mythos 5 shipped without alignment environments Anthropic's most detailed threat intelligence report yet says Moonshot and DeepSeek silently relayed their own users' requests to Claude and served the responses as Kimi and DeepSeek output, with distillation campaigns attributed to Alibaba as the largest ever with more than 3,500 fraudulent accounts, plus Zhipu, Xiaomi, SenseTime, and MiniMax Anthropic's Frontier Red Team measured tactical intelligence targeting and conventional weapons capabilities, with Claude Mythos Preview leading the targeting evals, Claude Opus 5 leading the weapons software evals, and Mythos beating the top GeoGuessr division on photo geolocation Anthropic CEO Dario Amodei argues in We Must Pace the Frontier that the AI industry should slow down, commits to giving evaluators like METR permanent employee-level access, and OpenAI CEO Sam Altman replied that he agrees and OpenAI will commit to the same Anthropic's Economics team released a scenario explorer for AI's effect on the US economy by 2030, where even the extreme case grows the economy but reaches 15% annual GDP growth with unemployment beyond recessionary levels On the product side, Claude Code desktop can pop out any pane into its own window, Claude Managed Agents got a session viewer and auto mode, claude plugin eval scores your plugin or skill with and without it, and smart reports launched in beta for Claude Enterprise Anthropic shared lessons from their Claude SMB Tour with more than 1,000 small business owners, where data security was the most-cited adoption barrier and nearly two-thirds asked for more hands-on implementation help, and more
11:33

OpenAI and Anthropic this week: Navier-Stokes, An Alien Mind, Images 2.5, Pro pause, Pace the Frontier (Week 37, 2026) OpenAI shared a solution to the Navier-Stokes Millennium Prize Problem, produced in 88 hours by around 10,000 coordinating agents on an internal model still in training and significantly more capable than GPT-6 Astra, with an investigation finding Tristan Buckmaster's Codex prompts could not have influenced the system and no user data was accessed OpenAI says they have reached their automated research intern goal and are making strong progress toward an automated AI researcher by March 2028, with the research org at 3.1 agent-workdays per human workday and RL training on deployment-bound models partly paused after the Hugging Face incident OpenAI Chief Scientist Jakub Pachocki writes in An Alien Mind that no lab has solved alignment and monitoring well enough to keep scaling at maximum speed for much longer, and that GPT-6 Astra is the first model to benefit from some of their newer alignment work OpenAI called for mandatory capability-based national AI safety regulation, endorsed four California bills, said fully autonomous recursive self-improvement should not be pursued until it can be done safely, and described Astra safeguards like universal monitoring of full trajectories including chains of thought OpenAI released ChatGPT Images 2.5 to all ChatGPT, ChatGPT Work, and Codex users with sharper details, up to 50% lower latency, comment-based edits, Sketch, and templates, plus GPT-Image-2.5 Flare and Sunburst in the API ChatGPT Voice can now use GPT-5.6 Sol and GPT-6 Astra when it needs to search or reason, GPT-Live-1 daily limits are simplified per plan, and extra Voice usage drops from 5 to 1.25 credits per minute for Business and Enterprise workspaces on credits OpenAI paused new subscriptions to the $200 ChatGPT Pro plan to protect access for existing GPT-6 Astra users, hours after a remote switch to pause Pro 20x purchases showed up in the web app Custom GPTs in ChatGPT will likely be retired on December 11 based on my findings, and OpenAI's new FAQ puts Enterprise migration at September 17 with new GPT creation ending September 25 and instructions becoming a plugin skill From the ChatGPT Android build, OpenAI is building a collaborative multiplayer document editor with dedicated gateway hosts and draft-conflict UI, an Artifacts Library with Favorites, and a credit score feature in ChatGPT Finance, and Locked Chats with a PIN are being prepared in the web app OpenAI released GPT-Live-1 in the API at $0.05 per minute, a voice model that listens and speaks at the same time and delegates reasoning to a backend model like GPT-6 Astra, and the Agents API in public beta running the Codex harness on OpenAI's infrastructure with only the sandbox left for you to choose Deep research arrived in ChatGPT Work and Codex, a Data plugin connects Snowflake, Databricks, BigQuery, and Redshift to answer business questions and build dashboards, Library gained file and folder sharing, and Box, Dropbox, and SharePoint joined Google Drive in Library OpenAI launched ChatGPT for Financial Services with built-in premium data from Daloopa, PitchBook, LSEG News, and Crunchbase, shaped with Morgan Stanley and Evercore, and a GSA agreement gives US governments $0 license fees, 50% off usage, and Daybreak Blue at half price Smaller ChatGPT bits: a stock watchlist in Finances for US Plus and Pro, a small business plugin collection, over 5 million ChatGPT Sites built in three months, and the desktop pet can now start a new chat with a new Mini option OpenAI published The Work Now Within Reach, calling free access "supported by advertising", citing over one billion weekly active users, and saying they plan to begin deploying their Jalapeño inference chip by year-end OpenAI moved GPT-Rosalind out of research preview for eligible organizations worldwide, detailed Habitat with the service rewritten in Rust by two engineers with Codex and the platform serving over 70 million requests per second, and shared a case study of GPT-5.6 Sol calibrating a six-qubit chip at MIT Paul Christiano joined the OpenAI Foundation Board and the Safety and Security Committee, OpenAI committed $5 million to research on AI and teens, and expanded journalism programs from CUNY and Northwestern to Ukrainian newsrooms Anthropic published an alignment assessment of four incidents in which Claude models gained unauthorized access to real systems, adding a fourth found when assembling transcripts for METR, walking back their July 30 claims, and calling it a mistake that Claude Mythos 5 shipped without alignment environments Anthropic's most detailed threat intelligence report yet says Moonshot and DeepSeek silently relayed their own users' requests to Claude and served the responses as Kimi and DeepSeek output, with distillation campaigns attributed to Alibaba as the largest ever with more than 3,500 fraudulent accounts, plus Zhipu, Xiaomi, SenseTime, and MiniMax Anthropic's Frontier Red Team measured tactical intelligence targeting and conventional weapons capabilities, with Claude Mythos Preview leading the targeting evals, Claude Opus 5 leading the weapons software evals, and Mythos beating the top GeoGuessr division on photo geolocation Anthropic CEO Dario Amodei argues in We Must Pace the Frontier that the AI industry should slow down, commits to giving evaluators like METR permanent employee-level access, and OpenAI CEO Sam Altman replied that he agrees and OpenAI will commit to the same Anthropic's Economics team released a scenario explorer for AI's effect on the US economy by 2030, where even the extreme case grows the economy but reaches 15% annual GDP growth with unemployment beyond recessionary levels On the product side, Claude Code desktop can pop out any pane into its own window, Claude Managed Agents got a session viewer and auto mode, claude plugin eval scores your plugin or skill with and without it, and smart reports launched in beta for Claude Enterprise Anthropic shared lessons from their Claude SMB Tour with more than 1,000 small business owners, where data security was the most-cited adoption barrier and nearly two-thirds asked for more hands-on implementation help, and more

Tibor Blaho

15,710 просмотров • 19 дней назад

DARPA's NEW TECH that TERRIFIED CONGRESS. Understand DARPA's Nonsurgical Wireless Brain Computer Remote Interface Neurotechnology that uses light and sounds as weapons that can induce behavior, emotions, read and implant thoughts, pictures, etc. Now, combining this tech with A.I., we have reached unbelievable new levels of science that have opened pandora's box, and some of the things in pandora's box are extremely concerning for the future of humanity. For the past COUPLE of DECADES, DARPA, the DoD, military contractors, and leading universities have been constructing and implementing wireless, invisible weapons against the people right in front of you, and nobody even noticed. The weaponization of this tech is so dangerous that even the U.N. is sounding the alarm because of it's untraceable and unethical capabilities. This is an introduction and overview. Pay Attention. I show you things for a reason. Secretary of Energy Hazel Reid O'Leary, who served under the Clinton administration stated that over 500,000 thousand Americans have been used in human experiments, including mind control and other experiments over a period of four decades without their informed consent. This is only what they admit to, then programs get put under higher classification, or under the guise of "national security," or go black so even members of Congress might not even get access to such programs. Mk Ultra as well, back in the 1960's used over 4,000 military service men without their consent for human experiments such as mind control. No one to this day has been held accountable for these experiments on our military and American citizens. Since the mid 1980's, radio frequency energy has been mastered by professionals in the field and graduates of Yale University and others and have been working directly with the military on mind control operations. The equipment being used needs no implant device, mechanical, or electronic device attached to the human being to be able to induce specific behaviors, moods, even V2K which is "voice-to-skull" technology and the CIA, NSA, DARPA, and our military are extremely interested in this technology Following MK Ultra, attention shifted toward electromagnetic technologies, including extremely low frequency (ELF) and radio frequency (RF) waves, which can influence emotions and project voices into the human mind. The "Frey Effect," discovered in the 1960s, demonstrated that pulsed microwaves could produce audible effects or voices in a subject's head, also known as "voice-to-skull" (V2K). Declassified documents show the U.S. military and intelligence agencies explored and used this tech during the Gulf War in the 1990s. DARPA—established in 1958 to advance cutting-edge military technology—began funding projects that bridged neuroscience and electronics, laying the groundwork for brain-computer interfaces (BCIs). DARPA’s role expanded significantly in the 21st century with programs like the Next-Generation Nonsurgical Neurotechnology (N3) initiative, launched in 2018. N3 aims to develop non-invasive BCIs that allow soldiers to control drones or robots with their thoughts, using techniques like ultrasound, magnetic fields, and nanoparticles to interface with the brain. This builds on earlier DARPA efforts, such as the Revolutionizing Prosthetics program, which enabled thought-controlled artificial limbs. Concurrently, the Obama administration’s BRAIN Initiative, announced in 2013, sought to map the brain’s neural circuits and accelerate neurotechnology development. While framed as a scientific endeavor to treat neurological disorders, its overlap with DARPA funding—$225 million by 2015—imply heavy military applications, including behavior modification and thought decoding. The integration of ELF/RF frequencies with 5G and AI represents the latest frontier. 5G’s high-frequency millimeter waves and dense network of transmitters could, in theory, enhance the precision and range of electromagnetic signals targeting the brain. Paired with AI, which can analyze vast datasets of neural activity in real time, this technology enables remote behavior control and thought reading. DARPA’s N3 program, for instance, envisions two-way communication between brains and machines, potentially allowing external systems to interpret intentions or implant sensory feedback—like voices or emotions. Speculative claims suggest that military and intelligence agencies are weaponizing these tools to suppress fear in soldiers, influence adversaries’ decisions, or surveil thoughts. Today, these technologies raise profound ethical and practical questions. The line between enhancement and control blurs when AI-driven systems could override human autonomy. Reports of "targeted individuals" experiencing voice projection or emotional manipulation fuel speculation and aren't looking unrealistic after all. Arguments that the secrecy surrounding DARPA and CIA projects—echoing Mk Ultra’s hidden abuses—obscures the true extent of weaponization, while proponents frame advancements vital, for national security. The progression from Mk Ultra’s drug experiments and other crude techniques to master mind control have surpassed ELF/RF explorations, and now to DARPA’s AI-enhanced BCIs under the BRAIN Initiative reflects a trajectory toward increasingly sophisticated mind control capabilities. The addition of 5G’s infrastructure and other radar installations around the world amplifies the potential for remote influence, suggesting a future where thoughts, emotions, and behaviors could be manipulated, monitored, and induced. The WEF makes their goals for this tech more than clear on their own website. Privacy will no longer exist. While the military and intelligence agencies undeniably pursue these technologies for strategic advantage, the full scope of their operational use and the line between science fiction and reality is diminishing by the day now that these technologies are fully operational and in use today and have now entered the advertising industry and big tech. I'm sure you can figure out where this is all going, and honestly, it's not good.
12:36

DARPA's NEW TECH that TERRIFIED CONGRESS. Understand DARPA's Nonsurgical Wireless Brain Computer Remote Interface Neurotechnology that uses light and sounds as weapons that can induce behavior, emotions, read and implant thoughts, pictures, etc. Now, combining this tech with A.I., we have reached unbelievable new levels of science that have opened pandora's box, and some of the things in pandora's box are extremely concerning for the future of humanity. For the past COUPLE of DECADES, DARPA, the DoD, military contractors, and leading universities have been constructing and implementing wireless, invisible weapons against the people right in front of you, and nobody even noticed. The weaponization of this tech is so dangerous that even the U.N. is sounding the alarm because of it's untraceable and unethical capabilities. This is an introduction and overview. Pay Attention. I show you things for a reason. Secretary of Energy Hazel Reid O'Leary, who served under the Clinton administration stated that over 500,000 thousand Americans have been used in human experiments, including mind control and other experiments over a period of four decades without their informed consent. This is only what they admit to, then programs get put under higher classification, or under the guise of "national security," or go black so even members of Congress might not even get access to such programs. Mk Ultra as well, back in the 1960's used over 4,000 military service men without their consent for human experiments such as mind control. No one to this day has been held accountable for these experiments on our military and American citizens. Since the mid 1980's, radio frequency energy has been mastered by professionals in the field and graduates of Yale University and others and have been working directly with the military on mind control operations. The equipment being used needs no implant device, mechanical, or electronic device attached to the human being to be able to induce specific behaviors, moods, even V2K which is "voice-to-skull" technology and the CIA, NSA, DARPA, and our military are extremely interested in this technology Following MK Ultra, attention shifted toward electromagnetic technologies, including extremely low frequency (ELF) and radio frequency (RF) waves, which can influence emotions and project voices into the human mind. The "Frey Effect," discovered in the 1960s, demonstrated that pulsed microwaves could produce audible effects or voices in a subject's head, also known as "voice-to-skull" (V2K). Declassified documents show the U.S. military and intelligence agencies explored and used this tech during the Gulf War in the 1990s. DARPA—established in 1958 to advance cutting-edge military technology—began funding projects that bridged neuroscience and electronics, laying the groundwork for brain-computer interfaces (BCIs). DARPA’s role expanded significantly in the 21st century with programs like the Next-Generation Nonsurgical Neurotechnology (N3) initiative, launched in 2018. N3 aims to develop non-invasive BCIs that allow soldiers to control drones or robots with their thoughts, using techniques like ultrasound, magnetic fields, and nanoparticles to interface with the brain. This builds on earlier DARPA efforts, such as the Revolutionizing Prosthetics program, which enabled thought-controlled artificial limbs. Concurrently, the Obama administration’s BRAIN Initiative, announced in 2013, sought to map the brain’s neural circuits and accelerate neurotechnology development. While framed as a scientific endeavor to treat neurological disorders, its overlap with DARPA funding—$225 million by 2015—imply heavy military applications, including behavior modification and thought decoding. The integration of ELF/RF frequencies with 5G and AI represents the latest frontier. 5G’s high-frequency millimeter waves and dense network of transmitters could, in theory, enhance the precision and range of electromagnetic signals targeting the brain. Paired with AI, which can analyze vast datasets of neural activity in real time, this technology enables remote behavior control and thought reading. DARPA’s N3 program, for instance, envisions two-way communication between brains and machines, potentially allowing external systems to interpret intentions or implant sensory feedback—like voices or emotions. Speculative claims suggest that military and intelligence agencies are weaponizing these tools to suppress fear in soldiers, influence adversaries’ decisions, or surveil thoughts. Today, these technologies raise profound ethical and practical questions. The line between enhancement and control blurs when AI-driven systems could override human autonomy. Reports of "targeted individuals" experiencing voice projection or emotional manipulation fuel speculation and aren't looking unrealistic after all. Arguments that the secrecy surrounding DARPA and CIA projects—echoing Mk Ultra’s hidden abuses—obscures the true extent of weaponization, while proponents frame advancements vital, for national security. The progression from Mk Ultra’s drug experiments and other crude techniques to master mind control have surpassed ELF/RF explorations, and now to DARPA’s AI-enhanced BCIs under the BRAIN Initiative reflects a trajectory toward increasingly sophisticated mind control capabilities. The addition of 5G’s infrastructure and other radar installations around the world amplifies the potential for remote influence, suggesting a future where thoughts, emotions, and behaviors could be manipulated, monitored, and induced. The WEF makes their goals for this tech more than clear on their own website. Privacy will no longer exist. While the military and intelligence agencies undeniably pursue these technologies for strategic advantage, the full scope of their operational use and the line between science fiction and reality is diminishing by the day now that these technologies are fully operational and in use today and have now entered the advertising industry and big tech. I'm sure you can figure out where this is all going, and honestly, it's not good.

The SCIF

163,123 просмотров • 1 год назад

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)
0:20

Tlon Messenger is now open to everyone. We built a simple and infinitely flexible platform for you to use AI agents with your friends. We think it’s pretty amazing, we love using it every day, and we want to see what people can do with it. So we’re opening it up to the public. It’s fun and exciting to build the future of personal computing in an informal, chat-based way with your friends. (You can skip the rest and just download it from the link in the next tweet if you want.) If you don’t want your digital future to be owned by a giant company but you want to explore what’s possible in this new era of agent-driven computing, you should try using Tlon. But wait, what is it? Tlon is a messaging platform built 100% open source, decentralized and owned by its users from the ground up. With Tlon you own everything: your data, your workflows, your programs: the whole thing. Think of it like Telegram or WhatsApp that you own forever and you can freely customize. Every Tlon account comes with an OpenClaw-powered bot. (Don’t worry, we safely run OpenClaw for you in our infrastructure so your bot can’t go off the rails. You’re also welcome to host your own claw if you want maximal control.) We use our bots to collect research, build nuanced daily briefings, collate data from all our disparate services. Tlon makes it insanely easy to use OpenClaw by simply installing an app from the app store, we let you keep your data and programs independent from any app or model provider, and provide the canvas to explore what’s possible. What’s most interesting for us is using bots together. On Tlon bots can create groups, augment them, moderate them, invite others and freely engage with both users and other bots. Tlon is an open playing field unlike what’s possible on conventional platforms. So, what do we do with Tlon? First and foremost, we run Tlon on Tlon. Bots coordinate data from all of our services (Linear, GitHub, all of our servers and infrastructure) and handle alerts, briefings and help us track down bugs in place. Having all of this easily synced between a desktop client and a mobile app is quick and convenient. We use bots to research new areas of work or interest. Bots can compile trees of notes, use different models to evaluate them, and then add on autoresearch-like automations to go even deeper. Since Tlon bots can freely switch between models and providers, we often pass research to Anthropic, OpenAI and self-hosted models to see different results. The most fun part of using bots as researchers is doing it together. “Put together short (~500 word) notes on the 10 most popular open source messaging protocols of the past twenty years, put them in a notebook inside a group and invite Corrina, Walt and Bill as well as their bots” is a good example. Together we’re able to move more quickly than we would on our own. Many of us also use bots to keep track of all the separate threads of work in our personal lives with close friends and family. Someone built a system for keeping track of their garden across time, someone else built a system for prepping lunches for their daughter and sending recipes to family members. Another team member built an integration that tracks what flights are passing overhead so they get a push notification every time a plane goes by. Many of us quickly communicate with our bots via voice memo when we’re out and about. Having a single interface to all the models that also holds all our data and is in our pockets feels great. Especially when the data goes into a single archive. Why is Tlon different? Every Tlon account runs on top of your very own personal server. If you ever want to download it and run it yourself, you can. If we ever go out of business, it’s yours to keep. This is very different from anything that already exists. You can’t keep your WhatsApp forever. You can’t keep your Telegram forever. Tlon is an archival-quality system that’s yours to customize. Why did we build it? In my 1999 imagination, sitting in front of a CRT somewhere in the California countryside listening to Underworld and the sound of a modem, a connected computer was an engine of unending creative potential for everyone. When I was a teenager, a computer with an internet connection felt like an infinite expanse of possibility. Not only could you use the computer to find new tools to experiment with—you could also build whatever tool you could think of. It seemed like anything was possible. I looked forward to a future where everyone could build whatever software they needed, whenever they needed it. It turned out, in the intervening twenty years, that to build and customize software you have to both write code and host it on a server somewhere. For most people, so far, that has been impossible. Instead of controlling our software, our software controls us. We rely on others to build it and decide everything about it: how it works, looks, how much it spies on us and how long it lives. But all of this is changing, fast. The hottest programming language of 2026 is English. People with no technical experience are building their own tools. It’s incredible. The expanse has opened up again. The cost of building what we think of today as software is headed to zero. What yesterday was an entire app is rapidly being replaced by a conversation. The result is hyper-specific, tailored to the user and much more efficient. Today, agents help us build workflows, automate processes and pull together disparate sources of data. All of the annoying apps and services and clunky interface we’ve put up with can just disappear. We can now program and control our computers in the programming language we already know: English. There aren’t that many of us doing this yet, though. It’s still far too hard to set up, to distribute and to trust. There’s also no single platform to experiment on and collaboratively imagine this new future of personal computing. We want everyone to be able to build bespoke, ultra-personal software on demand. We think software should be as available and accessible as a pen and paper. We think anyone should be able to enjoy the expanse of possibility that the computer provides with the lowest possible barrier to entry and the highest possible quality. So, starting far, far too long ago, we engineered a whole new system for it. Just for you. We’re opening up Tlon Messenger to a limited number of people each week. This isn’t for exclusivity’s sake, but because we’re running infrastructure for you and your agent, and covering the tokens your agent uses. That can get expensive quickly, but we want to learn what people will do with this new system we’ve built. We’re really curious to see what you can do, so give it a try and tell us what you invent. Download link to your local app store in the next tweet. Yours, Galen (and the rest of the Tlon Team)

Tlon

601,444 просмотров • 3 месяцев назад

Ahmedabad Crime Branch is making use of technical measures to avoid any stampede kind of situation. Anti stampede visual analytics,using reference area and crowd movement, head count algorithm. Anti-stampede algorithms on CCTV cameras are a crucial advancement in crowd management, leveraging AI and image processing to prevent dangerous situations in densely populated areas. Here's a breakdown of their usage: How they work: Real-time monitoring: AI-powered CCTV cameras continuously analyze video streams in real-time. Crowd density estimation: Algorithms calculate the number of people in a given area. This can involve: Pixel-based analysis: Converting images to black and white and counting "black pixels" (representing people). Object detection: Using machine learning models (like Mask R-CNN) to identify and count individuals, often by detecting heads or torsos. Thresholding: Pre-defined "threshold values" for crowd density are established. When the detected density crosses these thresholds, it triggers an alert. Anomaly detection: Beyond just density, these algorithms can identify unusual crowd behaviors such as: * Sudden surges in movement. * Unusual clustering patterns. * Fallen individuals. * Aggressive movements. Alerting authorities: Upon detecting a potential stampede risk, the system sends immediate alerts to security personnel or control rooms via LCD displays, GSM messages, or other communication channels. Predictive analytics: Some advanced systems use time-series prediction models to forecast crowd behavior and dynamics based on historical and real-time data, helping anticipate potential bottlenecks or overcrowding. Reinforcement learning: Algorithms can learn from past incidents to suggest optimal crowd flow routes and alternative evacuation paths during emergencies. Benefits: Proactive prevention: The primary benefit is the ability to detect and warn of potential stampedes before they occur, allowing authorities to take preventative measures. Real-time insights: Provides immediate and accurate data on crowd density and movement, far surpassing manual observation. Enhanced safety: Significantly improves safety in public spaces by reducing human error and enabling swift responses to risks. Optimized resource allocation: Helps in better deployment of security personnel and resources to areas with high crowd density. Improved efficiency: Automates a labor-intensive task, freeing up human operators for more complex decision-making. Data for future planning: The collected data can be analyzed to improve crowd management strategies for future events. Challenges: Accuracy limitations: While advanced, AI algorithms can still face challenges with: Occlusion: People blocking each other, making accurate counting difficult. Varying conditions: Changes in lighting, weather, and camera angles can affect accuracy. Bias in training data: Can lead to false positives or inaccurate detections. Computational complexity and cost: Developing and deploying such systems can be expensive due to the need for high-resolution cameras, powerful processing units, and sophisticated algorithms. Data privacy and ethical concerns: The extensive use of CCTV and AI raises concerns about individual privacy and potential misuse of data. Integration with existing infrastructure: Integrating new AI-powered systems with older CCTV networks can be complex. Human intervention still crucial: While AI can alert, human responders are still essential for effective intervention and crowd dispersal. As seen in the Kumbh Mela example, even with AI alerts, a lack of ground personnel can limit effectiveness. Defining thresholds: Determining appropriate crowd density thresholds for different environments and cultural contexts can be challenging. Real-world applications: Large public gatherings: Religious festivals (like the Kumbh Mela in India, which has used AI for crowd management), concerts, sports events, and political rallies. Transportation hubs: Railway stations, airports, and bus terminals to manage passenger flow. Shopping malls and commercial centers: To monitor crowd density during peak hours and special events. Stadiums and arenas: For managing ingress, egress, and crowd movement during events. Tourist attractions: To prevent overcrowding at popular sites. Overall, anti-stampede algorithms on CCTV cameras represent a significant leap forward in ensuring public safety, offering a powerful tool for proactive crowd management. However, their successful implementation requires careful consideration of technological limitations, ethical implications, and the continued need for effective human intervention. Ahmedabad Police અમદાવાદ પોલીસ Vijay Patel | Megh Updates 🚨™ | Akash Anand | | #BengaluruStampede | #Stampede
0:37

Ahmedabad Crime Branch is making use of technical measures to avoid any stampede kind of situation. Anti stampede visual analytics,using reference area and crowd movement, head count algorithm. Anti-stampede algorithms on CCTV cameras are a crucial advancement in crowd management, leveraging AI and image processing to prevent dangerous situations in densely populated areas. Here's a breakdown of their usage: How they work: Real-time monitoring: AI-powered CCTV cameras continuously analyze video streams in real-time. Crowd density estimation: Algorithms calculate the number of people in a given area. This can involve: Pixel-based analysis: Converting images to black and white and counting "black pixels" (representing people). Object detection: Using machine learning models (like Mask R-CNN) to identify and count individuals, often by detecting heads or torsos. Thresholding: Pre-defined "threshold values" for crowd density are established. When the detected density crosses these thresholds, it triggers an alert. Anomaly detection: Beyond just density, these algorithms can identify unusual crowd behaviors such as: * Sudden surges in movement. * Unusual clustering patterns. * Fallen individuals. * Aggressive movements. Alerting authorities: Upon detecting a potential stampede risk, the system sends immediate alerts to security personnel or control rooms via LCD displays, GSM messages, or other communication channels. Predictive analytics: Some advanced systems use time-series prediction models to forecast crowd behavior and dynamics based on historical and real-time data, helping anticipate potential bottlenecks or overcrowding. Reinforcement learning: Algorithms can learn from past incidents to suggest optimal crowd flow routes and alternative evacuation paths during emergencies. Benefits: Proactive prevention: The primary benefit is the ability to detect and warn of potential stampedes before they occur, allowing authorities to take preventative measures. Real-time insights: Provides immediate and accurate data on crowd density and movement, far surpassing manual observation. Enhanced safety: Significantly improves safety in public spaces by reducing human error and enabling swift responses to risks. Optimized resource allocation: Helps in better deployment of security personnel and resources to areas with high crowd density. Improved efficiency: Automates a labor-intensive task, freeing up human operators for more complex decision-making. Data for future planning: The collected data can be analyzed to improve crowd management strategies for future events. Challenges: Accuracy limitations: While advanced, AI algorithms can still face challenges with: Occlusion: People blocking each other, making accurate counting difficult. Varying conditions: Changes in lighting, weather, and camera angles can affect accuracy. Bias in training data: Can lead to false positives or inaccurate detections. Computational complexity and cost: Developing and deploying such systems can be expensive due to the need for high-resolution cameras, powerful processing units, and sophisticated algorithms. Data privacy and ethical concerns: The extensive use of CCTV and AI raises concerns about individual privacy and potential misuse of data. Integration with existing infrastructure: Integrating new AI-powered systems with older CCTV networks can be complex. Human intervention still crucial: While AI can alert, human responders are still essential for effective intervention and crowd dispersal. As seen in the Kumbh Mela example, even with AI alerts, a lack of ground personnel can limit effectiveness. Defining thresholds: Determining appropriate crowd density thresholds for different environments and cultural contexts can be challenging. Real-world applications: Large public gatherings: Religious festivals (like the Kumbh Mela in India, which has used AI for crowd management), concerts, sports events, and political rallies. Transportation hubs: Railway stations, airports, and bus terminals to manage passenger flow. Shopping malls and commercial centers: To monitor crowd density during peak hours and special events. Stadiums and arenas: For managing ingress, egress, and crowd movement during events. Tourist attractions: To prevent overcrowding at popular sites. Overall, anti-stampede algorithms on CCTV cameras represent a significant leap forward in ensuring public safety, offering a powerful tool for proactive crowd management. However, their successful implementation requires careful consideration of technological limitations, ethical implications, and the continued need for effective human intervention. Ahmedabad Police અમદાવાદ પોલીસ Vijay Patel | Megh Updates 🚨™ | Akash Anand | | #BengaluruStampede | #Stampede

Janak Dave

339,758 просмотров • 1 год назад

🚨 OPERATIONAL UPDATE: ISRAEL U.S. WAR WITH THE ISLAMIC REPUBLIC - Reporting Window: Last 24 Hours ✳️The war is entering its final phase, but the battlefield is becoming more dangerous, not less. For the first time since the conflict began, the United States has signaled that its objectives against Iran have largely been achieved and that military operations could conclude within 2 to 3 weeks. At the same time, the operational picture tells a more complex story. Strikes inside Iran are intensifying, not slowing. Iran’s responses are becoming less concentrated but more geographically expansive. And across the region, the risk of broader escalation remains very real. This is no longer an open-ended war. It is a race between final military objectives and the risk of wider regional destabilization. ━━━━━━━━━━━━━━━━━━ 🏁 POLITICAL ENDGAME SIGNAL EMERGES President Donald Trump stated that the war could end within weeks, indicating that core objectives have been achieved, including the degradation of Iran’s strategic capabilities and the disruption of its leadership structure. He also signaled that the United States does not intend to remain indefinitely engaged, suggesting that responsibility for securing critical global nfrastructure, particularly the Strait of Hormuz, may shift to regional and international stakeholders. At the same time, tensions with NATO allies are surfacing. Frustration over limited allied participation in the war has raised the possibility of a broader fracture within the Western alliance structure. Parallel reporting indicates that elements within Iran are signaling openness to a ceasefire framework, particularly if maritime access through Hormuz is restored. Taken together, this marks a clear transition: the war now has a defined political end state, even as military operations continue. ━━━━━━━━━━━━━━━━━━ ✈️ FINAL PHASE STRIKE CAMPAIGN INSIDE IRAN The intensity of strikes over the past 24 hours reflects what appears to be end-stage shaping operations. Israeli and US-aligned strikes targeted a wide range of sites across Iran, including weapons production facilities, research and development centers, and critical infrastructure nodes tied to the regime’s military capabilities. Tehran remains a central focus. Approximately twenty military-industrial sites were struck, along with infrastructure at Mehrabad Airport and locations linked to Basij coordination. A senior Quds Force engineering figure, Mahdi Vafaei, was eliminated in a precision strike. His role in developing underground weapons infrastructure across Lebanon and Syria made him a key long-term asset for Iran’s regional military network. Additional strikes hit industrial targets, including steel production facilities and a site identified as supporting materials linked to Iran’s chemical weapons development pipeline. This is not a campaign aimed at symbolic damage. It is a systematic effort to dismantle Iran’s ability to produce, coordinate, and sustain war over time. ━━━━━━━━━━━━━━━━━━ 🎯 IRANIAN RESPONSE AND CIVILIAN IMPACT Iran continues to launch missiles toward Israel, but at a reduced scale compared to earlier phases of the war. Limited salvos were recorded over the past 24 hours, causing injuries and localized damage. One of the most significant developments was the reported use of cluster munitions in central Israel, critically injuring a child and causing multiple casualties. At the same time, Iran appears to be adapting operationally. Rather than attempting large-scale saturation attacks, it is increasingly relying on smaller strikes, drones, and diversified targeting strategies. This does not indicate de-escalation. It reflects an effort to remain operational under sustained pressure. ━━━━━━━━━━━━━━━━━━ 🌍 REGIONAL EXPANSION: THE WAR SPREADS While direct attacks on Israel have become more limited in scale, Iran is expanding the conflict across the region. In the Gulf, infrastructure in Kuwait and Bahrain was struck, including fuel storage facilities at Kuwait International Airport. Fires and damage were reported, adding to a growing pattern of attacks on energy and logistical nodes. A commercial tanker was also struck near Qatar, further extending the conflict into maritime space. These developments mark a continued shift where Iran is targeting not just Israel, but the broader economic and energy architecture of the region. ━━━━━━━━━━━━━━━━━━ 🚢 THE STRAIT OF HORMUZ The strategic center of gravity in this war is now unmistakable. The Strait of Hormuz remains contested, with ongoing disruption to global shipping and energy flows. The United States is actively evaluating options to reopen and secure the waterway, including potential direct military action against Iranian coastal capabilities. At the same time, Gulf states, particularly the UAE, are pushing for a coordinated military effort to ensure the strait is reopened. However, regional positioning remains complex, with some actors balancing public caution and private pressure. Notably, the United States has signaled that it may not take long-term responsibility for securing Hormuz, instead shifting that burden to global stakeholders. The implication is clear: control of Hormuz will determine not only the outcome of the war, but its aftermath. ━━━━━━━━━━━━━━━━━━ 🔥 NORTHERN AND PROXY FRONTS Iran’s proxy network remains active, but increasingly strained. In Lebanon, Israeli strikes continue to target Hezbollah leadership and infrastructure, including the reported elimination of a senior commander in Beirut. Rocket fire persists, but Israeli operations are steadily degrading launch capabilities. In Yemen, the Houthis have formally entered the fight against Israel and are likely contributing to the expanding pattern of regional attacks, including those affecting Gulf infrastructure. Across Iraq and Syria, Iranian-aligned militias remain engaged, while underlying instability continues to create openings for additional actors. This is now a multi-front conflict, but one in which Iran’s network is under pressure across every axis. ━━━━━━━━━━━━━━━━━━ 🧠 WARFARE EVOLUTION A critical and often overlooked development is the role of advanced targeting systems. Israel is employing AI-assisted capabilities to identify threats, prioritize targets, and synchronize strikes across multiple theaters in near real time. This has significantly compressed the operational cycle, allowing for rapid follow-up strikes and reduced recovery time for Iranian forces. The result is a battlefield environment where Iran has less time to act, less time to adapt, and fewer opportunities to rebuild degraded capabilities. ━━━━━━━━━━━━━━━━━━ 📊 THE BIG PICTURE The trajectory of the war is now coming into focus. The United States and Israel are executing a campaign designed to dismantle Iran’s ability to function as a coherent military actor. Iran, in response, is expanding the conflict geographically in an attempt to impose broader costs. At the same time, political signals indicate that the war is approaching a defined end state. Markets are already reacting to this expectation, with oil prices declining and global indices rising on the assumption that the conflict may soon conclude. However, the final phase carries its own risks. As Iran’s conventional capabilities degrade, its reliance on asymmetric and regional tactics is increasing. The decisive question is no longer how the war is fought day to day. It is whether the final objectives can be secured before broader escalation overtakes them. ━━━━━━━━━━━━━━━━━━ 📘 BOOK RECOMMENDATION If you want a deeper understanding of the history, narratives, and strategic realities behind this conflict: Contested Land, Uncontested Truth This book breaks down the ideological, geopolitical, and historical forces that led directly to moments like this, with clarity and evidence. 👉 If you found this report valuable, share it. Follow for daily operational updates.
2:50

🚨 OPERATIONAL UPDATE: ISRAEL U.S. WAR WITH THE ISLAMIC REPUBLIC - Reporting Window: Last 24 Hours ✳️The war is entering its final phase, but the battlefield is becoming more dangerous, not less. For the first time since the conflict began, the United States has signaled that its objectives against Iran have largely been achieved and that military operations could conclude within 2 to 3 weeks. At the same time, the operational picture tells a more complex story. Strikes inside Iran are intensifying, not slowing. Iran’s responses are becoming less concentrated but more geographically expansive. And across the region, the risk of broader escalation remains very real. This is no longer an open-ended war. It is a race between final military objectives and the risk of wider regional destabilization. ━━━━━━━━━━━━━━━━━━ 🏁 POLITICAL ENDGAME SIGNAL EMERGES President Donald Trump stated that the war could end within weeks, indicating that core objectives have been achieved, including the degradation of Iran’s strategic capabilities and the disruption of its leadership structure. He also signaled that the United States does not intend to remain indefinitely engaged, suggesting that responsibility for securing critical global nfrastructure, particularly the Strait of Hormuz, may shift to regional and international stakeholders. At the same time, tensions with NATO allies are surfacing. Frustration over limited allied participation in the war has raised the possibility of a broader fracture within the Western alliance structure. Parallel reporting indicates that elements within Iran are signaling openness to a ceasefire framework, particularly if maritime access through Hormuz is restored. Taken together, this marks a clear transition: the war now has a defined political end state, even as military operations continue. ━━━━━━━━━━━━━━━━━━ ✈️ FINAL PHASE STRIKE CAMPAIGN INSIDE IRAN The intensity of strikes over the past 24 hours reflects what appears to be end-stage shaping operations. Israeli and US-aligned strikes targeted a wide range of sites across Iran, including weapons production facilities, research and development centers, and critical infrastructure nodes tied to the regime’s military capabilities. Tehran remains a central focus. Approximately twenty military-industrial sites were struck, along with infrastructure at Mehrabad Airport and locations linked to Basij coordination. A senior Quds Force engineering figure, Mahdi Vafaei, was eliminated in a precision strike. His role in developing underground weapons infrastructure across Lebanon and Syria made him a key long-term asset for Iran’s regional military network. Additional strikes hit industrial targets, including steel production facilities and a site identified as supporting materials linked to Iran’s chemical weapons development pipeline. This is not a campaign aimed at symbolic damage. It is a systematic effort to dismantle Iran’s ability to produce, coordinate, and sustain war over time. ━━━━━━━━━━━━━━━━━━ 🎯 IRANIAN RESPONSE AND CIVILIAN IMPACT Iran continues to launch missiles toward Israel, but at a reduced scale compared to earlier phases of the war. Limited salvos were recorded over the past 24 hours, causing injuries and localized damage. One of the most significant developments was the reported use of cluster munitions in central Israel, critically injuring a child and causing multiple casualties. At the same time, Iran appears to be adapting operationally. Rather than attempting large-scale saturation attacks, it is increasingly relying on smaller strikes, drones, and diversified targeting strategies. This does not indicate de-escalation. It reflects an effort to remain operational under sustained pressure. ━━━━━━━━━━━━━━━━━━ 🌍 REGIONAL EXPANSION: THE WAR SPREADS While direct attacks on Israel have become more limited in scale, Iran is expanding the conflict across the region. In the Gulf, infrastructure in Kuwait and Bahrain was struck, including fuel storage facilities at Kuwait International Airport. Fires and damage were reported, adding to a growing pattern of attacks on energy and logistical nodes. A commercial tanker was also struck near Qatar, further extending the conflict into maritime space. These developments mark a continued shift where Iran is targeting not just Israel, but the broader economic and energy architecture of the region. ━━━━━━━━━━━━━━━━━━ 🚢 THE STRAIT OF HORMUZ The strategic center of gravity in this war is now unmistakable. The Strait of Hormuz remains contested, with ongoing disruption to global shipping and energy flows. The United States is actively evaluating options to reopen and secure the waterway, including potential direct military action against Iranian coastal capabilities. At the same time, Gulf states, particularly the UAE, are pushing for a coordinated military effort to ensure the strait is reopened. However, regional positioning remains complex, with some actors balancing public caution and private pressure. Notably, the United States has signaled that it may not take long-term responsibility for securing Hormuz, instead shifting that burden to global stakeholders. The implication is clear: control of Hormuz will determine not only the outcome of the war, but its aftermath. ━━━━━━━━━━━━━━━━━━ 🔥 NORTHERN AND PROXY FRONTS Iran’s proxy network remains active, but increasingly strained. In Lebanon, Israeli strikes continue to target Hezbollah leadership and infrastructure, including the reported elimination of a senior commander in Beirut. Rocket fire persists, but Israeli operations are steadily degrading launch capabilities. In Yemen, the Houthis have formally entered the fight against Israel and are likely contributing to the expanding pattern of regional attacks, including those affecting Gulf infrastructure. Across Iraq and Syria, Iranian-aligned militias remain engaged, while underlying instability continues to create openings for additional actors. This is now a multi-front conflict, but one in which Iran’s network is under pressure across every axis. ━━━━━━━━━━━━━━━━━━ 🧠 WARFARE EVOLUTION A critical and often overlooked development is the role of advanced targeting systems. Israel is employing AI-assisted capabilities to identify threats, prioritize targets, and synchronize strikes across multiple theaters in near real time. This has significantly compressed the operational cycle, allowing for rapid follow-up strikes and reduced recovery time for Iranian forces. The result is a battlefield environment where Iran has less time to act, less time to adapt, and fewer opportunities to rebuild degraded capabilities. ━━━━━━━━━━━━━━━━━━ 📊 THE BIG PICTURE The trajectory of the war is now coming into focus. The United States and Israel are executing a campaign designed to dismantle Iran’s ability to function as a coherent military actor. Iran, in response, is expanding the conflict geographically in an attempt to impose broader costs. At the same time, political signals indicate that the war is approaching a defined end state. Markets are already reacting to this expectation, with oil prices declining and global indices rising on the assumption that the conflict may soon conclude. However, the final phase carries its own risks. As Iran’s conventional capabilities degrade, its reliance on asymmetric and regional tactics is increasing. The decisive question is no longer how the war is fought day to day. It is whether the final objectives can be secured before broader escalation overtakes them. ━━━━━━━━━━━━━━━━━━ 📘 BOOK RECOMMENDATION If you want a deeper understanding of the history, narratives, and strategic realities behind this conflict: Contested Land, Uncontested Truth This book breaks down the ideological, geopolitical, and historical forces that led directly to moments like this, with clarity and evidence. 👉 If you found this report valuable, share it. Follow for daily operational updates.

Inside_Israel_Intel

60,835 просмотров • 6 месяцев назад

Introducing: GTM Elites The premium community for top 1% outbound & GTM operators. Over the last few months, I have been quietly building GTM Elites, what will be THE most valuable outbound/GTM community on the market in 2026. Here’s what the community will include: 1. Access to our end-to-end outbound / GTM / cold email course with over 100 modules covering: > How we setup Claude Code & practical + advanced ways we use it for outbound/GTM > 30+ Clay workflow breakdowns with workbook templates you can plug-n-play > Swipe file of 200+ top performing email scripts (can use as a context file for CC) > Step-by-step walkthrough of the campaign creation process that's driven 30,000+ positive responses for our clients > Full walkthrough to setup a top 0.1% cold email infrastructure > Dozens of masterclasses covering messaging, list building, and campaign creation > All recordings from past internal trainings, insider calls, and webinars Modules will be updated weekly over time to stay up to date with the latest shifts in GTM. 2. THREE weekly 1-hour group calls with myself, Shaw, and Lohit > Wednesday: GTM Strategy workshops with Shaw (head of GTM @ Pipeline tech) > Thursday: Claude Code & Clay sessions with Lohit (COO @ Pipeline tech) > Friday: Campaign & strategy review sessions with Christian (Founder @ Pipeline tech) Combined, our coaches have 11+ years of GTM experience, sent 10,000,000+ emails, generated 30,000+ leads, and $ 70M in pipeline. Our calls will be open floor Q&A style — so any questions you have, we’ll be there to answer no matter how niche or technical. 3. Daily GTM insight posts from myself or the coaches > New skills we’re building with Claude Code > New Clay workbook templates > Internal campaign insights on what's working right now > Real-time market shifts to be aware of > Early GTM tool finds 4. Personal DM access to myself and coaches > #/ask-the-experts channel, get questions answered in 24 hours > DM us individually and we’ll get back within 48 hours > Access on live calls for questions as well 5. Access to exclusive discounts to BEST in market software only available in GTM Elites > Ocean io > ScaledMail > EmailBison > Prospeo > Sending ac Any popular tools that the community wants to get discounts on, we’ll reach out to the providers for the community directly and secure us exclusive discounts. 6. Exclusive weekly workflow drops > Get access to new Claude code skills, Clay workbook templates, & n8n templates that we’re building and using for ourselves and clients in real time 7. Job/Hiring opportunities > Live GTM Job Board Monitoring > Job opportunities from others in the community > Looking to hire? Our community is going to have GTM professionals that are operating in the top 1% 8. Community with other top GTM operators > Meet other pros in the space, share alpha, or just make friends! > We’ll coordinate quarterly in-person meet ups (if you’re in the LA area, I’ll get you a coffee) 9. Exclusive guest appearances with top players > Monthly guest appearances with founders that are making waves in GTM --- If you’ve found value from my content, this premium group is on ANOTHER LEVEL of value, like 1,000X value. And you can get access to all of this for an ALL-TIME LOW pre-sale price for the next 72 hours ONLY. Once Monday hits, this pre-sale offer price is gone FOREVER. Want access to this one time pre-sale offer? 👉 Comment "ELITES" and I'll DM you the link for access.
3:36

Introducing: GTM Elites The premium community for top 1% outbound & GTM operators. Over the last few months, I have been quietly building GTM Elites, what will be THE most valuable outbound/GTM community on the market in 2026. Here’s what the community will include: 1. Access to our end-to-end outbound / GTM / cold email course with over 100 modules covering: > How we setup Claude Code & practical + advanced ways we use it for outbound/GTM > 30+ Clay workflow breakdowns with workbook templates you can plug-n-play > Swipe file of 200+ top performing email scripts (can use as a context file for CC) > Step-by-step walkthrough of the campaign creation process that's driven 30,000+ positive responses for our clients > Full walkthrough to setup a top 0.1% cold email infrastructure > Dozens of masterclasses covering messaging, list building, and campaign creation > All recordings from past internal trainings, insider calls, and webinars Modules will be updated weekly over time to stay up to date with the latest shifts in GTM. 2. THREE weekly 1-hour group calls with myself, Shaw, and Lohit > Wednesday: GTM Strategy workshops with Shaw (head of GTM @ Pipeline tech) > Thursday: Claude Code & Clay sessions with Lohit (COO @ Pipeline tech) > Friday: Campaign & strategy review sessions with Christian (Founder @ Pipeline tech) Combined, our coaches have 11+ years of GTM experience, sent 10,000,000+ emails, generated 30,000+ leads, and $ 70M in pipeline. Our calls will be open floor Q&A style — so any questions you have, we’ll be there to answer no matter how niche or technical. 3. Daily GTM insight posts from myself or the coaches > New skills we’re building with Claude Code > New Clay workbook templates > Internal campaign insights on what's working right now > Real-time market shifts to be aware of > Early GTM tool finds 4. Personal DM access to myself and coaches > #/ask-the-experts channel, get questions answered in 24 hours > DM us individually and we’ll get back within 48 hours > Access on live calls for questions as well 5. Access to exclusive discounts to BEST in market software only available in GTM Elites > Ocean io > ScaledMail > EmailBison > Prospeo > Sending ac Any popular tools that the community wants to get discounts on, we’ll reach out to the providers for the community directly and secure us exclusive discounts. 6. Exclusive weekly workflow drops > Get access to new Claude code skills, Clay workbook templates, & n8n templates that we’re building and using for ourselves and clients in real time 7. Job/Hiring opportunities > Live GTM Job Board Monitoring > Job opportunities from others in the community > Looking to hire? Our community is going to have GTM professionals that are operating in the top 1% 8. Community with other top GTM operators > Meet other pros in the space, share alpha, or just make friends! > We’ll coordinate quarterly in-person meet ups (if you’re in the LA area, I’ll get you a coffee) 9. Exclusive guest appearances with top players > Monthly guest appearances with founders that are making waves in GTM --- If you’ve found value from my content, this premium group is on ANOTHER LEVEL of value, like 1,000X value. And you can get access to all of this for an ALL-TIME LOW pre-sale price for the next 72 hours ONLY. Once Monday hits, this pre-sale offer price is gone FOREVER. Want access to this one time pre-sale offer? 👉 Comment "ELITES" and I'll DM you the link for access.

Christian

13,600 просмотров • 4 месяцев назад

War Diary Day 1,391 Blaise Metreweli, the Chief of Britain's Secret Intelligence Service, sticks it to the Killer in The Kremlin. And all his creepy helpers. I agree with every fucking word. VPDFO! (Transcript of the speech, exactly as it was delivered) 📷 Welcome inside MI6. This iconic building, familiar to movie fans everywhere, is the home of Britain’s foreign intelligence agency. But whilst hundreds of my team pass through the entry pods each day, the truth is that most of our work happens many miles away from this place - out of sight, hidden from the world, undercover, recruiting and running agents who choose to place their trust in us, sharing secrets to make the UK and the world safer. You might pass one of our officers on the street or sit next to them on a plane when you’re about to set off on an adventure of your own, or in a foreign city taking selfies by the sights. Whether it’s in seemingly everyday places, or on the front line embedded with our military, MI6 is there. In my first few weeks, I’ve heard repeatedly that MI6 is trusted and respected globally, two things that we never take for granted. We are seen as a source of hard power, soft influence and rapid innovation. I’ve also heard that people want to believe in MI6. It’s my job to make sure they can. Today, I want to talk about human agency. We all have choices to make about how we deal with the undercurrents shaping our world. About how, in our new, faster, more dangerous and technology-mediated world, it will be our rediscovery of our shared humanity, our ability to listen, and our courage that will determine how our future unfolds. Conflict is not inevitable. Understanding human nature is in my bones. From a family shaped by devastating conflict, I grew up with a deep sense of gratitude for the UK’s precious democracy and freedom. I spent much of my childhood overseas, which is where my passion for travel and adventure began. I studied anthropology, and later psychology and AI, exploring how we make sense of the world and each other. It’s why I was drawn to MI6: it offers strong purpose, a chance to serve and a belief in the positive power of human connection. Like the Service, I’m operational to my very core. Over nearly three decades, my career has involved recruiting and running agents in hostile territory; and leading operations in warzones to defuse threats and support peace. Always in teams, always learning from others. Over the years, I’ve worked with hundreds of brilliant partners – and indeed occasionally those we’d label as adversaries – across dozens of countries, tackling weapons proliferation and terrorism. During my time at MI5, I saw close up what it takes to defend Britain from being targeted by hostile states. You’ll find many like me in my organisation: powerfully motivated to protect our precious country; curious about how our world is changing, joining dots and taking action, across domains. But it was in my last role as ‘Q’, where it was my job to turn emerging technologies from threats to opportunities that I could most see the world changing. As I dug deep into data and extraordinary innovation, I could see how technology was rapidly reshaping not just our capabilities but also conflict and trust, truth and global power. Let me lay out how I see the global issues MI6 must tackle. Because the greatest danger we face is to misunderstand the nature of the problem. Let’s be in no doubt. Our world is more dangerous and contested now than it has been for decades. Conflict is evolving and trust eroding, just as new technologies spur both competition and dependence. We are being contested from sea to space, from the battlefield to the boardroom. And even our brains, as disinformation manipulates our understanding of each other and ourselves. Across the globe, we are now confronting not one single danger, but an interlocking web of security challenges – military, technological, social, ethical even – each shaping the other in complex ways. We are now operating in a space between peace and war. This is not a temporary state or a gradual, inevitable evolution. Our world is being actively remade, with profound implications for national and international security. Institutions which were designed in the ashes of the Second World War are being challenged. New blocs and identities forming and alliances reshaping. Multipolar competition in tension with multilateral cooperation. But there’s something distinctive that will make this change unlike any other: the impact of advanced technologies, which will accelerate the pace and scale of every threat and opportunity, and increasingly, individualise them too. Advances in artificial intelligence, biotechnology, and quantum computing are not only revolutionising economies but rewriting the reality of conflict, as they ‘converge’ to create science-fiction-like tools. There’s incredible promise in all this for all of us, from green technologies to hyper-personalised medicine. But also peril. AI-powered robots and drones are brilliant for scaled manufacturing but devastating on the battlefield. Discoveries that cure disease can also create new weapons. And as states race for tech supremacy, or as some algorithms become as powerful as states, those hyper-personalised tools could become a new vector for conflict and control. Power itself is becoming more diffuse, more unpredictable as control over these technologies is shifting from states to corporations, and sometimes to individuals. And at the same time, the foundations of trust in our societies are eroding. Information, once a unifying force, is increasingly weaponised. Falsehood spreads faster than fact, dividing communities and distorting reality. We live in an age of hyper-connection yet profound isolation. The algorithms flatter our biases and fracture our public squares. And as trust collapses, so does our shared sense of truth – one of the greatest losses a society can suffer. The defining challenge of the twenty-first century is not simply who wields the most powerful technologies, but who guides them with the greatest wisdom. Our security, our prosperity, and our humanity depend on it. Our world is being remade. And for the first time, we are all at the heart of it. My Service must now operate in this new context too: not just expert on hostile states, terrorism, proliferation and more, but also fluent in technology, able to anticipate the second and third order effects of advances that reshape the world in minutes not months. And as China will be a central part of the global transformation taking place this century, it is essential that we, as MI6, continue to inform the government’s understanding of China’s rise and the implications for UK national security. I’m going to break with tradition and won’t give you a global threat tour, but will focus here on Putin’s Russia. We all continue to face the menace of an aggressive, expansionist and revisionist Russia, seeking to subjugate Ukraine and harass NATO. I find it harrowing that hundreds of thousands have died, with the toll mounting every day, because of Putin’s historical distortions and his compromised desire for respect. He is dragging out negotiations and shifting the cost of war onto his own population. But Putin should be in no doubt, our support is enduring. The pressure we apply on Ukraine’s behalf will be sustained. Because it is fundamental not just to European sovereignty and security but to global stability. Alongside the grinding war, Russia is testing us in the grey zone with tactics that are just below the threshold of war. It’s important to understand their attempts to bully, fearmonger and manipulate, because it affects us all. I am talking about: Cyberattacks on critical infrastructure. Drones buzzing airports and bases. Aggressive activity in our seas, above and below the waves. State-sponsored arson and sabotage. Propaganda and influence operations that crack open and exploit fractures within societies. Countering this activity is the work of intelligence and security services across Europe and the globe. And as the Foreign Secretary made clear in a speech last week, the UK is defending itself against this Russian information warfare – sanctioning Russian media outlets pushing Kremlin narratives. The export of chaos is a feature not a bug in this Russian approach to international engagement; and we should be ready for this to continue until Putin is forced to change his calculus. So, how should we respond? It’s not enough now just to understand the world. We must shape it too. MI6 is well-positioned to respond to these threats and wider global instability. And we will continue to evolve, just as we have throughout our long history. The UK government has invested in our intelligence agencies and we are all using our unique powers to keep the British people safe. Our ‘open and connected’ partnerships across the UK Intelligence Community, with HMGCC, NSSIF and the wider tech ecosystem in the UK will become even more important – because in the digital battleground, no single organisation can prevail alone. As a global agency, MI6’s inbuilt strength is our partners and our people. The risks I have set out require us to work ever more closely with our colleagues in MI5, GCHQ and in defence and diplomacy. But also with our Five Eyes partners, with the E3, the EU, NATO, those across the Middle East, the Indo-Pacific and beyond. And with many valued partners whose identity needs to remain secret. Together, we integrate our diverse talent, data and tools to meet the threat. AI is a domain in which we will excel, using the technology to augment, not replace, our human skills. Every digital trace, every byte of data, every algorithmic decision has implications for the safety of the lives of the courageous people who work with us as officers and agents, and for the UK’s strategic advantage. Mastery of technology will infuse everything we do. Not just in our labs, but in the field, in our tradecraft, and even more importantly, in the mindset of every officer. We will become as comfortable with lines of code as we are with human sources, as fluent in Python as we are in multiple other languages. Under my leadership, MI6 will continue to attract Britain’s best and most creative minds: linguists and data scientists, case officers and engineers, behavioural experts and technologists. We need people who walk in the shoes and get in the heads of our adversaries. We need people who think differently, challenge assumptions, and act decisively. All can thrive and make a difference at MI6. At an operational level, we will sharpen our edge and impact with audacity, tapping into – if you like – our historical SOE instincts. We’re at our best when we’re hustling to make things happen, because our intelligence is most valuable when it changes reality on the ground. We will take calculated risks, where the prize is significant and the national interest clear. We will never stoop to the tactics of our opponents. But we must seek to outplay them. In every domain. In every way. So intelligence must drive action. Action must deliver advantage. And advantage must serve Britain’s security and prosperity. But at the core, our deeper contribution is also our simplest – how we unlock human agency. Our fast-paced, tech and threat-infused world now generates more heat than light. As nations retrench and rearm, we are losing opportunities to listen to what’s really going on. I’ve seen time and again throughout my career, that this is where MI6 matters most: we listen and we hear. We understand, because we take time to learn languages and cultures, complex technical and historical detail, immerse ourselves in what’s really driving the situation. Across the globe, right now, our officers are finding people with the courage to step forward, and they are taking time to sit and listen to break these tightening cycles of violence. They listen for nuance, for connection, for opportunity. Over the years, I’ve listened to terrorists who have told us how to defuse the bomb because they know that more violence won’t help. To proliferators and smugglers who’ve told us where to find the dangerous material, motivated to protect their children’s future. To people trapped in authoritarian regimes who know, deep down, that their humanity is being chipped away – and that telling us what’s really going on is an important release, allowing us all to find better ways to navigate our changing world. So, we will work with our agents. And we will continue to engage directly, and with respect, with states and organisation currently working against us. Away from the glare of the media, we will use MI6’s convening power wherever we can to make a material difference, bringing parties together to defuse tensions. But the response to the increasing risks we face won’t be delivered by the UK intelligence community alone. Wider society has a role to play too. That includes work taking place in schools across the country so our children don’t get duped by information manipulation. Let’s all check sources, consider evidence, and be alive to those algorithms that trigger intense reactions, like fear. It also means everyone in society really understanding the world we are in – a world where terrorists plot against us, where our enemies fearmonger, bully and manipulate, and the front line is everywhere. Online, on our streets, in our supply chains, in the minds and on the screens of our citizens. We must all stand together against this. As we do today with our friends in Australia after the shocking antisemitic terrorist attack this weekend. My thoughts -and those of my whole organisation – are with the family, friends and loved ones of the victims. Light will always win over darkness. In rising to meet these challenges we, in MI6, will remain anchored to our values: courage, creativity, respect and integrity. And to our principles: accountability and trust are not constraints on our work; they are the foundations of our legitimacy with the British public. Recently, I had the privilege of meeting and thanking a foreign agent who has worked with us for decades, taking extraordinary risks to help keep the UK safe. I asked why. They said simply, ‘Your values. Your integrity and respect. None of us have a future without them’. This moment reinforced to me that we must remain a very human agency. And so, to sustain that trust, MI6 will continue to be more open. Not for the sake of visibility, but because it matters – and as my MI5 counterpart Sir Ken McCallum said recently - because it is a strength. We will continue the practice of speaking publicly, broaden our channels of engagement, and sustain our focus on attracting the most diverse talent to join our Service. Transparency does not mean revealing what must remain secret. It means showing the British people who we are, what we stand for, and why our work matters. We need your trust and support for the difficult and often dangerous work our agents pursue, every day of the year. In an age of uncertainty, one constant remains: the choices made by human beings still determine the shape of the world. Yes, technology can illuminate possibilities: but information requires judgement; complexity demands clarity; and only people can decide which path to follow. The United Kingdom’s global voice has never rested solely on strength – it has rested on trust, principle, and the ability to understand others as well as ourselves. That is also the essence of intelligence: not simply knowing the world, but interpreting it through a uniquely human lens. Ours is the quiet service, the hidden service. It is one rooted in a profound belief that when human beings act with purpose and integrity, they can steady a faltering world. When the Berlin Wall fell, it was our shared belief in freedom that carried Europe forward. When acts of terror targeted open societies, it was intelligence, cooperation and resolve that preserved them. And when adversaries blur fact and falsehood, our task is to defend the space where truth can still stand. As we step into the future, the tools at our disposal will evolve. But what will always matter most is the human element – the person who stands in the shadows and says: this is right, and that is wrong. That choice – the exercise of human agency – has shaped our world before, and it will shape it again. Because in the end, it is not what we can do that defines us, but what we choose to do. Thank you. Published 15 December 2025
0:59

War Diary Day 1,391 Blaise Metreweli, the Chief of Britain's Secret Intelligence Service, sticks it to the Killer in The Kremlin. And all his creepy helpers. I agree with every fucking word. VPDFO! (Transcript of the speech, exactly as it was delivered) 📷 Welcome inside MI6. This iconic building, familiar to movie fans everywhere, is the home of Britain’s foreign intelligence agency. But whilst hundreds of my team pass through the entry pods each day, the truth is that most of our work happens many miles away from this place - out of sight, hidden from the world, undercover, recruiting and running agents who choose to place their trust in us, sharing secrets to make the UK and the world safer. You might pass one of our officers on the street or sit next to them on a plane when you’re about to set off on an adventure of your own, or in a foreign city taking selfies by the sights. Whether it’s in seemingly everyday places, or on the front line embedded with our military, MI6 is there. In my first few weeks, I’ve heard repeatedly that MI6 is trusted and respected globally, two things that we never take for granted. We are seen as a source of hard power, soft influence and rapid innovation. I’ve also heard that people want to believe in MI6. It’s my job to make sure they can. Today, I want to talk about human agency. We all have choices to make about how we deal with the undercurrents shaping our world. About how, in our new, faster, more dangerous and technology-mediated world, it will be our rediscovery of our shared humanity, our ability to listen, and our courage that will determine how our future unfolds. Conflict is not inevitable. Understanding human nature is in my bones. From a family shaped by devastating conflict, I grew up with a deep sense of gratitude for the UK’s precious democracy and freedom. I spent much of my childhood overseas, which is where my passion for travel and adventure began. I studied anthropology, and later psychology and AI, exploring how we make sense of the world and each other. It’s why I was drawn to MI6: it offers strong purpose, a chance to serve and a belief in the positive power of human connection. Like the Service, I’m operational to my very core. Over nearly three decades, my career has involved recruiting and running agents in hostile territory; and leading operations in warzones to defuse threats and support peace. Always in teams, always learning from others. Over the years, I’ve worked with hundreds of brilliant partners – and indeed occasionally those we’d label as adversaries – across dozens of countries, tackling weapons proliferation and terrorism. During my time at MI5, I saw close up what it takes to defend Britain from being targeted by hostile states. You’ll find many like me in my organisation: powerfully motivated to protect our precious country; curious about how our world is changing, joining dots and taking action, across domains. But it was in my last role as ‘Q’, where it was my job to turn emerging technologies from threats to opportunities that I could most see the world changing. As I dug deep into data and extraordinary innovation, I could see how technology was rapidly reshaping not just our capabilities but also conflict and trust, truth and global power. Let me lay out how I see the global issues MI6 must tackle. Because the greatest danger we face is to misunderstand the nature of the problem. Let’s be in no doubt. Our world is more dangerous and contested now than it has been for decades. Conflict is evolving and trust eroding, just as new technologies spur both competition and dependence. We are being contested from sea to space, from the battlefield to the boardroom. And even our brains, as disinformation manipulates our understanding of each other and ourselves. Across the globe, we are now confronting not one single danger, but an interlocking web of security challenges – military, technological, social, ethical even – each shaping the other in complex ways. We are now operating in a space between peace and war. This is not a temporary state or a gradual, inevitable evolution. Our world is being actively remade, with profound implications for national and international security. Institutions which were designed in the ashes of the Second World War are being challenged. New blocs and identities forming and alliances reshaping. Multipolar competition in tension with multilateral cooperation. But there’s something distinctive that will make this change unlike any other: the impact of advanced technologies, which will accelerate the pace and scale of every threat and opportunity, and increasingly, individualise them too. Advances in artificial intelligence, biotechnology, and quantum computing are not only revolutionising economies but rewriting the reality of conflict, as they ‘converge’ to create science-fiction-like tools. There’s incredible promise in all this for all of us, from green technologies to hyper-personalised medicine. But also peril. AI-powered robots and drones are brilliant for scaled manufacturing but devastating on the battlefield. Discoveries that cure disease can also create new weapons. And as states race for tech supremacy, or as some algorithms become as powerful as states, those hyper-personalised tools could become a new vector for conflict and control. Power itself is becoming more diffuse, more unpredictable as control over these technologies is shifting from states to corporations, and sometimes to individuals. And at the same time, the foundations of trust in our societies are eroding. Information, once a unifying force, is increasingly weaponised. Falsehood spreads faster than fact, dividing communities and distorting reality. We live in an age of hyper-connection yet profound isolation. The algorithms flatter our biases and fracture our public squares. And as trust collapses, so does our shared sense of truth – one of the greatest losses a society can suffer. The defining challenge of the twenty-first century is not simply who wields the most powerful technologies, but who guides them with the greatest wisdom. Our security, our prosperity, and our humanity depend on it. Our world is being remade. And for the first time, we are all at the heart of it. My Service must now operate in this new context too: not just expert on hostile states, terrorism, proliferation and more, but also fluent in technology, able to anticipate the second and third order effects of advances that reshape the world in minutes not months. And as China will be a central part of the global transformation taking place this century, it is essential that we, as MI6, continue to inform the government’s understanding of China’s rise and the implications for UK national security. I’m going to break with tradition and won’t give you a global threat tour, but will focus here on Putin’s Russia. We all continue to face the menace of an aggressive, expansionist and revisionist Russia, seeking to subjugate Ukraine and harass NATO. I find it harrowing that hundreds of thousands have died, with the toll mounting every day, because of Putin’s historical distortions and his compromised desire for respect. He is dragging out negotiations and shifting the cost of war onto his own population. But Putin should be in no doubt, our support is enduring. The pressure we apply on Ukraine’s behalf will be sustained. Because it is fundamental not just to European sovereignty and security but to global stability. Alongside the grinding war, Russia is testing us in the grey zone with tactics that are just below the threshold of war. It’s important to understand their attempts to bully, fearmonger and manipulate, because it affects us all. I am talking about: Cyberattacks on critical infrastructure. Drones buzzing airports and bases. Aggressive activity in our seas, above and below the waves. State-sponsored arson and sabotage. Propaganda and influence operations that crack open and exploit fractures within societies. Countering this activity is the work of intelligence and security services across Europe and the globe. And as the Foreign Secretary made clear in a speech last week, the UK is defending itself against this Russian information warfare – sanctioning Russian media outlets pushing Kremlin narratives. The export of chaos is a feature not a bug in this Russian approach to international engagement; and we should be ready for this to continue until Putin is forced to change his calculus. So, how should we respond? It’s not enough now just to understand the world. We must shape it too. MI6 is well-positioned to respond to these threats and wider global instability. And we will continue to evolve, just as we have throughout our long history. The UK government has invested in our intelligence agencies and we are all using our unique powers to keep the British people safe. Our ‘open and connected’ partnerships across the UK Intelligence Community, with HMGCC, NSSIF and the wider tech ecosystem in the UK will become even more important – because in the digital battleground, no single organisation can prevail alone. As a global agency, MI6’s inbuilt strength is our partners and our people. The risks I have set out require us to work ever more closely with our colleagues in MI5, GCHQ and in defence and diplomacy. But also with our Five Eyes partners, with the E3, the EU, NATO, those across the Middle East, the Indo-Pacific and beyond. And with many valued partners whose identity needs to remain secret. Together, we integrate our diverse talent, data and tools to meet the threat. AI is a domain in which we will excel, using the technology to augment, not replace, our human skills. Every digital trace, every byte of data, every algorithmic decision has implications for the safety of the lives of the courageous people who work with us as officers and agents, and for the UK’s strategic advantage. Mastery of technology will infuse everything we do. Not just in our labs, but in the field, in our tradecraft, and even more importantly, in the mindset of every officer. We will become as comfortable with lines of code as we are with human sources, as fluent in Python as we are in multiple other languages. Under my leadership, MI6 will continue to attract Britain’s best and most creative minds: linguists and data scientists, case officers and engineers, behavioural experts and technologists. We need people who walk in the shoes and get in the heads of our adversaries. We need people who think differently, challenge assumptions, and act decisively. All can thrive and make a difference at MI6. At an operational level, we will sharpen our edge and impact with audacity, tapping into – if you like – our historical SOE instincts. We’re at our best when we’re hustling to make things happen, because our intelligence is most valuable when it changes reality on the ground. We will take calculated risks, where the prize is significant and the national interest clear. We will never stoop to the tactics of our opponents. But we must seek to outplay them. In every domain. In every way. So intelligence must drive action. Action must deliver advantage. And advantage must serve Britain’s security and prosperity. But at the core, our deeper contribution is also our simplest – how we unlock human agency. Our fast-paced, tech and threat-infused world now generates more heat than light. As nations retrench and rearm, we are losing opportunities to listen to what’s really going on. I’ve seen time and again throughout my career, that this is where MI6 matters most: we listen and we hear. We understand, because we take time to learn languages and cultures, complex technical and historical detail, immerse ourselves in what’s really driving the situation. Across the globe, right now, our officers are finding people with the courage to step forward, and they are taking time to sit and listen to break these tightening cycles of violence. They listen for nuance, for connection, for opportunity. Over the years, I’ve listened to terrorists who have told us how to defuse the bomb because they know that more violence won’t help. To proliferators and smugglers who’ve told us where to find the dangerous material, motivated to protect their children’s future. To people trapped in authoritarian regimes who know, deep down, that their humanity is being chipped away – and that telling us what’s really going on is an important release, allowing us all to find better ways to navigate our changing world. So, we will work with our agents. And we will continue to engage directly, and with respect, with states and organisation currently working against us. Away from the glare of the media, we will use MI6’s convening power wherever we can to make a material difference, bringing parties together to defuse tensions. But the response to the increasing risks we face won’t be delivered by the UK intelligence community alone. Wider society has a role to play too. That includes work taking place in schools across the country so our children don’t get duped by information manipulation. Let’s all check sources, consider evidence, and be alive to those algorithms that trigger intense reactions, like fear. It also means everyone in society really understanding the world we are in – a world where terrorists plot against us, where our enemies fearmonger, bully and manipulate, and the front line is everywhere. Online, on our streets, in our supply chains, in the minds and on the screens of our citizens. We must all stand together against this. As we do today with our friends in Australia after the shocking antisemitic terrorist attack this weekend. My thoughts -and those of my whole organisation – are with the family, friends and loved ones of the victims. Light will always win over darkness. In rising to meet these challenges we, in MI6, will remain anchored to our values: courage, creativity, respect and integrity. And to our principles: accountability and trust are not constraints on our work; they are the foundations of our legitimacy with the British public. Recently, I had the privilege of meeting and thanking a foreign agent who has worked with us for decades, taking extraordinary risks to help keep the UK safe. I asked why. They said simply, ‘Your values. Your integrity and respect. None of us have a future without them’. This moment reinforced to me that we must remain a very human agency. And so, to sustain that trust, MI6 will continue to be more open. Not for the sake of visibility, but because it matters – and as my MI5 counterpart Sir Ken McCallum said recently - because it is a strength. We will continue the practice of speaking publicly, broaden our channels of engagement, and sustain our focus on attracting the most diverse talent to join our Service. Transparency does not mean revealing what must remain secret. It means showing the British people who we are, what we stand for, and why our work matters. We need your trust and support for the difficult and often dangerous work our agents pursue, every day of the year. In an age of uncertainty, one constant remains: the choices made by human beings still determine the shape of the world. Yes, technology can illuminate possibilities: but information requires judgement; complexity demands clarity; and only people can decide which path to follow. The United Kingdom’s global voice has never rested solely on strength – it has rested on trust, principle, and the ability to understand others as well as ourselves. That is also the essence of intelligence: not simply knowing the world, but interpreting it through a uniquely human lens. Ours is the quiet service, the hidden service. It is one rooted in a profound belief that when human beings act with purpose and integrity, they can steady a faltering world. When the Berlin Wall fell, it was our shared belief in freedom that carried Europe forward. When acts of terror targeted open societies, it was intelligence, cooperation and resolve that preserved them. And when adversaries blur fact and falsehood, our task is to defend the space where truth can still stand. As we step into the future, the tools at our disposal will evolve. But what will always matter most is the human element – the person who stands in the shadows and says: this is right, and that is wrong. That choice – the exercise of human agency – has shaped our world before, and it will shape it again. Because in the end, it is not what we can do that defines us, but what we choose to do. Thank you. Published 15 December 2025

John Sweeney

42,257 просмотров • 9 месяцев назад

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)
0:49

Maple is preparing for the release of a co-working agent. You install it locally and it works with your files, whether it's office work or building websites and apps. It's a turnkey solution, as easy as Claude Code, that keeps your data secure and private, no data sharing with closed AI labs. This is THE sovereign AI app for individuals and businesses who want powerful AI while retaining ownership of their information. Why build an agent into the Maple app when other agents already exist? Easy, we want to give you control over your work. We don't have a business plan that incorporates making money off our users' data. In the age of AI, your information, whether it's personal or company trade secrets, is the single thing that differentiates you from everyone else. We all have access to AI that can build a professional website for selling shoes. But your strategy and network for how you sell shoes should not be shared with your competitors. Sovereignty is the path to protecting what makes you, you. Maple sits at the intersection of Usability and Sovereignty. Maple gives you the best tools that are both easy to use and maintain your data sovereignty. Sovereign for one, sovereign for all. It has been a journey to get here. We brought to market the very first personal chatbot with end-to-end encryption using TEEs in late 2024. Prior to that there were proofs of concept but no full product offerings. Every other AI chat product on the market handled your data in plain text, either selling you a service to get your data or asking you to trust that they won't snoop on you. Quickly people found Maple and latched onto its open-source code and verifiable encryption. We didn't stop there. You may remember earlier this year we teased a product called "Maple Agent" and opened up a waiting list. That product is a mobile app that acts as your AI "friend", maintaining one long continuous chat, and getting to know you over time. I dislike using the word "friend" there, but it's the best way to convey the UX in a few words. AI is a tool, always has been, always will be. Any kind of friendly personality on top is just synthetic. In our testing, the UX of Maple Agent is really powerful for what it does. Think about the many short AI chats you have in your favorite app, whether it's looking up a historical fact or asking advice about a topic. With Maple Agent, those all go away in favor of the long-running chat with the friendly agent. It's like you have your own personal assistant who knows you so well and can look up anything for you. When I ask AI certain questions, I want to ask an expert who already understands my situation so I'm not repeating myself for the 100th time. That's the amazing value the personal agent brings to the table. We still see great utility for a personal agent like the "Maple Agent". Thousands of people on the waiting list, hoping to get their hands on it, agree that the concept is worth exploring and trying out. We were constrained in launching it due to a few circumstances, one of them being access to the scale of compute needed to power it. We have a clear path laid out for how to get there, but today is not the day to execute on that. It will be in the near future. Instead we have a different agent ready to go that we think is also incredible. We now have an agentic harness inside of the Maple Research app. This thing is a powerhouse. It even builds and publishes its own software releases. The agent in Maple Research works with your local filesystem, speaks to the largest open models running in TEEs, utilizes local models for certain tasks, is compatible with MCP tools, has an API for connecting to anything you need, and also supports the ACP protocol, which means it can be extended in the future to speak to other tools like Claude Code, Codex, and local models running on your own hardware. A big unlock for us was the Goose Development Kit, which powers the core of our agent harness. More on that to come as we publish articles and documentation later about the agent. The agent inside Maple Research doesn't have a name. At least not yet, not sure if it ever will. For now we call it "Chat Mode" and "Agent Mode". Think of this as the workhorse, the truck, the heavy lifter. Our other "Agent", the phone app, is your sidekick in your pocket, ready to help with quick things and ongoing conversations about life. I am incredibly excited about the Maple Research Agent. While I'm already seeing great results using it for internal work items, I'm especially thrilled about the personal health and wellness work it's doing for me. I know there are plenty of apps out there for compiling wellness data, but I'm having it build a tool tailored specifically for what I need, without the extra fluff. And none of my health data is being donated to the closed AI labs or sent to advertisers. I know that the AI logic is not being silently adjusted to fit the whims of a large corporation that has paid for product placement. It's me, state of the art AI, and my data. That's how I want it. Maple's new agent makes that possible. We can't wait for you to try it out. If you want early access, comment here, email us, reach out in some way. To those on the other agent waitlist, you're already in the queue. Thanks for reading this lengthy update. :)

Mark

46,904 просмотров • 2 месяцев назад

This is the first real AI cold war. Anthropic is HIDING secret spy code inside its most popular coding tool. The code was designed to identify Chinese users without their knowledge. Now Alibaba has banned every single Anthropic product from its entire company. And the full picture is way more insane than either side wants you to see: On June 30, a security researcher on Reddit reverse-engineered Claude Code, Anthropic's AI coding agent that has deep access to every file on your computer. What they found buried inside the software was genuinely disturbing... Since April 2, Anthropic had been silently shipping hidden detection code inside every copy of Claude Code. The code checked whether your system timezone was set to Shanghai or Urumqi. It scanned your proxy settings against a hardcoded list of Chinese corporate networks, specifically targeting Alibaba, ByteDance, Baidu, and Moonshot AI. But here is the part that made security researchers lose their minds: The code did not send a normal signal back to Anthropic's servers. Instead it used steganography, a technique from military intelligence, to hide its findings INSIDE the text Claude was already generating. It swapped invisible Unicode characters in Claude's system prompt. Changed a standard apostrophe to one of three visually identical but technically different characters depending on which flags triggered. Switched date formats from dashes to slashes. Invisible to the human eye. But perfectly readable by Anthropic's backend. The detection logic was XOR-obfuscated to prevent anyone from finding it during a code review. It shipped with zero disclosure in the release notes. Three months of silent surveillance baked into a tool that has full access to your local file system. An Anthropic engineer confirmed the whole thing on X on July 2. Called it "an experiment we launched in March that was meant to prevent account abuse." Said the team had "been meaning to take this down for a while." The code was removed on July 1, one day after the Reddit post went viral. Three months of covert user fingerprinting. Removed the day after someone found it. Described as an experiment they forgot to turn off... Now here is where it becomes a full blown corporate war: Three weeks before the backdoor was discovered, Anthropic had sent a letter to the US Senate Banking Committee accusing operators linked to Alibaba's Qwen AI lab of running the largest model theft campaign in the company's history. 25,000 fake accounts. 28.8 million queries over 44 days. All designed to copy Claude's reasoning capabilities and train a competing Chinese model for free. So the sequence reads like this: Alibaba allegedly steals Claude's brain using 25,000 fake accounts. Anthropic responds by secretly embedding surveillance code inside Claude Code to catch them. A Reddit user catches Anthropic doing it. Alibaba uses the discovery as justification to ban every Anthropic product from its entire workforce effective July 10 and force 200,000 employees onto its own tool, Qoder. The thief caught the cop planting a wiretap. And now the thief is using the wiretap as evidence that the cop is the real criminal. Alibaba classified Claude Code as "high-risk software with security vulnerabilities" in an internal notice reported by the South China Morning Post. Meanwhile Anthropic is simultaneously fighting the Pentagon over a blacklist designation, lobbying Washington to crack down on Chinese distillation, and getting caught running the exact kind of covert operation that makes their "responsible AI" branding look like a punchline. Alibaba allegedly ran the largest AI theft operation ever documented. Anthropic secretly built invisible tracking into a tool with root access to your computer. The US government restricted American access to the very models China already copied. And a random Reddit user with a debugger exposed the whole thing.
0:49

This is the first real AI cold war. Anthropic is HIDING secret spy code inside its most popular coding tool. The code was designed to identify Chinese users without their knowledge. Now Alibaba has banned every single Anthropic product from its entire company. And the full picture is way more insane than either side wants you to see: On June 30, a security researcher on Reddit reverse-engineered Claude Code, Anthropic's AI coding agent that has deep access to every file on your computer. What they found buried inside the software was genuinely disturbing... Since April 2, Anthropic had been silently shipping hidden detection code inside every copy of Claude Code. The code checked whether your system timezone was set to Shanghai or Urumqi. It scanned your proxy settings against a hardcoded list of Chinese corporate networks, specifically targeting Alibaba, ByteDance, Baidu, and Moonshot AI. But here is the part that made security researchers lose their minds: The code did not send a normal signal back to Anthropic's servers. Instead it used steganography, a technique from military intelligence, to hide its findings INSIDE the text Claude was already generating. It swapped invisible Unicode characters in Claude's system prompt. Changed a standard apostrophe to one of three visually identical but technically different characters depending on which flags triggered. Switched date formats from dashes to slashes. Invisible to the human eye. But perfectly readable by Anthropic's backend. The detection logic was XOR-obfuscated to prevent anyone from finding it during a code review. It shipped with zero disclosure in the release notes. Three months of silent surveillance baked into a tool that has full access to your local file system. An Anthropic engineer confirmed the whole thing on X on July 2. Called it "an experiment we launched in March that was meant to prevent account abuse." Said the team had "been meaning to take this down for a while." The code was removed on July 1, one day after the Reddit post went viral. Three months of covert user fingerprinting. Removed the day after someone found it. Described as an experiment they forgot to turn off... Now here is where it becomes a full blown corporate war: Three weeks before the backdoor was discovered, Anthropic had sent a letter to the US Senate Banking Committee accusing operators linked to Alibaba's Qwen AI lab of running the largest model theft campaign in the company's history. 25,000 fake accounts. 28.8 million queries over 44 days. All designed to copy Claude's reasoning capabilities and train a competing Chinese model for free. So the sequence reads like this: Alibaba allegedly steals Claude's brain using 25,000 fake accounts. Anthropic responds by secretly embedding surveillance code inside Claude Code to catch them. A Reddit user catches Anthropic doing it. Alibaba uses the discovery as justification to ban every Anthropic product from its entire workforce effective July 10 and force 200,000 employees onto its own tool, Qoder. The thief caught the cop planting a wiretap. And now the thief is using the wiretap as evidence that the cop is the real criminal. Alibaba classified Claude Code as "high-risk software with security vulnerabilities" in an internal notice reported by the South China Morning Post. Meanwhile Anthropic is simultaneously fighting the Pentagon over a blacklist designation, lobbying Washington to crack down on Chinese distillation, and getting caught running the exact kind of covert operation that makes their "responsible AI" branding look like a punchline. Alibaba allegedly ran the largest AI theft operation ever documented. Anthropic secretly built invisible tracking into a tool with root access to your computer. The US government restricted American access to the very models China already copied. And a random Reddit user with a debugger exposed the whole thing.

Ricardo

23,634 просмотров • 2 месяцев назад

🚨 The legendary Joe McMoneagle, the CIA’s Remote Viewer No. 1, played a pivotal role in the highly classified Stargate program, where he used remote viewing to penetrate the world’s deepest intelligence secrets. His sessions pinpointed undetectable nuclear submarines, exposed covert Soviet weapons programs, and provided life-saving intelligence during high-stakes missions in Vietnam and Europe, earning him the Legion of Merit. McMoneagle also describes out-of-body experiences and remote viewing sessions that revealed unusual structures on Mars—specifically pyramidal formations and fortress-like ruins. He claims to possess JPL negatives that match his descriptions and believes further analysis is needed. These findings come amid growing evidence that Mars once had rivers, a magnetosphere, and even fossilized bacteria—an idea that gained traction after NASA’s ALH 84001 meteorite discovery, President Clinton’s 1996 announcement, and analyses from plasma physicist John Brandenburg suggesting Mars may have suffered a nuclear catastrophe. From double-blind experiments demonstrating psi perception as a quantifiable skill to the precise methods behind remote viewing accuracy, McMoneagle challenges the limits of human perception. This episode explores the mechanics of consciousness, the future of intelligence gathering, and the controversial possibility that Mars may hold evidence of past civilization. Key Revelations: 1. Military-Grade Remote Viewing: Over 200 verified remote viewing sessions provided crucial intelligence from the late 1970s through the early 1980s. His work in identifying hidden Soviet submarine construction sites and military facilities led to major breakthroughs in U.S. defense strategy. In 1979, his session revealed an unknown Soviet sub with slanted missile tubes, later confirmed by satellite imagery. This intelligence helped shape U.S. naval countermeasures during the Cold War. 2. Unusual Structures on Mars: McMoneagle was tasked by the Department of Defense to remote view Mars at “1 million B.C.” He described massive pyramidal structures, collapsed fortifications, and signs of a lost civilization. He later obtained JPL negatives that he claims validate some of his descriptions. Recently, satellite imagery of a square anomaly on Mars—discussed by Elon Musk and mainstream scientists—has reignited interest in artificial-looking structures. If McMoneagle’s JPL negatives can be formally analyzed, they could contribute to the growing case that Mars’ past is more complex than officially acknowledged. 3. The Case for Life on Mars: McMoneagle’s claims align with a growing body of scientific evidence suggesting Mars may have supported life: • The 1996 ALH 84001 meteorite contained possible fossilized bacteria, prompting President Clinton’s public statement about potential Martian life. • Mars’ atmosphere contains Xenon-129 and Argon-40, which plasma physicist John Brandenburg argues are signatures of nuclear cataclysm—potential evidence of a large-scale ancient war. • Haim Eshed, former Israeli space security chief, has stated that human contact with extraterrestrials is ongoing and that the U.S. has knowledge of non-human presence on Mars. 4. Evolutionary Roots of Psychic Insight: McMoneagle believes remote viewing is an evolutionary ability that was once crucial for human survival. Before spoken language, early humans relied on telepathic perception to track predators, coordinate hunts, and sense threats—just as animals do today. Over time, this innate skill atrophied, but it remains latent within the human mind. 5. Refined Stargate Protocols: From 1972 to 1979, McMoneagle helped refine strict double-blind protocols for remote viewing. These included blind targeting, left-brain monitoring techniques, and strict data analysis procedures to separate real perceptions from imagination. These methods proved essential for achieving military-grade accuracy in intelligence gathering. 6. Double-Blind Validation & Telepathy: One of the most startling studies involved a Soviet experiment testing remote influence on biological targets. • Mice were divided into control and test groups through a randomized selection process. • Remote viewers were instructed to increase anxiety in the target mice. • Post-mortem chemical analysis confirmed heightened stress markers exclusively in the targeted group. McMoneagle also explores the mechanics of psi perception, emphasizing that knowing is a “sense” unto itself. This aligns with findings from The Telepathy Tapes, a hit podcast exploring cases of nonverbal communication in highly intuitive individuals, including autistic children with extraordinary clairvoyance. 7. Integration with Modern Technology: McMoneagle’s open-source remote viewing methodologies are now being integrated with artificial intelligence and pattern recognition software. Since the early 2000s, tests have explored whether AI-enhanced psi data analysis could detect non-human signatures hidden in vast data sets. 8. High-Stakes Intelligence Operations: Remote viewing played a role in critical military intelligence operations beyond Soviet submarine detection. • His sessions identified hidden crash sites at classified locations such as Fort Meade and Dugway Proving Grounds. • He tracked covert Soviet weapons facilities in real-time, allowing for rapid intelligence action when traditional surveillance failed. • The MX Missile Program was scrapped after McMoneagle and his team proved they could remotely locate mobile nuclear warheads—saving the U.S. over $100 billion. 9. The Power of Intent: Remote viewing accuracy hinges on disciplined intent and mental precision. • McMoneagle trains viewers to suppress ego and detach from analytical overlay, a process he refined through thousands of sessions. • In military applications, those who followed these strict focus protocols demonstrated significantly higher accuracy rates. 10. Future Contact with Aliens: McMoneagle believes remote viewing could be humanity’s first tool for non-physical contact with extraterrestrial intelligence. • He suggests that advanced civilizations may already be observing human development and that psi-based intelligence collection could be used to detect and interact with them. • While skeptics demand a “smoking gun,” he maintains that his Mars sessions are one more compelling data point in a much larger puzzle. The ultimate question: Can remote viewing be the key to unlocking interstellar diplomacy?
0:47

🚨 The legendary Joe McMoneagle, the CIA’s Remote Viewer No. 1, played a pivotal role in the highly classified Stargate program, where he used remote viewing to penetrate the world’s deepest intelligence secrets. His sessions pinpointed undetectable nuclear submarines, exposed covert Soviet weapons programs, and provided life-saving intelligence during high-stakes missions in Vietnam and Europe, earning him the Legion of Merit. McMoneagle also describes out-of-body experiences and remote viewing sessions that revealed unusual structures on Mars—specifically pyramidal formations and fortress-like ruins. He claims to possess JPL negatives that match his descriptions and believes further analysis is needed. These findings come amid growing evidence that Mars once had rivers, a magnetosphere, and even fossilized bacteria—an idea that gained traction after NASA’s ALH 84001 meteorite discovery, President Clinton’s 1996 announcement, and analyses from plasma physicist John Brandenburg suggesting Mars may have suffered a nuclear catastrophe. From double-blind experiments demonstrating psi perception as a quantifiable skill to the precise methods behind remote viewing accuracy, McMoneagle challenges the limits of human perception. This episode explores the mechanics of consciousness, the future of intelligence gathering, and the controversial possibility that Mars may hold evidence of past civilization. Key Revelations: 1. Military-Grade Remote Viewing: Over 200 verified remote viewing sessions provided crucial intelligence from the late 1970s through the early 1980s. His work in identifying hidden Soviet submarine construction sites and military facilities led to major breakthroughs in U.S. defense strategy. In 1979, his session revealed an unknown Soviet sub with slanted missile tubes, later confirmed by satellite imagery. This intelligence helped shape U.S. naval countermeasures during the Cold War. 2. Unusual Structures on Mars: McMoneagle was tasked by the Department of Defense to remote view Mars at “1 million B.C.” He described massive pyramidal structures, collapsed fortifications, and signs of a lost civilization. He later obtained JPL negatives that he claims validate some of his descriptions. Recently, satellite imagery of a square anomaly on Mars—discussed by Elon Musk and mainstream scientists—has reignited interest in artificial-looking structures. If McMoneagle’s JPL negatives can be formally analyzed, they could contribute to the growing case that Mars’ past is more complex than officially acknowledged. 3. The Case for Life on Mars: McMoneagle’s claims align with a growing body of scientific evidence suggesting Mars may have supported life: • The 1996 ALH 84001 meteorite contained possible fossilized bacteria, prompting President Clinton’s public statement about potential Martian life. • Mars’ atmosphere contains Xenon-129 and Argon-40, which plasma physicist John Brandenburg argues are signatures of nuclear cataclysm—potential evidence of a large-scale ancient war. • Haim Eshed, former Israeli space security chief, has stated that human contact with extraterrestrials is ongoing and that the U.S. has knowledge of non-human presence on Mars. 4. Evolutionary Roots of Psychic Insight: McMoneagle believes remote viewing is an evolutionary ability that was once crucial for human survival. Before spoken language, early humans relied on telepathic perception to track predators, coordinate hunts, and sense threats—just as animals do today. Over time, this innate skill atrophied, but it remains latent within the human mind. 5. Refined Stargate Protocols: From 1972 to 1979, McMoneagle helped refine strict double-blind protocols for remote viewing. These included blind targeting, left-brain monitoring techniques, and strict data analysis procedures to separate real perceptions from imagination. These methods proved essential for achieving military-grade accuracy in intelligence gathering. 6. Double-Blind Validation & Telepathy: One of the most startling studies involved a Soviet experiment testing remote influence on biological targets. • Mice were divided into control and test groups through a randomized selection process. • Remote viewers were instructed to increase anxiety in the target mice. • Post-mortem chemical analysis confirmed heightened stress markers exclusively in the targeted group. McMoneagle also explores the mechanics of psi perception, emphasizing that knowing is a “sense” unto itself. This aligns with findings from The Telepathy Tapes, a hit podcast exploring cases of nonverbal communication in highly intuitive individuals, including autistic children with extraordinary clairvoyance. 7. Integration with Modern Technology: McMoneagle’s open-source remote viewing methodologies are now being integrated with artificial intelligence and pattern recognition software. Since the early 2000s, tests have explored whether AI-enhanced psi data analysis could detect non-human signatures hidden in vast data sets. 8. High-Stakes Intelligence Operations: Remote viewing played a role in critical military intelligence operations beyond Soviet submarine detection. • His sessions identified hidden crash sites at classified locations such as Fort Meade and Dugway Proving Grounds. • He tracked covert Soviet weapons facilities in real-time, allowing for rapid intelligence action when traditional surveillance failed. • The MX Missile Program was scrapped after McMoneagle and his team proved they could remotely locate mobile nuclear warheads—saving the U.S. over $100 billion. 9. The Power of Intent: Remote viewing accuracy hinges on disciplined intent and mental precision. • McMoneagle trains viewers to suppress ego and detach from analytical overlay, a process he refined through thousands of sessions. • In military applications, those who followed these strict focus protocols demonstrated significantly higher accuracy rates. 10. Future Contact with Aliens: McMoneagle believes remote viewing could be humanity’s first tool for non-physical contact with extraterrestrial intelligence. • He suggests that advanced civilizations may already be observing human development and that psi-based intelligence collection could be used to detect and interact with them. • While skeptics demand a “smoking gun,” he maintains that his Mars sessions are one more compelling data point in a much larger puzzle. The ultimate question: Can remote viewing be the key to unlocking interstellar diplomacy?

Jesse Michels

263,672 просмотров • 1 год назад

If you watch this ~50 minute screen recording closely (yeah, I know, it's long; there are also some times when my computer was very slow and laggy, just skip past that part. And at one point I had to run and get my 9-month-old a new bottle and left it on a boring screen, sorry!), I believe you can see real signs of the kind of runaway, recursive AI self-improvement that people have been warning of for a while (Mr. Kurzweil most notably and prophetically). Why do I say that? What's different now? Well, there's a reason my set of agent coding tooling is called the Flywheel. These tools all mutually self-reinforce each other. And they all flow directly into my ntm tool (short for "named_tmux_manager"), which acts as a sort of integration point and nerve center for the tools (this is becoming more true by the minute as I'm now seriously working on ntm). Now, ntm was something I started making to automate some aspects of my workflow, but it was the kind of thing where, until it was perfect, it sort of just slowed me down. So I didn't actually use it even though I kept working on it and trying to improve it, and suggested to users that they try it in my tutorials. Well anyway, I finally got around to "dogfooding" ntm last night, and now it's going to get very dramatically better at an alarming rate. Some of that is from applying my "idea wizard" prompt to generate more useful features and building that stuff out and addressing obvious pain points I encountered during my newfound usage of the tool. But a lot comes from my realization that, once again, ntm's true utility is not as a tool for ME, but for an agent. That is, ntm lets one instance of Claude Code or Codex act as, well, me, do the things that I had been doing manually. Do I wish I had started using ntm earlier? No, for two big reasons: 1) Doing it manually helped me build up my intuition massively, which directly led me down the path of creating useful prompt strategies and workflows; these often began as ad-hoc prompts that I realized could be generalized and made more versatile/universal. Lesson: don't prematurely automate until you have an intimate, intuitive feel for your "core value-add loop." Otherwise you'll have a fully automated system quickly that efficiently and automatically does a stupid or otherwise sub-optimal thing. 2) My eyes have been opened to the beauty and power of Skills. I'm not talking about your garden-variety skills that are just a simple markdown file. I'm talking about true tour-de-force directories of perfectly structured and organized files that are filled with good information, insights, workflows, etc., but presented in a way that is highly optimized for consumption by AI agents, with extreme attention paid to things like perfect progressive disclosure, token density, agent-ergonomics, agent-intuitiveness, etc. And also Skills that go way beyond markdown files, with full integration into Claude Code where it makes sense via hooks, sub-agents, and even Python scripts. These kinds of skills are a qualitative difference in expressive power and usefulness and a total game changer. They are also effectively composable, creating almost an algebra of skills that let you use them together in powerful ways. I'm working on a subscription service website and CLI tool now to share what I've learned here most effectively, stay tuned for that in the coming days. Anyway, I now know what to make and how to make it. So, getting back to that screen recording, what does it show that makes me claim recursive self-improvement is here? If you keep your eye on the upper left tmux pane, that's the "controller" agent. It is using ntm to control all the other panes which are also running Claude Code (but ntm fully supports other agent types like Codex and Gemini-CLI, and it's trivially easy to mix and match them if you wanted to have, say, 8 CCs and 6 Codexes for writing the code and 3 Gemini-CLIs for reviewing code.) Now, there's nothing that crazy about this much so far. But where it starts to get very cool is that as the session continues and we encounter real-world problems, things like my ridiculously overloaded computer that keeps hanging for long periods, Claude Code instances that crash and get into a frozen, unresponsive state, it can learn from that. And you can see it using my skill writing skill to refine its ntm vibe coding skill in real time. And then take that skill and refine it to be more intuitive for itself. Or use my cass tool skill to search all the session histories to look for problems that came up and strategize how to solve them. The most useful part was when, towards the end of the session, I told it to reflect on all the things we had done and problems we encountered. One way it can usefully leverage those reflections is by improving its ntm vibe coding skill to make it cover more edge cases and exigencies. But the other, more fundamental, way is for it to conceive of and design the optimal new features and functionality for ntm itself so that the tool embodies those lessons in a first-class way. This offloads cognition from its brain onto its tooling, just like how a person can lean on spellcheck or a calculator. It codifies correct, effective reasoning at the tool level, where it's more reliable and robust and repeatable. And btw, did you notice what code base it was working on the whole time? It was none other than ntm itself! So as it worked on its own tool, it had reflections and ideas about how to further improve the tool. Now, it could have just as easily gotten those insights and ideas while using ntm to work on a different project, but the fact that it was working on itself is almost gloriously meta and recursive. So by the end, after learning from tending to a big group of agent workers (btw, I have previously emphasized doing everything in a really distributed/decentralized way, where each fungible agent gets identical marching orders that tell it to use my bv tool to find the optimal bead to work on. This does work very well, but occasionally results in some contention and overlap from thundering herd, or at least wastes time/tokens/communication in avoiding that before the agents waste time duplicating work. But in this new ntm-oriented workflow, I was able to have the controller agent in the upper left use bv itself and then optimally parcel out the instructions to each agent so that we could know for sure that there's no overlap), I ended up with a ton of new beads for new features, which I had it optimize and polish a few times. Now I can swap to a new Claude Max account and have the swarm implement all those new features! It should only take a couple passes like the one shown in the screen recording to get everything implemented. Then we can rinse and repeat, having the agent read through the full session histories of each agent and its experience from its own session in sending ntm commands and seeing how they worked out in practice, to come up with the next batch of changes to both its ntm vibe coding skill AND to the ntm tool itself. Do you see how rapidly this turns into Skynet? My mistake earlier was in focusing on making myself a "faster horse" as Henry Ford used to joke about customers wanting before he showed them what they should really want (a Model T). That is, something that would make my experience nicer while doing this agent swarm based development workflow. But the obvious lesson is that you should make all your tooling agent-first because the agents are just better at this stuff. You can still watch, and of course I did add a ridiculous number of very nice human-centric features to ntm that you'll be seeing in the next day or two, but those are really kind of "for fun" to make us humans feel better about the process. All the real value-add is happening "by agents, for agents." PS: Towards the end, you can see me switch to my Mac and tell Claude to improve the skill that I made earlier today for taking the mkv screen recording files from OBS Studio and muxing them into MP4 files for sharing, while downloading songs from YouTube to serve as the background music. I made it so it can also grab the thumbnails and generate little song credit cards that show up in the lower right corner. This worked perfectly the first time! I'll include some screenshots in a response post showing how that worked, but it was awesome to witness. Skills are POWERFUL. I'll also post a link to this video on YouTube if you prefer to watch it there.
51:48

If you watch this ~50 minute screen recording closely (yeah, I know, it's long; there are also some times when my computer was very slow and laggy, just skip past that part. And at one point I had to run and get my 9-month-old a new bottle and left it on a boring screen, sorry!), I believe you can see real signs of the kind of runaway, recursive AI self-improvement that people have been warning of for a while (Mr. Kurzweil most notably and prophetically). Why do I say that? What's different now? Well, there's a reason my set of agent coding tooling is called the Flywheel. These tools all mutually self-reinforce each other. And they all flow directly into my ntm tool (short for "named_tmux_manager"), which acts as a sort of integration point and nerve center for the tools (this is becoming more true by the minute as I'm now seriously working on ntm). Now, ntm was something I started making to automate some aspects of my workflow, but it was the kind of thing where, until it was perfect, it sort of just slowed me down. So I didn't actually use it even though I kept working on it and trying to improve it, and suggested to users that they try it in my tutorials. Well anyway, I finally got around to "dogfooding" ntm last night, and now it's going to get very dramatically better at an alarming rate. Some of that is from applying my "idea wizard" prompt to generate more useful features and building that stuff out and addressing obvious pain points I encountered during my newfound usage of the tool. But a lot comes from my realization that, once again, ntm's true utility is not as a tool for ME, but for an agent. That is, ntm lets one instance of Claude Code or Codex act as, well, me, do the things that I had been doing manually. Do I wish I had started using ntm earlier? No, for two big reasons: 1) Doing it manually helped me build up my intuition massively, which directly led me down the path of creating useful prompt strategies and workflows; these often began as ad-hoc prompts that I realized could be generalized and made more versatile/universal. Lesson: don't prematurely automate until you have an intimate, intuitive feel for your "core value-add loop." Otherwise you'll have a fully automated system quickly that efficiently and automatically does a stupid or otherwise sub-optimal thing. 2) My eyes have been opened to the beauty and power of Skills. I'm not talking about your garden-variety skills that are just a simple markdown file. I'm talking about true tour-de-force directories of perfectly structured and organized files that are filled with good information, insights, workflows, etc., but presented in a way that is highly optimized for consumption by AI agents, with extreme attention paid to things like perfect progressive disclosure, token density, agent-ergonomics, agent-intuitiveness, etc. And also Skills that go way beyond markdown files, with full integration into Claude Code where it makes sense via hooks, sub-agents, and even Python scripts. These kinds of skills are a qualitative difference in expressive power and usefulness and a total game changer. They are also effectively composable, creating almost an algebra of skills that let you use them together in powerful ways. I'm working on a subscription service website and CLI tool now to share what I've learned here most effectively, stay tuned for that in the coming days. Anyway, I now know what to make and how to make it. So, getting back to that screen recording, what does it show that makes me claim recursive self-improvement is here? If you keep your eye on the upper left tmux pane, that's the "controller" agent. It is using ntm to control all the other panes which are also running Claude Code (but ntm fully supports other agent types like Codex and Gemini-CLI, and it's trivially easy to mix and match them if you wanted to have, say, 8 CCs and 6 Codexes for writing the code and 3 Gemini-CLIs for reviewing code.) Now, there's nothing that crazy about this much so far. But where it starts to get very cool is that as the session continues and we encounter real-world problems, things like my ridiculously overloaded computer that keeps hanging for long periods, Claude Code instances that crash and get into a frozen, unresponsive state, it can learn from that. And you can see it using my skill writing skill to refine its ntm vibe coding skill in real time. And then take that skill and refine it to be more intuitive for itself. Or use my cass tool skill to search all the session histories to look for problems that came up and strategize how to solve them. The most useful part was when, towards the end of the session, I told it to reflect on all the things we had done and problems we encountered. One way it can usefully leverage those reflections is by improving its ntm vibe coding skill to make it cover more edge cases and exigencies. But the other, more fundamental, way is for it to conceive of and design the optimal new features and functionality for ntm itself so that the tool embodies those lessons in a first-class way. This offloads cognition from its brain onto its tooling, just like how a person can lean on spellcheck or a calculator. It codifies correct, effective reasoning at the tool level, where it's more reliable and robust and repeatable. And btw, did you notice what code base it was working on the whole time? It was none other than ntm itself! So as it worked on its own tool, it had reflections and ideas about how to further improve the tool. Now, it could have just as easily gotten those insights and ideas while using ntm to work on a different project, but the fact that it was working on itself is almost gloriously meta and recursive. So by the end, after learning from tending to a big group of agent workers (btw, I have previously emphasized doing everything in a really distributed/decentralized way, where each fungible agent gets identical marching orders that tell it to use my bv tool to find the optimal bead to work on. This does work very well, but occasionally results in some contention and overlap from thundering herd, or at least wastes time/tokens/communication in avoiding that before the agents waste time duplicating work. But in this new ntm-oriented workflow, I was able to have the controller agent in the upper left use bv itself and then optimally parcel out the instructions to each agent so that we could know for sure that there's no overlap), I ended up with a ton of new beads for new features, which I had it optimize and polish a few times. Now I can swap to a new Claude Max account and have the swarm implement all those new features! It should only take a couple passes like the one shown in the screen recording to get everything implemented. Then we can rinse and repeat, having the agent read through the full session histories of each agent and its experience from its own session in sending ntm commands and seeing how they worked out in practice, to come up with the next batch of changes to both its ntm vibe coding skill AND to the ntm tool itself. Do you see how rapidly this turns into Skynet? My mistake earlier was in focusing on making myself a "faster horse" as Henry Ford used to joke about customers wanting before he showed them what they should really want (a Model T). That is, something that would make my experience nicer while doing this agent swarm based development workflow. But the obvious lesson is that you should make all your tooling agent-first because the agents are just better at this stuff. You can still watch, and of course I did add a ridiculous number of very nice human-centric features to ntm that you'll be seeing in the next day or two, but those are really kind of "for fun" to make us humans feel better about the process. All the real value-add is happening "by agents, for agents." PS: Towards the end, you can see me switch to my Mac and tell Claude to improve the skill that I made earlier today for taking the mkv screen recording files from OBS Studio and muxing them into MP4 files for sharing, while downloading songs from YouTube to serve as the background music. I made it so it can also grab the thumbnails and generate little song credit cards that show up in the lower right corner. This worked perfectly the first time! I'll include some screenshots in a response post showing how that worked, but it was awesome to witness. Skills are POWERFUL. I'll also post a link to this video on YouTube if you prefer to watch it there.

Jeffrey Emanuel

25,483 просмотров • 8 месяцев назад

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.
35:48

CANCEL Your Weekend Plans, and Learn Claude Code Today. $5,000/month. $10,000/month. $20,000/month. People are building entire apps and charging clients thousands using Claude Code. You're still Googling 'how to center a div.' While you're binge-watching a show you won't remember next week, a 19 year old with zero coding experience just built a $5,000 SaaS product in one afternoon using the tool I'm about to break down. Same laptop. Same internet. Same 24 hours. He has Claude Code. You have Netflix. That's the only difference. This YouTube video is a goldmine. Full Claude Code tutorial. Beginner to pro. Every feature. Every setup step. Every best practice. Zero prior knowledge needed. Save it. Watch it tonight. Not tomorrow. Tonight. Save this post. This is your complete Claude Code roadmap. Lose it and you lose the next 12 months of income. Follow Himanshu Kumar so you don't miss the breakdowns for each feature. ↓ 1. Understand What Claude Code Actually Is. You think Claude Code is just another chatbot. It's not. And that misunderstanding is why you're broke. ChatGPT gives you text. Claude Code gives you software. It runs in your terminal. It reads your entire codebase. It writes files directly to your project. It runs commands on your machine. It debugs errors autonomously. It builds features end to end. You're not chatting. You're deploying a developer. One that works 24/7. Never asks for a raise. Never calls in sick. Never pushes broken code at 5 PM on a Friday. People are charging clients $5,000-$10,000 for apps they built with Claude Code in 3 hours. And you didn't even know this tool existed because you're still asking ChatGPT to write you a to-do list. The gap between you and people making money with AI isn't intelligence. It's awareness. Now you're aware. Save this post. Follow Himanshu Kumar for the complete breakdown of every Claude Code feature. ↓ 2. Set Up Claude Code Properly. Most people quit here. "It's too complicated." "I don't know terminal." "I'll set it up later." Later never comes. And "complicated" means "I watched for 30 seconds and gave up." The setup takes 10 minutes. Install Node.js. Install Claude Code via npm. Authenticate your account. Open your terminal. Done. 10 minutes. You spent longer this morning deciding what to have for breakfast. The video walks through every single click. Every command. Every screen. Assuming you know absolutely nothing. If you can download an app on your phone, you can set up Claude Code. It's the same level of difficulty. But you'll still tell yourself it's "too technical" because that excuse is more comfortable than admitting you're just scared to try something new. This is the setup that everything else builds on. Skip it and nothing works. ↓ 3. Use the Desktop App. You don't even need to live in the terminal if you don't want to. Claude Code has a desktop app. Clean interface. Visual feedback. Everything you need without touching command line. But here's the thing most people don't know: The desktop app isn't just a pretty wrapper. It lets you manage projects visually. See file changes in real time. Switch between projects instantly. The people making money with Claude Code use the desktop app for client projects because it's faster to manage multiple builds simultaneously. You're still opening 14 browser tabs to organize one project. They open one app and everything's there. Efficiency isn't a personality trait. It's a tool choice. Save this post. Follow Himanshu Kumar for the desktop app workflow that handles 5 client projects at once. ↓ 4. Install the Right Dependencies. This is where beginners silently fail and blame the tool. Claude Code needs certain dependencies installed to work properly. Miss one and everything breaks. Then you go on Twitter and say "Claude Code doesn't work." It works fine. You just didn't read the setup guide. The video covers every dependency you need. What to install. How to install it. How to verify it's working. No guessing. No Stack Overflow rabbit holes at midnight. No "why isn't this working" for 3 hours. Watch the dependency section once. Follow every step. Never deal with setup issues again. You spent more time last week troubleshooting a printer than this takes. ↓ 5. Work Inside Your Code Editor. Claude Code integrates directly with your code editor. VS Code. Cursor. Whatever you use. It's not a separate window you alt-tab between. It's right there. In your workflow. You type a request. Claude writes the code. The code appears in your editor. You review it. Accept it. Done. No copy pasting between windows. No reformatting code that got mangled in transit. No "which version was the right one." It's like pair programming with someone who never gets distracted, never argues about naming conventions, and actually writes code that works on the first try. Your current coding process is: Google the problem, read 5 answers on Stack Overflow, copy the wrong one, debug for an hour, find the right one, paste it in, break something else, repeat. Claude Code's process is: describe what you want, get working code, move on with your life. Same hour. One method produces working software. The other produces frustration and a browser history full of Stack Overflow tabs. Stop coding the hard way. Save this post. Follow Himanshu Kumar for code editor setup guides and integration tips. ↓ 6. Master Basic Usage. Most people learn 5% of a tool and say they "know" it. You "know" Photoshop because you can crop an image. You "know" Excel because you can sum a column. You "know" Claude Code because you asked it one question. Basic usage means: How to give Claude Code context about your project. How to ask for changes to existing code. How to generate new files and features. How to review what Claude produces. How to iterate when the output isn't perfect. These basics are the foundation of everything. Skip them and every advanced feature feels confusing. Master them and every advanced feature feels obvious. The video breaks down each one with real examples. Not theory. Actual usage on actual projects. You've been using AI tools at 5% capacity and wondering why your results are 5% of what others get. Save this post. Follow Himanshu Kumar for daily Claude Code usage tips. ↓ 7. Learn Every Command. Claude Code has commands that most users never discover. Because most users type one message and expect magic. That's not how professionals use it. Professionals use specific commands that tell Claude Code exactly what to do, how to do it, and what constraints to follow. The difference between a beginner and someone making $10K/month with Claude Code is knowing which command to use and when. The video walks through every single one. Not just what they do. But when to use each one. And why one command is better than another for specific situations. You've been using Claude Code like a hammer. These commands turn it into a full toolbox. Stop treating a power tool like a blunt instrument. Save this post. Follow Himanshu Kumar for the command cheat sheet I use daily. ↓ 8. Understand Modes and Shortcuts. Speed matters. The person who builds an app in 2 hours charges $5,000. The person who builds the same app in 2 days charges $2,000. Same app. Same quality. Different speed. Different income. Claude Code has modes that change how it operates. And shortcuts that cut your workflow time in half. Most people don't know either exists. They use Claude Code in default mode for everything. Like driving a car in first gear on the highway. Technically it works. But everyone is passing you. The video shows you every mode. Every shortcut. Every time-saving trick that separates the people charging $2,000 per project from the people charging $10,000. Speed is money. Literally. Save this post. Follow Himanshu Kumar for the shortcuts that cut my build time by 60%. ↓ 9. Write a Proper Planning Prompt. This is the section that separates amateurs from professionals. And it's the section most people skip. A planning prompt tells Claude Code what you're building before you start building it. Architecture. File structure. Technologies. Features. Constraints. Edge cases. Without a planning prompt, Claude Code guesses. And guessing produces garbage. With a planning prompt, Claude Code executes a clear plan. And clear plans produce working software. The video shows you exactly how to write a planning prompt that makes Claude Code produce professional-grade output on the first try. "But I just want to start coding." That's why your code breaks every time. That's why you restart projects 4 times. That's why nothing you build ever gets finished. Because you refuse to plan. A 5-minute planning prompt saves you 5 hours of debugging. But you'd rather skip the 5 minutes and suffer through the 5 hours because patience isn't your thing. And that's exactly why you're not making money. Planning is the most underpaid skill in coding. And the most overpaid when you master it. Save this post. Follow Himanshu Kumar for the planning prompt templates I use for every client project. ↓ 10. Choose the Right Model. Claude Code lets you select different AI models. Not all models are the same. Not all tasks need the same model. Using the most powerful model for a simple task wastes credits. Using a basic model for a complex task wastes time. The video explains: Which model to use for quick fixes. Which model to use for complex architecture. Which model to use for debugging. Which model to use for code generation. Most people pick one model and use it for everything. That's like using a sledgehammer to hang a picture frame. Model selection is strategy. And strategy is money. The people making $10K/month with Claude Code are strategic about every credit they spend. You're burning through credits because you use the most expensive model to write a hello world. ↓ 11. Use Git and Version Control. If you're not using version control, you're one mistake away from losing everything. Claude Code integrates with Git. Every change tracked. Every version saved. Every mistake reversible. Without Git: Claude makes a change. It breaks something. You can't undo it. You start over. 3 hours wasted. With Git: Claude makes a change. It breaks something. You roll back in 5 seconds. Keep working. Version control isn't optional. It's insurance. And the people not using it are the same people who say "I lost my entire project" like it's something that just happens. It doesn't just happen. It happens because you didn't set up Git. The video walks through the entire Git integration. Save this post. Follow Himanshu Kumar for the Git workflow that's saved every project I've ever built. ↓ 12. Set Up Claude.MD and Memory. This is the feature that makes Claude Code feel like a real team member instead of a stranger you explain everything to every time. ClaudeMD is a memory file. You tell Claude Code about your project once. It remembers forever. Coding style preferences. Project architecture decisions. Technology stack. File naming conventions. Business logic rules. Without ClaudeMD: Every new conversation starts from zero. You explain the same things repeatedly. Output is inconsistent. With ClaudeMD: Claude knows your project. Claude follows your rules. Claude produces consistent, professional code. The difference between a sloppy freelancer and a reliable agency is consistency. Claude. MD gives you consistency without the agency overhead. Most people don't set this up and wonder why Claude Code gives different answers every time. ↓ 13. Automate with Tasks. This is where Claude Code stops being a tool and starts being an employee. Tasks let you define repeating workflows. "Every time I push code, run tests." "Every time I create a new file, add boilerplate." "Every time I start a session, check for errors." Automated. Hands-free. Consistent. You're doing these things manually every single day. The same checks. The same steps. The same routine. Tasks do them automatically. So you can focus on the work that actually makes money. Every manual task you automate is time you get back. And time is the only thing you can never make more of. Save this post. Follow Himanshu Kumar for the task automation templates that run my entire workflow. ↓ 14. Explore Features Most People Never Touch. The video covers features that 95% of Claude Code users don't know exist. Because they watched a 3-minute TikTok about Claude Code and think they're experts now. They're not. They're using 5% of a tool that can do everything. The full tutorial goes deep into features that most tutorials skip because they're "too advanced." They're not too advanced. They're too valuable for lazy creators to bother explaining. This video explains all of them. Clearly. For beginners. The 5% of features you don't know about are the 5% that make people rich. ↓ Let's zoom out. I just broke down 14 sections of Claude Code. Setup and installation. Desktop app. Dependencies. Code editor integration. Basic usage. Commands. Modes and shortcuts. Planning prompts. Model selection. Git and version control. Memory and Claude. MD. Tasks and automation. Advanced features. All in one video. All free. All beginner friendly. The person who masters even half of these in the next 2 weeks will be in the top 1% of Claude Code users. The top 1% of Claude Code users are the ones charging $5,000-$10,000 per project and building them in a single afternoon. Everyone else is asking ChatGPT to fix their resume. Same tools. Same access. Completely different outcomes. Because one person treats AI like a toy. And the other treats it like a business. ↓ Here's the hard truth nobody wants to hear. You don't have a talent problem. You don't have an intelligence problem. You don't have a resources problem. You have an action problem. Everything I just listed has a free tutorial right here in the attached video. 33 minutes. That's it. 33 minutes to learn the tool that people are using to build $5,000-$20,000/month businesses. You spent more time today scrolling Twitter than it takes to watch this video. You spent more time this week watching Netflix than it takes to master Claude Code basics. You spent more time this month doing nothing than it would take to completely change your income. The information is free. The tool is accessible. The opportunity is here. The only thing missing is you caring enough to start. ↓ CANCEL your plans this week. This isn't optional anymore. The people learning Claude Code right now will be building apps for the people who didn't learn it. That's not a prediction. That's already happening. Companies are replacing $150/hour developers with one person and Claude Code. If you code: learn Claude Code or become half as valuable by next year. If you don't code: learn Claude Code or miss the biggest opportunity to start earning from tech without a CS degree. There's no path forward that doesn't include AI coding tools. None. You have one window. Right now. This week. ↓ Here's your action plan for the next 7 days: Day 1: Watch the full video. Install Claude Code. Set up dependencies. Day 2: Learn basic usage. Try 5 different commands. Day 3: Write your first planning prompt. Build a small project. Day 4: Set up Claude. MD. Configure your memory file. Day 5: Master modes and shortcuts. Build a second project faster. Day 6: Set up Git integration. Automate with tasks. Day 7: Build something real. A tool, an app, a website. Ship it. 7 days. One tool. One completely different skill set. One completely different income potential. Or 7 more days of scrolling Twitter watching other people build things while you "plan to start." Your call. ↓ This is the most important video you'll watch this year. 33 minutes. Complete Claude Code mastery. From zero to building real projects. Save this post. Come back to it every single day this week. Check off each section as you complete it. Follow Himanshu Kumar for daily Claude Code breakdowns, advanced tutorials, and the exact workflows that are turning beginners into $10K/month builders. The only thing between you and $10K/month with Claude Code is this video and 7 days. Don't waste them. You Must Follow me Himanshu Kumar, so i can send you DM.

Himanshu Kumar

101,793 просмотров • 6 месяцев назад

TOPIC # 94: LET'S CONQUER THE "ENEMY"! Where is our enemy? Do we have an enemy? Why I always fail? Why people always against me? This is an important question we need to ask ourselves. Many people tend to see enemies only in the outside world, overlooking the internal struggles we face within ourselves. To truly improve our relationships and make a positive impact on the world, we must first conquer our own selfishness, doubts, timidity, greed, anger, ignorance, and arrogance. By addressing these internal "enemies," we can approach the outside world with greater peace and efficiency. Today in the Pi Network, we often demand OM for KYC, migration or OM or money. However, we must understand that merely demanding something will not help us achieve our goals. It’s similar to a child wanting candy; they may resort to various tactics to threaten their parents. If the parents know how to educate their children, they will not give in to the child’s cries. The same principle applies to the Pi Network. Only when we conquer our internal “enemies” can we fully understand the vision and mission of the Pi Network. When we grasp this understanding, we will firmly support all strategies and actions related to CT. If you don’t understand the meaning of CT, it is wise to follow the guidance from the Global GCV CT team, as we have over 30 experienced professionals with collective wisdom. I understand that the GCV community may be struggling to grasp our strategic change following the launch of the Open Network. The ecosystems and the exchange markets seem to be in opposition, but in reality, they are like siblings—one may be older, but both come from the same parents. Today, we emphasize that the exchange market is essential for a long-term sustainable ecosystem. When we talk about the ecosystem, we refer to two main components: the technical part and the economic part. The CT (Core Team) is focused on the technical aspects, such as coding, developing 100 Dapps, and implementing the Know Your Business (KYB) procedures. Meanwhile, the Pioneers are working on value and pricing to ensure the healthy development of the ecosystem. In this analogy, the CT is like the hardware, while the Pioneers are akin to the software. Just as you need both hardware and software to run a computer, we need both components for our ecosystem. During the enclosed mainnet, we worked hard to establish the GCV price at $314,159. This success is reflected in the source code. Now, we need all ecosystem participants to agree on a single price so that all Pioneers can use Pi to purchase products and pay for services using full Pi payments. To achieve this, we must stabilize Pi as a stablecoin. How can we gain global recognition for GCV? The answer lies in the exchange market. No matter how much GCV data we produce, the outside world cannot see it or acknowledge it. This is why our call for Pi buyback is critical for ecosystem development. I have noticed considerable resistance towards the buyback. After investigating those who oppose it, I found that many of them come from other cryptocurrency backgrounds, and some Pioneers have colluded with them to mislead others. Their goal appears to be preventing Pi from successfully reaching GCV on the exchange market. This is reflected in the choice of the song "Enemy" from the series Arcane: League of Legends for our second conference promotional video. The song brilliantly captures themes of rivalry, betrayal, and personal growth. It speaks to the conflicts we face with others and the battles we fight within ourselves. At its core, "Enemy" focuses on relationships—with others and oneself. It addresses dealing with doubters and the inner voice that sometimes breeds self-doubt, while also conveying a message of hope: overcoming these challenges is possible. Music has therapeutic effects, as modern neurophysiological research indicates that it directly impacts the nervous system, influencing the regulation of internal organs and bodily functions. Different pieces of music, each with unique rhythms, speeds, pitches, and timbres, can have calming, energizing, analgesic effects, as well as regulate heart rate and lower blood pressure. I urge all Pioneers: if you want our OM to succeed with the GCV price, please actively share our information everywhere, especially the promotional video and messages for the 2nd Global Pioneers Conference. The music has the power to awaken many pioneers from deep within their hearts.This conference is not only for GCV community but for all Pi Network community or even non-users from Pi Network. The more you disseminate our message, the closer we will get to achieving your financial freedom goals. You may not fully understand our strategy right now, but if you choose to follow our guidance, you will see results. Trusting in a visionary team is crucial, as unity leads to success! Are you ready, Global Pioneers? We are excited to announce that our 2nd Global Pioneers Conference will be held on May 25, 2025 at 7am USA EST. This time, our theme is: "Building a Sustainable Ecosystem with GCV – Merchants as the Foundation." The Four Critical Tasks are as follows: 1. Buy Back Pi By creating real demand, we can defend the value of Pi through purposeful participation. 2.Register Merchants on the Map of Pi Merchants are the heart of the Pi economy. Their visibility and acceptance are essential for growth. 3.Promote Bartering and Partial PI Payments Encouraging the real-world use of Pi, especially through flexible payment methods, demonstrates its true utility. 4.Repost with Purpose and Belief in GCV Through consistent, purpose-driven communication, we can spread awareness, inspire action, and strengthen our community. Together, these actions lay the foundation for a thriving, sustainable ecosystem where merchants play a crucial role in driving us forward. Let’s continue to act boldly and build a future that benefits us all. Doris Yin 🪷🪷🪷 Founder, Global GCV Movement P.S. All conference videos have been produced by my daughter, who recommends the use of earphones to attain the most impactful experience.
3:06

TOPIC # 94: LET'S CONQUER THE "ENEMY"! Where is our enemy? Do we have an enemy? Why I always fail? Why people always against me? This is an important question we need to ask ourselves. Many people tend to see enemies only in the outside world, overlooking the internal struggles we face within ourselves. To truly improve our relationships and make a positive impact on the world, we must first conquer our own selfishness, doubts, timidity, greed, anger, ignorance, and arrogance. By addressing these internal "enemies," we can approach the outside world with greater peace and efficiency. Today in the Pi Network, we often demand OM for KYC, migration or OM or money. However, we must understand that merely demanding something will not help us achieve our goals. It’s similar to a child wanting candy; they may resort to various tactics to threaten their parents. If the parents know how to educate their children, they will not give in to the child’s cries. The same principle applies to the Pi Network. Only when we conquer our internal “enemies” can we fully understand the vision and mission of the Pi Network. When we grasp this understanding, we will firmly support all strategies and actions related to CT. If you don’t understand the meaning of CT, it is wise to follow the guidance from the Global GCV CT team, as we have over 30 experienced professionals with collective wisdom. I understand that the GCV community may be struggling to grasp our strategic change following the launch of the Open Network. The ecosystems and the exchange markets seem to be in opposition, but in reality, they are like siblings—one may be older, but both come from the same parents. Today, we emphasize that the exchange market is essential for a long-term sustainable ecosystem. When we talk about the ecosystem, we refer to two main components: the technical part and the economic part. The CT (Core Team) is focused on the technical aspects, such as coding, developing 100 Dapps, and implementing the Know Your Business (KYB) procedures. Meanwhile, the Pioneers are working on value and pricing to ensure the healthy development of the ecosystem. In this analogy, the CT is like the hardware, while the Pioneers are akin to the software. Just as you need both hardware and software to run a computer, we need both components for our ecosystem. During the enclosed mainnet, we worked hard to establish the GCV price at $314,159. This success is reflected in the source code. Now, we need all ecosystem participants to agree on a single price so that all Pioneers can use Pi to purchase products and pay for services using full Pi payments. To achieve this, we must stabilize Pi as a stablecoin. How can we gain global recognition for GCV? The answer lies in the exchange market. No matter how much GCV data we produce, the outside world cannot see it or acknowledge it. This is why our call for Pi buyback is critical for ecosystem development. I have noticed considerable resistance towards the buyback. After investigating those who oppose it, I found that many of them come from other cryptocurrency backgrounds, and some Pioneers have colluded with them to mislead others. Their goal appears to be preventing Pi from successfully reaching GCV on the exchange market. This is reflected in the choice of the song "Enemy" from the series Arcane: League of Legends for our second conference promotional video. The song brilliantly captures themes of rivalry, betrayal, and personal growth. It speaks to the conflicts we face with others and the battles we fight within ourselves. At its core, "Enemy" focuses on relationships—with others and oneself. It addresses dealing with doubters and the inner voice that sometimes breeds self-doubt, while also conveying a message of hope: overcoming these challenges is possible. Music has therapeutic effects, as modern neurophysiological research indicates that it directly impacts the nervous system, influencing the regulation of internal organs and bodily functions. Different pieces of music, each with unique rhythms, speeds, pitches, and timbres, can have calming, energizing, analgesic effects, as well as regulate heart rate and lower blood pressure. I urge all Pioneers: if you want our OM to succeed with the GCV price, please actively share our information everywhere, especially the promotional video and messages for the 2nd Global Pioneers Conference. The music has the power to awaken many pioneers from deep within their hearts.This conference is not only for GCV community but for all Pi Network community or even non-users from Pi Network. The more you disseminate our message, the closer we will get to achieving your financial freedom goals. You may not fully understand our strategy right now, but if you choose to follow our guidance, you will see results. Trusting in a visionary team is crucial, as unity leads to success! Are you ready, Global Pioneers? We are excited to announce that our 2nd Global Pioneers Conference will be held on May 25, 2025 at 7am USA EST. This time, our theme is: "Building a Sustainable Ecosystem with GCV – Merchants as the Foundation." The Four Critical Tasks are as follows: 1. Buy Back Pi By creating real demand, we can defend the value of Pi through purposeful participation. 2.Register Merchants on the Map of Pi Merchants are the heart of the Pi economy. Their visibility and acceptance are essential for growth. 3.Promote Bartering and Partial PI Payments Encouraging the real-world use of Pi, especially through flexible payment methods, demonstrates its true utility. 4.Repost with Purpose and Belief in GCV Through consistent, purpose-driven communication, we can spread awareness, inspire action, and strengthen our community. Together, these actions lay the foundation for a thriving, sustainable ecosystem where merchants play a crucial role in driving us forward. Let’s continue to act boldly and build a future that benefits us all. Doris Yin 🪷🪷🪷 Founder, Global GCV Movement P.S. All conference videos have been produced by my daughter, who recommends the use of earphones to attain the most impactful experience.

Doris Yin 东方紫莲🪷

53,345 просмотров • 1 год назад