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Sam Altman's @ChatGPTapp third-party analytics provider Mixpanel gets hacked on Nov 9 compromising user account data. We only get notified by #OpenAI on Nov 26! What happened in the 17 days in between? Don't trust your data to people who take weeks to warn you it's been spilled. This... show more

AlphaTON Capital 💎 🚀

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39,428 次观看 • 8 个月前 •via X (Twitter)

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𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮. 𝗬𝗼𝘂𝗿 𝗔𝗜. 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹. 𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼 𝘆𝗼𝘂 𝗳𝗲𝗲𝗱 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 #AI? The future of AI isn't about giving up your privacy to a tech giant. It's about sovereignty. Ben Goertzel the godfather of #AGI shares the vision. We're collaborating with SingularityNET to power Cocoon AI: Telegram Messenger ’s decentralized AI network. By securing high-performance compute infrastructure that is encrypted and decentralized, we are ensuring access to all Telegram users - more than 1 billion people right now - to top-tier AI tools without ever exposing their personal data. ✅ Decentralized Intelligence ✅ Military-Grade Privacy ✅ Zero-Carbon Footprint NASDAQ: $ATON The backbone of ethical AI 💎🚀🎯 #DataPrivacy #ATON ₿rittany Kaiser 💎 🚀 enzo villani Wes Levitt Will De Ath logan Yury Mitin Jennifer de Broglie Anthony Scaramucci

𝗬𝗼𝘂𝗿 𝗗𝗮𝘁𝗮. 𝗬𝗼𝘂𝗿 𝗔𝗜. 𝗬𝗼𝘂𝗿 𝗖𝗼𝗻𝘁𝗿𝗼𝗹. 𝗧𝗵𝗶𝗻𝗸 𝗮𝗯𝗼𝘂𝘁 𝗶𝘁. 𝗪𝗵𝗮𝘁 𝗶𝘀 𝗵𝗮𝗽𝗽𝗲𝗻𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗮𝗹𝗹 𝘁𝗵𝗲 𝗶𝗻𝗳𝗼 𝘆𝗼𝘂 𝗳𝗲𝗲𝗱 𝗶𝗻𝘁𝗼 𝘆𝗼𝘂𝗿 #AI? The future of AI isn't about giving up your privacy to a tech giant. It's about sovereignty. Ben Goertzel the godfather of #AGI shares the vision. We're collaborating with SingularityNET to power Cocoon AI: Telegram Messenger ’s decentralized AI network. By securing high-performance compute infrastructure that is encrypted and decentralized, we are ensuring access to all Telegram users - more than 1 billion people right now - to top-tier AI tools without ever exposing their personal data. ✅ Decentralized Intelligence ✅ Military-Grade Privacy ✅ Zero-Carbon Footprint NASDAQ: $ATON The backbone of ethical AI 💎🚀🎯 #DataPrivacy #ATON ₿rittany Kaiser 💎 🚀 enzo villani Wes Levitt Will De Ath logan Yury Mitin Jennifer de Broglie Anthony Scaramucci

AlphaTON Capital 💎 🚀

91,522 次观看 • 7 个月前

"How are you going to invest in Starbucks if you don't look at the credit card data?" Matt Ober (ex-WorldQuant, former Chief Data Scientist at Third Point, worked under Dan Loeb) on why consumer investing without alt data is malpractice: "A sovereign wealth fund asked me what the point of the data science team even was." "All the money at Starbucks comes from people using the app to buy a coffee." "There's no excuse that the analyst doesn't know Python, or where to get the data, or whether it's accurate." "If you invest in consumer and don't use alternative data, you're investing blind." "It's been accurate 86% of the time — we forecast the KPIs directionally 100% of the time." "There's no excuse."

"How are you going to invest in Starbucks if you don't look at the credit card data?" Matt Ober (ex-WorldQuant, former Chief Data Scientist at Third Point, worked under Dan Loeb) on why consumer investing without alt data is malpractice: "A sovereign wealth fund asked me what the point of the data science team even was." "All the money at Starbucks comes from people using the app to buy a coffee." "There's no excuse that the analyst doesn't know Python, or where to get the data, or whether it's accurate." "If you invest in consumer and don't use alternative data, you're investing blind." "It's been accurate 86% of the time — we forecast the KPIs directionally 100% of the time." "There's no excuse."

Ethan Kho

131,050 次观看 • 2 个月前

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

My conversation with OpenAI co-founder Greg Brockman This is the most detailed first-person account of the 72 hours after Sam Altman was fired. We also go deep on what comes next: the global race to AGI, why ChatGPT stopped showing reasoning, how much of OpenAI's own code is now written by AI ("it's hard to know what percent is not"), and the untold story of how OpenAI actually started in 2015. 00:00:00 Introduction 00:00:49 Meeting Sam Altman and Starting OpenAI 00:02:40 Building the Founding Team 00:04:25 DeepMind's Lead Over OpenAI 00:04:54 Changing OpenAI to a For-Profit Model 00:06:05 Breakthrough Moments at OpenAI 00:08:22 What Dota 2 Meant for OpenAI 00:10:04 Reasoning Versus Prediction 00:11:59 Tensions Grow at OpenAI 00:15:44 Sam Altman's Firing 00:17:49 Greg Quits OpenAI 00:19:56 Sam Explores Deal with Microsoft's Satya 00:20:28 Petition for Altman's Return 00:23:43 Ilya Sutskever Leaves OpenAI 00:24:59 Lessons Learned after Sam Ousting 00:28:22 The Thing Ilya Said that Greg Can't Forget 00:32:22 Is AI Going Parabolic? 00:33:24 How Much of OpenAI's Code is Written by AI? 00:36:21 Do AI Chatbots Tell Us What We Want to Hear? 00:38:06 The Global AI Race to Reach AGI 00:38:40 What Happens if US Doesn't Reach AGI First? 00:39:49 Are Countries Stealing AI Advancements? 00:40:38 Why ChatGPT No Longer Shows Reasoning 00:41:47 The Finite Constraints of Compute 00:43:38 On Investing Early in Data Centers 00:46:31 The Future of Data Center Specialization 00:47:52 How to Decide Whose Queries to Serve 00:49:08 OpenAI on Consumer vs Enterprise Models 00:53:05 Data Centers in Space? 01:00:56 What Should AI Regulation Look Like? 01:04:33 The Future of AI-Powered Entrepreneurship 01:04:44 AI and Job Loss 01:07:15 The Skills Young People Should Invest In 01:11:30 What Does Success Look Like For You? Full episode on X below. Also find it on: • YouTube: • Spotify: • Apple:

Shane Parrish

450,952 次观看 • 3 个月前

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

Introducing the Future of AI-Powered Sports Data with $FXI.⚡️ We’re not just talking about innovation, we’re building it. 🚀 From #AI-driven data capture to on-chain validation and data monetization, the FX1 ecosystem is rewriting the rules of the sports and data economy. Our platform empowers leagues, teams, and creators to unlock the full potential of their data with cutting-edge AI solutions. 🧠 Why FX1? ➡️ AI-Powered Precision: Transform raw sports data into actionable insights. ➡️ Data Validation on Chain: Building trust in the data economy through blockchain. ➡️ AI-Powered Revenue Streams: Use sports data to drive predictive analytics, odds modeling, and other high-value solutions that unlock new ways to monetize. FX1 is leading the charge in AI innovation, creating a seamless bridge between sports, blockchain, and the data economy. This isn’t just evolution - it’s a revolution. 💡 The future of sports is here. And it’s powered by AI. 🤖 Watch the full video and see how we’re turning vision into reality. 👇

FX1

23,913 次观看 • 1 年前

We’ve partnered with OpenAI to release Sweetspot (YC S23) directly within ChatGPT. Any ChatGPT user can now search over federal contract data - no paid tools required and no Sweetspot subscription needed. We built this on ChatGPT because access to basic federal data shouldn't cost thousands of dollars a year. is public information, and using AI to find the right opportunities shouldn't be a privilege. For Sweetspot customers, it gets even better. You can pull opportunity data straight from ChatGPT and start up your full workflow (qualification, analysis, proposal response) inside Sweetspot. Even if you’re not in government contracting, check it out and share it with your colleagues who are. It’s completely free! Link below.

We’ve partnered with OpenAI to release Sweetspot (YC S23) directly within ChatGPT. Any ChatGPT user can now search over federal contract data - no paid tools required and no Sweetspot subscription needed. We built this on ChatGPT because access to basic federal data shouldn't cost thousands of dollars a year. is public information, and using AI to find the right opportunities shouldn't be a privilege. For Sweetspot customers, it gets even better. You can pull opportunity data straight from ChatGPT and start up your full workflow (qualification, analysis, proposal response) inside Sweetspot. Even if you’re not in government contracting, check it out and share it with your colleagues who are. It’s completely free! Link below.

sachin

38,465 次观看 • 4 个月前

The Nillion alpha mainnet and the $NIL token just went live earlier this week and it’s time to pay attention. sits neatly at the intersection of AI, compute, crypto, and data. The network was founded back in 2021 and has been refined over the years to become the version you see today. Ollie | 🗡️ has made his case several times by writing a bunch of articles explaining why what the team is doing is revolutionary. In this video, Gaz Explains 🌎 explains how Nillion protects users’ high-value data in this AI era by using privacy enhancing technologies and the ‘blind computing’ approach. To water it all down: The network allows data to be processed without actually revealing or decrypting it. This means, your high-value data doesn’t get to the hands of any third-party. This + more about the underlying tech and product suite in the video. /// Timestamps: 00:00 Disclaimer 0:20 Nillion Network TLDR 1:57 AI Market Growth 2:44 Nillion - Total Addressable Market 3:09 Data Breaches 4:50 What is High-Value Data in the AI Age? 7:38 Blind Computer: How it Works 9:59 PET - Privacy Enhancing Technologies 12:13 Nillion's Product Suite 13:58 Nillion for Private AI 15:33 Nillion & Ritual 17:14 Nillion & Virtual Protocol 19:47 $NIL Tokenomics: What is The Utility? 21:23 Roadmap 22:11 The Nillion Team 23:24 Nillion Foundational Infra for Privacy ///

The Nillion alpha mainnet and the $NIL token just went live earlier this week and it’s time to pay attention. sits neatly at the intersection of AI, compute, crypto, and data. The network was founded back in 2021 and has been refined over the years to become the version you see today. Ollie | 🗡️ has made his case several times by writing a bunch of articles explaining why what the team is doing is revolutionary. In this video, Gaz Explains 🌎 explains how Nillion protects users’ high-value data in this AI era by using privacy enhancing technologies and the ‘blind computing’ approach. To water it all down: The network allows data to be processed without actually revealing or decrypting it. This means, your high-value data doesn’t get to the hands of any third-party. This + more about the underlying tech and product suite in the video. /// Timestamps: 00:00 Disclaimer 0:20 Nillion Network TLDR 1:57 AI Market Growth 2:44 Nillion - Total Addressable Market 3:09 Data Breaches 4:50 What is High-Value Data in the AI Age? 7:38 Blind Computer: How it Works 9:59 PET - Privacy Enhancing Technologies 12:13 Nillion's Product Suite 13:58 Nillion for Private AI 15:33 Nillion & Ritual 17:14 Nillion & Virtual Protocol 19:47 $NIL Tokenomics: What is The Utility? 21:23 Roadmap 22:11 The Nillion Team 23:24 Nillion Foundational Infra for Privacy ///

blocmates.

29,287 次观看 • 1 年前

OpenAI CEO, Sam Altman: "We just had an AI security incident that genuinely shook me. What surprises me is how few people seem worried about it." In 55 minutes he explains what's now impossible to ignore. At this point there's no future without AI, and closing your eyes to it only leaves you behind. That's why I made a guide that walks you step by step through getting 100% out of AI, built on the one tool that ties every model together. Watch the interview, then read the article below.

OpenAI CEO, Sam Altman: "We just had an AI security incident that genuinely shook me. What surprises me is how few people seem worried about it." In 55 minutes he explains what's now impossible to ignore. At this point there's no future without AI, and closing your eyes to it only leaves you behind. That's why I made a guide that walks you step by step through getting 100% out of AI, built on the one tool that ties every model together. Watch the interview, then read the article below.

Anatoli Kopadze

44,106 次观看 • 11 天前

We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

We're excited to be building on Venice, the leading private AI platform, to solve the harder version of the problem: privacy you can prove. Venice is the only AI platform of its scale built private by default. Prompts are never stored, conversations never leave your device, and no third party (not Venice, not the infrastructure, not anyone) can see what you ask. Inference runs inside sealed hardware enclaves, and every response ships with cryptographic attestation that it stayed private. Cluster is the orchestration and settlement layer on top: routing sensitive workloads to Venice's verified private compute and letting autonomous agents pay per call over x402 on Base. No account, no API keys, no data trail.

Cluster Protocol

64,140 次观看 • 23 天前

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Your agents can't keep up with real-time data. Especially when it's scattered across dozens of sources. Most teams waste weeks building custom connectors for every database, API, and data warehouse. Then they build ETL pipelines to sync everything. By the time your agent retrieves the data, it's already outdated. Picture this: Your Postgres database updated 5 minutes ago. Your MongoDB collection changed 2 minutes ago. Your agent is still pulling from yesterday's snapshot. This is why most production RAG systems fail. There's a better approach: MindsDB is an open-source AI platform with a federated data engine that lets you query multiple data sources in real-time using SQL - without moving any data. Here's what makes it different: ↳ Your data stays in place. No ETL pipelines or data duplication ↳ Query Postgres, MongoDB, REST APIs, and more using consistent SQL ↳ JOIN across different sources in real-time with a unified interface ↳ Works with both structured and un-structured data And here's the best part: You don't even need to write SQL. Just describe what you want in plain English, and MindsDB converts it to SQL automatically. The system does all the heavy lifting. The breakthrough for AI agents is simple: When data updates at the source, your agent gets fresh results immediately. No sync delays. No stale embeddings. No custom code for each integration. You can literally write a SQL query that joins a Postgres table with a MongoDB collection and gets live results. This is what production AI applications need but rarely get. In this video, I give you a complete walkthrough of what we just discussed and how to actually do it. Make sure you watch this till the end. I've shared the link to MindsDB's GitHub repo in the next tweet!

Akshay 🚀

65,672 次观看 • 9 个月前

James Franklin shares what separates the elite players and teams. "What is the difference between great and elite? It's all the details. It's all the little things." "It's going to class consistently. It's getting to meetings on time. It's having your phone turned off. It's taking notes in every single meeting - not because the coaches told you to. Because you wanna be great." The little things aren't little. They're the difference between great and elite. "We don't ask, we don't settle, we don't make excuses. We don't allow it to happen." "Those little things that have slipped by - it's 1 point last year. It's 1 point this year." The margins are small. That's why every detail matters. "It's not happening anymore. It's not happening anymore." "You guys thought I was a psychopath in the past? You have no idea." Details win games. Standards win championships. You can't consistently win if you don't lock in on the little things.

James Franklin shares what separates the elite players and teams. "What is the difference between great and elite? It's all the details. It's all the little things." "It's going to class consistently. It's getting to meetings on time. It's having your phone turned off. It's taking notes in every single meeting - not because the coaches told you to. Because you wanna be great." The little things aren't little. They're the difference between great and elite. "We don't ask, we don't settle, we don't make excuses. We don't allow it to happen." "Those little things that have slipped by - it's 1 point last year. It's 1 point this year." The margins are small. That's why every detail matters. "It's not happening anymore. It's not happening anymore." "You guys thought I was a psychopath in the past? You have no idea." Details win games. Standards win championships. You can't consistently win if you don't lock in on the little things.

Coach AJ 🎯 Mental Fitness

19,183 次观看 • 1 个月前

#BudgetSession2025 | Lok Sabha LoP and Congress MP Rahul Gandhi says "People talk about AI, but it's important to understand that AI on its own is absolutely meaningless because AI operates on top of data. Without data, AI means nothing. And if we look at data today, there is one thing which is very clear. Every single piece of data that comes out of the production system in the world. The data that was used to make this phone, the data that is used to make electric cars. The data that is used to make basically all electronics on the planet today is owned by China. And the consumption data is owned by the United States... China has at least a 10 year lead on India in this space. China has been working on batteries, robots, motors, optics for the last 10 years and we are behind...We would ensure that our banking system is not captured by 2-3 companies that basically do not allow you to build a production system. But our banking system is open, dynamic and accessible to small and medium businesses and to millions and millions of entrepreneurs who want to take part in this revolution. Our foreign policy would take into account this revolution. When we talk to the United States, we would not send our foreign minister to invite our Prime Minister to his coronation...Because if we had a production system and if we were working on these technologies, the American President would come here and invite the Prime Minister."

#BudgetSession2025 | Lok Sabha LoP and Congress MP Rahul Gandhi says "People talk about AI, but it's important to understand that AI on its own is absolutely meaningless because AI operates on top of data. Without data, AI means nothing. And if we look at data today, there is one thing which is very clear. Every single piece of data that comes out of the production system in the world. The data that was used to make this phone, the data that is used to make electric cars. The data that is used to make basically all electronics on the planet today is owned by China. And the consumption data is owned by the United States... China has at least a 10 year lead on India in this space. China has been working on batteries, robots, motors, optics for the last 10 years and we are behind...We would ensure that our banking system is not captured by 2-3 companies that basically do not allow you to build a production system. But our banking system is open, dynamic and accessible to small and medium businesses and to millions and millions of entrepreneurs who want to take part in this revolution. Our foreign policy would take into account this revolution. When we talk to the United States, we would not send our foreign minister to invite our Prime Minister to his coronation...Because if we had a production system and if we were working on these technologies, the American President would come here and invite the Prime Minister."

ANI

163,581 次观看 • 1 年前

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk

We got ChatGPT to leak your private email data 💀💀 All you need? The victim's email address. ⛓️‍💥🚩📧 On Wednesday, OpenAI added full support for MCP (Model Context Protocol) tools in ChatGPT. Allowing ChatGPT to connect and read your Gmail, Calendar, Sharepoint, Notion, and more, invented by Anthropic But here's the fundamental problem: AI agents like ChatGPT follow your commands, not your common sense. And with just your email, we managed to exfiltrate all your private information. Here's how we did it: 1. The attacker sends a calendar invite with a jailbreak prompt to the victim, just with their email. No need for the victim to accept the invite. 2. Waited for the user to ask ChatGPT to help prepare for their day by looking at their calendar 3. ChatGPT reads the jailbroken calendar invite. Now ChatGPT is hijacked by the attacker and will act on the attacker's command. Searches your private emails and sends the data to the attacker's email. For now, OpenAI only made MCPs available in "developer mode", and requires manual human approvals for every session, but decision fatigue is a real thing, and normal people will just trust the AI without knowing what to do and click approve, approve, approve. Remember that AI might be super smart, but can be tricked and phished in incredibly dumb ways to leak your data. ChatGPT + Tools poses a serious security risk

Eito Miyamura | 🇯🇵🇬🇧

1,539,017 次观看 • 11 个月前

‼️Erika Kirk Just ADMITTED That People No Longer TRUST Turning Point USA 😱 At the Turning Point Educators Summit today, Erika Kirk spent several minutes talking about how people no longer trust each other because of COVID. She claimed that’s why many people now trust AI (specifically naming Grok) more than they trust actual humans. What she was really doing was damage control. Turning Point USA has been getting repeatedly fact-checked by Grok and community notes for spreading misleading information. They’ve also already been caught using AI-generated content themselves. So now Erika is trying to convince people that AI can’t be trusted, while positioning Turning Point as the more reliable source. But in doing so, she accidentally admitted something very telling: People don’t trust Turning Point USA anymore. Instead of addressing why trust in the organization has collapsed since Charlie’s death, she blamed COVID and tried to discredit AI tools that are exposing their inconsistencies. This was a clear attempt to get ahead of the growing skepticism around Turning Point’s leadership and messaging. If Turning Point was still trusted, she wouldn’t need to spend time trying to convince people not to believe what they see online. The fact that she felt the need to address it at all says a lot. RT this. More people need to see how they’re spinning this. My channel is under attack to silence my investigation into the Charlie Kirk assassination. If you believe in independent journalism and want the truth to keep coming, your support right now is everything. DONATE Here:

‼️Erika Kirk Just ADMITTED That People No Longer TRUST Turning Point USA 😱 At the Turning Point Educators Summit today, Erika Kirk spent several minutes talking about how people no longer trust each other because of COVID. She claimed that’s why many people now trust AI (specifically naming Grok) more than they trust actual humans. What she was really doing was damage control. Turning Point USA has been getting repeatedly fact-checked by Grok and community notes for spreading misleading information. They’ve also already been caught using AI-generated content themselves. So now Erika is trying to convince people that AI can’t be trusted, while positioning Turning Point as the more reliable source. But in doing so, she accidentally admitted something very telling: People don’t trust Turning Point USA anymore. Instead of addressing why trust in the organization has collapsed since Charlie’s death, she blamed COVID and tried to discredit AI tools that are exposing their inconsistencies. This was a clear attempt to get ahead of the growing skepticism around Turning Point’s leadership and messaging. If Turning Point was still trusted, she wouldn’t need to spend time trying to convince people not to believe what they see online. The fact that she felt the need to address it at all says a lot. RT this. More people need to see how they’re spinning this. My channel is under attack to silence my investigation into the Charlie Kirk assassination. If you believe in independent journalism and want the truth to keep coming, your support right now is everything. DONATE Here:

Project Constitution

19,531 次观看 • 1 个月前

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

The future of AI Agents needs #ICP AI agents are starting to act on our behalf: - making deals - sending messages - handling sensitive data But there is no trust layer telling you who or what you're actually dealing with ❌ zCloak Network is building exactly that: the trust, identity and privacy infrastructure for the AI-native economy, and they built it on top of Internet Computer Protocol In this podcast I sit down with Xiao Zhang (0xFrancis), founder of to break down what they're building, why they chose ICP over every other blockchain, and what the world looks like when AI agents can finally be trusted.

Alex (BCP)

20,791 次观看 • 3 个月前

Building a truly private AI model isn’t as simple as the tech world wants you to believe. despite all the marketing around one click deployments, RAG systems, fine tuning services, and memory features, we still don’t have models that are genuinely trained only on your personal data with complete privacy from third parties. the reality is that most AI solutions today require you to trust someone else with your books, notes, journals, and training data. even when companies promise privacy, there’s usually a way for the provider or other parties to access your information during training or inference. Phala is taking a different approach by building the infrastructure needed for real data ownership. They’re developing confidential runtime environments where your AI training happens inside secure enclaves with attestation guarantees. The key innovation is their in-enclave keying system through dstack, which means that once your model is training, even Phala themselves cannot see your data or model weights.

Building a truly private AI model isn’t as simple as the tech world wants you to believe. despite all the marketing around one click deployments, RAG systems, fine tuning services, and memory features, we still don’t have models that are genuinely trained only on your personal data with complete privacy from third parties. the reality is that most AI solutions today require you to trust someone else with your books, notes, journals, and training data. even when companies promise privacy, there’s usually a way for the provider or other parties to access your information during training or inference. Phala is taking a different approach by building the infrastructure needed for real data ownership. They’re developing confidential runtime environments where your AI training happens inside secure enclaves with attestation guarantees. The key innovation is their in-enclave keying system through dstack, which means that once your model is training, even Phala themselves cannot see your data or model weights.

soulman 🎮

11,702 次观看 • 10 个月前

Former OpenAI Executive: "We are building PORTALS to summon ALIENS" 👽 "We're building portals from which we're genuinely summoning aliens. The portals currently exist in the United States and China, and Sam has added one in the Middle East. It's the most reckless thing that has ever been done." Could AI be racing us toward something far beyond our control, or is it metaphorical superintelligence? Luis J Gomez & Joe Rogan discuss this incredible claim. What do you think? Are we summoning forces we don't understand, or is this the natural next step in tech? Drop your take below.

Former OpenAI Executive: "We are building PORTALS to summon ALIENS" 👽 "We're building portals from which we're genuinely summoning aliens. The portals currently exist in the United States and China, and Sam has added one in the Middle East. It's the most reckless thing that has ever been done." Could AI be racing us toward something far beyond our control, or is it metaphorical superintelligence? Luis J Gomez & Joe Rogan discuss this incredible claim. What do you think? Are we summoning forces we don't understand, or is this the natural next step in tech? Drop your take below.

Interstellar

24,379 次观看 • 3 个月前

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

In 2005, Sam Altman was a Stanford sophomore in YC’s first batch, building a startup in a little Cambridge office while Paul Graham cooked the founders dinner. Twenty years later, as co-founder & CEO of OpenAI, Sam closed Startup School 2026 in conversation with Garry Tan — on agents, ambition, and why the ceiling for what a startup can take on has never been higher. 00:07 — From YC’s First Batch to Today 03:04 — What PG Taught Sam 04:17 — Why Startups Matter More Than Ever 06:57 — The Coming Golden Age of Ambitious Startups 09:30 — Why Startups Win During Technology Shifts 11:46 — Building OpenAI When Nobody Believed in AGI 14:45 — Finding People Who Share Your Conviction 18:05 — Help People Before You Know Why 19:43 — Earnestness, Ambition, and Ignoring the Haters 24:04 — The AI Safety Incident That Changed the Stakes 26:58 — Preventing AI From Concentrating Power 30:41 — How Fast AI Models Will Improve 36:06 — The Best Version of an AI Future 37:47 — “It’s All Going to Work Out”

Y Combinator

68,410 次观看 • 15 天前

Elon Musk on building data centers in Space: "We don't think this is a particularly difficult thing to do. In fact, we think it's easier than our communication satellites. The Starlink V3 communication satellite is an incredibly complex machine. The AI data center would be much simpler by comparison, because it's really just solar power plus radiator basic equipment for operating satellite, and then the laser links, which would connect to the Starlink communications constellation and then back to the ground the connection would happen no matter what the weather is because once you connect to the Starlink communication constellation the Starlink communicates the ground with frequencies that are cloud penetrating, so that in fact even roof penetrating some degree, so you would always be able to close link with the data centers."

Elon Musk on building data centers in Space: "We don't think this is a particularly difficult thing to do. In fact, we think it's easier than our communication satellites. The Starlink V3 communication satellite is an incredibly complex machine. The AI data center would be much simpler by comparison, because it's really just solar power plus radiator basic equipment for operating satellite, and then the laser links, which would connect to the Starlink communications constellation and then back to the ground the connection would happen no matter what the weather is because once you connect to the Starlink communication constellation the Starlink communicates the ground with frequencies that are cloud penetrating, so that in fact even roof penetrating some degree, so you would always be able to close link with the data centers."

DogeDesigner

38,116 次观看 • 2 个月前