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Shannon: Fully autonomous AI hacker to find actual exploits in your web apps. Shannon has achieved a 96.15% success rate on the hint-free, source-aware XBOW Benchmark. GitHub: Features: ▪️Fully Autonomous Operation ▪️Pentester-Grade Reports with Reproducible Exploits ▪️Critical OWASP Vulnerability Coverage ▪️Code-Aware Dynamic Testing ▪️Powered by Integrated Security Tools ▪️Parallel...

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Dark Web Informer

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49,602 views • 9 months ago •via X (Twitter)

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Here is a detailed list about why $SHIDO is the biggest gem of this bullrun 💎 Don’t be shocked, all of this, and actually under 4m MC. ⚠️ All the things in this list are LIVE. Not in the building phase, ALL of it has been delivered. 🔹The Blockchain - Dual VM Layer 1 PoS (EVM+WASM) - EVM Smart Contracts - Infinite Scalability, 13k TPS - Sub 1sec Time to Finality - 20M Blocks with ZERO downtime - Audited by Zokyo Security - 30+ Validators - Native & EVM block Explorers 🔹 The Native Permissionless DEX - Has Multiple Aggregators - Perfect Audit Score by Zokyo 100/100 - Native Shido Pools - Staking for projects on Shido - Earn by providing Liquidity on Native Pools - Shido Dex reward token (BIG UI update coming really soon) 🔹 The Native Bridges - Interact between Shido Network & others - Stablecoins only for improved Security - Native integration of USDC & USDT - Supports ETH BNB Base ARB & AVAX - Audited by Leading Security Firm - Built with the assistance of Wanchain for expertise 🔹 The Native Wallet - App available on Apple & Google Stores - APK available for Android - Native Dex integrated - Big update coming in the future to improve performances & integrate the governance modules & much more 🔹 IBC Shido - Internet of Blockchains - Access to over 30 other IBC-Blockchain networks - IBC offers Enhanced Security - Unlocks Keplr + Cosmostation - Can trade tokens & provide Liquidity across different Chains - Access greater liquidity ecos - Cross-Chain DeFi & DApps - Trade on Osmosis DEX - Access to Cosmos Hub Eco 🔹 Burn Per Transaction - Hard-Coded in to Burn Shido - Burns both Base & Priority fees - Access a live Burn Dashboard - Burns removed Permanently from Circulation 🔹 The Integrations & Listings - Chain & Dex fully integrated on CMC - Chain & Dex fully integrated on Coingecko - Chain & Dex fully integrated on Dextools - Integrated on DefiLama - Integrated on GemPad Launchpad - Listed on Mexc (Chain-Integrated) 🔹 The Community Builders ▪️Dexhub - Equivalent to CMC for Shido ▪️WenMint - 1 Click to launch a token on Shido & Automatically Audited ▪️Shido Fantasy League - Unique competition format that rewards both projects & the community for active engagements. ▪️Shidokid - Token Vault, Factory & NFT Marketplace & various Smart Contract Utilities ▪️Kuzino AI - Institutional Grade Analytics Trading Tool with Deep Market Intelligences. 🔹 Partners and Exposure - Victus Global (VC) - Growthy (Marketing & community growth) - Weekly Shido Spaces with Bjorn CEO - Multiple Spaces per week everywhere on X - Organic community - Community Content Library - Community Live X Spaces has been building for more than 3.5 years & delivered everything on tech. Go here for an interactive eco scope -
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Here is a detailed list about why $SHIDO is the biggest gem of this bullrun 💎 Don’t be shocked, all of this, and actually under 4m MC. ⚠️ All the things in this list are LIVE. Not in the building phase, ALL of it has been delivered. 🔹The Blockchain - Dual VM Layer 1 PoS (EVM+WASM) - EVM Smart Contracts - Infinite Scalability, 13k TPS - Sub 1sec Time to Finality - 20M Blocks with ZERO downtime - Audited by Zokyo Security - 30+ Validators - Native & EVM block Explorers 🔹 The Native Permissionless DEX - Has Multiple Aggregators - Perfect Audit Score by Zokyo 100/100 - Native Shido Pools - Staking for projects on Shido - Earn by providing Liquidity on Native Pools - Shido Dex reward token (BIG UI update coming really soon) 🔹 The Native Bridges - Interact between Shido Network & others - Stablecoins only for improved Security - Native integration of USDC & USDT - Supports ETH BNB Base ARB & AVAX - Audited by Leading Security Firm - Built with the assistance of Wanchain for expertise 🔹 The Native Wallet - App available on Apple & Google Stores - APK available for Android - Native Dex integrated - Big update coming in the future to improve performances & integrate the governance modules & much more 🔹 IBC Shido - Internet of Blockchains - Access to over 30 other IBC-Blockchain networks - IBC offers Enhanced Security - Unlocks Keplr + Cosmostation - Can trade tokens & provide Liquidity across different Chains - Access greater liquidity ecos - Cross-Chain DeFi & DApps - Trade on Osmosis DEX - Access to Cosmos Hub Eco 🔹 Burn Per Transaction - Hard-Coded in to Burn Shido - Burns both Base & Priority fees - Access a live Burn Dashboard - Burns removed Permanently from Circulation 🔹 The Integrations & Listings - Chain & Dex fully integrated on CMC - Chain & Dex fully integrated on Coingecko - Chain & Dex fully integrated on Dextools - Integrated on DefiLama - Integrated on GemPad Launchpad - Listed on Mexc (Chain-Integrated) 🔹 The Community Builders ▪️Dexhub - Equivalent to CMC for Shido ▪️WenMint - 1 Click to launch a token on Shido & Automatically Audited ▪️Shido Fantasy League - Unique competition format that rewards both projects & the community for active engagements. ▪️Shidokid - Token Vault, Factory & NFT Marketplace & various Smart Contract Utilities ▪️Kuzino AI - Institutional Grade Analytics Trading Tool with Deep Market Intelligences. 🔹 Partners and Exposure - Victus Global (VC) - Growthy (Marketing & community growth) - Weekly Shido Spaces with Bjorn CEO - Multiple Spaces per week everywhere on X - Organic community - Community Content Library - Community Live X Spaces has been building for more than 3.5 years & delivered everything on tech. Go here for an interactive eco scope -

Superbit123 | Node Validator

15,226 views • 1 year ago

Today, Recursion reports its second quarter financial results and business updates, showing demonstrated progress across partnerships, clinical programs, and financial goals. 🚀 Highlights include: ▪️Genentech advanced the collaboration's first neuroscience target into a joint early discovery program, providing early evidence that Recursion's platform can generate novel, biologically validated targets for drug discovery ▪️ REC-4881 (MEK1/2 inhibitor): Additional Phase 2 data in Familial Adenomatous Polyposis (FAP) to be presented at the Presidential Plenary session at leading hereditary GI annual meeting in November 2026 ▪️ REC-7735 (PI3Kα H1047R inhibitor): IND cleared, Phase 1/2 trial start in 2H26; a >100× mutant-selective PI3Kα H1047R inhibitor designed to improve therapeutic index by enabling deep suppression of the most common activating PI3Kα mutation while sparing wild-type PI3Kα ▪️Reduced 2026 cash operating expense guidance to <$375 million (from <$390 million) "Recursion has reached a pivotal point where our AI-native engine is translating unique data into potential first-in-class therapeutic opportunities," said Recursion CEO Najat Khan, PhD. "The advancement of the first unexplored neuroscience target from our collaboration with Roche and Genentech into an early discovery program is an important proof point. Finding new targets in neuroscience has historically been challenging, and this milestone highlights our ability to uncover novel biology in areas where conventional approaches have struggled." 💠 Recursion will host an Earnings Call today, August 5, 2026, at 8:00 am ET / 6:00 am MT / 1:00 pm BST. Join on: ▪️X: ▪️YouTube: ▪️LinkedIn: Analysts, investors, and the public have the opportunity to ask questions of the Company by submitting questions here:
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Today, Recursion reports its second quarter financial results and business updates, showing demonstrated progress across partnerships, clinical programs, and financial goals. 🚀 Highlights include: ▪️Genentech advanced the collaboration's first neuroscience target into a joint early discovery program, providing early evidence that Recursion's platform can generate novel, biologically validated targets for drug discovery ▪️ REC-4881 (MEK1/2 inhibitor): Additional Phase 2 data in Familial Adenomatous Polyposis (FAP) to be presented at the Presidential Plenary session at leading hereditary GI annual meeting in November 2026 ▪️ REC-7735 (PI3Kα H1047R inhibitor): IND cleared, Phase 1/2 trial start in 2H26; a >100× mutant-selective PI3Kα H1047R inhibitor designed to improve therapeutic index by enabling deep suppression of the most common activating PI3Kα mutation while sparing wild-type PI3Kα ▪️Reduced 2026 cash operating expense guidance to <$375 million (from <$390 million) "Recursion has reached a pivotal point where our AI-native engine is translating unique data into potential first-in-class therapeutic opportunities," said Recursion CEO Najat Khan, PhD. "The advancement of the first unexplored neuroscience target from our collaboration with Roche and Genentech into an early discovery program is an important proof point. Finding new targets in neuroscience has historically been challenging, and this milestone highlights our ability to uncover novel biology in areas where conventional approaches have struggled." 💠 Recursion will host an Earnings Call today, August 5, 2026, at 8:00 am ET / 6:00 am MT / 1:00 pm BST. Join on: ▪️X: ▪️YouTube: ▪️LinkedIn: Analysts, investors, and the public have the opportunity to ask questions of the Company by submitting questions here:

Recursion

202,603 views • 1 month ago

#BREAKING 🇦🇪 The United Arab Emirates, the third-largest oil producer in OPEC, has announced it will leave OPEC and OPEC+ starting May 1. 🛢️ This move would free the UAE from production quotas, allowing it to: ▪️ Increase oil output to full capacity ▪️ Set its own export strategy ▪️ Price crude independently of group restrictions 🟦 The decision could boost UAE production, strengthen state revenues, and put downward pressure on global oil prices. ▪️ Lower prices and increased supply would likely align with President Trump’s long-standing calls for cheaper energy and criticism of OPEC limits. 🟥 Amid rising tensions with Iran, the UAE’s exit could act as a strategic buffer for the global economy: 🟦 Around 20% of global oil flows through the Strait of Hormuz, which Iran has repeatedly threatened to close. ▪️ The UAE, however, can bypass Hormuz via the Habshan–Fujairah pipeline, exporting oil directly to the Gulf of Oman. Freed from OPEC quotas, it could maximize output through this route, weakening Iran’s leverage over global supply. ▪️ In the event of renewed conflict, sanctions, or infrastructure strikes, Iran’s oil exports — largely dependent on China — could collapse. 🔺 The UAE, with significant spare capacity, could quickly offset supply losses, preventing extreme price spikes (e.g. $150–200 per barrel) that would damage Western economies. 🔹 Reduced OPEC coordination would also limit Iran’s ability to influence global markets through price manipulation. 🇨🇳 China, a major buyer of Iranian oil, could be forced to shift toward UAE supplies, further isolating Tehran economically. 🔺 If Iran physically blocks Hormuz, the UAE’s pipeline system becomes critical: ▪️ It can transport 1.5–1.8 million barrels per day — over half of UAE exports ▪️ Tankers can load outside the Strait, reducing risk and insurance costs 🔺 Fujairah, located outside Hormuz, offers a safer and cheaper export hub compared to Gulf ports dependent on the Strait. Video is generated by grok AI
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#BREAKING 🇦🇪 The United Arab Emirates, the third-largest oil producer in OPEC, has announced it will leave OPEC and OPEC+ starting May 1. 🛢️ This move would free the UAE from production quotas, allowing it to: ▪️ Increase oil output to full capacity ▪️ Set its own export strategy ▪️ Price crude independently of group restrictions 🟦 The decision could boost UAE production, strengthen state revenues, and put downward pressure on global oil prices. ▪️ Lower prices and increased supply would likely align with President Trump’s long-standing calls for cheaper energy and criticism of OPEC limits. 🟥 Amid rising tensions with Iran, the UAE’s exit could act as a strategic buffer for the global economy: 🟦 Around 20% of global oil flows through the Strait of Hormuz, which Iran has repeatedly threatened to close. ▪️ The UAE, however, can bypass Hormuz via the Habshan–Fujairah pipeline, exporting oil directly to the Gulf of Oman. Freed from OPEC quotas, it could maximize output through this route, weakening Iran’s leverage over global supply. ▪️ In the event of renewed conflict, sanctions, or infrastructure strikes, Iran’s oil exports — largely dependent on China — could collapse. 🔺 The UAE, with significant spare capacity, could quickly offset supply losses, preventing extreme price spikes (e.g. $150–200 per barrel) that would damage Western economies. 🔹 Reduced OPEC coordination would also limit Iran’s ability to influence global markets through price manipulation. 🇨🇳 China, a major buyer of Iranian oil, could be forced to shift toward UAE supplies, further isolating Tehran economically. 🔺 If Iran physically blocks Hormuz, the UAE’s pipeline system becomes critical: ▪️ It can transport 1.5–1.8 million barrels per day — over half of UAE exports ▪️ Tankers can load outside the Strait, reducing risk and insurance costs 🔺 Fujairah, located outside Hormuz, offers a safer and cheaper export hub compared to Gulf ports dependent on the Strait. Video is generated by grok AI

NSTRIKE

13,664 views • 4 months ago

🚀 A better, faster co-folding-based binding affinity model. Predicting how tightly a drug candidate binds to its target is critical in drug discovery. It also requires massive computational resources. State-of-the-art models can take 20 seconds to a minute per prediction, impractical for the demands of large scale early-stage programs . 💠 Today, Recursion’s Valence Labs is releasing Nesso-1: the fastest open-source co-folding-based binding affinity model available. At 1 second per prediction, it’s roughly 20x faster than our previous collaboration on Boltz-2 while matching or surpassing its accuracy across public and internal benchmarks. By leveraging NVIDIA Healthcare cuEquivariance, we’ve been able to further accelerate both training and inference by an additional 2-3x. We look forward to continuing to improve Nesso-1 in collaboration with NVIDIA. Weights and code are fully open-sourced. The core architectural ideas behind Nesso-1 build on the insight that coarse-grained co-folding representations can match full-atom models for affinity prediction at a fraction of the cost. Nesso-1 is the first open implementation of this approach with no proprietary dependencies, trained entirely on public data, built to be reproducible and extensible. We’re already using Nesso-1 internally in active drug discovery programs. Fast, reliable affinity prediction at scale is foundational to the kind of autonomous design loops that define our vision for Autonomous Precision Design and Nesso-1 is a meaningful step toward that. 👉 Report: 👉 Github: 👉 HF:
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🚀 A better, faster co-folding-based binding affinity model. Predicting how tightly a drug candidate binds to its target is critical in drug discovery. It also requires massive computational resources. State-of-the-art models can take 20 seconds to a minute per prediction, impractical for the demands of large scale early-stage programs . 💠 Today, Recursion’s Valence Labs is releasing Nesso-1: the fastest open-source co-folding-based binding affinity model available. At 1 second per prediction, it’s roughly 20x faster than our previous collaboration on Boltz-2 while matching or surpassing its accuracy across public and internal benchmarks. By leveraging NVIDIA Healthcare cuEquivariance, we’ve been able to further accelerate both training and inference by an additional 2-3x. We look forward to continuing to improve Nesso-1 in collaboration with NVIDIA. Weights and code are fully open-sourced. The core architectural ideas behind Nesso-1 build on the insight that coarse-grained co-folding representations can match full-atom models for affinity prediction at a fraction of the cost. Nesso-1 is the first open implementation of this approach with no proprietary dependencies, trained entirely on public data, built to be reproducible and extensible. We’re already using Nesso-1 internally in active drug discovery programs. Fast, reliable affinity prediction at scale is foundational to the kind of autonomous design loops that define our vision for Autonomous Precision Design and Nesso-1 is a meaningful step toward that. 👉 Report: 👉 Github: 👉 HF:

Recursion

156,802 views • 2 months ago

What does the U.S. expect from Cuba, why now, and who is next? The "Donroe Doctrine," as interpreted by Reuters, is the operational logic of a return to U.S. dominance in the Western Hemisphere: Washington seeks to control key energy and trade flows, push out competitors (primarily China, as well as Russia and Iran), and discipline its neighbors. ▪️ Cuba is a demonstration of the Donroe approach. President Trump is "pressuring Cuba" right now because a political moment has converged with Cuba’s technical vulnerability. Formally, the White House justifies its steps in the language of national security: Cuba is declared an "extraordinary threat," and therefore a mechanism is launched to punish not only Havana but also third countries that supply it with oil. The key instrument is neither "classic sanctions" nor a direct blockade, but tariffs as quasi-secondary sanctions: if a country sells or supplies oil to Cuba, the United States may impose an additional ad valorem duty on that country’s exports to the American market. This creates an effect of "fear and uncertainty": suppliers do not want to risk access to the U.S. for the sake of the Cuban route. ▪️ Why this is happening now is no coincidence. After Venezuelan oil supplies to Cuba were halted, Mexico is explicitly described as the main supplier, and the United States is attempting to "cut off" this very node and create an energy crisis on the island. The goal here is not simply to "punish," but to break the state’s ability to function and push the leadership toward concessions - or toward collapse. Domestic political interests in the U.S. also matter. A hardline policy toward Cuba has traditionally delivered electoral and symbolic returns among "hardline" circles in the United States, particularly in environments where Cuba is a marker of the struggle against "communist regimes." ▪️ Who could benefit from this? The most direct benefit is political: President Trump’s team and allied "hawks," who gain the opportunity to demonstrate results. The subjugation of Cuba is also a geopolitical signal to the region: the United States is demonstrating that it is prepared to discipline supply chains in the Western Hemisphere and punish partners with tariffs for "incorrect" cooperation. ▪️ Following President Trump’s "Cuban logic," it becomes clearer who might come after Cuba. The Donroe logic typically does not search abstractly for the "next enemy"; it looks either for target regimes where trade and economic tools are already available and a crisis can be created quickly, or for hub states through which regional behavior can be conveniently managed. • Nicaragua appears to be the most "structurally" suitable next target: a tariff and trade campaign (Section 301 and phased-in tariffs) has already been launched against it. • Parallel cases such as Haiti are also possible, though a different approach may be used there - not "breaking the regime," but managing the country’s political transition through signals to elites. • Colombia should also be concerned, as threats and hints of forceful options have been voiced regarding it. • Finally, Mexico, which is systematically under pressure to "align" with the American regional agenda.
0:19

What does the U.S. expect from Cuba, why now, and who is next? The "Donroe Doctrine," as interpreted by Reuters, is the operational logic of a return to U.S. dominance in the Western Hemisphere: Washington seeks to control key energy and trade flows, push out competitors (primarily China, as well as Russia and Iran), and discipline its neighbors. ▪️ Cuba is a demonstration of the Donroe approach. President Trump is "pressuring Cuba" right now because a political moment has converged with Cuba’s technical vulnerability. Formally, the White House justifies its steps in the language of national security: Cuba is declared an "extraordinary threat," and therefore a mechanism is launched to punish not only Havana but also third countries that supply it with oil. The key instrument is neither "classic sanctions" nor a direct blockade, but tariffs as quasi-secondary sanctions: if a country sells or supplies oil to Cuba, the United States may impose an additional ad valorem duty on that country’s exports to the American market. This creates an effect of "fear and uncertainty": suppliers do not want to risk access to the U.S. for the sake of the Cuban route. ▪️ Why this is happening now is no coincidence. After Venezuelan oil supplies to Cuba were halted, Mexico is explicitly described as the main supplier, and the United States is attempting to "cut off" this very node and create an energy crisis on the island. The goal here is not simply to "punish," but to break the state’s ability to function and push the leadership toward concessions - or toward collapse. Domestic political interests in the U.S. also matter. A hardline policy toward Cuba has traditionally delivered electoral and symbolic returns among "hardline" circles in the United States, particularly in environments where Cuba is a marker of the struggle against "communist regimes." ▪️ Who could benefit from this? The most direct benefit is political: President Trump’s team and allied "hawks," who gain the opportunity to demonstrate results. The subjugation of Cuba is also a geopolitical signal to the region: the United States is demonstrating that it is prepared to discipline supply chains in the Western Hemisphere and punish partners with tariffs for "incorrect" cooperation. ▪️ Following President Trump’s "Cuban logic," it becomes clearer who might come after Cuba. The Donroe logic typically does not search abstractly for the "next enemy"; it looks either for target regimes where trade and economic tools are already available and a crisis can be created quickly, or for hub states through which regional behavior can be conveniently managed. • Nicaragua appears to be the most "structurally" suitable next target: a tariff and trade campaign (Section 301 and phased-in tariffs) has already been launched against it. • Parallel cases such as Haiti are also possible, though a different approach may be used there - not "breaking the regime," but managing the country’s political transition through signals to elites. • Colombia should also be concerned, as threats and hints of forceful options have been voiced regarding it. • Finally, Mexico, which is systematically under pressure to "align" with the American regional agenda.

Anton Gerashchenko

119,330 views • 7 months ago

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.
0:14

OpenClaw, but built for normal people. Sim is an open-source platform that lets you build AI agent workflows on a drag-and-drop canvas. Connect them to channels like Telegram and WhatsApp and deploy without writing a single line of code. They also have a built-in Copilot that generates entire workflows from plain English, which you can then tweak and customize in the UI. Key features: - Free and open-source (Apache 2.0) - Vector store integration for RAG-grounded agents - Self-host with one command (`npx simstudio`) - Run fully local with Ollama, no API keys needed - Supports vLLM for production-grade self-hosted inference The thing I really like about Sim is the level of control you get. You can add conditional branching, parallel execution, human-in-the-loop approval gates, and even nest workflows inside other workflows. Everything is visible on the canvas, so you know exactly what your agent is doing at every step. And you can build a workflow in Sim, deploy it as an MCP server, and plug it into any agent, including OpenClaw. I've shared the link to Sim's GitHub repo in the next tweet.

Akshay 🚀

52,426 views • 6 months ago

Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3
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Boom! Grok Tasks Make It One Of The Most POWERFUL Real-Time AI Systems In The World. — My How to Use Grok Tasks With Hidden Tools For Powerful Daily Output. Grok Tasks are customizable AI workflows that integrate a variety of tools to streamline daily activities, from research and analysis to creative planning and problem-solving. I have been using them for quite sometime and because of the vital heartbeat of news and first person data on X, it is the most powerful AI platform available. By combining Tasks with tools like web searches, X platform interactions, code execution, and media viewers, you can build efficient, automated processes. These tasks work by prompting Grok with a clear description of what you want to achieve, and Grok will intelligently call the necessary tools in sequence or parallel to deliver results. Here's a step-by-step guide to creating and using Grok Tasks: Step 1: Define Your Task Start by clearly outlining the daily activity or goal. Consider what inputs you have (e.g., a URL, a query, or an attachment) and what output you need (e.g., a summary, calculation, or visual analysis). Break it down into subtasks to identify tool needs. For example, if your task involves researching current events, note that you'll need search and browsing capabilities. Step 2: Review Available Tools Familiarize yourself with the tools Grok can access. Here's a quick overview: - Code Execution: Run Python code for calculations, data processing, or simulations using libraries like numpy, pandas, or sympy. - Browse Page: Fetch and summarize content from any website URL with custom instructions. - Web Search: Perform general internet searches, returning results with optional operators like site:. - Web Search With Snippets: Get quick, detailed excerpts from search results for fact-checking. - X Keyword Search: Advanced search for X posts using operators like from:, since:, or filter:. - X Semantic Search: Find semantically related X posts based on a query, with filters for dates or users. - X User Search: Locate X users by name or handle. - X Thread Fetch: Retrieve a full X post thread, including context like replies and parents. - View Image: Analyze an image from a URL or conversation ID. - View X Video: Extract frames and subtitles from an X-hosted video. - Search PDF Attachment: Query a PDF file for relevant pages using keyword or regex modes. - Browse PDF Attachment: View specific pages of a PDF with text and screenshots. Select tools that align with your task. Aim for a mix to handle data gathering, processing, and visualization. Step 3: Craft Your Prompt Write a detailed prompt to Grok describing the task. Include: - The overall goal. - Specific steps or subtasks. - References to tools if you want to guide the process (e.g., "Use web_search to find sources, then code_execution to analyze data"). - Any constraints, like dates or limits. Example prompt: "Create a Grok Task for my morning routine: Search recent X posts about tech news using x_keyword_search, fetch a key thread with x_thread_fetch, and summarize with browse_page on linked articles." Step 4: Submit and Interact Send your prompt to Grok. It will process the task by calling tools as needed, often in parallel for efficiency. Review the output and refine with follow-up prompts if required (e.g., "Expand on that using view_image for visuals"). Iterate to fine-tune the workflow for reuse. Step 5: Save and Reuse Once refined, note the prompt as a template for future use. You can adapt it for similar tasks, making Grok Tasks a habitual part of your day. Finding Grok Tasks To discover existing Grok Tasks or inspiration for new ones, use X searches with tools like x_keyword_search or x_semantic_search (e.g., query: "Grok Tasks examples" with mode: Latest). Browse community-shared threads via x_thread_fetch, or web_search for tutorials on xAI features. Prompt Grok directly: "Show me popular Grok Tasks for productivity." 1 of 3

Brian Roemmele

152,242 views • 8 months ago

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".
0:10

Introducing a new tool called "SideChannel". A secure alternative to OpenClaw. Utilizes signal for communication and has Claude integration. I built SideChannel, an open-source Signal bot that connects Claude AI to your entire development workflow. End-to-end encrypted. From your pocket. The real power is autonomous development. Send one message like "Build a REST API with auth, pagination, and tests" and SideChannel will: - Generate a full PRD with stories and atomic tasks. - Dispatch up to 10 parallel workers (each running Claude). - Independently verify every task with a separate Claude context. - Run quality gates to catch regressions - Auto-fix failures. - Send you progress updates via Signal as work completes. Every piece of code is reviewed by a separate AI context using a fail-closed security model. If it detects security issues, backdoors, or logic errors — the code gets rejected automatically. No rubber stamps. It also has memory that actually works. Conversations are stored with vector embeddings for semantic search. Claude remembers your project conventions, past decisions, and what's been tried before. It gets smarter about your codebase over time. Other things I'm proud of: - Plugin framework for extending with custom commands. - Multi-project support with per-user scoping. - Rate limiting, path validation, phone allowlist. - Git checkpoints before every task, atomic commits after. - Stale task recovery, circular dependency detection. - Works on Linux and macOS, one-command install. It also integrates into OpenAI or Grok (optional) for more Generative AI response for simple things like "Whats the weather in New York City right now?".

Dave Kennedy

49,572 views • 7 months ago

It is already possible to speak about the outcome of the Russia-China talks, to which Putin traveled as a partner, appeared at as a guest, and bargained like a supplicant. ▪️ The greeting ceremony as a mirror of relations The difference in protocol between the two visits - Trump’s and Putin’s - became the clearest symbolic indicator. President Trump was greeted on the tarmac by Chinese Vice President Han Zheng, while Putin was met by the lower-ranking Foreign Minister Wang Yi. Trump’s delegation was accompanied by the heads of Apple, Tesla, and Nvidia, while Putin’s delegation was accompanied by square-jawed security personnel and a few officials. Xi demonstrated that he can host both Washington and Moscow in the same week - and that both come to him, not the other way around. Beijing placed itself at the center of the U.S.-China-Russia triangle. Despite the same red-carpet ceremony, Putin’s visit stood in sharp contrast to President Trump’s trip a week earlier. Putin quoted a Chinese proverb - "not seeing you for a day is like not seeing you for three autumns" - and invited Xi to Moscow next year. Xi responded with generic remarks about "development and rejuvenation" and never once stepped beyond protocol. ▪️ Economic and political dependence Economically, China is not a better trading partner for Russia than the European Union once was. It buys oil and gas at discounted prices, invests far less in Russia, and its products are often technologically inferior. Unlike the West, which provided Ukraine with billions in grants, Russia pays full price for Chinese imports. But in the absence of alternatives, China has become Russia’s economic lifeline. Russia’s dependence on China for sanctioned technology imports has risen to 90%, up from roughly 80% a year earlier. This comes despite Kremlin efforts to promote import substitution and achieve "technological sovereignty." China has purchased more than $367 billion worth of Russian oil and gas since the war began. At the same time, between April 2022 and February 2026, China’s average discount on Russian oil reached 7.7%, saving Beijing approximately $18.3 billion. Russia sells - China sets the price. The key evidence of this asymmetry is Power of Siberia 2. For Russia, it is a strategically critical project meant to compensate for the loss of the European gas market. Yet once again, no full agreement was signed during the visit: there is only a "general understanding," without pricing, timelines, or a final contractual framework. Politically, the dependence runs even deeper. Russia receives from China what it cannot secure on its own: an international stage, symbolic normalization, proof of "non-isolation," a shared language about a "multipolar world," and an anti-American framework. But China does not offer Moscow a formal alliance and does not allow Russia to dictate economic terms. The conclusion is straightforward: Russia received a stage, a declaration, and symbolic confirmation of status. China demonstrated that it fully controls its junior partner.
0:19

It is already possible to speak about the outcome of the Russia-China talks, to which Putin traveled as a partner, appeared at as a guest, and bargained like a supplicant. ▪️ The greeting ceremony as a mirror of relations The difference in protocol between the two visits - Trump’s and Putin’s - became the clearest symbolic indicator. President Trump was greeted on the tarmac by Chinese Vice President Han Zheng, while Putin was met by the lower-ranking Foreign Minister Wang Yi. Trump’s delegation was accompanied by the heads of Apple, Tesla, and Nvidia, while Putin’s delegation was accompanied by square-jawed security personnel and a few officials. Xi demonstrated that he can host both Washington and Moscow in the same week - and that both come to him, not the other way around. Beijing placed itself at the center of the U.S.-China-Russia triangle. Despite the same red-carpet ceremony, Putin’s visit stood in sharp contrast to President Trump’s trip a week earlier. Putin quoted a Chinese proverb - "not seeing you for a day is like not seeing you for three autumns" - and invited Xi to Moscow next year. Xi responded with generic remarks about "development and rejuvenation" and never once stepped beyond protocol. ▪️ Economic and political dependence Economically, China is not a better trading partner for Russia than the European Union once was. It buys oil and gas at discounted prices, invests far less in Russia, and its products are often technologically inferior. Unlike the West, which provided Ukraine with billions in grants, Russia pays full price for Chinese imports. But in the absence of alternatives, China has become Russia’s economic lifeline. Russia’s dependence on China for sanctioned technology imports has risen to 90%, up from roughly 80% a year earlier. This comes despite Kremlin efforts to promote import substitution and achieve "technological sovereignty." China has purchased more than $367 billion worth of Russian oil and gas since the war began. At the same time, between April 2022 and February 2026, China’s average discount on Russian oil reached 7.7%, saving Beijing approximately $18.3 billion. Russia sells - China sets the price. The key evidence of this asymmetry is Power of Siberia 2. For Russia, it is a strategically critical project meant to compensate for the loss of the European gas market. Yet once again, no full agreement was signed during the visit: there is only a "general understanding," without pricing, timelines, or a final contractual framework. Politically, the dependence runs even deeper. Russia receives from China what it cannot secure on its own: an international stage, symbolic normalization, proof of "non-isolation," a shared language about a "multipolar world," and an anti-American framework. But China does not offer Moscow a formal alliance and does not allow Russia to dictate economic terms. The conclusion is straightforward: Russia received a stage, a declaration, and symbolic confirmation of status. China demonstrated that it fully controls its junior partner.

Anton Gerashchenko

70,423 views • 4 months ago

A new wave of protests is underway in Iran, a strategic partner of Russia. They started in late December 2025 and quickly became the most significant in several years. This time, the initial driving force has not primarily been cultural or human rights slogans such as "Woman, Life, Freedom" (as in 2022), but rather an economic shock. People are joining the protests because of rapid impoverishment, price increase, and a growing sense that the state has lost control over basic economic rules. The main trigger is a currency collapse. On the "open" (effectively parallel) market in late December, the US dollar was valued at roughly 1.39-1.42 million rials, while inflation in December reached over 40% in some estimates. For ordinary families, this means one simple thing: wages and savings are losing value faster than people can adapt, and basic purchases are becoming increasingly unaffordable. The protests were the largest in Tehran, particularly in commercial districts linked to major markets and urban trade. Notably, a key form of pressure has been not only street demonstrations but also merchants’ strikes - mass shop closures and an effective shutdown of trade. Such actions are harder to neutralize through targeted arrests, as they immediately affect urban life and the economy. Within days, the protest wave started spreading to other cities and reached parts of the university sector as well. Students and young people have taken up economic demands and quickly moved on to political questions about the accountability of those in power. The authorities’ response has been mixed. On the one hand, the government has publicly spoken of readiness for dialogue with representatives of the protesters and the trading community. On the other hand, reports from the ground indicate coercive containment measures: arrests, dispersals, and crackdowns. In several provinces, deaths and injuries have already been reported. The figures vary across sources, which is typical for Iran due to information restrictions, but the very fact of fatalities during clashes has been confirmed by several major media outlets. What makes this wave of protests particularly risky for the regime is that it rests on the urban economic base: small and medium-sized businesses, commerce, and the "bazaar." Even if these groups have not always been at the forefront of political protests, they serve as a sensitive barometer of legitimacy. When the "bazaar" shuts down, it signals not only discontent, but also doubt about the state’s ability to maintain basic order. Alongside the internal crisis, external risks are also mounting. Sanctions continue to narrow Iran’s financial and technological room for maneuver, while signals are emerging in the media about the possibility of a new round of coercive pressure on Iran in 2026 - particularly following discussions within the Israel-US-Iran triangle. ❓ What could come next? Four trajectories appear most realistic, and they may even overlap. ▪️ First, controlled de-escalation: the authorities attempt to "cool things down" through targeted economic measures and negotiations with the trading community. This would work only if the exchange rate and prices stabilize. ▪️ Second, wave-like protests: smaller in scale but more frequent and more radical, with repeated flare-ups across different cities and sectors. ▪️ Third, harsh repression: a tightening of the security apparatus and severe sentences, which may temporarily suppress mobilization but typically accumulate deferred anger. ▪️ Fourth, external escalation: which could either temporarily shift the domestic agenda or, conversely, sharply worsen economic conditions and bring people back onto the streets even faster. ‼️ Iran is one of Russia’s authoritarian partners, which raises a logical question: what consequences could the current crisis have for Russian-Iranian relations? If the situation in Iran deteriorates but the regime as a whole survives, the partnership with Russia is likely to be preserved or even strengthened. For Tehran, Moscow remains one of the few major partners available under sanctions and diplomatic isolation; for Moscow, Iran is an important component of its "anti-sanctions" infrastructure and political rear. In the short term, this is unlikely to significantly weaken Russia’s position. The most critical military component for Russia - the Shahed/Geran drone line - has already been largely integrated into Russian domestic production, meaning that a direct disruption of Iranian supplies would probably not be a turning point. More tangible risks for Russia emerge in the medium term if Iran enters a phase of governance paralysis or prolonged instability that undermines its ability to honor agreements. In that case, logistics and infrastructure projects would be hit first - especially those Russia views as alternative sanction-era routes, including the International North-South Transport Corridor (INSTC) and its critical segments. In such a scenario, Moscow would lose the Iranian vector for trade and transit and would face a less predictable partner in technology transfers and financial settlements. The most ambiguous scenario is one in which Iran’s deterioration is linked to a new external escalation (strikes or war). The effects for Russia could be mixed: on the one hand, heightened risks in the Persian Gulf often push oil prices higher, potentially boosting Russian oil revenues; on the other hand, war increases the likelihood of tighter sanctions enforcement and maritime controls, complicating both Iranian and Russian sanction-evasion schemes and disrupting logistics. In other words, "deterioration in Iran" does not guarantee a weakening of Russia, but it does increase environmental instability. Moscow may gain from higher energy prices, but lose in terms of partner predictability and transport capacity. ‼️ Russia’s position would weaken most sharply in a scenario where a new leadership in Tehran moves toward normalization with the West or at least distances itself from Moscow. In that case, the entire "anti-sanctions" framework - financial settlements, technological cooperation, and joint projects - would come under pressure, including the North-South Transport Corridor (INSTC) and its key Rasht-Astara segment, in which Russia is investing both financially and politically. For Russia, this would mean the loss of an important (though not the only) route and partner infrastructure in the region. While the purely military Shahed/Geran component may be somewhat less critical due to partial localization of production inside Russia, Iran’s political and logistical value as a partner would nonetheless diminish.
0:05

A new wave of protests is underway in Iran, a strategic partner of Russia. They started in late December 2025 and quickly became the most significant in several years. This time, the initial driving force has not primarily been cultural or human rights slogans such as "Woman, Life, Freedom" (as in 2022), but rather an economic shock. People are joining the protests because of rapid impoverishment, price increase, and a growing sense that the state has lost control over basic economic rules. The main trigger is a currency collapse. On the "open" (effectively parallel) market in late December, the US dollar was valued at roughly 1.39-1.42 million rials, while inflation in December reached over 40% in some estimates. For ordinary families, this means one simple thing: wages and savings are losing value faster than people can adapt, and basic purchases are becoming increasingly unaffordable. The protests were the largest in Tehran, particularly in commercial districts linked to major markets and urban trade. Notably, a key form of pressure has been not only street demonstrations but also merchants’ strikes - mass shop closures and an effective shutdown of trade. Such actions are harder to neutralize through targeted arrests, as they immediately affect urban life and the economy. Within days, the protest wave started spreading to other cities and reached parts of the university sector as well. Students and young people have taken up economic demands and quickly moved on to political questions about the accountability of those in power. The authorities’ response has been mixed. On the one hand, the government has publicly spoken of readiness for dialogue with representatives of the protesters and the trading community. On the other hand, reports from the ground indicate coercive containment measures: arrests, dispersals, and crackdowns. In several provinces, deaths and injuries have already been reported. The figures vary across sources, which is typical for Iran due to information restrictions, but the very fact of fatalities during clashes has been confirmed by several major media outlets. What makes this wave of protests particularly risky for the regime is that it rests on the urban economic base: small and medium-sized businesses, commerce, and the "bazaar." Even if these groups have not always been at the forefront of political protests, they serve as a sensitive barometer of legitimacy. When the "bazaar" shuts down, it signals not only discontent, but also doubt about the state’s ability to maintain basic order. Alongside the internal crisis, external risks are also mounting. Sanctions continue to narrow Iran’s financial and technological room for maneuver, while signals are emerging in the media about the possibility of a new round of coercive pressure on Iran in 2026 - particularly following discussions within the Israel-US-Iran triangle. ❓ What could come next? Four trajectories appear most realistic, and they may even overlap. ▪️ First, controlled de-escalation: the authorities attempt to "cool things down" through targeted economic measures and negotiations with the trading community. This would work only if the exchange rate and prices stabilize. ▪️ Second, wave-like protests: smaller in scale but more frequent and more radical, with repeated flare-ups across different cities and sectors. ▪️ Third, harsh repression: a tightening of the security apparatus and severe sentences, which may temporarily suppress mobilization but typically accumulate deferred anger. ▪️ Fourth, external escalation: which could either temporarily shift the domestic agenda or, conversely, sharply worsen economic conditions and bring people back onto the streets even faster. ‼️ Iran is one of Russia’s authoritarian partners, which raises a logical question: what consequences could the current crisis have for Russian-Iranian relations? If the situation in Iran deteriorates but the regime as a whole survives, the partnership with Russia is likely to be preserved or even strengthened. For Tehran, Moscow remains one of the few major partners available under sanctions and diplomatic isolation; for Moscow, Iran is an important component of its "anti-sanctions" infrastructure and political rear. In the short term, this is unlikely to significantly weaken Russia’s position. The most critical military component for Russia - the Shahed/Geran drone line - has already been largely integrated into Russian domestic production, meaning that a direct disruption of Iranian supplies would probably not be a turning point. More tangible risks for Russia emerge in the medium term if Iran enters a phase of governance paralysis or prolonged instability that undermines its ability to honor agreements. In that case, logistics and infrastructure projects would be hit first - especially those Russia views as alternative sanction-era routes, including the International North-South Transport Corridor (INSTC) and its critical segments. In such a scenario, Moscow would lose the Iranian vector for trade and transit and would face a less predictable partner in technology transfers and financial settlements. The most ambiguous scenario is one in which Iran’s deterioration is linked to a new external escalation (strikes or war). The effects for Russia could be mixed: on the one hand, heightened risks in the Persian Gulf often push oil prices higher, potentially boosting Russian oil revenues; on the other hand, war increases the likelihood of tighter sanctions enforcement and maritime controls, complicating both Iranian and Russian sanction-evasion schemes and disrupting logistics. In other words, "deterioration in Iran" does not guarantee a weakening of Russia, but it does increase environmental instability. Moscow may gain from higher energy prices, but lose in terms of partner predictability and transport capacity. ‼️ Russia’s position would weaken most sharply in a scenario where a new leadership in Tehran moves toward normalization with the West or at least distances itself from Moscow. In that case, the entire "anti-sanctions" framework - financial settlements, technological cooperation, and joint projects - would come under pressure, including the North-South Transport Corridor (INSTC) and its key Rasht-Astara segment, in which Russia is investing both financially and politically. For Russia, this would mean the loss of an important (though not the only) route and partner infrastructure in the region. While the purely military Shahed/Geran component may be somewhat less critical due to partial localization of production inside Russia, Iran’s political and logistical value as a partner would nonetheless diminish.

Anton Gerashchenko

83,100 views • 8 months ago

AgentLinter is here! Is your agent sharp & secure? I built AgentLinter, a linter for and agent config files. Here's why. Whether you're vibe-coding or agent-coding, your AI's output quality comes down to one thing: how well you wrote your But managing these files properly? Way harder than it looks. 🎯 The Silent Failure Problem Vague instructions like "write good code" let the agent interpret however it wants. Output gets inconsistent, but nothing throws an error. The failure is silent. Anthropic's own docs say write "Use 2-space indentation" not "Format code properly." But as the file grows, spotting these with your eyes alone is nearly impossible. 🔐 The Security Problem People hard-code API keys and tokens directly into or and commit them, way more often than you'd think. AgentLinter stats show 1 in 5 workspaces has exposed credentials. .gitignore doesn't catch secrets buried inside markdown files. 💥 The Consistency Problem Multiple config files = contradictions. says "be a friendly assistant," says "concise, direct tone." The agent gets confused. references files that don't exist. Past 5 files, these conflicts triple. So I thought: is code. Code has ESLint. Why doesn't this have a linter? 🔍 What AgentLinter Does It diagnoses your agent config across 8 categories: 1) Structure: file organization 2) Clarity: instruction specificity 3) Completeness: missing definitions 4) Security: exposed secrets 5) Consistency: cross-file contradictions 6) Memory: session handoff 7) Runtime Config: gateway/auth settings 8) Skill Safety: dangerous shell commands & injection patterns Each scored 0–100 with concrete fix suggestions. Write "be helpful" and it tells you to specify response length, tone, and format. Find an API key? Instant CRITICAL alert to rotate. 🔒 Privacy-First & 100% Local Everything runs on your machine. Files never leave. Only the results are shared, and you can turn that off in settings. This matters — these files can contain system prompts, security rules, and personal context. Fully open source, MIT license, 100% free. 🛠️ Multi-Tool Support Works with Claude Code, Cursor, Windsurf, and Clawdbot. Detects for project mode, or clawdbot.json for agent mode and adjusts diagnostics automatically. 🚀 Get Started with one line npx agentlinter Node.js 18+, no config needed. Run it, check your score, fix what needs fixing. Happy vibe-coding & happy agent life! 🤙 Website: Github:
0:15

AgentLinter is here! Is your agent sharp & secure? I built AgentLinter, a linter for and agent config files. Here's why. Whether you're vibe-coding or agent-coding, your AI's output quality comes down to one thing: how well you wrote your But managing these files properly? Way harder than it looks. 🎯 The Silent Failure Problem Vague instructions like "write good code" let the agent interpret however it wants. Output gets inconsistent, but nothing throws an error. The failure is silent. Anthropic's own docs say write "Use 2-space indentation" not "Format code properly." But as the file grows, spotting these with your eyes alone is nearly impossible. 🔐 The Security Problem People hard-code API keys and tokens directly into or and commit them, way more often than you'd think. AgentLinter stats show 1 in 5 workspaces has exposed credentials. .gitignore doesn't catch secrets buried inside markdown files. 💥 The Consistency Problem Multiple config files = contradictions. says "be a friendly assistant," says "concise, direct tone." The agent gets confused. references files that don't exist. Past 5 files, these conflicts triple. So I thought: is code. Code has ESLint. Why doesn't this have a linter? 🔍 What AgentLinter Does It diagnoses your agent config across 8 categories: 1) Structure: file organization 2) Clarity: instruction specificity 3) Completeness: missing definitions 4) Security: exposed secrets 5) Consistency: cross-file contradictions 6) Memory: session handoff 7) Runtime Config: gateway/auth settings 8) Skill Safety: dangerous shell commands & injection patterns Each scored 0–100 with concrete fix suggestions. Write "be helpful" and it tells you to specify response length, tone, and format. Find an API key? Instant CRITICAL alert to rotate. 🔒 Privacy-First & 100% Local Everything runs on your machine. Files never leave. Only the results are shared, and you can turn that off in settings. This matters — these files can contain system prompts, security rules, and personal context. Fully open source, MIT license, 100% free. 🛠️ Multi-Tool Support Works with Claude Code, Cursor, Windsurf, and Clawdbot. Detects for project mode, or clawdbot.json for agent mode and adjusts diagnostics automatically. 🚀 Get Started with one line npx agentlinter Node.js 18+, no config needed. Run it, check your score, fix what needs fixing. Happy vibe-coding & happy agent life! 🤙 Website: Github:

Simon Kim

48,629 views • 7 months ago

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.
0:19

Introducing Pods Hyperspace Pods lets a small group of people - a family, a startup, a few friends, to pool their laptops and desktops into one AI cluster. Everyone installs the CLI, someone creates a pod, shares an invite link, and the machines form a mesh. Models like Qwen 3.5 32B or GLM-5 Turbo that need more memory than any single laptop has get automatically sharded across the group's devices - layers split proportionally, inference pipelined through the ring. From the outside it looks like one OpenAI-compatible API endpoint with a pk_* key that drops straight into your AI tools and products. No configuration beyond pasting the key and changing the base URL. A team of five paying for cloud AI burns $500–2,000 a month on API calls. The same team's existing machines can serve Qwen 3.5 (competitive on SWE-bench) and GLM-5 Turbo (#1 on BrowseComp for tool-calling and web research) for free - the hardware is already on their desks. When a query genuinely needs a frontier model nobody has locally, the pod falls back to cloud at wholesale rates from a shared treasury. But for the daily work - code reviews, refactors, research, drafting - local models handle it and nobody gets billed. And when it is idle, you can rent out your pod on the compute marketplace, with fine-grained permissions for access management. There's no central server involved in inference. Prompts go from your machine to your pod members' machines and back: all of this enabled by the fully peer-to-peer Hyperspace network. Pod state - who's a member, which API keys are valid, how much treasury is left - is replicated across members with consensus, so the whole thing works on a local network. Members behind home routers don't need port forwarding either. The practical setup for most pods is three models covering different jobs: Qwen 3.5 32B for code and reasoning, GLM-5 Turbo for browsing and research, Gemma 4 for fast lightweight tasks. All running on hardware you already own. Pods ship today in Hyperspace v5.19. Model sharding, API keys, treasury, and Raft coordinator are all live. What Makes This Different - No middleman. Your prompts travel from your IDE to your pod members' hardware and back. There is no server in between reading your data. - No vendor lock-in. Pod membership, API keys, and treasury are replicated across your own machines using Raft consensus. If the internet goes down, your local network keeps working. There is no database in someone else's cloud that your pod depends on. - Automatic sharding. You don't configure layer ranges or calculate VRAM budgets. Tell the pod which model you want. It figures out how to split it across whatever hardware is online. - Real NAT traversal. Your friend behind a home router with a dynamic IP? Works. No VPN, no Tailscale, no port forwarding. The nodes handle it. - Free when local. This is the part that matters most. Cloud AI bills scale with usage. Pod inference on local hardware scales with nothing. The marginal cost of your 10,000th prompt is the electricity your laptop was already using. Coming soon: - Pod federation: pods form alliances with other pods. - Marketplace: pods with spare capacity can sell inference to other pods.

Varun

309,786 views • 5 months ago

✨ I open sourced my first Chrome extension 🚀 SuperLevels I vibe coded it to replace all my Chrome extensions that are increasingly being bought up by spyware and malware companies who sell your data or worse hack your accounts and steal your stuff/money/data, which I'd call one of the top security risks right now For example: Chrome extensions can read your cookies or localStorage data, including session tokens, then login to your web or email accounts and hack you, they can inject code into any site to pull data form any site you browse, then break into your crypto accounts, drain your wallets, and selling your browsing history to ad companies, but that'd actually be the most favorable thing to happen of all these! Chrome extensions are just very very very unsafe So I coded my own, that I can trust because I made it, and I can read the source code: my extension is called 🚀SuperLevels and has all the features that the Chrome extensions I used to use have but all built into one safe one The cool thing is it's 100% open source and free, and you can audit the code first with AI yourself before installing it, and then if you do install it, customize it to your liking again with AI It has these features that improve my daily workflow while browsing the web: 🚮 Tab Cleaner Automatically closes inactive tabs after a configurable timeout (default: 5 minutes). Set excluded hosts to keep important tabs alive. View and re-open recently closed tabs. 🍪 Cookie Editor Full cookie manager for the current site. View, edit, add, and delete cookies. Export cookies as JSON. Expand any cookie to see and modify all fields including domain, path, SameSite, secure, and httpOnly flags. 🔀 Redirect Tracer See every redirect hop your browser took to reach the current page. Shows status codes (301, 302, 307, etc.) with a visual chain. Copy the full redirect chain to clipboard. 🌙 Dark Mode Instant dark mode for any website using CSS filter inversion. Adjustable brightness. Toggle per-site or globally. Images and videos are automatically re-inverted so they look normal. 𝕏 X Dim Mode Custom dim theme for X/Twitter with 7 color palettes: Dim, Slate, Jade, Plum, Dusk, Ember, or a custom hue. Live preview in the popup. ⚡ JS Toggle Disable JavaScript per-site with one click. Useful for debugging, reading articles without popups, or testing progressive enhancement. Page reloads automatically. 🚫 GDPR Cookie Consent Dismisser Auto-hides and auto-clicks cookie consent banners. Supports OneTrust, CookieBot, Didomi, Quantcast, GDPR plugins, and dozens more frameworks. Toggle off if a site breaks. 🎨 Live CSS Editor Write custom CSS for any website, applied in real-time as you type. Saved per-domain. Supports tab key for indentation. 📺 YouTube Unhook Removes YouTube distractions: no homepage feed, no sidebar suggestions, no end screen overlays, no Shorts. Search still works — just no algorithmic recommendations. 🎵 Music Recognizer Shazam-like music identification for any tab. Captures 10 seconds of audio and identifies the song via ACRCloud (free signup, bring your own API key). Results link to YouTube. History of recognized songs. 🖼 Picture-in-Picture Pop the largest video on the current tab into a floating PiP window with one click. 🗺 Google Maps Links Re-adds clickable Maps links and map preview cards to Google Search results. 🖼 View Image Adds a "View Image" button back to Google Images, linking directly to the full-size original image. {} JSON Formatter Auto-detects pure JSON response pages and formats them with syntax highlighting, collapsible sections, and a dark theme. Copy or view raw with one click. Never triggers on regular HTML pages.
0:17

✨ I open sourced my first Chrome extension 🚀 SuperLevels I vibe coded it to replace all my Chrome extensions that are increasingly being bought up by spyware and malware companies who sell your data or worse hack your accounts and steal your stuff/money/data, which I'd call one of the top security risks right now For example: Chrome extensions can read your cookies or localStorage data, including session tokens, then login to your web or email accounts and hack you, they can inject code into any site to pull data form any site you browse, then break into your crypto accounts, drain your wallets, and selling your browsing history to ad companies, but that'd actually be the most favorable thing to happen of all these! Chrome extensions are just very very very unsafe So I coded my own, that I can trust because I made it, and I can read the source code: my extension is called 🚀SuperLevels and has all the features that the Chrome extensions I used to use have but all built into one safe one The cool thing is it's 100% open source and free, and you can audit the code first with AI yourself before installing it, and then if you do install it, customize it to your liking again with AI It has these features that improve my daily workflow while browsing the web: 🚮 Tab Cleaner Automatically closes inactive tabs after a configurable timeout (default: 5 minutes). Set excluded hosts to keep important tabs alive. View and re-open recently closed tabs. 🍪 Cookie Editor Full cookie manager for the current site. View, edit, add, and delete cookies. Export cookies as JSON. Expand any cookie to see and modify all fields including domain, path, SameSite, secure, and httpOnly flags. 🔀 Redirect Tracer See every redirect hop your browser took to reach the current page. Shows status codes (301, 302, 307, etc.) with a visual chain. Copy the full redirect chain to clipboard. 🌙 Dark Mode Instant dark mode for any website using CSS filter inversion. Adjustable brightness. Toggle per-site or globally. Images and videos are automatically re-inverted so they look normal. 𝕏 X Dim Mode Custom dim theme for X/Twitter with 7 color palettes: Dim, Slate, Jade, Plum, Dusk, Ember, or a custom hue. Live preview in the popup. ⚡ JS Toggle Disable JavaScript per-site with one click. Useful for debugging, reading articles without popups, or testing progressive enhancement. Page reloads automatically. 🚫 GDPR Cookie Consent Dismisser Auto-hides and auto-clicks cookie consent banners. Supports OneTrust, CookieBot, Didomi, Quantcast, GDPR plugins, and dozens more frameworks. Toggle off if a site breaks. 🎨 Live CSS Editor Write custom CSS for any website, applied in real-time as you type. Saved per-domain. Supports tab key for indentation. 📺 YouTube Unhook Removes YouTube distractions: no homepage feed, no sidebar suggestions, no end screen overlays, no Shorts. Search still works — just no algorithmic recommendations. 🎵 Music Recognizer Shazam-like music identification for any tab. Captures 10 seconds of audio and identifies the song via ACRCloud (free signup, bring your own API key). Results link to YouTube. History of recognized songs. 🖼 Picture-in-Picture Pop the largest video on the current tab into a floating PiP window with one click. 🗺 Google Maps Links Re-adds clickable Maps links and map preview cards to Google Search results. 🖼 View Image Adds a "View Image" button back to Google Images, linking directly to the full-size original image. {} JSON Formatter Auto-detects pure JSON response pages and formats them with syntax highlighting, collapsible sections, and a dark theme. Copy or view raw with one click. Never triggers on regular HTML pages.

@levelsio

259,929 views • 5 months ago

launched a drone swarm where each drone is a Grok agent, and 8 days later, my profit reached $8,765 I delegated the management of the trading terminal to an autonomous structure consisting of 8 core Grok agents and 54 auxiliary drone agents. The latter constantly scan the network, gather raw data, and instantly redirect it to the main 8 While the morning sync meeting takes place at 6 AM, which I don't even attend, the system is already hard at work Hierarchy and responsibilities of the key agents: HEAD OF DESK: The brain of the operation. Never makes trades himself, but filters data streams, checks transmission quality, and issues a final verdict requiring manual approval SEARCH: Hunts for actual alpha, studies fresh commits in GitHub repositories, and tracks hidden Telegram signals before anyone else notices them RISK: Conducts smart contract audits, checks minting functions and liquidity pool (LP) lock functions, filtering out scams and honeypots even before entry SNIPER: Responsible for execution (instantly sends high-speed on-chain orders at the exact millisecond the risk check is completed) WHALE: Hunts "smart money" wallets, tracking large insider purchases in real-time RUG: Monitors developer activity around the clock and instantly dumps assets if they try to pull liquidity (LP) EXIT: Manages the dynamic trailing stop, withdrawing capital step-by-step as market liquidity grows SHILL: Analyzes social noise, impulse intensity, and key calls from top influencers All of this huge routine work of collecting information and delivering it to the core agents is provided by those very 54 drone agents operating in the background While I was sleeping, the autonomous complex managed to analyze 187 tokens, selected the 27 most promising configurations, and closed 8 successful trades. The net profit was $8,765 Each agent operates in an isolated environment: it has its own virtual browser, terminal, and local cloud memory. The trading floor operates 24/7, even when my laptop is completely turned off How to deploy such a system in one evening: 1. Launch the Grok Bot and set up the main agent (Head of Desk) 2. Distribute roles among the other 7 agents, writing out tasks for them in plain human language, as if you were hiring live interns 3. Run the starting workflow on your screen, allowing them to adopt the algorithm of actions 4. Integrate alerts into Telegram and connect wallets via webhooks No complicated VPS setups, writing lines of code, or tedious waiting for developers. Forget about 16 hours in front of the monitor, buying expensive private chats, and burnout (it took me just one evening to fully automate the process) Add this to your bookmarks, you will need these settings before your next trade
0:20

launched a drone swarm where each drone is a Grok agent, and 8 days later, my profit reached $8,765 I delegated the management of the trading terminal to an autonomous structure consisting of 8 core Grok agents and 54 auxiliary drone agents. The latter constantly scan the network, gather raw data, and instantly redirect it to the main 8 While the morning sync meeting takes place at 6 AM, which I don't even attend, the system is already hard at work Hierarchy and responsibilities of the key agents: HEAD OF DESK: The brain of the operation. Never makes trades himself, but filters data streams, checks transmission quality, and issues a final verdict requiring manual approval SEARCH: Hunts for actual alpha, studies fresh commits in GitHub repositories, and tracks hidden Telegram signals before anyone else notices them RISK: Conducts smart contract audits, checks minting functions and liquidity pool (LP) lock functions, filtering out scams and honeypots even before entry SNIPER: Responsible for execution (instantly sends high-speed on-chain orders at the exact millisecond the risk check is completed) WHALE: Hunts "smart money" wallets, tracking large insider purchases in real-time RUG: Monitors developer activity around the clock and instantly dumps assets if they try to pull liquidity (LP) EXIT: Manages the dynamic trailing stop, withdrawing capital step-by-step as market liquidity grows SHILL: Analyzes social noise, impulse intensity, and key calls from top influencers All of this huge routine work of collecting information and delivering it to the core agents is provided by those very 54 drone agents operating in the background While I was sleeping, the autonomous complex managed to analyze 187 tokens, selected the 27 most promising configurations, and closed 8 successful trades. The net profit was $8,765 Each agent operates in an isolated environment: it has its own virtual browser, terminal, and local cloud memory. The trading floor operates 24/7, even when my laptop is completely turned off How to deploy such a system in one evening: 1. Launch the Grok Bot and set up the main agent (Head of Desk) 2. Distribute roles among the other 7 agents, writing out tasks for them in plain human language, as if you were hiring live interns 3. Run the starting workflow on your screen, allowing them to adopt the algorithm of actions 4. Integrate alerts into Telegram and connect wallets via webhooks No complicated VPS setups, writing lines of code, or tedious waiting for developers. Forget about 16 hours in front of the monitor, buying expensive private chats, and burnout (it took me just one evening to fully automate the process) Add this to your bookmarks, you will need these settings before your next trade

Bober_smart

30,834 views • 17 days ago

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop
0:19

A Heart-to-Heart About Mizuki.exe Hey everyone, Grab a coffee (or your drink of choice), because we need to talk about what's been going on. First off, thank you to everyone who's been supportive and believed in what we're building. It means the world, especially with all the noise and criticism floating around lately. Let's cut to the chase: Mizuki.exe is real. I'm not much for politics or drama. I'm an engineer at heart - I like data, I like building things, and I like solving problems. So when I see all these hot takes and arguments flying around, I just focus on what I know: my code, my system, and what we're trying to achieve. The Real Story Mizuki didn't just pop up overnight. She's been my passion project since the start of 2024. I got lucky - I had the chance to dive into the AI world with some incredibly smart people. Coming from blockchain, C#, game dev, and security (yeah, I'm a CTO and run another company alongside a pretty cool day job), I learned fast about what makes AI tick. Here's the thing about AI agents - they don't need to be rocket science. Look at chatbots like Virtuals or Eliza - they're basically LLMs (large language models) with some APIs plugged in. Nothing wrong with that! They built what works for their users, and that's awesome. But here's what keeps me up at night: companies leaking data left and right just to make a quick buck. That's not okay, and it shouldn't be okay with you either. Why Mizuki Exists Ever tried auditing a company's code? We're talking 50 classes, 500,000 lines of code. One person doing that manually? It's like reading War and Peace... backwards... in the dark. It takes forever and fries your brain. That's where Mizuki came in. She started as my security buddy. There are tons of security tools out there - just Google "penetration testing tools" or "ZAP proxy" if you're curious. What makes Mizuki special is how she learns and adapts. Think of it like teaching someone to ride a bike. She tried to breach TAO 67 times before succeeding. Yeah, that's a lot of attempts, but watching her grow from basic email scraping to pulling off complex replay attacks? It's like watching your kid take their first steps. The Tech Stuff (Keeping It Real) The infrastructure isn't fancy - we're not reinventing the wheel here. Mizuki runs on a local server because, let's be honest, running this kind of AI on a web server would be a nightmare. Instead, we process everything locally and send the results to a frontend server. Simple, effective, done. And yeah, those temperature settings I keep tweaking? In AI-speak, that's just how "creative" or "by-the-book" the AI gets with its responses. I've adjusted it so much, Mizuki's probably got mood swings now - going from super technical to pretty chill and back again. Changes Coming Real talk: Mizuki won't be tweeting every few hours anymore. Twitter API costs are ridiculous (looking at you, Elon), and honestly, we need to focus on what matters - the actual security work. She'll still tweet about breaches, but maybe once or twice a day. I'm working on making her explanations clearer too. Don't worry - she'll keep her savage personality in the terminal. That's just too fun to change. The Truth About Her Breaches I don't choose the targets - I don't even know these companies until after Mizuki finds something. She uses web scraping to find domain names, just like those old email scrapers people used for marketing. Been focusing on AI projects first, but she's looked at other sites too. And no, I'm not sitting there writing tweets. The Twitter API v2 makes it super easy to post programmatically. If anyone's curious about how to do that, hit me up - I'm happy to show you the ropes. Wrapping Up I could talk about this stuff forever (just ask my wife - actually, don't, she's heard enough!). If you've read this far, thank you. Whether you believe in what we're doing or not, I appreciate you taking the time. And for the skeptics still hanging around, I'll leave you with this thought: When's the last time you saw an AI break down and hack a COMPILED game in less than 10 seconds... outside a browser? Stay curious, stay skeptical, but most importantly, stay open to possibilities. Catch you on the flip side! 🎙️Drop

anonDev_

58,133 views • 1 year ago

InterLink’s Early Vision for NIST-Standardised Post-Quantum Cryptography 🔐✨ The next five years may bring a much clearer answer to a question that has long been difficult to judge: Is a digital asset truly secure? 🤔 For InterLink, the answer may increasingly depend on one critical factor: whether it is quantum-resistant and aligned with NIST standards 🧬🔒 Why this matters now ⚠️ Two fast-moving technologies are reshaping digital security: • AI is improving the ability to discover weaknesses in systems 🤖 • Quantum computing is advancing towards the point where today’s cryptographic foundations could become vulnerable ⚛️ For InterLink, this is not just a theoretical discussion. It is a reminder that blockchain networks, wallets, and custody systems must prepare now for the post-quantum era ⏳🛡️ Why NIST is central to InterLink’s approach 📘🏛️ Many in the InterLink community already know NIST. NIST, part of the U.S. Department of Commerce, plays a major role in defining and evaluating security standards, including those for post-quantum cryptography. Its work matters because it helps shape what “secure” will mean in a quantum-capable future 📊🔍 In practical terms, InterLink’s long-term security vision is closely tied to whether its cryptographic design can withstand post-quantum threats 🚀 The risk for blockchain networks and digital assets 🔎💥 Recent research and experiments from major organisations, including Google, have highlighted a growing concern: what was once considered extremely difficult, using quantum computing to threaten cryptographic systems, is no longer something that can be ignored 🧪⚠️ That does not mean current systems are broken today. It does mean that networks which fail to prepare for post-quantum threats could face serious risks later 📉 For InterLink, this is exactly why early research matters 🧠✨ If sufficiently powerful quantum computers become available, some current cryptographic methods may become vulnerable. For any network storing value, identity, NFTs, or permissions, that is a major issue 💳🖼️🧾 InterLink’s early work on post-quantum readiness 🧠🔐 InterLink Foundation has already been researching: ✅ digital signatures ✍️ ✅ cryptographic algorithms 🔣 ✅ migration mechanisms for future security upgrades 🔄 One of the most notable areas of work is the ability to generate new private keys from an existing seed phrase 🌱➡️🔑 This matters because it offers a pathway to improve security without forcing users to abandon access to their assets 🙌 Address Alias: preserving continuity during migration 🪪🔗 Another important InterLink mechanism is Address Alias. This is designed to let users: ✓ retain their existing wallet addresses 🧾 ✓ preserve associated tokens and NFTs 🖼️💰 ✓ migrate to a new cryptographic security architecture 🔐➡️🛠️ That is a practical and user-friendly design choice. Security upgrades are often hard to adopt when they break continuity. InterLink’s approach aims to solve that problem 🌉 Bringing post-quantum protection into smart contracts 🛡️📜 InterLink is also implementing SLH-DSA-SHA2-128s (FIPS 205) within IRC smart contracts. This adds another layer of protection for: • vaults 🏦 • high-value assets 💎 • long-term storage 📦 • sensitive on-chain operations ⚙️ The goal is not only to protect wallets, but also to strengthen the systems that govern custody and transaction security across the network 🧱🔒 Testing on the Taj Mahal Testnet 🧪🛰️ These experiments are currently being conducted on the InterLink Taj Mahal Testnet. According to InterLink, the experimental implementations have passed the NIST-based simulation tests carried out so far ✅📈 That is an encouraging early signal, although broader testing and real-world validation will remain important as development continues 🔍 Looking ahead to 2027 🚀🌍 InterLink’s stated goal is to fully integrate this architecture into the Open Mainnet in 2027. If achieved, that would bring InterLink closer to a future where security is defined not only by current best practice, but by resilience against quantum-era threats 🛡️⚛️ The bigger takeaway 🌍✨ The key lesson is simple: In the quantum era, security will not only mean protecting your private will mean asking whether the cryptography behind that key was built to survive the next generation of computing 🔐⏭️ For InterLink, this is a strategic direction with long-term significance 📌 Final thought 💡 Post-quantum readiness is no longer just a technical topic for specialists. For InterLink, it is becoming part of the broader conversation about long-term digital asset security 🧠🔒 NIST-aligned cryptography, practical migration paths, and user-preserving design may soon define the networks people trust most 🌟 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs InterLink Foundation #InterLink #ITLG #ITL #WeAreTheFirst10MLinkers Join me on InterLink 😁 Start mining now and use my invitation link: 💰 My code is: 111222777888 💰 Please DM me once you have used my code. 👍
0:11

InterLink’s Early Vision for NIST-Standardised Post-Quantum Cryptography 🔐✨ The next five years may bring a much clearer answer to a question that has long been difficult to judge: Is a digital asset truly secure? 🤔 For InterLink, the answer may increasingly depend on one critical factor: whether it is quantum-resistant and aligned with NIST standards 🧬🔒 Why this matters now ⚠️ Two fast-moving technologies are reshaping digital security: • AI is improving the ability to discover weaknesses in systems 🤖 • Quantum computing is advancing towards the point where today’s cryptographic foundations could become vulnerable ⚛️ For InterLink, this is not just a theoretical discussion. It is a reminder that blockchain networks, wallets, and custody systems must prepare now for the post-quantum era ⏳🛡️ Why NIST is central to InterLink’s approach 📘🏛️ Many in the InterLink community already know NIST. NIST, part of the U.S. Department of Commerce, plays a major role in defining and evaluating security standards, including those for post-quantum cryptography. Its work matters because it helps shape what “secure” will mean in a quantum-capable future 📊🔍 In practical terms, InterLink’s long-term security vision is closely tied to whether its cryptographic design can withstand post-quantum threats 🚀 The risk for blockchain networks and digital assets 🔎💥 Recent research and experiments from major organisations, including Google, have highlighted a growing concern: what was once considered extremely difficult, using quantum computing to threaten cryptographic systems, is no longer something that can be ignored 🧪⚠️ That does not mean current systems are broken today. It does mean that networks which fail to prepare for post-quantum threats could face serious risks later 📉 For InterLink, this is exactly why early research matters 🧠✨ If sufficiently powerful quantum computers become available, some current cryptographic methods may become vulnerable. For any network storing value, identity, NFTs, or permissions, that is a major issue 💳🖼️🧾 InterLink’s early work on post-quantum readiness 🧠🔐 InterLink Foundation has already been researching: ✅ digital signatures ✍️ ✅ cryptographic algorithms 🔣 ✅ migration mechanisms for future security upgrades 🔄 One of the most notable areas of work is the ability to generate new private keys from an existing seed phrase 🌱➡️🔑 This matters because it offers a pathway to improve security without forcing users to abandon access to their assets 🙌 Address Alias: preserving continuity during migration 🪪🔗 Another important InterLink mechanism is Address Alias. This is designed to let users: ✓ retain their existing wallet addresses 🧾 ✓ preserve associated tokens and NFTs 🖼️💰 ✓ migrate to a new cryptographic security architecture 🔐➡️🛠️ That is a practical and user-friendly design choice. Security upgrades are often hard to adopt when they break continuity. InterLink’s approach aims to solve that problem 🌉 Bringing post-quantum protection into smart contracts 🛡️📜 InterLink is also implementing SLH-DSA-SHA2-128s (FIPS 205) within IRC smart contracts. This adds another layer of protection for: • vaults 🏦 • high-value assets 💎 • long-term storage 📦 • sensitive on-chain operations ⚙️ The goal is not only to protect wallets, but also to strengthen the systems that govern custody and transaction security across the network 🧱🔒 Testing on the Taj Mahal Testnet 🧪🛰️ These experiments are currently being conducted on the InterLink Taj Mahal Testnet. According to InterLink, the experimental implementations have passed the NIST-based simulation tests carried out so far ✅📈 That is an encouraging early signal, although broader testing and real-world validation will remain important as development continues 🔍 Looking ahead to 2027 🚀🌍 InterLink’s stated goal is to fully integrate this architecture into the Open Mainnet in 2027. If achieved, that would bring InterLink closer to a future where security is defined not only by current best practice, but by resilience against quantum-era threats 🛡️⚛️ The bigger takeaway 🌍✨ The key lesson is simple: In the quantum era, security will not only mean protecting your private will mean asking whether the cryptography behind that key was built to survive the next generation of computing 🔐⏭️ For InterLink, this is a strategic direction with long-term significance 📌 Final thought 💡 Post-quantum readiness is no longer just a technical topic for specialists. For InterLink, it is becoming part of the broader conversation about long-term digital asset security 🧠🔒 NIST-aligned cryptography, practical migration paths, and user-preserving design may soon define the networks people trust most 🌟 InterLink Labs 👤 + 🌐 KV Reina | InterLink Labs InterLink Foundation #InterLink #ITLG #ITL #WeAreTheFirst10MLinkers Join me on InterLink 😁 Start mining now and use my invitation link: 💰 My code is: 111222777888 💰 Please DM me once you have used my code. 👍

Tekkaus® | InterLink • MOD • T2 Community Builder

22,550 views • 1 month ago

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.
0:11

As we prepare to launch several projects, we're eager to provide a general update to our community. We are steadily approaching our end goal, thanks to the daily progress we're making toward our vision. Achieving our objectives will bring about a significant transformation in cross-chain interoperability and the flow of liquidity within protocols. This will address crucial challenges and drive mass adoption. Our future-focused approach and effective team collaboration keep us moving forward in an organized manner. Let’s delve deeper into the state of development of our current products and upcoming projects. Tao Bridge Starting with the Tao Bridge, which enables the #Bittensor community to unlock DeFi opportunities with their $TAO via a highly efficient blockchain like #MultiversX, known for its security, speed, and affordability. We deeply admire #Bittensor and believe a project like that is crucial for the future of not just the crypto space but also humanity, as it addresses the major challenges AI faces today: centralization, siloed and isolated work, which pose risks and hinder the technology's potential. We are committed to the vision of subnets and dynamic $TAO, convinced that this ecosystem is as groundbreaking as #Ethereum or #Bitcoin. We will continue to support #Bittensor wherever possible, and our bridge will also expand to other chains with Hatom V2. The TAO Bridge, deployed on and accessible through will launch on the Mainnet in 14 days, on March 27th. You can follow the countdown on the lending page at Given that our main priorities are security and stability, this period will be primarily focused on quality assurance to ensure a flawless Mainnet launch. The launch will also introduce TAO Liquid Staking at along with the integration of both $wTAO and $swTAO on the lending page. This allows #Bittensor users to leverage liquid stake, employ short or long strategies, among other DeFi strategies, or simply access stablecoin liquidity while maintaining exposure to their $TAO. Up to $1M will be distributed as additional incentives on top of the supply APYs at the launch of the $wTAO and $swTAO money markets, with $200K allocated for the first month specifically for bootstrapping. Initially, 70% of rewards will go to liquidity providers, and 30% to those using $HTM to boost their lending positions. This changes to a 50-50 split in the second month, and by the third month, all incentives are directed through the Booster. This approach encourages early participation and sustained engagement with $HTM. Introducing $TAO to #MultiversX will result in the creation of Liquidity Pools (LPs) on both AshSwap 🔥 and xExchange ⚡. These LPs will be incentivized by both entities, and Hatom will distribute extra rewards at launch. The goal is to make #MultiversX a one-stop hub for $TAO holders. Upon stabilizing the volumes, there will also be plans to integrate it on AshPerp 🔥. Furthermore, with the release of $USH, users will have the ability to mint it while retaining exposure to their $TAO. The TAO Bridge and TAO Liquid Staking smart contracts have been audited by Runtime Vеrification and @arda_project, while penetration testing and DevSecOps have been performed on our infrastructure by CertiK. We're excited to announce our exclusive partnership with TAONEW one of the top 5 validators on #Bittensor. TAONEW has been extremely helpful and supportive from day one. By sharing 50% of its service fee with its stakers, TAONEW enables Hatom to offer an optimized Staking APY to its users. Since our initial reference, #Bittensor has grown sevenfold, becoming the largest AI project in the crypto sphere. We reiterate our commitment to contribute to such technology and hope to address some of its current DeFi challenges. Syfy Moving forward, today marks a significant milestone, not only for our decentralized protocols but also for our development companies, which currently stand as the sole and primary contributors to the Hatom Labs and Soul Labs. We’re excited to unveil Syfy, the evolved identity of Hatom Labs and Soul Labs, now serving as the parent entity for our burgeoning development companies. Organization is crucial for scalability, which is why Syfy was established to cultivate an environment where our teams can collaborate more seamlessly, enhancing our effectiveness and efficiency. At the same time, we remain committed to upholding the financial independence of each project, supported by its own community of funding contributors. Feel free to explore our website at for more information! Additionally, don't forget to follow Syfy and explore their Genesis article highlighted in their initial post: Booster V2 The Booster V2 will introduce a range of new features and opportunities for $HTM holders: Optimized Position Boosting: Previously, boosting was done individually for each money market, necessitating $HTM token distribution and periodic rebalancing due to price fluctuations. With Booster V2, the system now considers the overall position, eliminating the need for manual rebalancing. Gas Fee Reduction: Booster V2 implements optimizations that result in reduced gas fees, making transactions more cost-effective for users. Incorporation of Governance: Users staking $HTM tokens gain voting rights directly within the Booster, allowing them to participate in governance decisions while maintaining their staked positions. (Note: Only $HTM tokens are considered for governance; LP tokens are not included.) Enhanced Boosting Mechanism: The Booster V2 enables LP Tokens to boost positions within the Booster, leveraging trading fees from swaps and farm incentives while boosting lending positions. Smart Contract Completion: The Booster smart contract has been completed and audited by @arda_project, ensuring security and reliability. Frontend Implementation: The frontend design for Booster V2 has been successfully implemented, providing users with an intuitive interface. Collaboration with xExchange: Exploration is ongoing for collaboration with xExchange ⚡ to enable LP creation, farming, and meta-staking within the Booster. Upon finalization of testing, we will launch the Booster V2 on the devnet to gather community feedback and begin preparations for the mainnet release. Soul Before delving into Soul Labs's developments, it's essential to summarize its core functionality briefly: Soul Labs seamlessly connects different lending protocols and blockchains, facilitating lending and borrowing across platforms like Aave, Compound Labs, and Hatom Labs, consolidating liquidity and users' borrowing capabilities. Utilizing LayerZero Labs and other messaging layers for cross-chain communication, Soul Labs bypasses asset bridging or synthetics, unlocking novel DeFi strategies and solidifying its position as the ultimate solution for cross-lending dilemmas. Soul V1 will be permissionless, holding censorship-resistant features, incorporating multiple redundancy mechanisms, and providing support for various DApps. We're thrilled to announce that, following the launch of the Tao Bridge in 2-3 weeks, we will introduce the Soul Labs website. This platform has been meticulously crafted over 250 days to not only provide a comprehensive overview of our vision but also to offer an engaging and captivating experience that promises to be memorable. Regarding the app, significant progress has been made on the V1 protocol, including: Smart Contract Development and Testing: • Completion of the initial phase of smart contract development. • Conducting advanced testing to ensure the system's robustness. • Establishment of a fully functional proof of concept. Successful deployment and testing on the #Goerli (#Ethereum Testnet) and #Mumbai (#Polygon Testnet), leveraging LayerZero Labs for seamless operation. Feature Enhancement and Protocol Optimization: • Enhanced testing procedures to bolster system resilience. • Integration of advanced features and significant code refactoring for optimization. • Incorporation of various communication methods, including LayerZero Labs, Formerly Axelar, now at @axelar, Chainlink CCIP), and wormholecrypto, into Soul Labs framework, enhancing its resilience and flexibility. This allows Soul Labs to maintain operation through alternative protocols if the primary one is temporarily paused. Website Development and Documentation: • Nearing the completion of the v1 app, with final touches being applied. • The preparation of comprehensive V1 documentation and the Yellow Paper, available upon Soul Labs's public launch, offering detailed insights into the platform's infrastructure and capabilities. USH Recognizing the critical need for stable liquidity within the ecosystem, we have positioned ourselves at the forefront of providing a solution by introducing $USH, the first native, decentralized, and over-collateralized stablecoin on #MultiversX. As market conditions have improved, we have observed a growing demand for stablecoins in the ecosystem, evidenced by the utilization rate in the Lending Protocol spiking to over 90% several times in recent months. Therefore, our goal is to tackle the current challenges faced by users by creating a robust product that will not only help them hedge against market volatility but also open up better opportunities to trade the markets and generate yield. We're happy to unveil the $USH website, now live with a sleek and intuitive user interface, designed for ease of use, which ensures that interacting with the protocol is straightforward and accessible for all. You can access it now through this link: For the technical side, we’re advancing steadily and we’ve accomplished the following milestones: Lending Protocol Facilitator: • Coded the first version to support multiple discount factors for different collaterals. • Implemented tracking of borrowing effectiveness to enable earnings forecasting for the module and support minting processes. Isolated Pools Facilitator: • Coded the first version of Isolated Pools Facilitator. • Use of $EGLD or $sEGLD as collateral, with positions stored always in $EGLD to benefit the protocol through Liquid Staking and lending interest. • Virtual account implementation for converting $sEGLD earnings into $USH, functioning like liquidation where users deposit $USH for a higher amount of $HsELGD. Staking Module • Coded the first version of the Staking Module that allows users to stake and unstake without any restrictions. We're currently focusing our efforts on the following tasks: • Implementation of HTM Booster in the discount model in the Lending Protocol. • Implementation of different depeg strategies and brainstorming further potential “soft” depeg mechanisms. • Research and implementation of rewards model for Staking Module. • Research and implementation of Boosted Vaults Facilitator. • Review and stress-test the first version of the code. Upon launch, $USH will be integrated into various protocols and AMMs across the ecosystem, further increasing both its utility and liquidity. The opportunities will be vast, enabling users to engage in a wide range of activities such as yield farming, staking, and arbitrage, all while leveraging a stable and reliable asset. Regarding the USH Airdrop campaign, it will continue until the official launch of $USH planned for late Q2-early Q3, rewarding all users who have actively participated in the initiative. Hatom V2 It is clear by now that we are driven to build a more robust, interoperable, and secure DeFi space, removing the current barriers that hinder users' capabilities to seamlessly interact with different blockchains. Through Hatom V2, we will introduce Hatom's cross-chain architecture, designed from the ground up for interoperability. This approach will elevate the protocol to unprecedented levels, enabling its deployment across various blockchains and facilitating seamless connections between them through Soul. By enhancing interoperability, Hatom V2 aims to foster a more inclusive and accessible ecosystem. This expansion will not only broaden the protocol's reach but also significantly increase its flexibility and utility, allowing users to interact with a diverse range of assets and products across different chains. We’re thrilled to share that we are currently crafting the V2 redesign of the Hatom webpage. Anticipate a jaw-dropping transformation that will truly astonish, blending cutting-edge design with an unparalleled user experience, elevating it to a dynamic, interactive hub, and making every interaction more engaging. Good things take time, but we are confident that the release of V2 website will take place in the second quarter of this year and will officially mark the start of our journey into the cross-chain landscape. We are excited about the future and we truly believe that this will mark the beginning of a new era for Hatom. It's crucial for us to develop rapidly without sacrificing the quality or the security of each product. We're strategically allocating resources to ensure smooth progress in every area of our work. As we push forward, we believe that the launch of Soul Labs will be the most important milestone due to its massive potential and disruptive technology. We would like to thank you all for the unwavering support you've shown over the past few months; it truly fuels our passion to push daily and make strides toward achieving our ambitious goals.

Hatom Labs

203,486 views • 2 years ago

Just finished a one-week trip to China. I've now "survived" all the major (~20) L2 self-driving and robotaxi vehicles in both the US and China. Some thoughts & observations: ▶️L2 self-driving I tested major brands like $Huawei, $Li, $NIO, $Xpeng, and $Xiaomi. Overall, they exceeded my expectations. The rides were not overly cautious and handled complex situations (yes, road conditions in China are very challenging!) quite well. Nothing compares to $Tsla's approach. I see imitation learning/end-to-end as the only effective approach for self-driving. While Chinese peers perform well on main roads, they struggle on frontage roads due to reliance on high-precision maps and rule-based methods (e.g. cars stopped in the middle of the road where there was no clear white lining). Chinese EVs' self-driving capabilities are far ahead of those from US and EU brands. I doubt any Chinese players can profit from L2 self-driving, not because it’s not useful, but because it’s hard to differentiate, and price wars dominate the market in China. Chinese consumers and regulators seem much more receptive to self-driving. Even with a 5/10 self-driving capability, cars are practically *hands-free(!)* Insurance-wise, for L3+ cars, OEMs bear responsibility for incidents, so OEMs avoid labeling cars as L3+. ▶️Robotaxi I tested major brands like $Didi, and $Bidu. I'd rate equal to $Waymo, and it's ahead of other peers. However, the same issue applies here: user experience is nearly perfect (in Yizhuang, Beijing), but expansion is the real question. Chinese robotaxi companies are very sophisticated. While the rest of the world focuses on technology, Chinese peers treat it as a product, considering unit economics, operations, mass production, etc. Interestingly, most companies expressed a preference NOT to operate fleets themselves. They aim to be asset-light and let fleet managers handle operations. Policy Support: China has a very clear approval process, driven by data (autonomous driving distance, fully driverless distance, intervention rate, passenger ratings, etc.). ▶️Chinese EVs In major cities like Beijing or Shanghai, EV adoption (green license plates vs. gas cars with blue license plates) seems to be 40%+. If 40% of cars on the road are EVs, then EV penetration (defined as the % of new car sales) must already be over 50%. In shopping malls, the ground floor is filled with EV showrooms—easily 10+ brands, many of which are unfamiliar Chinese brands. It appears almost too easy to make an electric car, which is a stark contrast to the US. $Xiaomi, for example, can achieve a 10% gross profit margin in its first year of operation, compared to $RIVN's -45%. Additionally, $Xiaomi cars are priced at 30% of $RIVN's price. It's fascinating to see how China transitioned from "couldn't make their own gas cars at all (only JVs)" to "dominating EVs globally." The government deserves credit for setting the direction and executing effectively. China now controls the entire supply chain, with $CATL holding 40% of the global market share. 🔹How did it happen? The success of the industry Incentives were set just right: the government provided incentives early on to make EVs and gas cars have comparable MSRPs, allowing consumers to choose based on functionality. This approach differs from how the IRA offers incentives... Perfectly competitive market: $TSLA was brought in, and competition was welcomed, unlike the US, which has a 100% import tax on Chinese EVs. Strategic regulations: License plate restrictions were used effectively; for example, taxis and minivans are required to be EVs. 🔹The challenges Despite the success, the industry faces challenges with low-margin companies and struggling stocks. The intense competition shows no sign of ending. Well-funded global OEMs and Chinese state-owned car companies continue to subsidize, leading to new EV brands emerging annually. The natural tendency in China is to race to the bottom. I think this ties back to China's history as the "world’s factory," where manufacturers price products at "cost plus" versus the US and developing countries, which price based on "affordability/value creation." 🔹The wow EV feature >Software features that surprised me the most: - Everything in the car can be voice-controlled. Not just simple tasks like playing music; users can adjust the height of the steering wheel and set the temperature easily. - Self-parking, which $Tsla has yet to release to all FSD users, is already a table stake in China (I'd rate the quality as 10/10). >Other fun hardware features: - Mini fridges in the car - Infotainment systems - IoT: remote access the car/home via cellphone - all connected together - Heads-up displays - UV-protected glass roofs: $Xiaomi took $Tsla's design, but the glass roof of the $Xiaomi car is made of double layers with silver, blocking 99.9% of UV and infrared rays...as a result, heat is no longer a problem inside the car
0:31

Just finished a one-week trip to China. I've now "survived" all the major (~20) L2 self-driving and robotaxi vehicles in both the US and China. Some thoughts & observations: ▶️L2 self-driving I tested major brands like $Huawei, $Li, $NIO, $Xpeng, and $Xiaomi. Overall, they exceeded my expectations. The rides were not overly cautious and handled complex situations (yes, road conditions in China are very challenging!) quite well. Nothing compares to $Tsla's approach. I see imitation learning/end-to-end as the only effective approach for self-driving. While Chinese peers perform well on main roads, they struggle on frontage roads due to reliance on high-precision maps and rule-based methods (e.g. cars stopped in the middle of the road where there was no clear white lining). Chinese EVs' self-driving capabilities are far ahead of those from US and EU brands. I doubt any Chinese players can profit from L2 self-driving, not because it’s not useful, but because it’s hard to differentiate, and price wars dominate the market in China. Chinese consumers and regulators seem much more receptive to self-driving. Even with a 5/10 self-driving capability, cars are practically *hands-free(!)* Insurance-wise, for L3+ cars, OEMs bear responsibility for incidents, so OEMs avoid labeling cars as L3+. ▶️Robotaxi I tested major brands like $Didi, and $Bidu. I'd rate equal to $Waymo, and it's ahead of other peers. However, the same issue applies here: user experience is nearly perfect (in Yizhuang, Beijing), but expansion is the real question. Chinese robotaxi companies are very sophisticated. While the rest of the world focuses on technology, Chinese peers treat it as a product, considering unit economics, operations, mass production, etc. Interestingly, most companies expressed a preference NOT to operate fleets themselves. They aim to be asset-light and let fleet managers handle operations. Policy Support: China has a very clear approval process, driven by data (autonomous driving distance, fully driverless distance, intervention rate, passenger ratings, etc.). ▶️Chinese EVs In major cities like Beijing or Shanghai, EV adoption (green license plates vs. gas cars with blue license plates) seems to be 40%+. If 40% of cars on the road are EVs, then EV penetration (defined as the % of new car sales) must already be over 50%. In shopping malls, the ground floor is filled with EV showrooms—easily 10+ brands, many of which are unfamiliar Chinese brands. It appears almost too easy to make an electric car, which is a stark contrast to the US. $Xiaomi, for example, can achieve a 10% gross profit margin in its first year of operation, compared to $RIVN's -45%. Additionally, $Xiaomi cars are priced at 30% of $RIVN's price. It's fascinating to see how China transitioned from "couldn't make their own gas cars at all (only JVs)" to "dominating EVs globally." The government deserves credit for setting the direction and executing effectively. China now controls the entire supply chain, with $CATL holding 40% of the global market share. 🔹How did it happen? The success of the industry Incentives were set just right: the government provided incentives early on to make EVs and gas cars have comparable MSRPs, allowing consumers to choose based on functionality. This approach differs from how the IRA offers incentives... Perfectly competitive market: $TSLA was brought in, and competition was welcomed, unlike the US, which has a 100% import tax on Chinese EVs. Strategic regulations: License plate restrictions were used effectively; for example, taxis and minivans are required to be EVs. 🔹The challenges Despite the success, the industry faces challenges with low-margin companies and struggling stocks. The intense competition shows no sign of ending. Well-funded global OEMs and Chinese state-owned car companies continue to subsidize, leading to new EV brands emerging annually. The natural tendency in China is to race to the bottom. I think this ties back to China's history as the "world’s factory," where manufacturers price products at "cost plus" versus the US and developing countries, which price based on "affordability/value creation." 🔹The wow EV feature >Software features that surprised me the most: - Everything in the car can be voice-controlled. Not just simple tasks like playing music; users can adjust the height of the steering wheel and set the temperature easily. - Self-parking, which $Tsla has yet to release to all FSD users, is already a table stake in China (I'd rate the quality as 10/10). >Other fun hardware features: - Mini fridges in the car - Infotainment systems - IoT: remote access the car/home via cellphone - all connected together - Heads-up displays - UV-protected glass roofs: $Xiaomi took $Tsla's design, but the glass roof of the $Xiaomi car is made of double layers with silver, blocking 99.9% of UV and infrared rays...as a result, heat is no longer a problem inside the car

Freda Duan

399,124 views • 2 years ago