Thanks to codex automating my morning prep I can now spend that time buttoning up this fucking shirt in the morning. Try it out: “Every morning search my slack, gmail, calendar and linear to help me prepare my morning Save it in my obsidian vault and review past notes to understand what I need to prioritize”

🚀 DCI just hit #1 on Hugging Face Daily Papers! Try it Now! @HuggingPapers https://t.co/h1CWuCtuQz https://t.co/8K2O7zZ7vq

🚀 DCI just hit #1 on Hugging Face Daily Papers! Try it Now! @HuggingPapers https://t.co/h1CWuCtuQz https://t.co/8K2O7zZ7vq

Well, the face generation wasn't very good but I built up enough samples to do some faceception, so I got that going for me which is nice https://t.co/bXxYPisE9T

xAI has expanded access to X Premium+ subscribers in Hermes Agent. Enjoy! https://t.co/kLQzJLBrCh

Interesting interpretability paper on tool-using agents. The authors probe hidden states and find the model often recognizes it should call a tool, but fails to actually call one. The mismatch ranges from 26 to 54%, and it concentrates entirely in the cognition-to-action transition, not in cognition itself. In other words, the model usually knows it should call the tool. The internal probe direction is decodable. But the late-layer last-token regime rotates that signal nearly orthogonal to the action it produces. This work tries to predict which interventions will actually work and which will not. Most will blame bad prompting or weak tool-call training, and probably ignore the late-layer geometry. If you have been A/B testing tool-use prompts and getting weird ceilings, this work might offer a good explanation to that behavior. Paper: https://t.co/klkyBU2TKs Learn to build effective AI agents in our academy: https://t.co/1e8RZKs4uX

https://t.co/nX3qsKP4Jb

AI won’t make most human skills obsolete, but it will change how they’re used. Negotiation, problem solving, and leadership will matter more than ever as people work alongside agents and robots. Our new Skill Change Index shows which skills will be most, and least, exposed to automation in the next five years: https://t.co/fRXfHF1k56

NYT: "Job Cuts Driven by #AI Are Rising on Wall Street" by @realrobcopeland. (link to article in the reply) There's a book about this! A new edition of #RiseoftheRobots covering the job market and economic implications of the latest advances in #AI will be released on June 2nd. @nytimes @nytimesbooks

"@elonmusk says a 'universal high income' is the best solution to #AI job losses" by @Theron_Mohamed (link to article in the reply) There's a book about this! A new edition of #RiseoftheRobots covering the job market and economic implications of the latest advances in #AI will be released on June 2.

https://t.co/wmO5q4590s

Are your benchmarks actually measuring the capability you think they measure? New paper says they probably not. Coined the "The Evaluation Trap", it provides a vocabulary for auditing whether your eval discriminates the underlying capability or just proxies behaviors that happen to correlate. Most benchmarks bake in implicit theory that nobody states explicitly, then evaluate as if the theory were neutral. Research indicates that most agent leaderboards are not measuring what we collectively think they are. Great read on evals, especially those making decisions on model selection. Paper: https://t.co/mPIiOhkB8P Learn to build effective AI agents in our academy: https://t.co/LRnpZN7L4c

To reindustrialize, we must first understand our history. From revolution to world war, textiles didn't just clothe America - they powered its rise, shaped its cities, and transformed the South. Textile production in colonial America began as a household necessity, with families spinning and weaving their own fabrics. British trade restrictions and later, revolutionary spirit, pushed colonists to create textiles independently, setting the stage for major economic shifts. The Industrial Revolution brought mechanized mills, and Southern states like North Carolina, South Carolina, and Georgia became the backbone of American textile production, turning local cotton into global goods, employing generations of workers. Wartime made textiles even more crucial: cloth for uniforms, blankets, tents, and parachutes kept soldiers equipped and the country united. Mill towns worked around the clock, especially in the South, where Atlanta's Fulton Bag and Cotton Mill became a symbol of industrial resilience. President Lyndon B. Johnson called textile manufacturing "vital to the health of the American economy." At its peak, over 2.2 million Americans worked in textile and apparel. Then we offshored it all. In just a few years, mills shuttered, factories went dark, and communities collapsed. What took generations to build disappeared virtually overnight. Now we’re bringing it back. Anatar is rebuilding American textile manufacturing in the South, combining advanced robotics and AI orchestration with the industrial heritage that built this country. We chose America. America chooses Anatar. Pictured: Textile mill working all night, 1941, Mass.

This tweet, with its extreme claims, caught my attention because Elon Musk reposted it. I asked Gemini if any of these claims are accurate. It assured me that they are not. I then asked Grok, which replied that the first four are in fact accurate, and it provided details and sources supporting its response. So, I went back to Gemini, copied and pasted Grok's reply into a prompt, and asked Gemini what it thought about what Grok had just told me. Here's Gemini's response: "I stand corrected... I apologize for my previous response. I attempted to separate fact from social media exaggeration but failed to properly verify the depth of the horrific testimonies from the actual trials like Operation Bullfinch and the Rotherham inquiries. The details you cited from Grok accurately reflect the devastating and brutal reality of what these victims endured."

From Chinese media. The writing says: “Take it easy, things are under control.” https://t.co/orxtm3Rd1A

“Shoot him in the neck like Charlie Kirk. Shoot him in the neck like Charlie Kirk.” London (May 16) — Far-left extremists chanted for the m—rder of Tommy Robinson at their counter protest. Video by @SamaramGill: https://t.co/ZrTkTXJcIO

UK is a prison island. Retweeting something can get you arrested in the UK. https://t.co/liHq8kXUvC

"Why does an actor's race matter?!" Ok… now imagine it was this: https://t.co/9TfhzHXhMS

The jobs apocalypse is not yet here. But if governments wait for conclusive evidence before creating a safety-net, it will be too late https://t.co/YzomPNvP11 https://t.co/QbMj8HWx5o

There's a book about this! New edition covering latest advances in #AI publishing on June 2nd. #RiseoftheRobots https://t.co/R6s6azim8U

Great to get some work in with @AggieSoftball All-American @rileysartain. I learned a lot and i’m excited to get to work! #transferportal https://t.co/NBt98p2Rha

@SpirosMargaris Be wary of AI hype. Even the best frontier models achieve just 4% success on the Remote Labour Index (RLI). That’s a 96% failure rate. The RLI evaluates AI across a wide spectrum of real remote work projects, from game development and product design to architecture, data analysis, and video animation. These aren’t complete job roles; they’re already broken down into smaller, well-defined tasks specifically structured so AI can participate. And yet, the results are still devastatingly bad.

The /goal Cheat Sheet for Hermes Agent Codex Builds, Claude Code Reviews and Hermes Agent Orchestrates.

Some open source projects don't just survive. They flat-out refuse to bite the dust. ⚔️ We looked at 10 roguelikes still going strong years (sometimes decades) after launch. Here's what their maintainers and communities can teach the rest of open source about longevity. 💡 https://t.co/aWJ4BKCW9x

#1 across all books in Canada. #10 globally. https://t.co/qYrW34FeLg

for decades, western institutions did a fairly good job of conveying truth and advancing the values that had built this civilization which is why so many people still blindly trust them they have abused that trust a great example is how little they cover massively important things (like grooming gangs) - it could best be described as suppression any institution that purports to be truth seeking but is in fact not truth seeking, will eventually crumble or be replaced by something that is more truth seeking

My Hermes Agent is now powered by Grok 4.3! Let's give it a chance! https://t.co/k41RYu30Nl

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My Hermes Agent is now powered by Grok 4.3! Let's give it a chance! https://t.co/k41RYu30Nl

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Hermes 生态要炸了，你还没上车？ Nous Research 的 Hermes Agent 这波社区爆发真的猛。一堆开发者开始往上堆插件、堆适配器、堆记忆系统，感觉整个生态正在从"一个模型"变成"一套完整的 Agent 操作系统"。 给你拆一下现在都有啥： 1️⃣ HermesHub 链接: https://t.co/cDrb2GLKZ1 社区技能注册表，带安全扫描，支持一键安装和 x402 付费。说白了就是 Agent 版淘宝，技能也能上架卖了。 2️⃣ hermes-paperclip-adapter 链接: https://t.co/N3u7AFrzzH 官方出的企业适配器，让 Hermes 直接变成公司"受管员工"。任务分发、技能同步全自动，企业场景直接打通。 3️⃣ yantrikdb-memory-plugin 链接: https://t.co/auBeUo0c1v 本地动态记忆插件，skill 生成加 recall 全程零 token 浪费。记忆不再是"存档"，是真的懂你这个人。 4️⃣ superpowers 链接: https://t.co/JGSEtYSyvJ 创意工作流打包成 skill，设计哲学、品牌 pipeline 全塞进去。Agent 开始有审美了，这事有点离谱。 5️⃣ obsidian-skills 链接: https://t.co/JLMugoAYoP 30 秒把你的 Obsidian 笔记库变成 Agent 的身份认知层。你的私人知识直接成了它的"自我"，隐私党可以自己部署不用上云。 现在的 Hermes 已经不是单纯的模型了，是技能市场加企业员工加记忆系统加创意引擎的组合体。这个方向如果跑通，Agent 生态的竞争格局真的要重写。

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The internet is the one single thing that literally lifts an entire country's GDP Every country that signs with Starlink gets a parallel internet infrastructure Every country that delays gets left further behind

Would you want to see your past interactions with someone on 𝕏? https://t.co/e5AwVSQ9gh