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🚨 WTF?! Anthropic CEO Dario Amodei completely abandons his anti-war stance. He openly justifies signing massive classified contracts with the Pentagon to power the US war machine. Washington is intentionally weaponizing AI to escalate global conflicts. Total hypocrisy! https://t.co/7Lx1eBUP1A
🚨 WTF?! Anthropic CEO Dario Amodei casually admits his own company is actively replacing human software engineers with AI. He confirms AI now writes almost all the code, making human workers completely obsolete. The tech elite are intentionally destroying the working class! ht
Signals of physical plausibility are hiding in the geometry of frozen image encoders. No video training. No physics supervision. https://t.co/NKmgD8g53f
@karatademada Read all of the AI community here on X and write me a report: https://t.co/kiuZ7QXLzb
The iPhone Ultra leaked? Jon Prosser just shared full renders of the new design on YouTube. His leaks are usually spot on, making this our best preview yet ahead of the September launch. It also seems like the Ultra will allegedly come in black and white! What do you gus think about the design of the iPhone Ultra? #appleleaks #iphoneultra #ios27 #technews #foldableiphone
🚨 GPT-5.6 is already leaking while ChatGPT loses market share: ChatGPT also just dropped below 50% market share for the first time. · Testers report GPT-5.6 feels noticeably faster and more capable than GPT-5.5 · Expected improvements include 1.5 million token context window, better agents ability when used for hours, and stronger coding · OpenAI has been shipping major models every 6 weeks, an extremely expensive pace to keep up If revenue growth slows, maintaining this release speed could become much harder. Do you think this is where OpenAI fall behind other competitors?
It’s working on it mwo https://t.co/SzzN0wwuUI
“Rest in Peace, VLAs”, NVIDIA’s robotics lead @DrJimFan said, at the Sequoia’s AI Ascent 2026 conference. So, what’s next? Here’s Jim Fan’s core argument: VLA (Vision Language Action Model) architectures are fundamentally brittle; they merely bolted robotic actions onto LLMs. Instead, the industry is converging on physics-grounded World Models. When it comes to robotics data, sample efficiency and data architecture are replacing brute-force token volume. Look at how the unit economics of data collection just shifted through two recent breakthroughs: - @1x_tech trained its NEO humanoid world model to execute out-of-distribution tasks using just 900 hours of egocentric human video and a mere 70 hours of real robot data (Jan 2026) - @nvidia shipped Cosmos 3, demonstrating that with a strong world foundation model, just 100 teleop seed samples are enough to post-train a complete, action-conditioned forward dynamics pipeline. (Jun 2026) By utilizing world models, robots learn not by memorizing millions of environments, but through an implicit, internalized understanding of physics. Pre-trained world models are now sophisticated enough to execute zero-shot tasks out-of-the-box. They then try them in the wild, and instantly convert those real-world interactions into clean, autonomous training tokens. Instead of racing to collect the most data, the winning recipe is now sample efficiency. And beneath that sits the model architecture that turns the fewest training examples into the most action.
Happy Fathers Day. Remember, we’re all just passing through. All your stuff will be gone, sold or given away. Your children are your heritage. Be a father they can be proud of. 🇺🇸 https://t.co/ozVYd3EyRe
I’ve joined @OpenAI as a Research Program Manager, working on evals. I’m incredibly grateful for my time at @scale_AI. I worked on Humanity’s Last Exam, helped launch @ScaleAILabs, collaborated with amazing people across data/evals/research, and recorded a few episodes of Chain of Thought. More than anything, I’m grateful for the people. Scale was intense, chaotic, ambitious, and deeply formative. I learned a lot about building under pressure, caring about quality, and taking evals seriously. Excited for the next chapter.
@mattjay I know a guy in San Francisco running a security company (I met it at @theresidency ) and he has done worse with it already. Hacked a good chunk of YCombinator's latest batch. Helped them fix their bugs. He did the same for the systems I'm using to build https://t.co/kiuZ7QXLzb
Another example from today: https://t.co/1D3ceEm3jX
I'm joining OpenAI next week!🥹 The job search turned out to be really challenging but also super rewarding, so I wrote a small blog to share what I learned along the way and hopefully make the process a little less mysterious for the next person. https://t.co/6FigSBdenD
codex about to get me 500$ back https://t.co/tZGXBYiMTM
Lego is boring. Enter BYLT - real construction using real practices. From architect drawn blueprints to finished product... on a tiny scale. Get your kit or order a la carte from the supply yard 👇 https://t.co/4H1SwkmuvZ
How I'm learning Hermes Agent. Stage 1. It began with a decision: two agents, one server. OpenClaw and @HermesAgent by @NousResearch. Different architectures, different temperaments — like a cat and a dog, except in Docker. I'm not a programmer. Just curious. OpenClaw moved in first. We worked through a strange assembly line: I'd write to ChatGPT, it would give me a task, I'd copy it into Codex — a desktop app that prepared the command. Then the command flew to the VPS terminal. Enter. Logs back to ChatGPT for review. And again. Copy. Paste. Wait. Verify. Repeat. Twenty, thirty, forty times an evening. Fingers learn Ctrl+C faster than the brain learns what exactly is being copied. Then I discovered Grok Build CLI. Installed it right on the server — and the chain got shorter. No longer "ChatGPT → Codex → me → terminal → me → ChatGPT", but almost a direct flow. Almost. ChatGPT still mixed up commands. The chat would fill up, context would tear, hallucinations would creep in. I'd open a new chat, load a context document from GitHub, carry on. It worked. Imperfectly. But it worked. And then, in the middle of this assembly line — Hermes Agent. Another command from ChatGPT. Copy. Codex. Terminal. Enter. Hermes came alive. On the same server where OpenClaw was already running, a second agent had just opened its eyes. Silent. No greeting. Just booted up and waited. @Teknium and the team built an agent that doesn't ask for a CS degree. Sometimes all it takes is a server, a couple of evenings, and a willingness to copy-paste. To be continued. #HermesAgent #NousResearch #OpenClaw #AIAgent #OpenSource #NoCode #ChatGPT #CodexCLI #GrokBuild
Working in some realtime keystone project with chappie today. https://t.co/ITmeQ7lPef
The first day in San Francisco has been incredible. New friends. My rock is on the way. I bought some flowers. Got some more tiny plates for our new friends. https://t.co/0z20RyTP0w
I’ve been living immersed in South Korea for the last month with my wife and daughter. We just leave the stroller outside if we go in anywhere. Because no one’s going to steal it. I met a friend for lunch. He rode his bicycle. He just left it outside in an alley without a lock. It was still there 2 hours later. Another friend mistakenly left his phone on a park bench. When he finally retraced his steps and went back 4 hours later, his iPhone was still there. I walked by a KPop concert. The fans who traveled from outside of Seoul to attend just left their luggage outside the subway station. No locks. No security. Koreans take this for granted. They don’t realize this is not normal for most the world, especially America. When I ask about it, they just respond, “of course, why would someone take it?” Can you imagine any of these things happening or being possible in NYC or LA or *insert city*? And IF, something were to be stolen in Korea, the police would investigate. Because in a high trust society, rules and norms matter. There’s no “under $1000” law. Theft is theft. And trust is trust. Will this social norm ever be possible in America?
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"When an LLM outputs a step-by-step plan, it creates a powerful illusion that you are watching a machine reason its way to a conclusion. A position paper by professor Subbarao Kambhampati and researchers at Arizona State University systematically dismantles this assumption." (From @bendee983 via @bdtechtalks ) 👉https://t.co/ELPfUplpU0
Falcon 9 launches 24 @Starlink satellites from California https://t.co/UmMBikZgK5
Brazilian friends, did I do good? A highlight of Rio was spending an hour in the record store listening to tracks on each album and giving the owner a thumbs up or thumbs down. I’ve had Di Melo, Joutro Mundo, Rosinha de Valença for years, a gift from my neighbor in Bondi Beach. https://t.co/ceNvAGMZGF
At @CERN, finding the universe's smallest particles requires big collaborative efforts. 🤝 Research fellow Batoul Diab shares how the ALICE collaboration uses open source code on GitHub to analyze massive amounts of physics data. Watch to see shared code, peer review, and global teamwork power modern scientific breakthroughs. 💡
🐕🦺 Blessed beyond measure to have gotten to spend yesterday afternoon and evening brainstorming Pupper for Good deployments with these brilliant doctors and researchers!! Teresa Nguyen is such a polymath and a powerhouse, as are Claudia Mueller, Laura, and Stuart. @googleaistudio @googledeepmind @googlegemma ftw!💎
We actually lived through this https://t.co/daL3jUqS6i
OpenClaw v2026.6.9 is out, with a focus on paper cuts! 💬 Richer Telegram delivery 👏 Steadier agent recovery 🧬 Stronger Codex integration 📦 Slimmer distribution 👌 Improvements in search and skills https://t.co/GOoHDXU8MZ
GLM 5.2 is now on DeepSWE as the top open-source model on our leaderboard. With a pass@1 score of 44% at max effort, GLM 5.2 is indisputable #1 open-source model besting Kimi K2.7 Code by 17%. https://t.co/cYZBm5z909
Pretty dope @greptile drink at @ycombinator https://t.co/BQ9BtrIcfu
