I simply do not see how Open Claw and systems like it won’t completely disrupt virtual assistant businesses like Athena etc. It’s been an absolute game changer allowing me to context switch like a madman without dropping a beat. VA doesn’t even do it justice. It’s like I have
GENERATIVE AI
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Codex 5.3 and Opus 4.6: optimal prompts guide
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Codex 5.3 and Opus 4.6 have been released today. However, most people are using them wrong. Here is a quick thread to tell you what prompts you need to use to get the most out of them. A 1/69,420
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Critique of industry claims regarding world models
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Ils ont vu les actions JV chuté avec Génie 3 ils se sont dit « jackpot » on va bricoler un truc et dire que c’est un world model MDRRRR
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Data Exploration Agent in Hugging Face Dataset Viewer
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We recently shipped a Data Exploration Agent in the @huggingface Dataset Viewer 💽
— Caleb (@calebfahlgren) 5 février 2026
• powered by @OpenAI gpt-oss-120b 🤖
• served by @GroqInc for super fast inference ⚡
• multi-turn SQL on datasets in the browser 💻 pic.twitter.com/olIRUyPxd2We recently shipped a Data Exploration Agent in the @huggingface Dataset Viewer 💽 • powered by @OpenAI gpt-oss-120b 🤖 • served by @GroqInc for super fast inference ⚡ • multi-turn SQL on datasets in the browser 💻 [Translated from EN to English]
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Critique of video generation model lacking world model
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C’est de la pure merde. Ca semble pas du tout etre un world model.
— Defend Intelligence (Anis Ayari) (@DFintelligence) 5 février 2026
Mais juste un modèle de génération video image par image avec des « inputs » qui se transforme en prompt pour conditionner une image suivante qui marche quasiement jamais.
Aussi ça ressemble à tout sauf à du… https://t.co/3OCqzUEznvIt's pure crap. It doesn't seem like a world model at all. But just a video generation model frame by frame with "inputs" that turn into a prompt to condition the next image, which almost never works. Also, it looks like anything but real-time. Sure, you gotta start somewhere,
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Claude Opus 4.6 sets new SOTA on ARC-AGI-2 benchmark
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Claude Opus 4.6 is a new SOTA model on ARC-AGI-2 benchmark with 68.8% achievement. The next leap
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New AI Models Released, Lex Heading to SF to Build
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Claude Opus 4.6 & GPT Codex 5.3 out today, and OpenClaw recently. And I'm sure xAI/Grok & Google/Gemini will soon be out with more. What an exciting time to build stuff! I'm walking around with a smile, happy & sleep-deprived 🤣 Next week, I'll come to SF/Bay Area for a few days/weeks/months to hang out & build some stuff 😉 Looking to focus on programming, and contribute to good engineering teams. But occasionally socialize, in as much as my introvert brain allows. 2026 is going to be fun (and wild), LFG! PS: I'm doing a deep-dive podcast on OpenClaw with its creator (@steipete) soon. Let me know if you have questions.
→ View original post on X — @lexfridman, 2026-02-05 20:25 UTC
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Lab-in-the-Loop Optimization Accelerates Biological Research Iteration
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We plan to apply lab-in-the-loop optimization to other biological workflows where faster iteration can unlock progress. We see autonomous labs as complementary to models. Models can generate designs, but ultimately biology still requires testing and iteration. Closing the loop
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GPT-5 Autonomously Designs and Executes Lab Experiments
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GPT-5 was connected to an autonomous lab: it designed experiments, the lab executed them, and the results informed the next designs across six iterations. In this setup, GPT-5 designed batches of experiments, the lab executed them, and the data fed back into the next round. We
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GPT-5 discovers novel low-cost reaction compositions for high-throughput automation
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We found that the improvements came from identifying combinations that work well together and that hold up in the realities of high-throughput automation. GPT-5 identified low-cost reaction compositions that humans had not previously tested in this configuration. Cell-free