The universe is the maximum entropy distribution given its symmetries.
TECHNOLOGY
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Mid useless OSS projects at tech companies replaceable by GPT-5.2 Codex
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I know of a lot of mid useless OSS projects at major tech companies that are now officially totally cooked. All of their work replaceable with a few well guided CC or GPT 5.2 Codex sessions by skilled operators.
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Longevity Tech and AI Innovation Continue to Advance
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Rise of longevity tech and AI marches on
#AI #AIio #AIInnovation #ML #DataScience #Futureofwork @Scobleizer @AndrewYNg @drfeifei @KirkDBorne @fchollet @rowancheung @antgrasso -
Jason Calacanis Claims Tesla Optimus 3 Is Most Transformative Tech Ever
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Wow…
— VISION IA (@vision_ia) 15 janvier 2026
« J’ai vu Optimus 3. Plus personne ne se souviendra que Tesla fabriquait des voitures. Ce sera le produit technologique le plus transformateur jamais créé dans toute l’histoire de l’humanité. Je pense qu’il a déjà gagné. »
— Jason Calacanis, à propos d’Optimus 3 de Tesla. pic.twitter.com/lEHWg8UbhIWow… « I saw Optimus 3. No one will remember that Tesla made cars. It will be the most transformative technological product ever created in all of human history. I think it’s already won. »
— Jason Calacanis, about Tesla’s Optimus 3. -
System matches complexity to problem without wasted cycles
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Best part: it doesn’t overthink simple questions. Ask “what’s 2+2?” → Direct answer.
Ask “should I pivot my business model?” → Full architecture activates. The system matches complexity to the problem. No wasted cycles. -
AI for Realistic Human Face Generation with Style Control
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Link to paper: https://
arxiv.org/pdf/2308.01074 -
AI model detects typing from keystroke sounds with 95% accuracy
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There’s an AI model that can determine what you are typing just by listening to your keystrokes – with 95% accuracy:
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How soon will AI coding bots build an entire OS?
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How long before someone uses AI coding bots to build a whole OS from scratch?
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Test-time compute scaling makes large training runs obsolete
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The brutal truth: The future isn't bigger models trained on more data. It's smarter inference strategies that make small models think deeper. Test-time compute scaling just made the $100M training run obsolete. Intelligence is no longer about size—it's about how long you let
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Implications cascade: inference hardware, reasoning strategies, open-source rise
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The implications cascade: – Inference hardware becomes more valuable than training clusters
– Optimization shifts from pre-training to reasoning strategies
– Model size matters less than inference efficiency
– Open-source models compete with closed frontier models The playing