La souveraineté, à l’ère de l’intelligence artificielle, est la capacité de ne pas subir l’intelligence des autres. C’est la capacité de bâtir la nôtre. De la gouverner.
De la sécuriser.
De la coordonner.
De la mettre au service des entreprises, des institutions, de la langue,
AI
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The Strategic Importance of AI Sovereignty and Governance
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AI Sovereignty: Building, Governing and Securing Our Own Systems
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La souveraineté, à l’ère de l’intelligence artificielle, est la capacité de ne pas subir l’intelligence des autres. C’est la capacité de bâtir la nôtre. De la gouverner.
De la sécuriser.
De la coordonner.
De la mettre au service des entreprises, des institutions, de la langue, -
Real-time model streaming with tool use
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real time model streaming audio/video/text in and out with tool use https://t.co/M68lEOpFFF
— Yohei (@yoheinakajima) 11 mai 2026real time model streaming audio/video/text in and out with tool use
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The Economic Gamble of AI Compute Infrastructure
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Compute is scarce and has to be bought years in advance, before companies know whether revenue will ever catch up.
— Gary Marcus (@GaryMarcus) 11 mai 2026
That is exactly the nature of the largest gamble in history.
Heaven help the global economy if it’s wrong. https://t.co/CqM7vcac34Compute is scarce and has to be bought years in advance, before companies know whether revenue will ever catch up. That is exactly the nature of the largest gamble in history. Heaven help the global economy if it’s wrong.
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Essential Research Papers for Mastering Transformers and LLMs
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Top 26 Essential Papers for Mastering LLMs and Transformers Implement those and you’ve captured ~90% of the alpha behind modern LLMs. Everything else is garnish. This list bridges the Transformer foundations with the reasoning, MoE, and agentic shift Recommended Reading
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Evaluating the Economic Potential of Generative AI
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Which has better odds?
— Gary Marcus (@GaryMarcus) 11 mai 2026
Generative AI earning $1.6 trillion/year or the roulette wheel landing on zero? https://t.co/LYHe0SVtvi pic.twitter.com/52cTL3iSHMWhich has better odds? Generative AI earning $1.6 trillion/year or the roulette wheel landing on zero?
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AI Performance Leap: ‘Framemogged’ Realtime Capabilities Redefined
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I believe the kids call this "
@thinkymachines just brutally framemogged gdm and oai". basically everyone's definition of "realtime" just got a massive frciking upgrade -
Agentic Context Engineering: Evolving AI Context Over Time
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Instead of treating prompts as static, Agentic Context Engineering (ACE) explores how context can evolve over time through generation, reflection, and curation. Read the paper
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Can unreliable AI systems achieve AGI-level economic output?
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that’s actually part of the question – can you make a couple trillion with something unreliable/something short of AGI
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Estimating the Annual Revenue Required for AI Sustainability
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One estimate of how much annual revenue AI needs to “make sense”: 1.6 trillion. That’s four times what Google made in its best year. (total revenue so far is perhaps on order of 100 billion.)