Current AI is a librarian of existing knowledge. Science requires an explorer of the unknown. You don't win a Nobel Prize by staying in the library.
@fchollet
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Latent Space: Frontier of Pure Possibility in AI
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There is a poetic depth to the term "latent space" that transforms vector coordinates into a frontier of pure possibility
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Symbolic Learning Development at Ndea
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What we're developing at Ndea. We call it symbolic learning.
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Next Breakthrough Beyond Deep Learning Architecture Innovation
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The next major breakthrough will branch out at a much lower level than deep learning model architecture. It will be a new approach. A better model architecture can lead to incremental data efficiency & generalization gains, but it won't fix the fundamental issues of the… https://t.co/XIju3kWBGv
— François Chollet (@fchollet) 15 mars 2026The next major breakthrough will branch out at a much lower level than deep learning model architecture. It will be a new approach. A better model architecture can lead to incremental data efficiency & generalization gains, but it won't fix the fundamental issues of the
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Critical thinking skills essential before AI era
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The time to learn how to think for yourself was before genAI, if you missed your chance, good luck
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Prompt Engineering’s Persistence: A Sign We’re Far From AGI
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The persisting importance of prompt engineering — and now harness engineering — is one of the best indicators of how far we are from AGI. A general system doesn't need a task-specific harness. And when provided with instructions, it is robust to phrasing variations.
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Monetizing Automation Machines vs Invention Machines
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If you build an automation machine, the way to monetize it is to sell it to as many people as possible — anyone who has tasks to automate. But if what you build is an invention machine, then the best way to monetize it is to use it yourself.
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State of the Art in AI Music Generation and Recent Bangers
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What's the SotA for AI music generation these days? Any AI generated bangers you've listened to lately?
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AI’s Current Bottleneck: Pattern Memorization Requires Human Guidance
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The bottleneck of current AI is simple: the techniques we use are still predicated on pattern memorization and retrieval, and thus they need *someone* to tell them which patterns to memorize (training data, RL envs…) That role cannot yet be played by AI in a truly open-ended
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Technological Inversion: Military to Civil and Back with AI
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Until roughly the 1970s, most civilian technological progress was downstream of military technological progress. The trend has since inverted. Today most of the modern (e.g. Ukraine) military playbook comes from consumer tech from the past two decades. With AI entering the