For those saying "I couldn't do it either!" — I *do* think that a software engineer should be able to look at a new programming language and start solving familiar problems in the language while consulting the docs. Even if it takes more effort and more iterations. You shouldn't
@fchollet
-
Frontier Models Rely on Memorization Over Generalizable Knowledge
By
–
This is more evidence that current frontier models remain completely reliant on content-level memorization, as opposed to higher-level generalizable knowledge (such as metalearning knowledge, problem-solving strategies…) https://t.co/QNqanOttqd
— François Chollet (@fchollet) 19 mars 2026This is more evidence that current frontier models remain completely reliant on content-level memorization, as opposed to higher-level generalizable knowledge (such as metalearning knowledge, problem-solving strategies…)
-
Current AI Librarian Cannot Pioneer Unknown Frontiers
By
–
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.
-
Latent Space: Frontier of Pure Possibility in AI
By
–
There is a poetic depth to the term "latent space" that transforms vector coordinates into a frontier of pure possibility
-
Symbolic Learning Development at Ndea
By
–
What we're developing at Ndea. We call it symbolic learning.
-
Next Breakthrough Beyond Deep Learning Architecture Innovation
By
–
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
-
Critical thinking skills essential before AI era
By
–
The time to learn how to think for yourself was before genAI, if you missed your chance, good luck
-
Prompt Engineering’s Persistence: A Sign We’re Far From AGI
By
–
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.
-
Monetizing Automation Machines vs Invention Machines
By
–
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.
-
State of the Art in AI Music Generation and Recent Bangers
By
–
What's the SotA for AI music generation these days? Any AI generated bangers you've listened to lately?