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François Chollet
Co-founder @ndea. Co-founder @arcprize. Creator of Keras and ARC-AGI. Author of 'Deep Learning with Python'.
Saying that deep learning is "just a bunch of matrix multiplications" is about as informative as saying that computers are "just a bunch of transistors" or that a library is "just a lot of paper and ink."
It's true, but the encoding substrate is the least important part here. It's the programs being encoded that are interesting and useful: what they can do, what they can't do, how well they generalize, how efficiently they can be learned, etc.
145.4K
I'll take the other side of this bet...
Aug 24, 05:53
By 2030, all jobs will be replaced by AI and robots.
Easily.
The US labor force is about 170 million workers.
About 80 million of those jobs include hands-on work.
Automated systems can work four shifts a week.
Replacing all physical labor would require about 20 million autonomous systems - including autonomous vehicles, automated equipment, and robots.
That can be accomplished easily in the next four years.
People saying it's not physically possible to build that many systems in four years are delusional.
For comparison, 16 million cars were sold in the US last year.
Cars are 20 times the mass of a humanoid robot.
If robots were sold at the same rate as cars, that would be 320 million robots per year.
Even a tiny fraction of that would be enough to replace all human manual labor.
70.6K
Congrats to Eric and the team at @genspark_ai for launching Genspark AI Developer!
It's a zero-setup, complete IDE that runs in your browser, like Replit. You describe what you want, you get visual feedback and you and iterate on the output.
You can pick your model (e.g. Claude Opus 4.1, GPT-5, etc.). Ideal if you have little coding experience and you're looking for an easy to use vibe-coding tool.
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François Chollet reposted
ARC-AGI-3 Preview: +3 Games Released
We’ve opened 3 previously private holdout games from the Preview Agent Competition
Now 6 games are available to play online and via Agents API
Each game was selected to expand the novelty of ARC-AGI-3 public games
Can you beat them?
40.86K
LLM adoption among US workers is closing in on 50%. Meanwhile labor productivity growth is lower than in 2020.
Many counter-arguments can be made here, e.g. "they don't know yet how to be productive with it, they've only been using for 1-2 years", "50% is still too low to see impact", "models next year will be unbelievably better", etc.
But I think we now have enough evidence to say that the 2023 talking point that "LLMs will make workers 10x more productive" (some folks even quoted 100x) is probably not accurate.
Aug 20, 22:35
LLM adoption rose to 45.9% among US workers as of June/July 2025, according to a Stanford/World Bank survey.
Inference demand will continue to surge, not just from more users and more usage per user, but as newer, more advanced GenAI models require far more inference compute.
Source: The Labor Market Effects of Generative Artificial Intelligence, Stanford University, World Bank
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