
curriculum design @GoogleDeepMind https://xitter.cf/t.co/WzU6h3qhag
Oxford, England
Joined May 2017
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[Hugging Face release] We’re releasing the dataset behind Reason to Play! I’m incredibly proud of our team for reaching this milestone.
@sreejan_kumar Austin Andrews @LHuntNeuro @summerfieldlab Josh Tenenbaum @somnirons @marcelomattar @momchiltomov
... than the most sophisticated cognitive theory based models. There's no incentive for this stuff to happen. I think there may be some abstract universal circuitry that all intelligent systems have to independently rediscover.
I know this is a wild bet, but please, take the data and see if this check out. There's just so much more to learn from it:
botcs.github.io/reason-to-pl…
huggingface.co/datasets/csbo…
After 10 incredible years of not being at @GoogleDeepMind, I’ve decided to quit.
The decision to stop not working there was not taken lightly.
I'll be joining @sirbayes' team to continue the work on curriculum design, towards a general computational model of teaching.
Listening to @SemiAnalysis_ and @dwarkesh_sp Dylan rants made me realise: at one point Dylan was complaining about "releasing too much alpha" - however if he didn't share anything no one would care listening.
So maybe the meta is to share just enough to influence the market?
Botos Csabi retweeted
Applications for the first round of lightconecommons.com are closing this Sunday!
We'll likely facilitate $35M of grants by end of October. The application process is minimal and extremely flexible. If you have an ambitious project of almost any scale, send in what you have.
Botos Csabi retweeted
We hope LittleLearner + LittleCurriculum will serve as a controlled sandbox for studying learning beyond pretraining: from continual learning and interpretability to curriculum design and RL-driven discovery.
📄 Paper: arxiv.org/abs/2608.13545
I am happy to share my first position essay, on modelling one of the most beautiful and most important human interactions: Teaching.
botcs.github.io/academic/gra…
I predict that soon we will have a branching point in frontier AI, where one camp will target super human performance in every aspect and the other will aim to close the gap in every success and failure modes to humans.





