Joined January 2009
217 Photos and videos
My 6-month AI research project came to an end. I managed to train a pure neural network model to play Snake perfectly. I learned a lot about reinforcement learning along the way. Check it out here: elichen.github.io/snake/inde…

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“When you think to take determination of your fate into your own hands, that is the moment you can be crushed. Be cautious. Allow for surprises. When we create, there are always other forces at work.” - Dune
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WE DID IT!!!
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Eli Chen retweeted
you can outsource your thinking but you cannot outsource your understanding
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as we learn to work with alien intelligence, we also discover what makes humans unique
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I see frontier AI coding to be a two way context loading process: Human -> AI : provide context about problem to be solved AI -> Human : load up the human with depth about the solution, observation, and results This symbiosis is needed to get the best out of both participants.
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Gpt-5.5 solved it with an RNN.. though it seems a bit reward hacky
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For debugging with coding agents, I've found "RCA" to be a good incantation. It causes the AI to do root cause analysis without writing any code.
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can you imagine codex with a neuralink interface
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experimentation productivity is so important these days
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Using large neural networks to train small neural networks is super fun.
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Don’t tell me continual learning will be solved with a long context window and nightly compactions
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player of games
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auto-tune is the music industry's first self-inflicted cut
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token economics
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high model empathy
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