Clip / AI Agents

From Karpathy's auto-research to agents improving agents

From Agents Building Agents - Alfonso Graziano, Nearform · ≈8:18

Frames the whole approach by pointing at prior evidence that a coding agent tweaking ML code can measurably improve results, then asks whether the same loop transfers to agents.

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Frames the whole approach by pointing at prior evidence that a coding agent tweaking ML code can measurably improve results, then asks whether the same loop transfers to agents.

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it can retrieve all the context it needs, of course, in a secure way. Now, the question is can an AI agent improve another AI agent autonomously or semi-autonomously? And um Karpathy, Andrej Karpathy, which is one of the most well-known AI scientist on the planet at the moment, implemented something which is called auto research. Basically, auto research is a uh loop which um updates the code, updates the hyper parameters, updates the the actual Python code of machine learning algorithms. And it actually shows that a coding agent tweaking the code of machine learning um of a deep learning algorithm