← All IntelClip / AI AgentsFrom 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.
What’s in it
- 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.
Clip transcript
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
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