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EPISODE · Mar 8, 2026 · 4 MIN

Andrej Karpathy’s AutoResearch

from Intellectually Curious · host Mike Breault

We dive into Andrej Karpathy’s AutoResearch, where autonomous AI agents iteratively rewrite neural-network code, run five-minute training experiments, and optimize a standardized metric (validation bits per byte). With human input limited to high-level directives in a single program.md, these agents drive rapid, fair comparisons and continuous improvement. We explore how this autonomous research approach could accelerate breakthroughs across fields, its potential applications, and the trade-offs of letting machines mostly run the lab.Note:  This podcast was AI-generated, and sometimes AI can make mistakes.  Please double-check any critical information.Sponsored by Embersilk LLC

Episode metadata supplied by the publisher feed · Published Mar 8, 2026

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We dive into Andrej Karpathy’s AutoResearch, where autonomous AI agents iteratively rewrite neural-network code, run five-minute training experiments, and optimize a standardized metric (validation bits per byte). With human input limited to high-level directives in a single program.md, these agents drive rapid, fair comparisons and continuous improvement. We explore how this autonomous research approach could accelerate breakthroughs across fields, its potential applications, and the trade-o...

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Andrej Karpathy’s AutoResearch

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