Autoresearch, Agent Loops and the Future of Work

Andrej Karpathy released autoresearch this weekend — a system where an AI agent runs experiments to improve a language model overnight, keeping what works and discarding what doesn't, while the human sleeps. The project itself is fascinating, but what's more interesting is what it shares with the Ralph Wiggum coding loop pattern and a broader shift happening across domains — from software to sales to finance — where the human's job becomes writing the strategy document and defining "better," and the agent does the iterating.

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