We Should Revisit Literate Programming in the Agent Era

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The number of barrels of oil per day that Iran is successfully moving through the Strait of Hormuz—more than the 2 million per day it exported before the war started, according to the shipping research firm Kpler.。关于这个话题,WhatsApp Web 網頁版登入提供了深入分析

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The idea: give an AI agent a small but real LLM training setup and let it experiment autonomously overnight. It modifies the code, trains for 5 minutes, checks if the result improved, keeps or discards, and repeats. You wake up in the morning to a log of experiments and (hopefully) a better model. The training code here is a simplified single-GPU implementation of nanochat. The core idea is that you're not touching any of the Python files like you normally would as a researcher. Instead, you are programming the program.md Markdown files that provide context to the AI agents and set up your autonomous research org. The default program.md in this repo is intentionally kept as a bare bones baseline, though it's obvious how one would iterate on it over time to find the "research org code" that achieves the fastest research progress, how you'd add more agents to the mix, etc. A bit more context on this project is here in this tweet.。关于这个话题,whatsapp提供了深入分析

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