Agents2h ago
Autonomous AI Attempts NanoGPT Speedrun
A developer is using an autonomous agent to optimize the NanoGPT codebase for maximum training speed. The system iterates through architectural tweaks and hyperparameter shifts without human intervention. This experiment tests whether AI can out-engineer humans in low-level model optimization. Results will determine if agentic workflows can reliably shrink training times for small-scale LLMs.