⚙️ AI Hardware

Autoresearch: AI's Tentative Toddle Toward Self-Training

Andrej Karpathy lets agents loose on nanochat—and they actually speed things up. A tiny spark of recursion, or fool's gold in the AGI chase?

Aisha Patel 📅 Mar 19, 2026 ⏱️ 3 min read 👁️ 5 views

⚡ Key Takeaways

Karpathy's autoresearch nets 11% faster training on nano models via agent tweaks.
Verification, not generation, chokes self-improving loops—echoing 2010s AutoML failures.
Vibe training lets humans offload bugs, but full recursion stalls without trusted judgment.

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Written by

Former ML engineer turned writer. Covers computer vision and robotics with a practitioner perspective.

#autoresearch #nanochat #recursive self-improvement #vibe training

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Originally reported by Latent Space