# Autodata: When an AI Agent Writes Your Training Data

> Meta FAIR's Autodata uses a four-agent loop - Challenger, Weak Solver, Strong Solver, Verifier - to generate synthetic training data at the right difficulty level. A 4B model trained on 2,800 agentic examples outperforms the 397B baseline on legal reasoning without any RL fine-tuning.

Canonical URL: https://kravhal.kcsatish.com/insights/week-35
Edition: Week 20 · June 2026
Tags: Agents, Optimization, LLMs
Reading time: 8 min read

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