Meta Researcher Rylan Schaeffer Leaves to Found Startup, Reflects on Pretraining Research

Meta researcher Rylan Schaeffer announced his departure to start a company, summarizing two years of pretraining work including scaling laws for generative evaluation and data repetition effects, and expressing regret over not betting earlier on inference-time scaling and automated AI research.

2026-10-20 ~ 2026-10-20 · 4 related posts

• Gold-likelihood predicts GSM8K pass rates better than compute scaling laws — RylanSchaeffer · 2026-10-20
• Schaeffer wraps pretraining work: generative eval scaling laws and data repetition — RylanSchaeffer · 2026-10-20
• Ex-Meta Researcher on His Biggest Regrets: Skipping Inference Scaling and AI Automated Research — RylanSchaeffer · 2026-10-20

1 near-duplicate retellings: RylanSchaeffer