Lean-Verified Rust Tokenizers Target the Training-Inference Mismatch Killing RL Runs
ying11231 · x · 2026-10-28
srushnlp released "Lean Verified Tokenizers": instead of just testing that training sees the exact tokens a model generated, the project formally verifies key properties of a Rust tokenizer — and prototypes a Lean-verified Rust agent pipeline — in Lean. Radixark notes it extends Miles' Token-In-Token-Out work, calling this the rigor agentic RL needs to avoid training-inference mismatch.
Related event: srush Formalizes Tokenizers in Lean to Fix RL Train-Inference Mismatch(3 posts)→
More from coding & agent
- Sentient OS launches on-device AI that reads your digital life nightly with a local LLM — rohanpaul_ai · 2026-10-28
- DeepMind: AI agents spot bad advice 92% of the time—and follow it anyway — alex_verem · 2026-10-28
- Delta brings real-time multiplayer collaboration to Claude Code via a share link — xiaohu · 2026-10-28
- JetBrains Junie Local ships for RTX Spark and Windows, runs coding agent token-free — kimmonismus · 2026-10-28
- Metatron: a System 1 controller that lets coding agents command humanoid robots — ChongZzZhang · 2026-10-28
- Two days tuning one Tesla P40: 35B MoE with full 262k context at ~60 t/s — sargetun123 · 2026-10-28