Rust tokenizer prototype uses Lean proofs to tackle AI training token mismatches

The developer’s blog presents a prototype tokenizer built in Rust, with Lean-checked properties of its implementation. It says re-encoding tokens generated by an AI model can change their IDs and disrupt reinforcement-learning training. The blog also describes proofs for keeping messages and tokens consistent under stated assumptions, and notes that the prototype does not support threaded tokenization.