TAOLIVE POST-TRAINS A SMALLER MODEL TO FOLLOW A CHANGING HARNESS

Summary from the TLDR AI newsletter

Harness-Aware Training is a post-training recipe rather than a new model architecture. TaoLive varies skill names and wording, tool schemas, prompt structure, and hook behavior during supervised fine-tuning and agentic reinforcement learning, teaching a compact 35B model to interpret the harness it currently receives instead of memorizing one fixed interface. It is useful post-training work, but the evaluation is vendor-authored, concentrated in live commerce, and not sufficiently groundbreaking for engineering and research.