TL;DR for operators A better plan can become a worse agent when the environment keeps moving while the system thinks. STAR makes that reversal unusually clear: Kimi-K2-Thinking leads the unlimited-deliberation evaluation with a rating of 1206.1 and a 1.00 win rate, then falls to 842.6 and a 0.210 win rate in real-time play, where GLM-4.6 leads at 1180.8.1 ...
TL;DR for operators Live video assistants have a simple embarrassment problem: many of them stop watching while they talk. That is fine for a demo clip and disastrous for anything pretending to be real-time. The LyraV paper is useful because it treats this as a systems-control problem, not as a leaderboard beauty contest. The authors introduce Streaming Video-Language Synchrony: instead of processing frames, pausing, decoding a full sentence, and then resuming perception, the assistant interleaves incoming video frames with small chunks of generated tokens.1 The operational goal is not “say more words.” It is “keep seeing while speaking.” ...