The day’s evidence extends the recent focus on efficient robot learning into deployment. Vision-language-action (VLA) systems are being optimized across inference, control continuity, and data collection rather than…
VLA deployment teams should measure whether speedups preserve timely, continuous control rather than reporting inference latency alone.
The day’s research treats AI coding agents as systems that need runtime evidence, meaningful tests, and harness-aware scoring.
Agent-authored code needs quality gates that inspect what tests assert, repair loops that pass targeted execution evidence back to the model, and evaluation reports that separate model, harness, environment, verifier…