@rohanpaul_ai: Thinking Machines is replacing turn-taking AI with always-present AI. They just announced TML-Interaction-Small, a 276B…

Thinking Machines is replacing turn-taking AI with always-present AI. They just announced TML-Interaction-Small, a 276B-parameter MoE model with 12B active parameters that treats conversation as a live stream instead of a stop-start chat box. Most AI voice systems still behave like walkie-talkies: you speak, they wait, they answer, then their view of the world freezes while they talk. Thinking Machines changes that by slicing audio, video, and text into 200ms micro-turns, so the model can listen, watch, speak, draw, search, and call tools while the interaction is still happening. This is why the demos feel different: the model can interrupt when context demands it, keep talking while listening, react to visual cues, track elapsed time, and hand harder work to a background model without vanishing from the conversation. The architecture is also cleaner than many current real-time systems because interactivity is trained into the model itself rather than patched together with voice detectors, turn detectors, separate speech models, and timing rules. The early numbers are strong: 0.40s turn-taking latency, 77.8 on FD-bench V1.5 interaction quality, and 43.4% on Audio MultiChallenge, which means it is not just fast, it still retains useful reasoning and instruction-following ability. The model can notice timing, silence, overlap, gestures, screen changes, and uncertainty as part of the same context.