Native interaction models cut latency to 0.4s
Thinking Machines achieves 0.4s turn-taking latency by training from scratch for concurrent listening and speaking, removing legacy speech wrappers.
Thinking Machines achieves 0.4s turn-taking latency by training from scratch for concurrent listening and speaking, removing legacy speech wrappers.
Herdr v0.7.1 assigns real terminals to agents, preserving TUIs that GUI wrappers break while tracking status via process heuristics.
After six months of false confidence, I found native memory replaced my custom build. Use this one-minute test to verify true agent retrieval.