claude
a1e97c94ac
Same arrangement as llm.Pair and for the same reason. The microphone is at workpc, the card there has 16GB, and CrisperWhisper 2.0 turbo scores 10.4% WER in Russian against 27.5% for the ggml-small.bin homesrv loads. The workstation is never assumed up: it sleeps, and the card is often held. Admission is a cached atomic written only by the prober, so no voice turn ever waits on a machine that may be asleep. Speech-to-text has only the silent half of the degradation rule. A worse transcript is still a turn, so there is nothing to name a gap about and Transcribe always falls back. That is the whole difference from llm.Pair, which also carries CompleteRemote for callers that must refuse instead. A remote that dies mid-request corrects the cache and falls back in the same turn, which is what TestPairFallsBackWhenRemoteFails pins. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_013ptwopxyo3Z2kwFckHkLvN