Agent-ready YouTube transcripts: 612 of 613 speakers identified correctly
zealcaiden · x · 2026-10-24
Developer zealcaiden shared real-world results for @ArcmiraAI's YouTube transcript tool: it identified 612 of 613 named speakers correctly in the test set, a lower bound precision of 0.991. The pitch: agents doing video retrieval have been held back by low-quality transcripts, and wiring in this source lets agents search "actually good" YouTube transcripts for analysis, citation, and extraction workflows.
Related event: Arcmira's YouTube transcription identifies 612 of 613 speakers(2 posts)→
More from coding & agent
- TURTLE paper auto-evolves tool-use benchmarks, boosting hard tasks on AppWorld by 165% — MichaelD1729 · 2026-10-24
- LangChain fixed its design agent's AI slop with skills, a design wiki, and guardrails — LangChain · 2026-10-24
- SplatLab: an autonomous research system that writes submission-ready 3DGS papers beating SOTA by up to +3.78 dB — zhenjun_zhao · 2026-10-24
- Chronos: a Postgres-compatible database where agent changes land only if they pass your policies — Antique-Willow-5841 · 2026-10-24
- Agent sandbox boat.dev hits 1,026 paying subscribers with $20/mo per-second-billed VMs — ycombinator · 2026-10-24
- Claude Code Team OS: put your whole product team's context in one shared repo — aakashgupta · 2026-10-24