Why AI labs must own meeting software: spoken context is the missing fuel for agents
signulll · x · 2026-11-13
The author argues AI labs are fundamentally context engines, and agentic intelligence scales with context. Emails, docs, messages and code are already digitized, but spoken context—decision rationale, disagreements, tradeoffs, institutional knowledge—remained uncaptured (remember human PMs taking meeting notes?).
Third-party note-taking tools spawned unicorns but require wrangling integrations and MCPs; context capture belongs as close to the model as possible. Anthropic shipped Claude Meetings and finds it very useful internally; the other prominent lab should have made meetings a primitive sooner, and new AI office suites are now being completed at breakneck pace.
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