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Menu nutrition is a unique-hash problem. Deduplicate by brand and dish, cache LLM rows locally, fan out onto one DynamoDB item per store, and keep spend on the unique set — a full marketplace catalog for about four dollars.
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Why reactive next-token agents feel amnesiac — and how Mneme applies hierarchical memory, global-workspace bottlenecks, and typed beliefs as the meta-intelligence layer for AetherCrew.- Published on
The Motions scientific paradigm — why we treat production AI as structured agency under information and cost constraints, not as unbounded chat.- Published on
What we are building with AetherCrew — a supervisor-graph AI team with hard human gates, pay-per-use compute, and a scientific operating loop from trigger to digest.- Published on
Technical report notes on UmaMeats Streaming Meeting Factorization (UM-SMF) — a causal factorization theorem and overlapped ASR→policy→TTS algorithm that targets GPT-4o Realtime feel without abandoning auditability.