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Teach Embedding as indexed lookup and exact vector geometry - #3

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ai-embedding-20261027
Oct 27, 2026
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hash-panda merged 1 commit into
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ai-embedding-20261027

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Adds lesson 02 at /learn/embedding/: a fixed 4×2 teaching table, zero-based row selection, unchanged vector copy, equal-scale plotting, and a controlled comparison showing why nearby IDs need not produce nearby vectors. One synchronized callout and timeline drive the lesson; paused configuration, a prediction check, source boundaries and reduced-motion controls remain inspectable.

Validation: npm run check passed, including golden vectors, distance/cosine invariants, invalid IDs and deterministic forward/backward samples; existing mechanical checks unchanged. Managed Chrome desktop and 390×844 iframe exercised playback/completion, pause/resume, seek, reset/replay, quiz feedback, parameter changes, formula dialogs and manual reduced-motion. Controlled visibility-event harness verified pause/no automatic resume; no claim of observed OS tab suspension, physical phones or measured learner gains.

Catalog/roadmap mark this as reviewed pending production verification. Publication receipt follows only after this head passes CI, preview checks and a matching READY production deployment.

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Project Deployment Actions Updated
explain3d Ready Ready Preview Oct 27, 2026 6:56am UTC

@hash-panda
hash-panda merged commit 2420d77 into main Oct 27, 2026
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