RuView: Temporal Training Push Plus Field and Security Fixes
Six stacked learner PRs build out a private temporal Train pipeline from durable capture to fit and frozen recovery, while three merged fixes correct Wi-Fi sensing timing, restore calibration on new firmware, and clear critical npm audits.
Duration: PT2M29S
Episode overview
This episode is a short developer briefing from RuView.
It explains recent repository work in plain language.
- Show: RuView
- Published: 2026-11-07T06:03:49Z
- Audio duration: PT2M29S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Hello, this is RuView for Saturday, November 7th, 2026.
Lead story: the codebase is quietly building a full private temporal training loop, while the changes actually shipping fix real sensing errors and supply-chain risk.
First theme is the learner stack. PR 2465 adds an inactive native temporal input path that reuses the existing assembler, fitter and artifact storage, with acknowledged prefixes preserved under the original recovery identity. PR 2467 builds on that with a tagged capture workflow that checks all-source quality across…
Second, field correctness. PR 2472 fixes mesh time alignment: a sequence delta a few hundred frames behind was zero-extended and read as about 4.3 billion frames forward, shifting timestamps by years. Reinterpreting it as signed in both directions fixes it. PR 1002 fixes calibration on acquire-everything firmware,…
Third, release hygiene. PR 2468 marks a vendored browser demo package as private to resolve a name collision, bounds an open peer range, and clears critical audit findings to zero across mobile, dashboard, agent and command-line tools.
What's next: watch for activation of the still-inactive temporal path and cold-recovery validation, plus…
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- Held-Out Learning Data and Discovery Recovery
- Bounded Learner Updates and Scan Corrections
- Training Lineage Survives Resume
- Learner Publication, Zip Security Fix, and Fall Detection
- Encrypted Learning Recovery and Python CI