RuView: Training Lineage Survives Resume
Eight pull requests center on preserving managed training provenance and sealed history across resume so restored models can still qualify. Paired-phone visibility, radio preflight checks, and native USB onboarding round out the reliability work.
Duration: PT2M22S
Episode overview
This episode is a short developer briefing from RuView.
It explains recent repository work in plain language.
- Show: RuView
- Published: 2026-11-05T06:03:59Z
- Audio duration: PT2M22S
Transcript excerpt
This excerpt keeps the crawler page concise. Listen to the episode or use the RSS feed for the full update.
Good morning, it's November 5th, 2026, with your RuView developer briefing.
The throughline across eight pull requests is training continuity: making sure a restored model keeps the proof it needs to qualify, instead of failing silently after recovery expires.
First, lineage survives resume. In P R 2449, the managed training path now saves a lightweight, model-bound record of its training history and replay limits, and surfaces eligibility before requesting new checks. That fixes a case where a restored candidate could collect new test data but never qualify. Related work…
Second, paired phones get read-only visibility. P R 2450 adds a bounded progress view reporting installation identity, phase timing and source readiness without requiring private owner access. P R 2446 publishes the managed room layout as a typed local snapshot with operator provenance, withheld on authorization or…
Third, fail fast at the edge. P R 2452 adds preflight checks that reject incompatible bound radio nodes before capture changes any baseline state, avoiding indefinite waits. P R 2445 adds native U S B onboarding alongside the primary serial console for headless boards, keeping buffers and security…
What's…
Nearby episodes from RuView
- Sensing Accuracy Fixes and Learner Integration
- Held-Out Learning Data and Discovery Recovery
- Temporal Training Push Plus Field and Security Fixes
- Bounded Learner Updates and Scan Corrections
- Learner Publication, Zip Security Fix, and Fall Detection
- Encrypted Learning Recovery and Python CI
- Weekly Recap - Guarded Hardware, Fresher Sensing, and Joint Room Learning
- Multi-Source Room Calibration Push