Skip to content

chore(weights): per-label PR multipliers for genie-claw (optimization 0.8 / community 0.2)#1470

Merged
anderdc merged 2 commits into
entrius:testfrom
ai-hpc:chore/genie-claw-label-multipliers
Jun 15, 2026
Merged

chore(weights): per-label PR multipliers for genie-claw (optimization 0.8 / community 0.2)#1470
anderdc merged 2 commits into
entrius:testfrom
ai-hpc:chore/genie-claw-label-multipliers

Conversation

@ai-hpc

@ai-hpc ai-hpc commented Jun 12, 2026

Copy link
Copy Markdown
Contributor

Summary

  • Add label_multipliers for the existing Geniepod/genie-claw registry entry: optimization: 0.8, community-contribution: 0.2.
  • Set default_label_multiplier: 0.2 so unlabeled PRs score at the community baseline rather than the implicit 1.0 (which would outrank both configured labels).
  • Leave emission_share, issue_discovery_share, maintainer_cut, and eligibility unchanged.

Why

  • genie-claw's contribution scope (README "The Edge Bet" / accepted-contribution rules) rewards measurable performance PRs — Jetson latency/throughput/memory wins with before→after proof — over general community contributions. This routes the PR score split accordingly: optimization PRs earn 4× the community baseline (0.8 vs 0.2).
  • Labels are applied by the repo owner/maintainers only (no trusted_label_pipeline), matching MAINTAINER_ASSOCIATIONS gating in label_resolution.py.

Validation

  • jq empty gittensor/validator/weights/master_repositories.json
  • git diff --check -- gittensor/validator/weights/master_repositories.json
  • uv run --extra dev pytest tests/validator/test_load_weights.py -q — 137 passed

optimization 0.8, community-contribution 0.2, default 0.2 so unlabeled
PRs score at the community baseline instead of the implicit 1.0.
@xiao-xiao-mao xiao-xiao-mao Bot added the enhancement New feature or request label Jun 12, 2026
@anderdc anderdc merged commit 218888e into entrius:test Jun 15, 2026
3 checks passed
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

enhancement New feature or request

Projects

None yet

Development

Successfully merging this pull request may close these issues.

2 participants