repoGitHubTrust 82 · PrimaryPublished 3d agoLive · 3d ago
Leonxlnx/unlazy
Anti-laziness skill for AI agents. Core: the Depth Tree method, which splits a task N layers deep and gives every leaf the full time budget of the whole task, so effort multiplies with depth. Grounded in 2025-2026 research on model laziness, underthinking and premature completion.
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Paper → model → repo connections mined from source citations (Tier-1 exact match).
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Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
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- PossiblePossibly related (embedding) · 51%Researchers develop 'hierarchical AI agent' that tackles complex errands with ease - Tech Xplore →
- PossiblePossibly related (embedding) · 52%Unlock Agent Autonomy: The Runtime for AI-Native Systems — Tushar Jain, Docker|AI Engineer - finance.biggo.com →
