Three tips to make your model stop overcautious actions and converge faster
tokenbender · x · 2026-11-01
tokenbender shares three points worth making your model aware of: recognize actions it takes out of anxiety and overcautiousness; stop stacking metrics/numbers/tests instead of figuring out what is actually missing; and use the right meta query so the process converges immediately.
More from coding & agent
- Stanford student accused of AI-written paper cleared after rebuilding it live with prompts — elonmusk · 2026-11-01
- ComfyUI Batch Timer Nodes v0.2.3 Add Triple Timing Modes, Smart ETA and Watchdog — HermanKwan · 2026-11-01
- Indie builder shares multi-model agent pipeline: Opus manages, Astra builds, Grok reviews until 2-3K tests pass — PawelHuryn · 2026-11-01
- Building a Kubernetes for agents: agentic loop as the new job controller loop — rakyll · 2026-11-01
- Lovable went enterprise, Bolt went local, Replit went operational: 3 divergent bets — AJChadha · 2026-11-01
- Dev shares safety architecture for self-improving agent: out-of-band release controller with passkey approvals — viksit · 2026-11-01