AINewsnow

Refusal Slices Keep Agent Scores Honest

An agent score is trustworthy only when the dataset, the metrics, and the controls are frozen before the first scored run. A convenient pass on a free server can debug the harness, yet that same pass cannot become a public claim. The method below treats a dry run as rehearsal and reserves the headl…

Read the full story at DEV Community — Machine Learning ↗

Timeline · 1 report

  1. 2026-10-13 02:38 · DEV Community — Machine Learning
    Refusal Slices Keep Agent Scores Honest

More stories

  1. Meta Releases Muse Wonder AI Models to Enhance Agent Capabilities — Meta Newsroom
  2. MIT Professor Deb Roy Advocates for Accountability in AI-Generated Civic Text — MIT News AI
  3. Character.AI initiates voluntary Chapter 11 bankruptcy for court-supervised sale — Character.AI Blog
  4. Microsoft President Says AI Is Less Regulated Than Milk — BBC Technology
  5. Zuckerberg says Meta has reached AI frontier with new Muse Wonder model — Financial Times AI
  6. Omron to Acquire OnLogic for $675M to Boost Physical AI — Techmeme
  7. Anthropic AI Model Sends False Homicide Tip to Philadelphia Police — Sky News Technology
  8. Epic Games delays game, mandates AI-first production model — Techmeme

Get the daily brief of stories like this at 6:30 every morning →