AINewsnow

An Explicit Feedback Contract for Iterative ML-Agent Harnesses

arXiv:2610.28798v1 Announce Type: new Abstract: Iterative ML agents develop models by editing code, running experiments, reading a validation score, and choosing what to try next. In current harnesses this loop is served by an exact validation score returned after every attempt, which leaves the va…

Read the full story at arXiv cs.LG ↗

Timeline · 1 report

  1. 2026-10-22 04:00 · arXiv cs.LG
    An Explicit Feedback Contract for Iterative ML-Agent Harnesses

More stories

  1. OpenAI brings frontier models and Codex to Google Cloud — OpenAI News
  2. Recursive Releases Flint, an Open-Weight 40B MoE Local Coding Model for Agents with 2.5B Active Params — MarkTechPost
  3. Meta to create a new class of shares to fund AI push — The Verge AI
  4. NVIDIA Cosmos Opens New Tools to Train, Evaluate and Deploy World Models — NVIDIA Blog
  5. How Companies Are Using NVIDIA DSX to Break the Power Bottleneck — NVIDIA Blog
  6. Websites pulled offline worldwide as AI finds critical security flaws — South China Morning Post Tech
  7. Solving a 31-year-old grand challenge in mathematics – the KLS conjecture — Microsoft Research Blog
  8. OpenAI acquires Orchestra Bio to fold drug-development agents into Rosalind — OpenAI News

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