AINewsnow

Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts

arXiv:2610.00314v1 Announce Type: new Abstract: Research agents explain planned experiments. We measure predictive credit with paired forecasts sharing an intervention, forecaster, and outcome while varying description, matched explanation, and donor context. Five checks track commitment, delivery,…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-10-02 04:00 · arXiv cs.AI
    Predictive Credit: Measuring What Scientific Explanations Add to Experimental Forecasts

More stories

  1. Bring near-Astra intelligence to everyday work with GPT-6.1 Sol on Amazon Bedrock — AWS Machine Learning Blog
  2. Gemini 4 Argon: our next era of frontier intelligence — Google Gemini Blog
  3. Introducing Olmo-core 3: Open, scalable training infrastructure for large MoEs — Allen Institute for AI (Ai2)
  4. Google Releases New Gemini Model With Guardrails Amid A.I. Safety Debate — New York Times Technology
  5. OpenAI scraps release of its latest AI model over safety concerns — France 24 — Artificial Intelligence
  6. Introducing GPT-6.1 Sol — OpenAI News
  7. Google tests its plan for AI data centers in space with Project Suncatcher — Scientific American
  8. OpenAI’s Dots Are Always-On AI Agents—and Its Answer to Meta’s Muse — Wired AI

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