AINewsnow

Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools

This story is from 2026-09-09. It is preserved in the archive; the latest stories are on the live feed.

arXiv:2609.05587v1 Announce Type: new Abstract: Existing evaluations of tool-using agents primarily measure whether an agent can successfully complete diverse tasks with tools. These evaluations generally assume that tools return reliable information. However, tool returns in real-world systems can…

Read the full story at arXiv cs.AI ↗

Timeline · 1 report

  1. 2026-09-09 04:00 · arXiv cs.AI
    Agents Trust Tools Too Much: Measuring Reliance on Unreliable Tools

More stories

  1. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  2. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  3. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  4. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  5. Meet the Data Agent in ChatGPT Work — OpenAI YouTube
  6. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
  7. TypeSafe AI Releases Jev: A System One Model That Returns Typed, Calibrated Decisions Instead of Text — MarkTechPost
  8. AI's role in building AI surging? Anthropic says Claude now leads 26% of its R&D — Mint AI

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