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RATED: Reliability-Aware AI Agent Tool Retrieval via Execution Dynamics

As AI agents increasingly rely on external tools, accurate retrieval is essential for reliable behavior. Existing methods optimize semantic relevance but largely ignore tool availability during execution. To address this gap, we propose RATED (Reliability-Aware Tool Retrieval via Execution Dynamics), a retrieval framework that combines robust semantic matching with dynamic reliability adaptation.…

We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.

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[Editor's Pick] OpenAI's $20 Billion Revenue Gap and NVIDIA-Backed Firmus' IPO Withdrawal

Financial markets are facing a more demanding task in assessing the growth prospects and valuations of artificial intelligence companies.

  • OpenAI's annual revenue nears $50 billion, $20 billion less than previously reported $70 billion
  • OpenAI excludes cloud partner sales from Anthropic in revenue calculations
  • Australian AI firm Firmus cancels $5 billion IPO due to valuation concerns over future expansion

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