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AI research

8 articles

  1. Agent markets: 85% of the loss comes before negotiation

    Anthropic's book market experiment locates most efficiency loss in preference representation. A look at model choice, preference evals, and market rules.

    Technical articles Multi-agent systems Evaluation AI research
    English

  2. Claude takes a candidate to the lab, not a new CRISPR

    About 950 Claude agents helped identify ART. Human wet-lab experiments confirmed short RNA expression, but its main biological function remains unknown.

    Technical articles Agents Multi-agent systems AI research
    English

  3. When to split a task across agents: check dependencies

    How task dependencies shape multi-agent results, with SAIGE experiments, ablations, and OpenAI guidance for deciding when to delegate.

    Learning guides Multi-agent systems Agent engineering Evaluation AI research
    English

  4. Qwen-Image 2.1: native RGBA and commercial licensing

    Qwen-Image 2.1 offers native RGBA, unified generation and editing, up to 10 reference images, and 2K output. Commercial use needs a separate license.

    Technical articles Multimodal systems AI research
    English

  5. How to score a coding agent that finishes 80% but fails

    Android Bench 2.0 keeps pass rate as a hard gate and adds completion rate to diagnose progress and unfinished acceptance requirements.

    Technical articles Evaluation Developer tools AI research
    English

  6. Anthropic opens internal processes to embedded evaluators

    Anthropic and Accenture extend evaluation beyond model outputs to training, deployment, monitoring, and incident processes, with independence unresolved.

    Technical articles Evaluation Security & privacy AI research
    English

  7. Should an agent keep going or start a fresh attempt?

    Use When Agents Slow Down, Reflexion, Hyperband, and agent evaluation to compare continued revision with independent attempts under reproducible budgets.

    Learning guides Evaluation Memory & context AI research
    English

  8. Agentic search missed an incident. Test the eval too

    The Anthropic incident review shows why automated monitors and LLM graders need coverage, independence, and tests for their own failure modes.

    Technical articles Evaluation Security & privacy AI research
    English

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