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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.
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Anthropic Agent 市场:85% 的效率损失发生在谈判前 Anthropic 的 Agent 市场实验显示,主要效率损失发生在偏好表示和匹配阶段。本文拆解模型选择、偏好 Eval 与市场规则。
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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.
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Claude 把候选推进湿实验,但这不是新 CRISPR Anthropic 用约 950 个 Claude Agent 从大规模逆转录酶候选中筛出 ART,并由人类湿实验验证短 RNA 表达,但 ART 的主要功能仍未知。
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GPT-6 prompt caching becomes an agent state layer GPT-6 adds cache breakpoints, diagnostics, prewarming, and mutable configuration. Long-running agents need stable shared prefixes and cache-hit monitoring.
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GPT-6 Prompt Cache 变成了 Agent 的状态层 GPT-6 增加 cache breakpoint、诊断、预热和可变配置。长跑 Agent 需要主动保持共享前缀稳定,并监控缓存命中率。
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Deploying agent backends with Python Workers GA Python Workers GA supports web frameworks and agent libraries. WebAssembly package compatibility remains the main migration boundary.
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Cloudflare Python Workers GA 后,Agent 后端怎么部署 Python Workers 已进入 GA,FastAPI、Django、Flask 以及 openai、langchain、mcp 可以直接运行在 Workers。真正的迁移边界仍是 WebAssembly 包兼容性。
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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.
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Qwen-Image 2.1 原生透明图很适合做资产,但商用要另取许可 Qwen-Image 2.1 支持原生 RGBA、统一生成编辑、最多 10 张参考图和 2K 输出,但仓库许可证默认只授权非商业研究与评测。
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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.
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Coding Agent 做完 80% 还失败,Eval 怎么记 Android Bench 2.0 保留 Pass rate 作为硬门禁,再用 Completion rate 解释长任务已经完成多少,以及问题卡在哪一类验收。