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2026-07-16
日期、来源、摘要、可信度和合规说明均来自通过完整审核门禁与哈希校验的每日公开快照；周报发布后由同期完整发布包接管。
RSS 公开元数据：What building Shippy taught us about building agents。Shippy is a maritime AI agent built for high-stakes decisions, where the wrong answer has real impacts. Here's the architecture behind it—and the lessons we're carrying into Ai2's other environmental platforms. Shippy answering a live query about Ghana's EEZ. The response shows its work: the boundary source, the data cutoff, the query timestamp, and a deep link back to the Skylight map so the analyst can verify every number. Building an AI agent for a high-stakes operational domain like protecting the ocean is, above all, a problem of reliability. For a maritime analyst, a wrong answer could send a patrol vessel miles in the wro... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
打开公开来源RSS 公开元数据：Model Routing Is Simple. Until It Isn’t.。Building a router into your agent sounds like an easy win. Send simple requests to cheaper models, reserve expensive ones for harder tasks, or route by specialty — Claude for code, Gemini for multimodal, and so on. A classifier or heuristic makes the call, costs go down, performance stays up. Done. Except it’s not. Most routing systems assume that model selection is a classification problem. In our experience building routing into agentic systems, what looks like a model-selection problem quickly becomes a systems optimization problem. Three dimensions made this surprisingly hard for us. 1. Cost Is More Than Model Pricing We expected GPT-4.... 来源：RSSHub。RSSHub public RSS metadata only; no full article body stored. Trafilatura public URL extraction; stored short extract only, no full article body, cookies, or headers.
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