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Industry news, technical articles, and product introductions
📚 Claude Tutorials Hub
40+ step-by-step Claude guides — prompt engineering, Claude Code, API, agents. Browse by topic →
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Industry news, technical articles, and product introductions
📚 Claude Tutorials Hub
40+ step-by-step Claude guides — prompt engineering, Claude Code, API, agents. Browse by topic →
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Full recap of the Aug 24 Claude API outage: elevated errors from 04:50–07:36 UTC across Claude Mythos 5, Fable 5, Opus 5 and Opus 4.8, hitting claude.ai, the API, Claude Code and Cowork. Includes the verbatim status-page timeline and tips for developers.
Anthropic handed Claude a 30,000-token prompt, a GPU budget, and 15 protein targets, then walked away. It hit 14 of them at more than double the field's typical success rate, verified in two independent wet labs. The prompt and every data point are now on HuggingFace.
Told by an investor to be a more positive advocate for his own industry, Anthropic's CEO broke his usual social media silence with a long rebuttal. His core claim: the public's hostility toward AI wasn't manufactured by risk warnings — it's decades of accumulated distrust finally arriving at AI's door.
Anthropic published the full mechanics of Claude's text watermark — nothing added to the text, no hidden characters, no extra tokens, no price change. What's more interesting is the other half of the document: the long list of cases where the watermark barely works at all.
A week in, the verdict on Claude Opus 5 is unusually split. CodeRabbit's 96-real-bug benchmark found the highest precision it has ever measured — alongside lower recall and 4x the nitpicks. Claire Vo coined 'neurotic AF' and 'Claudeslop' to complain about it, then ranked it first in her own blind test. Read together: precision up, recall down, verbosity, timidity, and refusing to touch someone's branch are five readings of one knob. Plus a practical guide to choosing failure modes.
Anthropic's unreleased Claude Mythos model spent 60 hours and roughly $100,000 of compute halving the best known analysis of post-quantum candidate HAWK. The next day, HAWK's team withdrew from NIST standardization. Inside the 48 hours: why attacking the 256-bit version killed the whole scheme, the model that refused to try until encouraged for three days, the sober expert assessments — and the real story: discovery took 60 hours, verification took a month.
On July 27, two things happened within hours of each other: Moonshot shipped Kimi K3's 2.8-trillion-parameter weights to Hugging Face just inside its 'by July 27' deadline (1,314 points on Hacker News), and Dario Amodei personally published 'Our position on open-weights models,' opening with a denial: Anthropic has never advocated a ban. This piece verifies what actually shipped, reads the benchmark footnotes, and lays out why 665 HN comments largely refused to take yes for an answer.
425 RMB buys $3,333 of official Anthropic credit — a 97.8% discount. That is not a promotion, it is the retail price of a four-layer supply chain. This is an anatomy of the relay market: who sits at each layer, which two open-source projects it runs on, where the money comes from, and the part most product teams miss — if your product exposes model capability, you are already inventory in somebody's account pool.
A practical guide to using XML tags in Claude prompts so context, instructions, examples, and answers stay cleanly separated.
A practical guide to Claude web search, including when to use it, how citations work, and how to prompt for reliable current information.
A practical guide to using Claude's vision capabilities for image analysis, with prompt patterns, limits, and workflows based on Anthropic's official documentation.
A practical guide to Claude tool use, covering client tools, server tools, sequential workflows, and the points where structured tool calling produces better results than plain prompting.