Сообщается о машиночитаемых метках в ответах Claude, но детали внедрения не подтверждены

to disclosing the existence of the generated or manipulated content “in an appropriate manner that does not hamper the display or enjoyment of the work”. [...] Providers of AI systems (including general-purpose AI systems) that generate synthetic audio, image, video, or text must ensure that outputs are both marked in a machine-readable format and detectable as AI-generated. This is a technical obligation aimed at provenance: enabling detection tools to verify whether content is AI-generated. The specific technical standards for this marking are being developed through the Code of Practice and complementary EU standardisation work. Providers should track these developments closely, as practical implementation details are still being finalised ahead of August 2026. [...] While these obligations apply from 2 August 2026, the AI Omnibus provisional agreement of May 2026 grants generative AI systems already on the market before that date until 2 December 2026 to meet the machine-readable

signaling) that has been enabled and tested rather than merely available in the underlying model or platform. [...] ### Short-Term Mitigations [...] ### Strategic Considerations

2 August 2026. Article 50 of the EU AI Act becomes enforceable. The European Commission published the second draft Code of Practice on marking and labelling of AI-generated content on 5 March. The final Code lands May or June. That gives product teams roughly eight weeks between final text and enforcement. The Code is technically voluntary. In practice, it is the benchmark regulators will use. If you are a provider, you build or deploy a generative AI system producing audio, image, video, or text: - Your outputs must carry at least two layers of machine-readable active marking - Layer 1: digitally signed, tamper-evident metadata - Layer 2: an imperceptible watermark interwoven in the content, designed to survive compression, cropping, and format changes [...] Meanwhile, Reuters reported that within the federal government, Anthropic’s models were widely viewed as more capable than rival offerings. Reuters also reported one contractor saying Claude was “the best,” while Grok often gave i

### Mark AI-generated content so it can be detected (Article 50(2) - providers) Providers of AI systems that generate synthetic audio, images, video or text must: (i) mark their outputs in a machine-readable format; and (ii) provide a corresponding means of detection – so that people can identify these as artificially generated or manipulated. Marking alone, without a detection solution, is not sufficient. The marking must be embedded using metadata, watermarks, or other interoperable techniques - not visible to end users, but effective and robust enough to survive routine modifications. [...] Skip to Main Content Skip to Footer Travers Smith Legal briefing | | # Is it a bot? EU AI Act transparency rules take effect 2 August 2026 Is it a bot? EU AI Act transparency rules take effect 2 August 2026 ## Overview [...] 7. Update governance and document exemptions. If you rely on any exception (e.g., obviousness, editorial responsibility, artistic use), document the reasoning. Bus

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79 comments ### Transcript: [...] points towards something more scalable than trying to enumerate and patch every individual failure mode. All right, drop your questions in the comments, subscribe if you want to stay ahead of what is coming next in AI. Thanks for watching, and I'll catch you in the next one. [...] So, Anthropic had a genuinely big week, and there's a lot to get through. Some of it exciting, some of it raising real questions, and at least one story from OpenAI that's worth your attention if you care about where alignment research is actually heading. Let's start with the announcement. Anthropic launched Claude Tag, positioned as an evolution of Claude Code, but redesigned for entire teams rather than individual developers. Anthropic's headline stat is that around 65% of the company's own product code is now being written with Claude Tag's involvement. Andrej Karpathy, who joined Anthropic not long ago, framed [music] it as the third major transformation of LLM interface