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Anthropic’s AI Claude discovers CRISPR-like enzyme system ART

Anthropic announced that its AI model Claude autonomously discovered a new enzyme system called array-associated reverse transcriptases (ART) in a DNA sequence database, noting structural similarities to CRISPR. The discovery emerged from Anthropic’s life sciences research lab in the Bay Area, launched in spring 2026, where 950 Claude agents analyzed over 200,000 reverse transcriptases for 21…

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Key points

  • Claude identified ART after 950 agents analyzed 200,000+ reverse transcriptases for 21 hours using 210 million tokens.
  • ART consists of a reverse transcriptase, partner gene, and evenly spaced DNA repeats; expressed as short RNAs in early tests.
  • Anthropic’s Bay Area life sciences lab, active since spring 2026, conducted the work with human scientists validating AI candidates.

While all sources agree on the core discovery process and ART’s basic structure, only CoinCentral names the six human scientists involved in the project and quotes Dario Amodei’s X post about Stanford’s independent work on a comparable system. Malay Mail is the only outlet to report Amodei’s remarks to the UN Security Council, where he called ART a potential new gene editing mechanism with applications in gene therapy. Note.com emphasizes the philosophical shift in scientific discovery enabled by AI, framing ART as part of a broader trend where AI identifies anomalies in vast data streams that humans might overlook.

The story so far

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  1. Anthropic’s AI Claude discovers CRISPR-like enzyme system ARTthis story
Full story from cryptobriefing.com · by Editorial Team · via Search: ClaudeOpen source ↗

Anthropic’s AI Claude discovers new enzyme system akin to CRISPR

cryptobriefing.com · 23 September 2026

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This text was published by cryptobriefing.com and written by Editorial Team. It is reproduced here with attribution so you can read it in full; the rights remain with the publisher. Read it at the source ↗

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AnthropicRocheGenentechBristol Myers SquibbAlphabet’s Isomorphic LabsOpenAIClaudeDario AmodeiFeng ZhangEric Kauderer-Abrams

The headline, key points and digest above were generated by Digest AI's editorial model from the linked sources. Automated summaries can contain errors: the sources are the record. Spotted a mistake? Tell us. Published by Martin K., who runs Digest AI and handles corrections.

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