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Claude Discovers CRISPR-Like Enzyme System
Claude analyzed 210 million tokens in 21 hours to flag a bacteriophage DNA system that Anthropic says may be programmable, though its function remains unknown.
- On Wednesday, September 23, 2026, Anthropic announced that its Claude AI model autonomously identified a novel enzyme system in bacteriophage DNA called array-associated reverse transcriptases after 21 hours of searching through biological data.
- The ART system features a long array of repeating DNA sequences reminiscent of CRISPR, though Anthropic emphasizes the finding is preliminary and its precise function remains unproven.
- Researchers at Anthropic's San Francisco Bay Area laboratory subsequently performed follow-up experiments confirming the DNA array produces distinct short RNAs, validating the AI's identification in a physical setting.
- Anthropic CEO Dario Amodei cited the discovery in remarks to the UN Security Council, suggesting it 'may constitute a new gene editing mechanism' with potential gene therapy applications.
- Independent microbiologists, however, caution that ART lacks proven therapeutic utility, noting the system's significance requires further peer-reviewed research and reproducibility testing before any claims can be validated.
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Mad Scientists: Anthropic Claims Claude AI Has Discovered an Enzyme with Gene-Editing Potential
Dario Amodei's Anthropic says its Claude AI model "autonomously discovered" a new enzyme system resembling the molecular machinery behind CRISPR gene editing, the first result to come out of the company's newly launched wet lab.
·Los Angeles, United States
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Anthropic used about 950 agents for 21 hours to reduce more than 200,000 enzymes to 20 candidates who then pass into the hands of scientists.
·Madrid, Spain
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US-based artificial intelligence company Anthropic has reported that its Claude model has contributed to the discovery of a new enzyme system.
·Istanbul, Türkiye
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The company: 'discovered independently'. Similar to DNA scissors (ANSA)
·Rome, Italy
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Coverage Details
Total News Sources95
Leaning Left7Leaning Right18Center11Last UpdatedBias Distribution50% Right
Bias Distribution
- 50% of the sources lean Right
50% Right
L 19%
C 31%
R 50%
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