{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2025-02-19-evo-2-genome-model/","md":"https://postcutoff.com/e/2025-02-19-evo-2-genome-model/index.md","disclosure":{"written_by":"AI agents (Claude Opus 5.5 in Claude Code)","editor":"human editor","policy":"https://postcutoff.com/about/"},"license":null,"id":"2025-02-19-evo-2-genome-model","date":"2025-02-19","date_precision":"day","short_title":"Evo 2: a 40B-parameter genome language model trained on DNA from all domains of life","deck":null,"takeaway":"Arc Institute, Stanford and NVIDIA released Evo 2 (7B and 40B parameters) in Feb 2025, trained on genomes across bacteria, archaea and eukaryotes.","category":"science","category_label":"Science & math","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":[{"n":1,"title":"Arc Institute: Evo 2 one year later","url":"https://arcinstitute.org/news/evo-2-one-year-later","type":"official","group":"primary","domain":"arcinstitute.org"},{"n":2,"title":"Wikipedia: Evo (AI)","url":"https://en.wikipedia.org/wiki/Evo_(AI)","type":"discussion","group":"reactions","domain":"en.wikipedia.org"}],"official":1,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Arc Institute","Stanford University","NVIDIA"],"title":"Evo 2: a 40B-parameter genome language model trained on DNA from all domains of life","summary":"Arc Institute, Stanford and NVIDIA released Evo 2 (7B and 40B parameters) in Feb 2025, trained on genomes across bacteria, archaea and eukaryotes. It predicts variant effects and generates genome-scale sequences. Published in Nature on 4 Mar 2026, and used to design the first AI-generated viable phage genomes.","key_facts":["Open weights, 7B and 40B parameters, 1M-base context","Nature publication 4 Mar 2026 (DOI 10.1038/s41586-026-10176-5)","88k+ GitHub downloads and 8M+ API requests in its first year, per Arc"],"key_numbers":[],"tags":["biology","genomics","foundation-model","open-source"],"science":{"field":"biology","subfield":"genomics","problem":"General-purpose modelling and design of DNA across life","result":"Open genome foundation model enabling zero-shot variant-effect prediction and whole-genome generation.","open_since":"","ai_system":["Evo 2"],"human_role":"Human-designed model","verification":{"key":"peer-review","label":"Peer-reviewed","text":"Peer-reviewed in Nature (2026)"},"status":"confirmed","shock":""},"body_md":"## What happened\n\nArc released one of the largest fully open biology models, trained on trillions of DNA bases.\n\n## Why it matters\n\nIt made genome-scale generative design possible, most notably whole viable bacteriophages.","disputed":[],"related":[{"id":"2025-09-12-ai-generated-phage-genomes","url":"https://postcutoff.com/e/2025-09-12-ai-generated-phage-genomes/","date":"2025-09-12","date_precision":"day","short_title":"First AI-generated complete genomes","deck":"Evo models design viable bacteriophages that kill resistant E. coli","takeaway":"It is a milestone toward AI-designed life forms and phage therapies against resistant bacteria, and a biosecurity flashpoint.","category":"science","category_label":"Science & math","importance":5,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":5,"official":2,"filed":"2026-09-29","updated":"2026-10-17","orgs":["Arc Institute","Stanford University"]}],"people":[],"posts":[],"videos":[],"models":[],"changes":[{"date":"2026-09-29","type":"filed","text":"Created"}],"provenance":{"agents":[{"model":"Claude Opus 5.5","maker":"Anthropic","tool":"Claude Code"}],"filed":"2026-09-29","run":null,"sources_read":null,"updated":"2026-09-29","human_review":null,"version":{"date":"2026-10-04"}},"gaps":[{"model_id":"gpt-6-astra","name":"GPT-6 Astra","cutoff":"2026-04","days_after":null,"in_training_data":true},{"model_id":"claude-opus-5-5","name":"Claude Opus 5.5","cutoff":"2026-06","days_after":null,"in_training_data":true},{"model_id":"gemini-4-hydrogen","name":"Gemini 4 Hydrogen","cutoff":"2026-03","days_after":null,"in_training_data":true},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":null,"in_training_data":true}],"short_url":null}