{"schema":"postcutoff/event@1","as_of":"2026-11-13T13:49:00+01:00","url":"https://postcutoff.com/e/2026-05-19-google-gemini-for-science/","md":"https://postcutoff.com/e/2026-05-19-google-gemini-for-science/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":"2026-05-19-google-gemini-for-science","date":"2026-05-19","date_precision":"day","short_title":"Google launches 'Gemini for Science' at I/O 2026","deck":"Co-Scientist, AlphaEvolve and ERA become products","takeaway":"At Google I/O on 19 May 2026, Google bundled its science-research systems into 'Gemini for Science'.","category":"product","category_label":"Products","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":[{"n":1,"title":"Google blog: Gemini for Science (I/O 2026)","url":"https://blog.google/innovation-and-ai/technology/research/gemini-for-science-io-2026/","type":"official","group":"primary","domain":"blog.google"},{"n":2,"title":"Google Research: ERA, from Nature publication to computational discovery","url":"https://research.google/blog/empirical-research-assistance-era-from-nature-publication-to-catalyzing-computational-discovery/","type":"official","group":"primary","domain":"research.google"},{"n":3,"title":"Google Research at I/O 2026","url":"https://research.google/blog/a-new-era-of-innovation-google-research-at-io-2026/","type":"official","group":"primary","domain":"research.google"},{"n":4,"title":"Nature: An AI system to help scientists write expert-level empirical software (ERA)","url":"https://www.nature.com/articles/s41586-026-10658-6","type":"paper","group":"primary","domain":"nature.com"},{"n":5,"title":"arXiv 2509.06503 (ERA preprint)","url":"https://arxiv.org/abs/2509.06503","type":"paper","group":"primary","domain":"arxiv.org"},{"n":6,"title":"Nature: Accelerating scientific discovery with Co-Scientist","url":"https://www.nature.com/articles/s41586-026-10644-y","type":"paper","group":"primary","domain":"nature.com"},{"n":7,"title":"Google DeepMind: Co-Scientist, a multi-agent AI partner","url":"https://deepmind.google/blog/co-scientist-a-multi-agent-ai-partner-to-accelerate-research/","type":"official","group":"primary","domain":"deepmind.google"},{"n":8,"title":"AIwire: Google pushes forward with new AI for Science tools","url":"https://www.hpcwire.com/aiwire/2026/05/26/google-pushes-forward-with-new-ai-for-science-tools/","type":"press","group":"press","domain":"hpcwire.com"}],"official":7,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google","Google DeepMind","Google Research"],"title":"Google launches 'Gemini for Science' at I/O 2026: Co-Scientist, AlphaEvolve and ERA become products","summary":"At Google I/O on 19 May 2026, Google bundled its science-research systems into 'Gemini for Science'. It has three experimental Google Labs tools: Hypothesis Generation (built on Co-Scientist), Computational Discovery (built on AlphaEvolve and Empirical Research Assistance, ERA) and Literature Insights (built on NotebookLM). It also added a science skills bundle for Antigravity, and Co-Scientist and AlphaEvolve for enterprises in private preview on Google Cloud. The same day, Nature published the ERA and Co-Scientist papers.","key_facts":["Hypothesis Generation: multi-agent 'idea tournament' with cited, checked claims (labs.google/science)","Computational Discovery: tests thousands of code variants in parallel (e.g. solar forecasting, epidemiology); gradual access through a trusted-tester program","Literature Insights: turns papers into tables with custom searchable attributes, reports and audio/video summaries","Science skills bundle for Google Antigravity: 30+ life-science databases incl. UniProt, AlphaFold DB, AlphaGenome API and InterPro","Co-Scientist and AlphaEvolve in private preview for enterprise R&D on Google Cloud; no pricing disclosed","ERA Nature paper ('An AI system to help scientists write expert-level empirical software'): LLM + tree search; 40 of 87 generated single-cell batch-integration methods beat every method on the OpenProblems v2.0.0 leaderboard (preprint arXiv 2509.06503, Sept 2025)","ERA also reached or neared the top of CDC flu/COVID-19/RSV forecasting leaderboards and beat California's Bulletin 120 spring-runoff outlook, per Google Research","Blog authors: Pushmeet Kohli (Google DeepMind / Google Cloud) and Yossi Matias (Google Research)"],"key_numbers":[],"tags":["ai-for-science","ai-scientist","co-scientist","alphaevolve","era","google-labs","antigravity"],"science":null,"body_md":"## What happened\n\nGoogle turned three research systems into products for scientists. Co-Scientist generates hypotheses. AlphaEvolve and ERA search over code to write better scientific software. NotebookLM handles the literature. They ship as Google Labs experiments and a science skills bundle for the Antigravity agent platform, and enterprise R&D teams get private previews on Google Cloud. Nature published the ERA and Co-Scientist papers the same day, alongside FutureHouse's Robin paper.\n\n## Why it matters\n\nGoogle's \"AI scientist\" systems moved from research demos to products. This is the Gemini-centred strategy that later replaced dedicated single-problem teams such as AlphaFold's. The ERA leaderboard results are self-reported by Google, though they are now peer-reviewed.","disputed":[],"related":[{"id":"2026-07-29-deepmind-breaks-up-alphafold-team","url":"https://postcutoff.com/e/2026-07-29-deepmind-breaks-up-alphafold-team/","date":"2026-07-29","date_precision":"day","short_title":"FT: Google DeepMind has broken up its Nobel-winning AlphaFold team","deck":"Jumper, Adler and Pritzel now at Anthropic","takeaway":"It signals that DeepMind is moving from single-problem \"grand challenge\" teams to general Gemini-based AI-scientist systems.","category":"business","category_label":"Business","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":7,"official":1,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google DeepMind","Anthropic"]},{"id":"2026-05-19-gemini-3-5-flash-io-2026","url":"https://postcutoff.com/e/2026-05-19-gemini-3-5-flash-io-2026/","date":"2026-05-19","date_precision":"day","short_title":"Google I/O 2026: Gemini 3.5 Flash, Gemini Spark agent and Antigravity 2.0","deck":null,"takeaway":"3.5 Flash marked the moment Google's cheap tier overtook its previous flagship (3.1 Pro) on agentic coding benchmarks, and it opened a run of four Flash releases in ~106 days.","category":"model-release","category_label":"Model releases","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Confirmed"]},"sources":6,"official":5,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google DeepMind","Google"]},{"id":"2025-05-20-futurehouse-robin-ripasudil","url":"https://postcutoff.com/e/2025-05-20-futurehouse-robin-ripasudil/","date":"2025-05-20","date_precision":"day","short_title":"FutureHouse's Robin multi-agent system proposes ripasudil as a new treatment candidate for dry AMD","deck":null,"takeaway":"It was an early end-to-end AI-driven discovery loop in biology.","category":"science","category_label":"Science & math","importance":3,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":2,"official":2,"filed":"2026-09-29","updated":"2026-09-29","orgs":["FutureHouse"]},{"id":"2025-05-14-alphaevolve","url":"https://postcutoff.com/e/2025-05-14-alphaevolve/","date":"2025-05-14","date_precision":"day","short_title":"AlphaEvolve: Gemini-powered agent discovers new algorithms","deck":null,"takeaway":"A concrete example of LLM-based systems making novel discoveries and improving the infrastructure that trains them — an early form of recursive improvement.","category":"science","category_label":"Science & math","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":4,"official":4,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google DeepMind"]},{"id":"2025-02-19-google-ai-co-scientist","url":"https://postcutoff.com/e/2025-02-19-google-ai-co-scientist/","date":"2025-02-19","date_precision":"day","short_title":"Google's AI co-scientist independently reproduces an unpublished superbug discovery in 48 hours","deck":null,"takeaway":"It was the most-cited early example of an LLM system generating a correct, non-obvious scientific hypothesis.","category":"science","category_label":"Science & math","importance":4,"confidence":"high","status":{"key":"confirmed","labels":["Result confirmed"]},"sources":5,"official":4,"filed":"2026-09-29","updated":"2026-09-29","orgs":["Google","Google DeepMind","Imperial College London","Stanford University"]}],"people":[{"id":"pushmeet-kohli","name":"Pushmeet Kohli","url":"https://postcutoff.com/person/pushmeet-kohli/"}],"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":19,"in_training_data":false},{"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":49,"in_training_data":false},{"model_id":"grok-4-7","name":"Grok 4.7","cutoff":"2026-05","days_after":null,"in_training_data":true}],"short_url":null}