An AI Co-Scientist for Hypothesis Generation from Google DeepMind
Google DeepMind has introduced Co-Scientist, a multi-agent AI system designed to assist in hypothesis generation for scientific research. This system aims to enhance the process of scientific discovery by formulating novel research hypotheses based on existing evidence. Initial applications in biomedical research have shown promising results, including the identification of new drug candidates for acute myeloid leukemia.
- ▪Co-Scientist is built on Gemini and focuses on structured scientific thinking and hypothesis generation.
- ▪The system employs a multi-agent architecture that allows for flexible compute scaling and self-improvement of hypotheses.
- ▪Real-world validations have demonstrated Co-Scientist's ability to identify new drug repurposing candidates.
Hacker News (AI / LLM) files mainly under ai. We currently carry 3,311 of its stories.
Story provenance
Source · retrieval · rights · ranking — open for full record
inspect →
Story provenance
Attribution is not the same as permission. This drawer separates discovery metadata, excerpts, WeSearch-generated summaries, reuse status, and whether the publisher receives the visit. Nothing here claims a legal grant the publisher has not made.
Record
| Original publisher | Doi |
| Canonical URL | https://doi.org/10.1038/s41586-026-10644-y |
| Publication time | Wed, 20 May 2026 00:39:46 +0000 |
| Retrieval time | 2026-05-20T00:44:58.787Z |
| Last seen | 2026-05-20T00:44:58.787Z |
| Headline source | Publisher (no WeSearch rewrite) |
| Excerpt source | publisher body |
| Excerpt method | First ~120 words (~800 chars) of extracted publisher body, fair-use limited. |
| Summary | WeSearch · cerebras-chat (WeSearch summarizer) |
| Summary source text | contentText |
| Citation coverage | Summary is a WeSearch-generated derivative; primary citation is the original publisher URL. |
| Cluster | -joM1tpLg0kc |
| Cluster logic | Grouped by semantic title/content similarity across sources within a rolling window. Same-publisher template collisions are excluded from coverage comparison. |
| Ranking reason | Story pages are not engagement-ranked. Hub feeds use recency, with optional source-diversified chronological ordering (cap consecutive stories per source). No personalized ranking. |
| Publisher visit | Yes — open original |
| Substitutes article? | No — link-out required for full text |
Rights status (four layers)
WeSearch handling by dimension
| Indexing | May the item be indexed (stored, ranked, made findable)? | Allowed |
| Snippet | May a short excerpt of the publisher's text be shown? | Allowed |
| AI summary | May WeSearch generate its own short summary of the article? | Limited |
| Retrieval / RAG | May the content be exposed for third-party retrieval-augmented generation? | Not asserted |
| Model training | May the content be used to train AI models? | Not asserted |
| Commercial reuse | May the content be reused commercially? | Not permitted |
Basis: Derived from the published RSS/Atom feed. Contact: [email protected]. Reviewed: 2026-07-24.
Opening excerpt (first ~120 words) tap to expand
Article Published: 19 May 2026 Accelerating scientific discovery with Co-Scientist Juraj Gottweis ORCID: orcid.org/0009-0000-6348-55921 na1, Wei-Hung Weng ORCID: orcid.org/0000-0003-2232-03902 na1, Alexander Daryin ORCID: orcid.org/0000-0002-7549-97021 na1, Tao Tu ORCID: orcid.org/0000-0001-9191-79382 na1, Petar Sirkovic1 na1, Artiom Myaskovsky1 na1, Grzegorz Glowaty1 na1, Felix Weissenberger1 na1, Alessio Orlandi1 na1, Dan Popovici3, Anil Palepu ORCID: orcid.org/0000-0002-4720-87873, Keran Rong ORCID: orcid.org/0000-0002-4422-13612, Ryutaro Tanno ORCID: orcid.org/0000-0002-8107-67302, Khaled Saab ORCID: orcid.org/0000-0003-1427-04692, Fan Zhang3, Jacob Blum4, Andrew Carroll ORCID: orcid.org/0000-0002-4824-66893, Kavita Kulkarni3, Nenad Tomašev ORCID: orcid.org/0000-0003-1624-02202, Dina…
Excerpt limited to ~120 words for fair-use compliance. The full article is at Doi.
Discussion
0 commentsMore from Doi
