Ampersand
Intro
**Ampersand** is a recently tracked product, model, or tool in public channels. The radar excerpt reads: > humans& (ex-DeepMind/OpenAI/Anthropic/xAI founders; $480M seed in Jan) released Ampersand v0.1 on 2026-10-20 (~22:00Z / Oct 21 ~06:00 BJT): its first 'collaborator' assistant model for multi-user group apps, trained against its Persimmon simulated-user model on multi-month long-horizon tasks; available now via Agents API with no waitlist. Claims beats Fable and other frontier models on 'Collaboration Over Time' eval, but scores below Fable 5.1 / GPT-6 Astra on Teamwork test. Digg aggregated 32 sources; X News story. The recorded source label is `X+Web`. Use the public URL below to verify the original post or page.
Explain
Based only on the excerpt, **Ampersand** should be understood from the facts stated there. This write-up does not invent funding amounts, model sizes, or leaderboard scores that are absent from the excerpt or URL metadata. Confirmable points from the excerpt: - humans& (ex-DeepMind/OpenAI/Anthropic/xAI founders; $480M seed in Jan) released Ampersand v0.1 on 2026-10-20 (~22:00Z / Oct 21 ~06:00 BJT): its first 'collaborator' assistant model for multi-user group apps, trained against its Persimmon simulated-user model on multi-month long-horizon tasks; available now via Agents API with no waitlist. - Claims beats Fable and other frontier models on 'Collaboration Over Time' eval, but scores below Fable 5.1 / GPT-6 Astra on Teamwork test. - Digg aggregated 32 sources; X News story. The radar `score` for this entry is `0.86` (an internal ranking field, not a third-party benchmark score).
Usage
To learn more or try **Ampersand**, start from public sources: 1. Open the source link: <https://humansand.ai/> and check the official description and availability. 2. Follow any access path mentioned in the excerpt (API, open weights, waitlist, in-product entry) using official instructions. 3. Before production use, verify license terms, regional availability, and safety limits yourself; do not assume quotas, prices, or eval scores that the excerpt does not state.