← Tuesday, October 20 deck

14Model release

humans& releases Ampersand, a model it says is trained to collaborate with groups of people rather than work alone

No one changes the world alone Introducing Ampersand - the first model built for us. Ampersand is a collaborator trained to help people achieve their individual and collective goals. In multi-month simulations, users collaborating with Ampersand accomplished more than with Fable and other frontier models Available to everyone through our API

Animated video in a paper cut style showing Earth at night, people at sunset, lanterns and candles being lit by many hands, with the words No one changes the world alone, ending on an ampersand and the title Ampersand, the first model for us

Context

Why it matters

It is a bet that the next step for AI is helping people work together, not replacing them, and it is open to developers now.

humans& is an AI startup whose stated focus is AI for humans. Its performance claims come from its own simulations and have not been checked independently.

Deep dive

On October 20, humans& introduced Ampersand with the line No one changes the world alone, calling it the first model built for us. It said Ampersand is a collaborator trained to help people achieve their individual and collective goals, that in multi month simulations users collaborating with Ampersand accomplished more than with Fable and other frontier models, and that it is available to everyone through its API.

The company's blog argues that current training focuses on task completion and shallow preferences, pushing models to work autonomously and replace work rather than enable collaboration. Ampersand v0.1, it says, is its first model trained on long running interactions, to consider where its actions lead and whom they affect.

The model card says Ampersand is built on GLM 5.3, a mixture of experts model with about 744 billion total parameters and about 40 billion active, and a context window of about one million tokens. It lists uses in workplace and social groups, such as reasoning together, surfacing context and working through disagreements, and says it supports people's judgment rather than replacing their decisions.

Access is through humans&'s Agents API with no waitlist, which it says follows OpenAI's Agents API format. The post gave no details of how the simulations were run or measured.

What to expect next

Watch for humans& to publish details of its multi month simulations and for independent tests of Ampersand in real group settings. Developers building team chat and workplace tools will show whether a collaborator model is useful in practice. Also watch for pricing, later versions beyond v0.1, and whether larger labs adopt similar training aimed at group outcomes. Its pricing and limits pages will also show how it compares in cost with the frontier models it was tested against.