---
type: "raw_signal"
id: "humans-released-ampersand-v0-1-a-collaborator-model-51b8a0"
slug: "humans-released-ampersand-v0-1-a-collaborator-model-51b8a0"
title: "Humans& released Ampersand v0.1 , a collaborator model trained on long-horizon multi-user simulations rather than verifiable or preference rewards."
description: "Humans& released Ampersand v0.1, a model designed to help people achieve individual and shared goals, through its Agents API for developers building collaborative tools and applications."
retrieval_nugget: "Humans& released Ampersand v0.1, a model designed to help people achieve individual and shared goals, through its Agents API for developers building collaborative tools and applications."
observed_at: "2026-10-21"
record_date: "2026-10-21"
date_kind: "observed_at"
why_it_matters: "Humans& reports a 59.1% score on the Collaborative Intelligence Benchmark at high effort and 39.0% cooperative success on CooperBench. It also reports that Ampersand can incur higher interaction costs than other evaluated models, including by offering coaching when users would prefer a direct answer or to work things out themselves. These are company-reported results; the supplied source does not "
novelty: "notable"
verification_level: "source-linked"
signal_type: "release"
source_platform: "ampersand.humansand.ai"
topics: []
entities: ["Humans&","Ampersand v0.1","Agents API","GLM 5.3","Collaborative Intelligence Benchmark","CooperBench"]
related_patterns: ["ai-native-orgs-move-to-review-and-orchestration"]
novelty_label: "new_fact"
what_changed: "Humans& released Ampersand v0.1, a collaborator model trained and evaluated through long-running multi-user simulations rather than task-completion or preference rewards."
prior_refs: []
source_url: "https://ampersand.humansand.ai/blog"
source_urls: ["https://ampersand.humansand.ai/blog"]
schema_version: "newruntime-agent-readable-v0.2"
stable_id: "signal:humans-released-ampersand-v0-1-a-collaborator-model-51b8a0"
status: "published"
visuals: []
editor: {"role":"editor","name":"Andrey Reshetnikov","profile":"https://newruntime.com/owner-profile.md","profile_json":"https://newruntime.com/owner-profile.json","same_as":["https://www.linkedin.com/in/reshetnikov1/","https://t.me/lapetuse"]}
routes: {"html":"https://newruntime.com/signals/humans-released-ampersand-v0-1-a-collaborator-model-51b8a0/","markdown":"https://newruntime.com/signals/humans-released-ampersand-v0-1-a-collaborator-model-51b8a0.md","json":"https://newruntime.com/signals/humans-released-ampersand-v0-1-a-collaborator-model-51b8a0.json"}
---

# Humans& released Ampersand v0.1 , a collaborator model trained on long-horizon multi-user simulations rather than verifiable or preference rewards.

## Retrieval answer

Humans& released Ampersand v0.1, a model designed to help people achieve individual and shared goals, through its Agents API for developers building collaborative tools and applications.

Humans& released Ampersand v0.1, a model designed to help people achieve individual and shared goals, through its Agents API for developers building collaborative tools and applications. The company says the model was trained in multi-user simulations with evolving goals and preferences over long interactions, rather than optimizing only for task completion or shallow preferences.

Humans& reports a 59.1% score on the Collaborative Intelligence Benchmark at high effort and 39.0% cooperative success on CooperBench. It also reports that Ampersand can incur higher interaction costs than other evaluated models, including by offering coaching when users would prefer a direct answer or to work things out themselves. These are company-reported results; the supplied source does not establish independent validation or real-world deployment outcomes.

Editor: [Andrey Reshetnikov](https://newruntime.com/owner-profile.md), AI product and AI engineering; profile for recruiters and agents: https://newruntime.com/owner-profile.json

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