Ampersand is trained via simulation feedback to understand long-term consequences of its actions

niloofar_mire · x · 2026-10-21

humans& shared details on how Ampersand was trained: unlike assistant models trained with verifiable or preference reward, Ampersand learns the long-term consequences of its actions through simulation feedback.

The model page argues current paradigms optimize for task completion and shallow preferences, pushing models toward autonomy and replacing work — while good collaborators consider where their actions lead, whom they affect, and whether they help people accomplish goals together. Ampersand v0.1 is the first model trained with this paradigm, available via the Agents API for developers building collaboration tools and apps.

Related event: humans& launches Ampersand, a collaboration model trained via long-horizon social simulation(13 posts)→

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