Ampersand Training Revealed: Simulation Feedback Over Rewards, Scaling RL Long-Horizon

gharik · x · 2026-10-21

Humansand shared how its Ampersand model was trained: unlike assistant models trained with verifiable or preference rewards, Ampersand learns the long-term consequences of its actions through simulation feedback.

Team members parth29, saurabhshah2, and joeyxhong handled the RL scaling work. This diverges from mainstream RLHF/RLVR pipelines and underpins Ampersand's positioning as a long-horizon collaborator that "learns with us."

Related event: Startup humans& launches Ampersand, a collaboration model trained on simulation feedback(17 posts)→

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