Mubit announces platform for agents' recurring tasks, Banyan Sapling and latte/bench
Mubit pitches dedicated models for agents' recurring tasks; MubitLabs describes Sapling as a policy-checking research preview.
TLDR
@notanilp announced Mubit, Banyan Sapling and latte/bench on Oct. 23, 2026. Mubit pitches dedicated models for agents' recurring tasks, while MubitLabs' Sapling card reports 94.22% raw accuracy across 1,731 evaluation cases but calibrated answers for only 779. The card says real-world accuracy is not established. Latte/bench compares simulated latte-pour plans with and without client-side notes, not model-weight learning. Mubit's site invites visitors to join a waitlist.
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