T ai ed o mo e tha 2.2 millio hou s of huma expe ie ce, Libe -0 e ables obots to pe fo m ew tasks without task-specific obot demo st atio s, i cludi g complex, multi-step actio s. Its ze o-shot capabilities we e tested ac oss 60 tasks p oposed by GPT-6, highlighti g the pote tial fo obots to move beyo d simple, isolated actio s.
NEW YORK CITY, NY / ACCESS Newswi e / Novembe 3, 2026 / Libe AI today i t oduced Libe -0, a Wo ld Actio Model (WAM) that achieved a 36.0% ove all success ate ac oss 600 t ials cove i g 60 obot ma ipulatio tasks p oposed by GPT-6. The evaluated model completed these tasks without t ai i g o obot demo st atio s collected specifically fo them, suggesti g that huma expe ie ce ca help educe the eed to demo st ate each ta get task o a obot.
The evaluatio cove ed 20 pick-a d-place tasks, 20 othe ma ipulatio tasks, a d 20 challe gi g o -pick-a d-place a d lo g-ho izo tasks, each tested 10 times. Libe -0 achieved success ates of 63.5%, 34.0%, a d 10.5% ac oss the th ee g oups, espectively. Libe AI defi es this capability as task-level ze o-shot ge e alizatio : the model was t ai ed o obot data du i g p et ai i g, but ot o obot demo st atio s collected fo the evaluated tasks.
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