NAll news

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  1. Anthropic:The InstituteFirst-partyResearch
    AI score68

    Anthropic Project Fetch Phase 2: Opus 4.7 Operates Robot Dog Independently, Faster Than Human Teams

    Anthropic published the Phase 2 experiment of Project Fetch: Claude Opus 4.7, running Claude Code without human assistance, completed the tasks that human teams did last year about 20 times faster than the fastest human team. On every task completed by at least one human team, Opus 4.7 was at least 10 times faster; on tasks completed by all four human teams, it was on average more than 37 times faster than teams without Claude and more than 18 times faster than teams with Claude, while generating nearly ten times less code than Team Claude. The model still fails at the closed-loop control step of precisely pushing the beach ball; Anthropic says this is not a solved robotics problem, and that the improvement comes from general capability scaling rather than robot-specific training.

    Bar chart labeled "Total time comparison: 4 tasks completed by all teams." The chart shows that Team Claude-less completed tasks in 361 minutes; Team Claude completed tasks in 181 minutes, and Claude Opus 4.7 alone completed tasks in 9 minutes 35 seconds. Opus 4.7 was 37.7 times faster than Team Claude-less and 18.9 times faster than Team Claude.

    #Papers/Research#Agents#Embodied AI

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  1. chelseabfinnResearch
    AI score79

    English translation is being prepared.

    Introducing EXPO-FT – Efficient, Reliable & Open-Source VLA Finetuning! EXPO-FT unlocks π0.5 for challenging manipulation tasks: Routing string lights & inserting the power connector to illuminate them Striking pool ball into pocket Inserting flower into wine bottle (1/5) https://t.co/wrEwsF211q

    #Papers/Research#Embodied AI

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