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  1. Dyna Robotics65

    Dyna Robotics reviews 10 months of production deployment, discusses robotics bubble and three paths

    Based on a review of nearly 10 months of real customer deployments, Dyna Robotics believes the timeline for converting robotics capabilities into commercial value is longer than current funding assumptions suggest, and that much of the market is a bubble. The article presents three judgments: hardware is not the same as a channel, pretraining data scale is not the same as downstream capability, and building deployment systems is underestimated. It says Dyna-1, released in April 2025, ran autonomously for more than 24 hours on tasks such as napkin folding with a success rate above 99%, but deployments did not self-accelerate, and no one in the industry has yet validated at scale that a second deployment is faster than the first.

    Why it matters: Based on the author's review of nearly ten months of real deployments, the piece points out differences between the pace of robotics commercialization and the LLM curve, offering a useful reference for judging an industry bubble.

  1. 线性资本62

    Bot Auto's Hou Xiaodi on the First Fully Driverless Truck Order and Commercialization Standards for Autonomous Driving

    Linear Capital shared an interview with Bot Auto founder Hou Xiaodi on Zhijian autoweek, in which he said that on April 30, the day before Musk announced the production version of the SemiTruck had rolled off the line, Bot Auto completed the first fully driverless autonomous truck commercial order in the United States, with no safety driver and no real-time remote human backup.

    Why it matters: The interview systematically lays out a commercialization judgment framework centered on CPM, which can be used to understand the differences between L4 companies and L2+ companies on metrics and issues.

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