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@iamcalledbikini

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Iamcalledbikinii🧉꧁꧂

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@iamcalledbikiniMaritime IntelligencePersonalized WellnessRobotics AI

Decentralized systems analyst~ Ambassador @K2PowerBlock | @tryquantio Collab Manager @mooners__dao~ Memes & markets on the side~ Ghost General of the South©~

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Iamcalledbikinii🧉꧁꧂@iamcalledbikini · Sep 6The most interesting part of a robot learning system isn't how much data it collects. It's whether the model can tell you what data it needs next. That's where @axisrobotics is getting interesting. With its closed-loop approach, the policy attempts tasks, exposes where it still fails, and those failure points become the basis for targeted correction data. And we're starting to see the loop show up in the results. Axis says its second DAgger round moved paired evaluation from 68/160 to an average of 78.3/160 across three seeds. That's more than another bigger dataset. It's a system where the model's weaknesses help determine the next training cycle. Join and complete tasks: https://hub.axisrobotics.ai/login?invite_code=HhbV5YCZ

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Iamcalledbikinii🧉꧁꧂@iamcalledbikini · Aug 22A single robot demonstration is valuable. The ability to multiply it into countless training scenarios is transformational. That's why simulation matters so much in Physical AI. Instead of needing a physical robot for every new variation, @axisrobotics uses simulation to replay trajectories across different layouts, objects, lighting, and physics conditions, creating richer training data from the same human demonstration. The real breakthrough isn't collecting more demonstrations. It's multiplying the value of every demonstration. Want to contribute to Physical AI? Join Axis → https://s.kaito.ai/nU7rgPm

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Iamcalledbikinii🧉꧁꧂@iamcalledbikini · Aug 20The next breakthrough in AI probably won't come from a smarter model. It'll come from better experiences for robots to learn from. Robots already have powerful hardware and capable models. What they don't have is millions of diverse demonstrations of how humans interact with the physical world. LLMs learned from the internet. Robots can't browse reality. @axisrobotics turns browser-based robot demonstrations into training data, then validates and augments them into richer datasets for Physical AI models. The interesting moat isn't another robot. It's building a compounding data engine for Physical AI. Get in now https://s.kaito.ai/nU7rgPm

AxisPaid partnership2.4K views

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