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BASECAST/002: ACCELERATING THE NEXT GENERATION OF ROBOTICS ft. @chris_anm0, Founder & Core contributor Axis Robotics Physical AI won’t be built on models alone, it will be built on data from the real world. Key Timestamps: 1:03 - Chris’ builder journey before Axis 4:09 - What is Axis Robotics? 7:46...

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34,669 Aufrufe • vor 4 Tagen •via X (Twitter)

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Nazimvor 4 Tagen

@axisrobotics gAxis 😎🟦

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Axis Roboticsvor 4 Tagen

based

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SmurfSTvor 4 Tagen

@axisrobotics Huge

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Mizanvor 4 Tagen

@axisrobotics gAxis

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ASHIKvor 4 Tagen

@axisrobotics Axis is compounding real-world robotics data on Base 🟦🎇

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Money Bunnyvor 4 Tagen

@axisrobotics Real world data is the foundation serious robotics builders have been waiting for

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Sanjeeb Dasvor 4 Tagen

@axisrobotics always Based

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Abhivor 4 Tagen

@axisrobotics The train-to-earn model is the interesting part here. Turning real-world robotics data into an incentive layer could scale Physical AI much faster.

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𝙹𝚄𝙽𝙰𝚈𝙴𝚃vor 3 Tagen

@axisrobotics What I see 😲😲

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Akashvor 4 Tagen

@axisrobotics believe in gAxis

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@axisrobotics The future of robotics is looking pretty wild...

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ISAvor 4 Tagen

@axisrobotics gAxis

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Yamanvor 4 Tagen

@axisrobotics gAxis ! 💯

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queyathavor 4 Tagen

@axisrobotics gAxis

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Helen海倫 | 🐬TermMax | (✱,✱)vor 4 Tagen

@axisrobotics real world data huh that tracks

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Sahilvor 4 Tagen

@axisrobotics Anyone with a laptop can train robots now, that’s the unlock

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ryzzuvor 4 Tagen

@axisrobotics gAxis

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Axis Robotics Philippinesvor 4 Tagen

@axisrobotics based🟦

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Crypto Shaidurvor 3 Tagen

@axisrobotics gAxis !

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sweetpanda (✱,✱)vor 3 Tagen

@axisrobotics based.

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𝑺𝒂𝒓𝒊𝒉𝒂 𝑱𝒂𝒏𝒏𝒂𝒕vor 4 Tagen

@axisrobotics gAxis 🤖

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@axisrobotics Based

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@axisrobotics based 🦾👀

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Cyber Paisa🔺vor 4 Tagen

Qué chimba el enfoque. El cuello de botella no es el modelo, es enseñarle al robot a moverse en el mundo real. Y si van a recolectar data diversa, LATAM no es mercado futuro: es el dataset que les hace falta.

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The Train-to-Earn era in robotics is here. Train robots. Earn rewards. All in under a minute. We challenged Axis Robotics and Inverted Lambda on the Axis Robotics training simulator. One of them wasn’t expecting the result… 👇
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The Train-to-Earn era in robotics is here. Train robots. Earn rewards. All in under a minute. We challenged Axis Robotics and Inverted Lambda on the Axis Robotics training simulator. One of them wasn’t expecting the result… 👇

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Anyone with a laptop can now help train robots from anywhere, and earn rewards in the process. With projects like Axis Robotics, Base is pioneering the Train-to-Earn model in the robotics space. Watch 郡主Christine (✱,✱), Co-Founder of Axis Robotics, share the vision and what’s coming next 👇
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Anyone with a laptop can now help train robots from anywhere, and earn rewards in the process. With projects like Axis Robotics, Base is pioneering the Train-to-Earn model in the robotics space. Watch 郡主Christine (✱,✱), Co-Founder of Axis Robotics, share the vision and what’s coming next 👇

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1/7 Physical AI has a data problem. More compute alone won’t teach a robot how to move, grasp, react, or recover from mistakes. LLMs had the entire internet to learn from. Robots need something different: huge amounts of real action data. That’s where Axis Robotics gets interesting. $AXIS is building a data engine for Physical AI, turning robot training into something people can contribute to directly through a browser. The loop is straightforward: Generate → Collect → Process → Deploy → Correct → Repeat. What looks simple on the surface could become something much bigger underneath: a scalable way to produce the training data robots need to become genuinely useful in the physical world. The real unlock for Physical AI might not be another bigger model. It might be better data.
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Ryan Peterman

69,882 Aufrufe • vor 22 Tagen

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