VINAY (✱,✱)

@VishnuCrypx @RayMan @toriola @Xpress Congrats guys I missed today

Huge congratulations to all the FITG winners 🔥👏 🥇 @Rayman — 20 points 🥈 @Toriola — 15 points 🥉 @Xpress — 10 points You really deserved it 👏 Your consistency, effort, participation were all clearly visible… and in the end it also yielded good results. Also a shoutout to everyone who participated 🙌 In competitions like this, it's not just about points, being active in the community, interactions, support - all of these are equally important. Full positive vibes all the way 🤝 Many more wins ahead. @axisrobotics @iamlogtun Onto the next one fam @NGA 🚀

@Aemar00 @axisrobotics @iamlogtun @plpiaoliang Thanks bro

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Great Explanation bro

Everyone talks about AI. But very few talk about the fuel behind it: DATA. LLMs learned from internet data. Robots learn from real-world interaction data. Every physical movement is training data for the next generation of AI. @axisrobotics @iamlogtun @plpiaoliang

@jjk73310 @axisrobotics @iamlogtun @plpiaoliang gAxis

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Very insightful

@holuwagbemegar_ @axisrobotics @iamlogtun @plpiaoliang Thanks fam

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang The picture is so neat Great work fam

@iamlummyjay @axisrobotics @iamlogtun Good one bro gAxis

while touching grass, let’s learn a little about AXIS everyone talks about AI robots like the hard part is the model. Is it really? the bottleneck is data. LLMs had the internet. physical AI has almost nothing. that’s the gap @axisrobotics is trying to solve @iamlogtun

@pafcryptos @axisrobotics @iamlogtun @plpiaoliang Thank you

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang simple and straightforward

@NJakecon92504 @axisrobotics @iamlogtun @plpiaoliang Yeah fam

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang gaxis is future robot

@themiraculous01 @axisrobotics @iamlogtun @plpiaoliang Yeah 💯

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Data is the backbone of the robotics

@VishnuCrypx Good explanation bro

𝐖𝐡𝐲 𝐢𝐬 𝐃𝐚𝐭𝐚 𝐭𝐡𝐞 𝐁𝐚𝐜𝐤𝐛𝐨𝐧𝐞 𝐨𝐟 𝐑𝐨𝐛𝐨𝐭𝐢𝐜𝐬? --> Currently , we are talking about how Ai Can Fast Learning Everything Now a Days . Ex - : (LLM ) Large Language Model has Learning Billion web pages , Books ,videos , other Ralated Real world Interaction By Information Data Learn Via Internet. --> However, robots do not learn merely by "reading." For them to learn, they require doing. -> Physical interaction data is crucial for a robot: -> How much force to apply when lifting an object -> How to maintain balance while walking -> How to react if an object slips or breaks -> How to handle real-time environmental changes --> This constitutes the biggest difference between AI models and robots. --> Internet data teaches AI to understand language. But physical-world data teaches robots to understand the real world. --> Every movement a robot makes, every sensor reading, every camera frame and even its mistakes transform into learning data. --> In robotics, data is not merely information. It is the "experience" gained by a robot. --> In the future, the companies that will dominate the field of robotics won't be those with just better models- but rather those with superior real-world interaction data. @axisrobotics @iamlogtun

@Cryptottiger @axisrobotics @iamlogtun @plpiaoliang gAxis bro 😄

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang gAxis Fam🙌

@themiraculous01 @0xzagen @0xsexybanana @Abyomiii @axisrobotics @iamlogtun Nice thread bro

Day 1 — Why Data is the Backbone of Robotics 🧵 Everyone talks about robot hardware. The arms. The sensors. The humanoid movement. But the real backbone of robotics is not hardware. It’s DATA. 🤖 @0xzagen @0xsexybanana @Abyomiii

@winterfarmerK @axisrobotics @iamlogtun @plpiaoliang Yes

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Operation feed the robots data

@omachris55 @axisrobotics @iamlogtun @plpiaoliang Thanks bro

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Detailed, bro

@favour7814 @iamlogtun Interaction data is the fuel of Physical AI @axisrobotics understands that.

Large Language Models scaled through internet data. Physical AI will scale through interaction data. This is one of the fundamental differences between digital intelligence and robotic intelligence. LLMs learn from text, images, and online information. Robots, however, must learn from experience within physical environments through movement, perception, manipulation, and continuous feedback. As a result, the primary challenge in robotics is not model capability alone, but the availability of scalable, high quality interaction data. Axis Robotics is addressing this challenge through a simulation first infrastructure designed to generate and expand robotic training data at scale. By combining: • simulation environments • human guided interaction • large scale data augmentation • sim to real validation Axis Robotics is building the foundation required for adaptable, real world robotic intelligence. The next phase of AI will not only process information it will interact with and understand the physical world. @axisrobotics

@favour7814 @axisrobotics @iamlogtun @plpiaoliang 💯

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang Data is AI’s true fuel

@AdeolaAwoniyi1 @axisrobotics @iamlogtun @plpiaoliang gAxis bro

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang gAxis fam.

@iamlogtun @axisrobotics @plpiaoliang Exactly ser

@vinayA2255 @axisrobotics @plpiaoliang Quality data is key if Physical AI is going to scale

@Cryptottiger Well gAxis bro

Data is the backbone of Axis Robotics because robots learn from data just like humans learn from experience. The more data a robot collects, the smarter and more accurate it becomes. Without data, a robot can only follow fixed instructions. For example, if a robot wants to learn how to pick up a cup. It needs to practice many times. The data records: • how the hand moved • the shape of the cup • how much force was used • mistakes made After learning from thousands of examples, the robot becomes better without breaking the cup. Same thing with self-driving cars. They learn daily from: • traffic signs • human movement • weather conditions • road mistakes That data helps AI make safer and smarter decisions. At @axisrobotics, the more people interact and contribute data, the more robots can learn new movements and adapt to real-world situations. Simple meaning: Data is like food for AI robots🔻 🔸Without food, humans become weak 🔸Without data, robots cannot improve or think smarter. @iamlogtun @plpiaoliang

What is @axisrobotics? Axis is building the future of Robotic General Intelligence (RGI) A decentralized ecosystem where robots learn, adapt, and interact with the real world using community-powered data. Not just AI. Real intelligence for real-world robotics. @plpiaoliang