Paf base.eth ⛺

🀄The @blueprintai The end- game might be @blueprintai with their innovative Agentic Ai.... 💧More Details will be shared soon but right now, position yourself; 🚦Waitlist; getwaitlist.com/waitlist/28188… 🚦Galxe campaign; app.galxe.com/quest/Blueprin… 👑That's all for now king & queen

Privacy is the foundation. The real future of finance begins here. Simple and intuitive on the surface. Financial sovereignty underneath. More soon.

@fiber_evm let's have it

where else if not Axis??💕💕

Which robotics project on Base do you like best?

@axisrobotics Axis now and always!!!💓

@minara @Outcomexyz @HyperliquidX massive

The first AI stack for prediction market is live ✨. You can now trade solid outcomes with Minara Prediction Copliot, asking BTC price range outcomes powered by @Outcomexyz and @HyperliquidX, for confidence, edge, profits ... whenever you want. 🔮 prediction.minara.ai

Let's talk tokenisation and RWAs with the KAIO x @kucoincom AMA on Wednesday 9 AM UTC. x.com/i/spaces/1nxnR…

@KAIO_xyz @kucoincom I'll definitely be there... LFG

@Larrizle_no1 @axisrobotics nice info graphics

It’s not news again that @axisrobotics is building toward a future where data powers intelligent robotics at scale. But here’s the key alpha people need to understand: LLMs are trained on internet-scale data, text, images, videos, code, and human conversations gathered across the web. Robots, however, cannot learn from internet data alone. Robotics depends on physical interaction data: Robot joint movements Environmental feedback Object positions and handling Control actions Real-time task decisions Success and failure outcomes You can scrape billions of web pages for LLMs, but robotics requires scalable systems that continuously generate, validate, and improve real-world interaction data. That’s why Axis is focused on scalable simulation, teleoperation, data augmentation, and continuous learning systems powering the next generation of Physical AI.

@Kenechillz @axisrobotics @iamlogtun massive and clean write up

Let’s talk about @axisrobotics. They’re not “building robots” in the way you think. They’re quietly building the data infrastructure for physical AI. And that changes everything. 🧵👇

@holuwagbemegar_ Data, The backbone connecting all things...

Data is the backbone of robotics because robots learn the same way modern AI systems do, through massive amounts of training data. The difference is that robots need to understand the physical world, not just language Internet Data for LLMs Large Language Models (LLMs) are trained using internet-scale data such as: • Text • Images • Websites • Conversations • Code This helps AI understand language, reasoning, and patterns in digital environments LLMs learn by reading the internet Physical Interaction Data for Robots Robots require a completely different type of intelligence. They need data from real or simulated physical interactions such as: • Picking up objects • Moving through environments • Understanding space and motion • Coordinating hands, sensors, and movement • Responding to real-world conditions Robots learn by interacting with the world. Why This Matters A chatbot can improve by reading billions of documents But a robot improves by experiencing millions of physical actions and environments. That type of data is far harder and more expensive to collect Simple comparison: LLMs need internet data Robots need real-world interaction data Both depend on scale and contributors Data is the foundation of both revolutions This is where decentralized systems like @axisrobotics become important. Instead of relying on one company or lab, a global network of contributors help generate the large-scale interaction data needed to train Physical AI

@jjk73310 @axisrobotics Data is the only backbone needed

Data is the backbone of robotics because it is what robots learn from, decide with, and improve on over time; without rich, high-quality data, even the best hardware and algorithms stay dumb and brittle, and this is what Axis Robotics aims to solve @axisrobotics

Axis Robotics "Data is the lifeblood of @axisrobotics Robotics. Just as humans grow through experience, robots evolve through data and Without data, a robot is limited to rigid, pre-programmed instructions." With data, a robot learns to adapt.

@AdeolaAwoniyi1 the foundation for the digital economy is data and the hq of human intelligence in data is @axisrobotics

WHY IS DATA THE BACKBONE OF ROBOTICS . Most people misunderstand what robots actually need to learn. Let me explain by comparing two worlds 👇

@belk3_95 @axisrobotics Human capital

@pafcryptos @axisrobotics cool, but who owns the data feeding these bots?

Axis Robotics "Data is the lifeblood of @axisrobotics Robotics. Just as humans grow through experience, robots evolve through data and Without data, a robot is limited to rigid, pre-programmed instructions." With data, a robot learns to adapt.

@GMIDave @Arcium simple guide to follow

position for a chance to be eligible for arcium airdrop, via rtg. save + share👇

Nasun Referrals are LIVE ⚡️ Invite your friends and BOTH of you get a 10% boost on every point earned. Eligible points will count toward the Ecosystem Leaderboard. To activate referral points, new users must: • Follow @Nasun_io — 25 pts • Link their X account — 25 pts • Optional socials — 10 pts Check your account page to see if you qualify for a referral code 👀 Referral codes are reserved for active Nasun contributors. The goal is simple: Grow an active community that helps build Nasun through testing, bug reports, feedback, and content creation — while earning rewards together. Bots, alt accounts, existing accounts, and previously deleted accounts are not eligible.

@vinayA2255 @axisrobotics @iamlogtun @plpiaoliang simple and straightforward

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

@omachris55 @axisrobotics 💯 ser

@pafcryptos @axisrobotics Data is life in robotics