(1/6) I’ve been reflecting on the "Why" behind Crypto x AI/Robotics. A recent post by Sami Kassab on Bittensor nailed it: Crypto coordinates human effort at an unprecedented scale. But as a founder building in this space, I want to take this back to first principles. What are

We’re building an end-to-end intelligent stack — from simulation and synthetic data to robotics foundation models — to accelerate the emergence of robotic intelligence. At the core lies a crypto-powered loop: - Data Platform — incentivizing diverse human participation and

The paradigm repeatedly validated in language models is that "more data leads to better models." Robotics also follows the Scaling Law. Yet, when this paradigm is directly transposed to the field of robotics, the entire industry encounters a systemic bottleneck: the Robotics

In 2026, decentralized robotics will enter a phase of rapid expansion, increasingly shaped by data-centric drivers. Crypto-native protocols make distributed data contribution and world modeling economically viable at scale, laying the groundwork for long-term advances in RGI.

Santa’s newest intern is a bit stiff, but he’s got great precision ✱✱🎄 Holiday vibes in the sim today. May your latency be low and your rewards be high ✱✱

AGI may arrive by turning humans into data. RGI won’t. Robots can’t learn the real world from scraped text alone. They need humans to show them, in space, in motion, in context. We’re seeing this in our simulation: people teaching a robotic arm how to water a flower. The

Hot take: Robots aren't born in factories. They're born in our imagination. Refined in games. Trained in simulations. Tested in reality. Then reality feeds back into imagination. Sim to real to sim—not a shortcut, but a loop. And the loop doesn’t stop. The beginning of

x.com/i/article/2005…

2026, a year of ROBOTICS.

A Letter to Our Community: The Road Ahead for Robotics To our Community and Partners, As we step into 2026, our mission at Axis is clearer than ever: Constructing the definitive End-to-End Scaling Layer for Robotics. Our goal is to accelerate the transfer of diverse human

This is the level of collective intelligence you want in every robotic dataset. Collective intelligence is what turns fragmented data into broad, systematic coverage.

x.com/i/article/2005…

Jensen Huang said it best: The future of robotics training happens inside simulation. It’s not a theory anymore. Axis is doubling down on this validated path. We are building the infrastructure for that future, today. Simulation First.

x.com/i/article/2009…

Every roboticist knows the pain of "Day 1." Real-world training: ❌ Fragile hardware & constant failures ❌ High latency & slow iteration ❌ Narrow data diversity Axis is breaking the cycle. We’ve built the first browser-based, infra-level platform that decouples assets, tasks,