Most people stop when they don't see results.
But progress isn't always visible.
A tree grows underground long before it rises above the surface.
Keep working.
Not everything valuable can be measured right away.
@axisrobotics
Hangrisss@hangrisss
The intersection of Physical AI and L2 infrastructure is where decentralized data networks actually become viable. Historically, the robotics training pipeline has been heavily gatekept by high capital expenditures forcing labs to buy expensive physical hardware just to collect data trajectories. By utilizing @base low friction environment, @axisrobotics is effectively decoupling simulation from hardware constraints. Proving at SuperAI that anyone can contribute to training real robots without specialized rigs is a massive step for scaling the data flywheel. This is how you democratize a highly centralized industry. Huge milestone with @baseapac
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