What V1 proved:
An end-to-end sim-to-real pipeline works. Engineered diversity beats raw volume (79.4 on LIBERO-Plus), and transfers directly to real physical robots.
The bottleneck:
V1 is unidirectional. Once deployed, the model can't recover from its own failures — because the data flow stops after training.
The V2 shift:
Close the loop. Human-Gated DAgger turns model errors into targeted data collection. Axis is no longer a pipeline — it's a compounding, human-in-the-loop data engine.