How come Tesla isn't being as shrewd this time?

Tesla first deployed 60 Robotaxis in Austin, not 500! Why? Don’t they know that the more they buy, the lower the cost?

Not at all! The real limit to scaling autonomous driving has never been hardware capacity or sensor accuracy. The bottleneck is trust, not manufacturing.

When vehicles start making autonomous decisions on real roads, the issue is no longer whether they can drive, but why the system made that judgment at that moment. Has the model been replaced? Were perception and decision-making executed according to established rules? If something goes wrong, can accountability be assigned, can the process be reviewed, and can it be verified?

If these questions don’t have definitive answers, regulators won’t approve, insurance won’t be priced, and the public won’t truly accept larger-scale deployment. That’s why autonomous driving expansion always proceeds gradually. Not because the technology isn’t aggressive enough, but because the trust infrastructure isn’t mature enough.

What truly unlocks scale isn’t just building more cars, but making every decision verifiable, auditable, and constrained. In autonomous systems, verification isn’t an added condition; it’s a prerequisite for expansion itself.

Manufacturing solves the question of whether it can be built,
Verification solves whether it dares to let it go further!

#KaitoYap @KaitoAI #Yap @inference_labs