I'll help you out since you don't read, a normal P/E is 20-30. To say it is not a great financial investment is unequivocal. It is effectively a write-off for the foreseeable future.

But that is not to say you shouldn't invest in difficult problems and try to solve them, even if they don't make money. This is one of them. I hope people do the same for other challenging problems.

Yeah, they don't pay drivers, but their cars' hardware costs mean that they won't break even with human-driven taxis for quite some time (unless they manage to decentralise the computing).

To put some rough numbers to this, the sensor set in each car, is probably ~$75K (was initially $150K).

Drag = 1/2 * fluid density * velocity^2 * C_d * Ref. Area

It approximates the drag experienced by objects as they move within a fluid (atmosphere). You can see that drag is proportional to the square of velocity, so going twice as fast induces 4 times the drag.

Ergo, when you speed up, you produce a lot more drag. This will slow you down until you reach an equilibrium between thrust and drag (unless you apply more thrust).

Even if you don't see an immediate benefit in CI times, it may still be a good idea to clean up unnecessary includes.