I wonder how easy is it for Tesla to 1) find the exact problem and 2) fix it (provided it is software based). Does it mean that they first have to figure out what some "black box" neural network(s) are getting wrong and then retraining (on simulations), etc?
What if city X decides to repaint all its buses and that confuses the object detection system? How log would it take to get the (hot)fix out of the door...
I think it is important to note, that thought "lots of stuff" may may be available to the government without a warrant, "lots of stuff" may not be usable in court without a warrant. So - search warrant is often needed...
Having gone to a school with an extremely high barrier of entry (in the terms of admission tests not financially) I would say that bright & motivated companionship was what pushed me forward. Pooling talent helps to develop it in many ways.
At the same time some of the best/most braised education systems come from countries with a "level playing field" public school systems such as Finland.
To me the main question is if developing talent by pooling it together is in conflict with achieving high average student development. And if so, which one of those should be the goal as a society?
As others have already noted, uber is not about replacing human drivers with human drivers, but about going driverless.
To me a more interesting question is the whole sharing economy and it's relation to traditional regulation.
Restaurants, hotels, taxies, etc have long been heavily regulated to ensure that so you don't get salmonellosis, don't have to deal with cockroaches or die in a car crash because of an incompetent driver.
As the whole "sharing economy thing" is about information - the question is - can better movement of information replace the need for traditional government regulation in those fields (in the form of ratings, web of trust, etc)?
- CFR .37%
- 2% of the individuals currently had SARS-CoV-2 determined by PCR method