He was asked that question, but he didn't say he was confident they would reach level five this year.
He did refer to the current FSD beta, which is a level two system, and expressed confidence in the technical roadmap and progress they are making between each beta iteration. Then he talked about the level of reliability they would need, capabilities of the system, and challenges they have.
I guess, I'm confident based on my understanding of the technical roadmap and the progress that we're making between each beta iteration. Yes. As I'm saying, it's not remarkable at all for the car to completely drive you from one location to another through a series of complex intersections. It's now about just improving the corner case reliability and getting it to 99.9999% reliable with respect to an accident.
Basically, we need to get it to better than human bio factor at least 100% or 200%. And the business happening rapidly because we've got so much training data with all the cars in the field. And the software is improving dramatically. The -- we also write the software for labeling.
And I'll say it's quite challenging. We're moving everything toward video labeling. So all video labeling for video inference and so there are still a few of new met that need to be upgraded to video training inference. And really, as we transition to each net to video, the performances become exceptional.
So this is like a hot thing. The video -- the labeling software that we work for, video labeling, making that better has a huge effect on the efficiency of labeling. And then, of course, the Holy Grail is auto labeling. So we're -- we put a lot of work into having the labeling tool to be more efficient when we used, as well as enabling auto labeling where we can.Dojo is a training supercomputer.
We believe it will be -- we think it may be the best neural net training computer in the world by possibly an order of magnitude. So it is a whole thing in and of itself. And this is offer potentially as a service. So some of the others need neural net training, we're not trying to keep it to ourselves.
So I think there could be a whole line of business in and of itself. And then, of course, for training vast amounts video data and getting the reliability from 100% to 200% better than average human to 2,000% better than average human. So that will be very helpful in that regard.
https://www.fool.com/earnings/call-transcripts/2021/01/27/te...