Live data from Hacker News

Even after $100B, self-driving cars are going nowhere

bloomberg.com

21–30 of 501 posts

Re: Even after $100B, self-driving cars are going nowhere

#21
post #14

$100B is not that much when you compare it to the value self-driving cars will create. There are over 1 billion cars on the road which need humans to drive them. How much are they used? I don't know. Let's say one ride per day. When cars turn into a service business, the "driver" will be software. What will be paid to the driver? Let's say $1 per ride. That is 1B * $1 * 365 = $365B per year. Give that a p/e ratio of…

[deleted]

Re: Even after $100B, self-driving cars are going nowhere

#22
post #4

This article is kind of a wrapper for the linked bloomberg article, which is more interesting IMO. Driving of cars is a massive cooperative game with high stakes, and autonomous cars essentially need AGI in order to play to a degree that is safer than a human with other humans. Fully autonomous cars would be sick, but IMO you'd need massive infrastructure changes (realistically restricted to cities/urbanized areas) i…

Are there even any racing/sim games with solved driving AI? All the ones I can think of cheat, replay hardcoded paths, and/or are terrible. And thats with perfect information about the world and other cars.

Re: Even after $100B, self-driving cars are going nowhere

#23
post #4

This article is kind of a wrapper for the linked bloomberg article, which is more interesting IMO. Driving of cars is a massive cooperative game with high stakes, and autonomous cars essentially need AGI in order to play to a degree that is safer than a human with other humans. Fully autonomous cars would be sick, but IMO you'd need massive infrastructure changes (realistically restricted to cities/urbanized areas) i…

Why should we change city infrastructure to work with less than AGI driven cars? It sounds instead like yes, AV companies are over selling what they can do and they should be restricted to things like highways and the like where the easier, less complex driving environment already exists. Cities are by far the most complex relative to every other driving environment, in fact there is a good argument that, in cities,…

One good reason is to help the AIs make better decisions through greater certainty. For example, if a road sign has machine readable data there is a greater certainty that an AI will interpret it correctly. This could affect safety and ease of implementation.

Re: Even after $100B, self-driving cars are going nowhere

#24
post #14

$100B is not that much when you compare it to the value self-driving cars will create. There are over 1 billion cars on the road which need humans to drive them. How much are they used? I don't know. Let's say one ride per day. When cars turn into a service business, the "driver" will be software. What will be paid to the driver? Let's say $1 per ride. That is 1B * $1 * 365 = $365B per year. Give that a p/e ratio of…

I would like to nit-pick and say you're estimating some novel metric. The value add would be somewhat higher than that because the alternative is a human driver, so the value-add of the software is approximately ($/h value of driver x hours) that it frees up to do something else. Plus all the evidence I see suggests that whatever the current state, sooner rather than later computers are going to be superhuman at driving (like they are at most other discrete tasks) and save a lot of lives. Plus reduced wear & tear on vehicles.

$365B in value is probably a serious undercall. The only reason to complain here is if only $100B has been put in to the venture so far.

Re: Even after $100B, self-driving cars are going nowhere

#25
The main lesson here seems to be about the value of incrementalism. This project was always pitched as self driving cars in one leap, which set huge expectations and more or less ruled out just shipping incrementally better driver assistance year after year. Probably because the space became dominated by Google and Page-ist futurism, so they weren't able to sell anything that would be expected to come with an actual car because "automotive supply chain" didn't fit with Google's self image. And then everyone got scared that they'd succeed and tried to copy their approach.

The mining site thing is probably where things should have begun, or highway driving only, but the question is, could a company have motivated ML and programming experts with such a humble starting point? Or was the hole-in-one approach required to build a team that could get anywhere at all?

Re: Even after $100B, self-driving cars are going nowhere

#26
post #14

$100B is not that much when you compare it to the value self-driving cars will create. There are over 1 billion cars on the road which need humans to drive them. How much are they used? I don't know. Let's say one ride per day. When cars turn into a service business, the "driver" will be software. What will be paid to the driver? Let's say $1 per ride. That is 1B * $1 * 365 = $365B per year. Give that a p/e ratio of…

It's not only off topic, it's also wildly unrealistic (IMO). 1$/day may seem little, but that's for middle-class US standards, and it gets proportionally worse when you realize many people make more than one trip per day. What incentive do you have for people to pay that amount?

Re: Even after $100B, self-driving cars are going nowhere

#27

Earlier quoted context omitted.

I always imagined the future of self driving cars wouldn't lie in cities (except maybe some main ringroads or arterial roalds) but in highways. Just tell the computer to go to highway X exit Y, and from there the driver can drive the last few miles. Basically geofencing known 'sane' locations, which cuts down on the boring bits of driving significantly.

That's just trying to solve a simpler problem. It wasn't what we were promised!

I know, I think the promises are unrealistic :) This has always been my own imagined future

Re: Even after $100B, self-driving cars are going nowhere

#30

So? Okay, we're not there yet with autonomous vehicles, and have spend tons of money on it. But the tech we have now didn't exist a decade ago. Give it another decade.

Another decade for prototype self-driving cars to cover another state part of the US? $100BN in funding these gadgets and contraptions that don't work. Not even Tesla FSD can drive itself reliably at night without supervision, because it is not Level 5.

Until LiDAR becomes more cheaper and these cars CAN drive themselves safely at night without supervision in any state at scale and as advertised like a robotaxi, then you're looking into multiple decades of these research prototypes being 'useful'.

So far, that $100BN is a VC scam until proven otherwise.

Post reply on HN