361–370 of 691 posts
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I believe the person you're responding to was referring to specifically to the add-on pre-order for full self driving, not the entire car.
As was I. Consumers had an opportunity to test drive the wanted feature and find it lacking, or read reviews of the same. Tesla hid nothing. If customers want to spend money on hope for the future then that is their right. They paid for hope and that is what they got.
“All rides in the program will have an autonomous specialist on board for now” This tells me that we’re still a long way from full level 4 (and certainly level 5) autonomy in a busy city like San Francisco. The edge cases requiring immediate human attention are still too frequent for the human safety driver to be remote, as is the case in Phoenix. Also, just a reminder that Waymo in Phoenix is nowhere close to being…
All traffic signs and signals need to be machine readable at a distance. That is, a traffic light might beam out "I am light 'SFTL783', will be green for 8 more seconds". The location and other data for SFTL783 is in a preloaded database. Same for speed limits and other signage.
An updated 3d map of all roads would also help a lot. As would car-to-car communication systems.
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Okay... let me know when their market is the contiguous United States.
Surely this is just moving the goal posts. If they can launch in Chandler and in San Francisco then a huge amount of the contiguous United States is on the table.
The vast majority of the contiguous United States is decidedly not "on the table" as of now.
"The contiguous United States" is still a decade (or more) away. It may literally never happen.
Great, they built a smaller, more expensive, less flexible, and less useful BUS. No city should be encouraging this. Every trip that this would solve for is also solved for by public transit. So silly.
I see this as the future of public transport, where you'd have a combo of smaller and bigger vehicles (including self-driving minibuses and buses) running autonomously, with options to pay more in order to walk less, but only running where people actually need them . Similar to Uber and Lyft Pool before the pandemic, where you could pay less to be picked up on a main street intersection instead of your front door.
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Would you describe Tesla's tendency to crash full speed into stopped emergency vehicles during highway driving as "excellent"? https://www.cnn.com/2021/08/16/business/tesla-autopilot-fede...
While controversial, we tolerate a great deal of casualties caused by human drivers without trying to illegalise those. While we can (and should) hold autonomous vehicle developers to a much, much higher standard than we hold human drivers, it is precisely because of excellence.
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Google took a completely different approach and relies heavily on pre-mapped environments. Tesla has several orders of magnitude more vehicles, more data, and a more diverse set of data given their cars are in many different countries. It's not implausible to think that Tesla could arrive at FSD faster than Google.
The idea that data will somehow magically translate into FSD is laughable. It relies in the delusion that we just need to train neural networks with the proper data and then we all can go to sleep. There are many issues with Tesla's autopilot that are completely unrelated to the amount of data they have, and they will not be fixed with more data, and having more data will not make it easier to fix it. At this point,…
Tesla has built out amazing infrastructure to capture extensive amounts of "hard" examples from their fleet, turn them around into labeled data for training very efficiently and then utilizing simulations to further broaden the distribution of such quirky long-tail events in their training-set. In the absence of AGI, this is a very effective "brute-force" approach and they have a huge upper hand over every other player in this space.
I say all of this even though I am very skeptical that anyone will achieve L5 self-driving with where the state of things are today. But Karpathy and team are very pragmatic and making lots of good decisions coupled with excellent engineering and infrastructure development.
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Yeah it's been really odd to see the take that self-driving must require strong AI. It needs to be done carefully, but it's clearly a manageable engineering problem if you have good sensors.
If there's a person at an intersection directing traffic, it will be very hard to have the car itself communicate with them as easily as a human can. Edge cases like that is where AGI would be needed it seems.
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While I do get your point and have my own doubts, I fail to see how this is a fair argument: > If Google can't do it with its massive resources The companies behind the SLS had and have an enormous amount of resources. Yet, they have failed to even launch it. Arianespace has a huge amount of resources and experience too. Yet, when asked, they said landing a rocket couldn’t be done. Then, back-pedalling, that it was p…
The problem with your comparison is that the company that is "the spacex of FSD" is Waymo. And even them can not get FSD right.
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There's a neverending stream of way-too-drunk people who need a taxi (or at least there were, in the beforetimes). I don't see that happening. Also, I don't particularly want to ride in a car with a bunch of sensors and cameras monitoring my every move.
Agreed on both points. However... while I don't want to ride in a car full of sensors, I think the popularity of CCTV and Facebook demonstrates that a lot of other people are much more OK with that. Just look at busses, trains, and even gas stations -- I'd never want to have ads thrown in my face the way all of those systems push them on you, but a lot of people just seem to be... OK with it.
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Google took a completely different approach and relies heavily on pre-mapped environments. Tesla has several orders of magnitude more vehicles, more data, and a more diverse set of data given their cars are in many different countries. It's not implausible to think that Tesla could arrive at FSD faster than Google.
I can't really see how Tesla would have more data than Google, who have been mapping the entire world for decades.