151–160 of 187 posts
No one here talking about the freaking humanoid bot?!? Also interesting to see how focused they are still on pure vision input to construct the vector space instead of just using LIDAR, but I wonder how limited they are by existing models already being out there with set hardware.
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You think they are fake collecting data? I suppose they wrote code to create fake uploads from peoples cars. How deep is this conspiracy going. How does the FSD Beta work? Do they buy data from somewhere else? Or are all the people who have the FSD Beta paid by Tesla to create fake content. True conspiracy theory you have unraveled here.
> You think they are fake collecting data? I suppose they wrote code to create fake uploads from peoples cars. How deep is this conspiracy going. The conspiracy "keeps going" by the simple math of what they claim to collect vs what actually comes off of the cars and is stored. Do you have any idea the bandwidth and storage associated with endless hours of video storage? Where is it all accounted for? Do you think peo…
They literally explained in detail how they are sourcing videos, I'm sorry if you didn't pay attention or don't understand it. I have heard a lot of criticism of Tesla from experts, but not a single one questioned the video clip sourcing.
I'm sorry but your claim of conspiracy has no credibility.
> through cell towers and it's completely unmeasurable
Do you have the measure of all Tesla data that went threw cell towers and can prove that they didn't upload a few million clips? Because I am 100% sure you don't have that data.
> Let me guess, you're one of these layman who thinks the "neural net" is being trained every time the car disengages?
I don't need to guess that you are dickhead.
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Adding more rotating parts is exactly what you are trying to avoid. For example, go look at how Tesla designed the heating and cooling system. The integrated all the different streams of hot and cold in one system duplicate these parts that can break easily. In some cases it can simply not be avoided of course but you better make sure that you really need it if you are gone add it to millions of cars. > cruise and wa…
You didn't really address the meat of the comment: The adage "do things that don't scale" comes to mind. If your options are "have tens of thousands of autonomous vehicles" or "have none", I'm not sure how the second is better. Waymo and cruise especially, but even a number of others, have demonstrated better autonomy than Tesla. Musk has been claiming full self driving is 6 months away for 5 years now, and he hasn't…
Have they? They have a different approach where they focus huge effort on individual Geo-fenced locations and they both are losing 100M of $ every year. Neither has given any timeline for general availability in all locations.
The race, as far as I am concerned is still open. It is not at all clear to me that Waymo is ahead at what actually matters.
> Musk has been claiming full self driving is 6 months away for 5 years now, and he hasn't gotten that much closer.
The claim they made no progress is objectively false.
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I didn't specify the training set, just the test set. It's possible that your model actually models an arithmetic series. Or that it simply overfits. The point is that it doesn't require trillions of parameters to overfit to a trillion-sized test set.
What you need are more parameters than the complexity of the underlying distribution. If you drop to a linear function you're modelling, you only need a couple of parameters. "Overfitting" is memorizing the training data instead of generalizing. The example you're providing isn't overfitting, it's just generalizing to the wrong function. Overfitting would be if the validation set was, say, 30 random values that you g…
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I didn't specify that the training set wasn't representative. All this shows is that you don't need parameters anywhere close to the number of test examples to overfit.
And my point is that is not what overfit is. Overfit is a specific problem where the network fails to recognize a commonality in the training set and instead interprets the irrelevant details of some subset of training samples (in the extreme, individual samples) as distinct properties. Your example training set is not filled with noise that the network is picking up on to its detriment. Your example training set is…
My exact point is that if your test set isn't representative of the underlying distribution, then accuracy on the test set doesn't mean that your model isn't overfit.
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> We are being asked to close our eyes, take a leap of faith Actually, you're being asked to "Always watch the road in front of you and be prepared to take corrective action at all times. Failure to do so can result in serious injury or death.", until FSD gets released :) Do you trust cab drivers to "be trained on every edge case under the sun"? Self driving only needs to beat humans, who have some serious flaws, not…
> Self driving only needs to beat humans, who have some serious flaws, not achieve perfection. In particular, though, it needs to beat good human drivers, not average ones.
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> And it would be great if it something that almost never broke as things that move a lot tend to. As far as I know static lidar are nowhere near as good. Keep in mind you're saying this about something that attaches to a car, which already has dozens or hundreds of parts that rotate at hundreds or thousands of RPM. > Then if the difference in quality is not actually that great, doing the development effort once will…
Adding more rotating parts is exactly what you are trying to avoid. For example, go look at how Tesla designed the heating and cooling system. The integrated all the different streams of hot and cold in one system duplicate these parts that can break easily. In some cases it can simply not be avoided of course but you better make sure that you really need it if you are gone add it to millions of cars. > cruise and wa…
I don't get this. You have to pay ~8000$ as an extra to get the FDA in a Tesla. Can't they charge the cost of the lidar in there? Now you have to pay 9000 dollars to get it.
I like Andrej and I think he's a brilliant guy. At the end of the day though, there is no way for me or anyone to audit the neural networks or their training data. How can anyone trust them? I think this is really a fundamental problem with using neural networks in self-driving cars--I don't want to put my life in the hands of a fragile system that I, and no one alive, can understand. We are being asked to close our…
> We are being asked to close our eyes, take a leap of faith Actually, you're being asked to "Always watch the road in front of you and be prepared to take corrective action at all times. Failure to do so can result in serious injury or death.", until FSD gets released :) Do you trust cab drivers to "be trained on every edge case under the sun"? Self driving only needs to beat humans, who have some serious flaws, not…
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Animals do just fine with more complex navigation challenges than driving a car. While we can 'mimic' various animal capabilities, I don't believe we are anywhere close to AGI with either a dog's level of intelligence, motor control or sensory integration.
> Animals do just fine with more complex navigation challenges than driving a car. Do you have any scenarios in mind? Driving is not only a navigation challenge, but a social challenge as well. Have you ever tried to navigate a 4 way stop when multiple cars get there at the same time?
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Can you point me to literally any evidence what so ever that the results fake? Is the FSD Beta regularly crashing into things it put at the wrong range? Tesla has cars with Lidar on the road to check the models as well. And who says anything about entitled, they have spent a huge amount of effort and therefore money into a solution that they think will be better. Nobody with Lidar has delivered either so what is bett…
> Is the FSD Beta regularly crashing into things it put at the wrong range? As a matter of fact, yes: self-driving Teslas have been crashing into emergency vehicles so often, they are being investigated[1] 1. https://news.ycombinator.com/item?id=28197355