Stationary storage cells are different chemistry.He said he is getting 4,000 cycles on the batteries for storage. Maybe it depends to what % is usable life.
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Stationary storage cells are different chemistry.He said he is getting 4,000 cycles on the batteries for storage. Maybe it depends to what % is usable life.
Machine Learning kind of screwed up assessments.
It was and continues to be such a giant leap in what computers can do that people constantly underestimate what is possible at this point.
I believe this was by copying drivers.
It would be except that in the presentation it was said they could filter out the items which already had sufficient data. I believe it was filtered out automatically, but I could have misremembered that part.
A thought occurs to me: Tesla knows where disengagement occurs. They could release their “feature complete” features with human supervision still required, collect data on where engagements happen and where they don’t and just geofence the areas where they don’t. When they get to the point to release robotaxis, they initially only roll them out in those areas with no disengagements.
They would have to talk a manufacturer into outfitting all their cars with the appropriate sensors. I think that would be a really hard sell because the basic pitch is "Please install these sensors in all your cars (or at least all the volume selling cars) so I can begin to program my FSD computer that may or may not work". A car manufacturer could do this in-house if they so desired, and I expect the Korean and Chinese auto manufacturers to do so at some point. I think the North American and European auto manufacturers will have to do it eventually, but it may be too late for them.So partner with a high volume mfr and start gathering. Otherwise how will they ever catch up? Just playing Dev Adv here. Are there seriously no options at all? Hard to believe, but if true, I'm for sure going to be rich!
Don't know about sales because it's been so long, but what is wrong with the service communications? They always answer promptly (and I'm in a State where I'm not allowed to phone the service centre directly, but have to go through corporate). If it's an SC issue, I get text messages showing the progress, if it's mobile service, they call before they arrive to make sure I'm there. I really don't see how it could be better. Because this has taken place for over six years, I don't believe I'm an anomaly.
The presentation gave us some very, very strong indications of what they're working on now. They have a long way to go. They're still working on relatively "easy" stuff.We actually don't know what kind of scenarios they are working on now.
But the main premise of NN is that there are no "difficult" problems. Every situation calls for the same set of solution - get the data and train NN. As long as they can do this quickly, there are really no difficult problems that human drivers can easily solve.
So the that makes sense now. Seems he's just leaving out the battery swaps at 300K mi to make it simple.Stationary storage cells are different chemistry.
a simple answer might be like
There are well over 400 different types of vehicles sold in the US listed on Kelly Blue Book
they all drive differently, sensors would be randomly placed, a great way to get total gibberish
Tesla has around 450,000 fairly identical vehicles that act fairly the same, with a few dozen sensors each. all fairly identically placed reporting with not a lot of +/- on placements of readouts
( when target shooting, you were very precise, all close together, but the target was _over there_)
this removes a lot of variables
True, but you are not processing the redundant data, and every week somewhere between 5K and 10K data gathering cars are being added, so you're getting more input all the time. So it may not be quite exponential, but it's certainly a good deal better than linear.Right, but for each 9 you add, the odds of collecting an instance are 1/10 what they were before. So you need a fleet experiencing 10x as many event to collect sufficient images (a constant) at the same rate.
Another reason for TN, more miles of data...
What questions did the ARK participants ask?
I will be shocked if they are able to attain FSD in 2020, extremely happy if they achieve it in 2021, and still happy if it comes in 2022.They dropped MobilEye and started from scratch in mid 2016. That's less than 3 years to get here.
I'm not 100% positive they will be done in 2 years, but 3 years seems like a possibility.
Gotta agree with the other post that this is bordering on arrogant.Yeah, that just shows that you didn't understand things as well as me. Those were never that hard and I never thought they were that hard.
People who don't have background are often inaccurate in their assessments regarding what's hard and what's easy. It's a thing.
I didn't use an SA. Just went to the website and ordered. They called when the car was ready. I got the financing and picked up the car.Using the app for service works well for me.
For sales, I know someone really interested in buying an X. The SA said they would call back in a couple hours and haven’t called back in days. SA’s definitely seem to be hit or miss. I had good luck but too many people do not.
Google - $They would have to talk a manufacturer into outfitting all their cars with the appropriate sensors. I think that would be a really hard sell because the basic pitch is "Please install these sensors in all your cars (or at least all the volume selling cars) so I can begin to program my FSD computer that may or may not work". A car manufacturer could do this in-house if they so desired, and I expect the Korean and Chinese auto manufacturers to do so at some point. I think the North American and European auto manufacturers will have to do it eventually, but it may be too late for them.
The short of it is that you have to train neural nets as though they're idiots just looking for any excuse to mess up. They're not going to understand something that's not like things they've seen before. They can't "reason it out". They're pattern detectors.