thanks for moving VA- was just doing that
good timing on this article given our earlier discussion!
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good timing on this article given our earlier discussion!
dc_h
Active Member
Vampire drain happens only in sunlight.
erthquake
Active Member
UAW files complaint against Tesla representing terminated workers
"<
Tesla in October fired about 400 employees including associates, team leaders and supervisors, Reuters reported, citing a former employee.
>"
"<
Tesla in October fired about 400 employees including associates, team leaders and supervisors, Reuters reported, citing a former employee.
>"
"Static fire test of Falcon 9 complete—targeting October 30 launch of Koreasat-5A from Pad 39A in Florida."
SpaceX on Twitter
SpaceX on Twitter
FredTMC
Model S VIN #4925
This goes no where.
Vast majority of tesla workers do not want to unionize.
And they've got stock options
Krugerrand
Meow
What I love about that video is simply that it exists along with all the other mouthpiece quotes and articles - forever (because Internet) - and therefore history can’t be changed.
gavine
Petrol Head turned EV Enthusiast
RobStark
Well-Known Member
I was almost certain this was an article about Tesla no longer using leather seating surfaces.
I think bringing seat production in house is a great idea. Producing seats automatically should be part of the dreadnought plan. Model 3 is a high volume product, all seats are identical except color. Automate the seat production will greatly reduce the cost. Over time this approach will create a strong moat that other companies can't do much about it.
I looked at the inside of a car seat (leather, heated, 8-way power), on the mechanical and electrical side there is nothing that can't be auto produced. The cover is tricky, but I am 100% sure it can be automated. I can think of ways to do it, I am sure Tesla can do it with even better approach. The initial cost is high, then you produce millions after millions with low cost and consistent quality.
We should not view Dreadnought as a future plan, pieces of it probably are being built and put into use one at at time.
There is no way shorts can cover with my shares. In stead I am adding more.
I looked at the inside of a car seat (leather, heated, 8-way power), on the mechanical and electrical side there is nothing that can't be auto produced. The cover is tricky, but I am 100% sure it can be automated. I can think of ways to do it, I am sure Tesla can do it with even better approach. The initial cost is high, then you produce millions after millions with low cost and consistent quality.
We should not view Dreadnought as a future plan, pieces of it probably are being built and put into use one at at time.
There is no way shorts can cover with my shares. In stead I am adding more.
Not exactly. Rear seats will be different depending on PUP/Non-PUP. (The difference being heating element(s) and some wiring.)
And we don't know for a fact that non-PUP seats will be identical to PUP seats. (Though I would think it is very likely.)
I didn't mean literally "identical", some are powered, some are not, maybe some are not heated......
RobStark
Well-Known Member
Tesla Vloggers from Atlanta spot a Model 3 on a random trip to Charleston South Carolina.
adiggs
Well-Known Member
I'd say in the 2nd paragraph, you have a very good sense of the problem solution approach and how it can work. If you have enough data, it's even possible for the network to figure out the rules of the road (including unwritten rules of the road). Heck, with enough data and training time, I'd expect such a network to have a reasonable chance at identifying right turn on red and left turn on red situations, and acting on them appropriately.
The idea I've been trying to articulate is different though. There's been a recurring stated fear / concern that AI is going to take over. For me that concern is overblown because even if the AI is better at solving defined problems, AI doesn't yet have evidence of being able to decide what problem to solve. There are more closed environment situations (such as driving a car) where AI / numerical analysis techniques are starting to be able to discern through the data and patterns of behavior, what the objective in the environment is, and therefore the "rules of the road" that creates success in that environment.
That's still different from deciding that autonomous driving is a problem to be solved.
And it's different from establishing the inital parameters of the learning environment. In Tesla specific terms, designing the cars to capture driving data from us humans while we drive and ship it back to the mother ship, and then feed that data into a learning environment from which a neural network can start learning recurrent patterns and hopefully eventually the rules of the road and what safe driving looks like. And yes - it's difficult, but you can "pollute" a neural network with examples of bad driving behavior - it's just that you need enough of them that they look like they're the normal instead of the exception. Billions of miles of good to ok driving swamps dozens of miles of bad driving.
And it'll be humans that translate whatever models are learned into a program that gets downloaded back into our Teslas and generate boundary conditions with each release around what driving decisions that program will and will not make. Or it'll be humans that design the direct translation of learned and validated models into updates that are downloaded to our cars - I figure we're at least years and probably decades away from revisions to learned models going through automated testing and validation, and then being automatically downloaded, so that the round trip between driving experience, learned model, and updated driving model/logic has no humans directly involved.
Elon Musk on Twitter
Btw, just want to express a word of appreciation for the hard work of the Tesla Gigafactory team. Reason I camped on the roof was because it was less time than driving to a hotel room in Reno. Production hell, ~8th circle …
Btw, just want to express a word of appreciation for the hard work of the Tesla Gigafactory team. Reason I camped on the roof was because it was less time than driving to a hotel room in Reno. Production hell, ~8th circle …
zmarty
Member
Sooo... it means the bottlenecks are battery related? What other components are built there?
Not necessarily battery related, motors are also produced here. I think there are a few more items.
The important point is the production hell is about to be done. We got a heads up early today.
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