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I'm no expertbut I am an ex AI coder from ages back and think about this a lotProbably the wrong forum for this...but does anybody understand why a different form factor vehicle (like Cybertruck) is such a difficult addition?
In my admittedly non-AI-familiar brain: I can understand why camera locations need to be at least similar from one model to the next...but beyond thatit seems like the model used to drive the car could/should include parameters related to vehicle geometry (lengthwidthheight)where that geometry is relative to the camerasand probably also some vehicle dynamics information (how it acceleratesdeceleratesand turns given some software input). It seems likebeyond thatnot much training should be needed...much like a human -- a new car is a bit unfamiliarbut you get used to it within a few mileswhether it's a Mini Cooper or an F-250.
I could see the Cybertruck adding some addtional complexity due to the rear-wheel steeringsince that's a dynamic variable that wasn't present before. I could also imagine that perhaps having a completely different power steering setup like Cybertruck could add some extra need for different code...but even those seem rather minornot the sort of thing that needs an extra year of training across thousands of vehicles.
To meit seems likeat least in an ideal worldall of the vehicles with the same AI hardware and camera setup should be able to run the same codewith just slight modifiers based on the geometry and dynamics notes above.
Sorry for off-topic...just looking for a quick few sentences explanation/theorizingsince this came to mind after AndrewZ's post.
NoTesla never lost near as much money for equal volume of sales. It was never anywhere near as bad as Rivian's lossesTesla was in the same boat as rivian at some point in the past. Sure it’s a hard hill to climbharder now with competition.
Elon said "Robo-Taxi hardware capable vehicles" or something to that effect. That also ended up not being true but still different than what you imply"next year for surewe’ll have over a million robotaxis on the road." is non-committal?
I don't think that hyphenated word means what you think it means.
If you mean driverless then not only do we not know thatwe know for a fact they're NOT doing that as they don't the proper permits to do so in California.
(unless by private you mean entirely on private property- which is pretty pointless for telling us anything about public road capability or safety).
In the long-term yesbut realistically the order that keeps the company alive to get to this FSD dream is: carsmegapackspowerwallsand then FSD software sales.
I'll go on record with others that againFSD won't be ready in 2025. If it isI'll be selling my shares and gone from the site!
Happy New Year!
I'm speculating a new thread will be opened and it will be like Groundhog Day movie and all the same talking points get repeated again.Is the title of this thread referring to a best before datean expiration date or an it will get better soon date?
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WellI don't know if all that's true.I'm speculating a new thread will be opened and it will be like Groundhog Day movie and all the same talking points get repeated again.
I didn't disagree with your postas I think the intent of what you said is valid: Tesla has demonstrated many times they are willing to make the decision to change course despite needing to start from at/near square oneabandon plans/effort/sunk costtake on a new roleetc...It’s never been difficult for Tesla to pivot on anything. Ever. Dropping Mobileye was a pivot. Dropping radar was a pivot. Going vision-onlydespite many cries from so-called “experts”was a pivot. Dropping heuristics and going end-to-end was a pivot.
Each of these was a massive change in approach. Tesla does not fall victim to the sunk cost fallacy.
Not only is Tesla the one creating and setting trendsthey’re also among the fastest pivoting companies in the world.
... but.... can't the stealing Chinese steal the curated and trained data directly from Tesla? They have done it with impunity in the past. Cisco and Tesla comes to my mind.Training a perception and autonomous driving neural network requires tons and tons of video data of driving. Much different storymuch larger moat. Many petabytes of data must be uploaded from the field to gather the data to do something like what Tesla’s doing. Who else can do that? Not many.
In theory yes. But I don't think stealing petabytes of data is an easy task. Tesla is not foolish enough to make it available to a public networkand you can't walk into the server room with a 50 PB jumpdrive... but.... can't the stealing Chinese steal the curated and trained data directly from Tesla? They have done it with impunity in the past. Cisco and Tesla comes to my mind.
Why steal the raw material when you can steal the finished product.
Not saying that pivoting is easy. Just that Tesla has no problem committing to a decision to pivotvery much because Elon is acutely aware of sunk cost fallacyand his DNA is built on the concept of "fail fastfail oftenand iterate."I didn't disagree with your postas I think the intent of what you said is valid: Tesla has demonstrated many times they are willing to make the decision to change course despite needing to start from at/near square oneabandon plans/effort/sunk costtake on a new roleetc...
But I think to suggest it hasn't been difficult doesn't acknowledge that doing so (often successfully) is what sets Tesla apart. Making the decision no doubt has been difficult... and then executing on that decision is a tremendous effort... the fact that from the outside it often doesn't seem so is a testament to how hard they work.
Excellent work by Jordan as usual. If you want to know why the Cybercab only has wireless chargingthis has many answers. It shows how thoroughly Tesla has thought about the overall cost structure of the robotaxi business.
Que?I don't see this thread on the TSLA Investor Discussions page. I could only get to it clicking the link @ggr posted