In this post-apocalyptic scenario I think the range would be secondary to using the battery for day-to-day living. The RV could have solar and keep the battery topped off all the time.
Correct, that's a bit of an odd guess. You are definitely working closely with your foundry on something like this, but unless you are building some truly exotic device, I don't think their vendor is getting involved.
Like Melkman says, Broadcom is a good guess. Not only for past rumors, but iirc they also did work with google's TPU (could never figure out if that was actually confirmed?).
Interconnect IP like that is definitely in their wheelhouse.
Folks understand L1 and L5. The levels between are such a blur and mix-match of things that I don't think anything is even accomplished having these levels. I agree with you, from what I have seen Tesla is far ahead and rapidly progressing using the right approach of training NNs while having a human behind the wheel.
> ...the right approach of training NNs while having a human behind the wheel.
Can someone please help me across a conceptual bridge here?
Is there some work I'm not familiar with that shows humans use the biologically-equivalent NNs used by Tesla to accomplish L5-grade driving? I'm not talking about doing it quickly, I'm at this point interested in Tesla or anyone else for that matter demonstrating doing it at all, at any speed. It can be at an agonizingly-slow 0.25 km/hour and that would be fine.
I'm having trouble bridging between L5-the-destination and NNs-are-definitely-the-way-to-get-there. This sounds an awful lot like saying NNs-are-the-Moravec's-Paradox-solution, and I'm not sure I've read conclusively how that can be true. I can accept it as a hypothesis, but other than actually trying it out like Tesla is doing, I haven't read why it is such a strong conjecture.
It sounds from articles like [1] and [2] Tesla is only just now starting to really get into applying NNs more broadly to the problem space, and the prior years were mostly focusing on more conventional machine vision techniques and getting clean data for NNs to ingest. But I've yet to read a convincing explanation for how ML will functionally solve even the subset of Moravec's Paradox needed to accomplish L5. I grant that it will solve a facsimile of the paradox, but I feel it is arguable if it will be a reasonable facsimile. That sounds an awful lot like, "we'll brute force throw enough training data at it to reach 'reasonable facsimile' level", and I'm cautious when I hear of brute forcing as a strategy for arriving at R&D results.
> Not until they reach parity of charging station with petrol station
One thing to remember is that all ICE cars need a gas station but not all EVs need a public charging station. I only use a charging station for long road trips the rest of my charging is done at home.
I would love to see re-certification of "professional" drivers. Almost daily I encounter taxi or semi-truck operators driving at the limit of what is acceptable.
