21–30 of 112 posts
Somehow, I'm reminded of the Tsar tank from WW1. The Russians knew that a new weapon of war: an armored car, was necessary to break the stalemate of trench warfare. This hypothetical armored car needed many features: the most important was that it must be able to move across the muddy no man's land reliably. Tests have shown that regular sized wheels would get stuck in the mud. A bigger wheel has more surface area an…
Somehow, I'm reminded of the Tsar tank from WW1. The Russians knew that a new weapon of war: an armored car, was necessary to break the stalemate of trench warfare. This hypothetical armored car needed many features: the most important was that it must be able to move across the muddy no man's land reliably. Tests have shown that regular sized wheels would get stuck in the mud. A bigger wheel has more surface area an…
Earlier quoted context omitted.
At this point, everyone knows the whole thing is a joke. The robotaxi race was supposed to be already finished by 2020 alongside with FSD at Level 5 - today it is still Level 2. So, where are the so-called robotaxis?
Did you see the presentation from Karpathy? Tesla goes for a general vision only end-to-end deep AI model that could in theory get rolled out everywhere on earth with enough training and a good approach for fast edge-case solving, which they showed how this can be accomplished. All the other players try to solve this with lidar and cars that cost around 500k to build and they have pretty much 0 data except for the ma…
> This approach will never solve L5.
Again, Tesla advertised FSD as Level 5 and ready for completion with the robotaxis for 2020. Sounds like it was falsely advertised right?
Earlier quoted context omitted.
Did you see the presentation from Karpathy? Tesla goes for a general vision only end-to-end deep AI model that could in theory get rolled out everywhere on earth with enough training and a good approach for fast edge-case solving, which they showed how this can be accomplished. All the other players try to solve this with lidar and cars that cost around 500k to build and they have pretty much 0 data except for the ma…
> Tesla goes for a general vision only end-to-end deep AI model that could in theory get rolled out everywhere on earth with enough training and a good approach for fast edge-case solving, No amount of "training" can fix the problem of "AI" not being AI These people have very poor idea what they are talking about when they say the phrase "artificial intelligence." It's a clear misuse
Even assuming that it's true (which I very much doubt - anyone that's willing to spend enough money with Nvidia, can have powerful supercomputer fairly quickly), it's very dishonest statement. It's comparing deployed system with a lab prototype of a single competent of potential supercomputer, that may be fully operational in few years (software is a really, really, really big deal here).
Somehow, I'm reminded of the Tsar tank from WW1. The Russians knew that a new weapon of war: an armored car, was necessary to break the stalemate of trench warfare. This hypothetical armored car needed many features: the most important was that it must be able to move across the muddy no man's land reliably. Tests have shown that regular sized wheels would get stuck in the mud. A bigger wheel has more surface area an…
I agree with your points on the robotaxi front, but there are many other problems that will totally benefit from a bigger training computer.
I don't really think it's that many.
The industry collectively sank untold billions into the blind belief that neural algorithms will somehow turn into "AI."
10 years later, no "AI," and not even a single money making niche use.
Right now the industry is deep in sank cost falacy, and people who promised this, and that to investors are now desperate, and doubling their bets in hopes that "at least something will come out of it...," a casino mode basically.
> This chip is not Tesla designing something that is better than everyone else all by themselves. We are not at the liberty to reveal the name of their partner(s), but the astute readers will know exactly who we are talking about when we reference the external SerDes and photonics IP. Any "astute readers" here who know who the partner would be?
My astute guess is ASML.
To my limited ASML knowledge, ASML is a fab equipment maker, not a silicon IP procider.
Earlier quoted context omitted.
At this point, everyone knows the whole thing is a joke. The robotaxi race was supposed to be already finished by 2020 alongside with FSD at Level 5 - today it is still Level 2. So, where are the so-called robotaxis?
Did you see the presentation from Karpathy? Tesla goes for a general vision only end-to-end deep AI model that could in theory get rolled out everywhere on earth with enough training and a good approach for fast edge-case solving, which they showed how this can be accomplished. All the other players try to solve this with lidar and cars that cost around 500k to build and they have pretty much 0 data except for the ma…
“they have pretty much 0 data except for the maps they generate themselves”
What do you mean by this? You realize the bottleneck for training data generation is always human labeling, not raw amount of data, right?
Earlier quoted context omitted.
Did you see the presentation from Karpathy? Tesla goes for a general vision only end-to-end deep AI model that could in theory get rolled out everywhere on earth with enough training and a good approach for fast edge-case solving, which they showed how this can be accomplished. All the other players try to solve this with lidar and cars that cost around 500k to build and they have pretty much 0 data except for the ma…
So happy to meet someone else who gets it on hacker news.