> creating magic everywhere they go
Like specifically what has he done?
Like specifically what has he done?
- At Stanford, Led research on the first (to my knowledge) crop of joint image/text models. Super widely cited work.
- At Tesla, led their whole self driving effort for a while, came up with critical techniques that allowed them to make progress (e.g., the concept of "auto labelling": using a much larger NN to generate training data with which to train smaller models that could fit in the on-device compute. IIRC, Elon said they would not have been able to make progress without this insight).
I'm not sure his educative efforts for the mold of what you're looking for, but if so, the course he designed at Stanford (and availed online):for neural networks, as well as his blog posts, (most famous of which, to my knowledge, is "the unreasonable effectiveness of LSTMs"), made a huge impact on educating a generation of tinkerers and researchers.
I can guarantee you this was built-in from day #1
I'm guessing you're not a developer if you don't then automatically think of end cases like "what if car # 1 isn't in the preceding frame" ... (then you look at some relevant test data and see it was there, unlabelled ...)
You seem to have missed the main point anyway - using a larger model to generate labels for a smaller one is what the parent was highlighting, not the temporal labeling alone. The gold standard at the time was human labeling (eg Waymo). Deep learning was just having its moment, all of this stuff was cutting edge, and there is a lot of work in between a published paper and actually applying that to production vehicles.
Generating a training set, training on it, and then inferencing on the trained model are three different things.
1) Generating the auto-labelled training set was of course done on Tesla's supercomputer, based on data from 1000s of cars.
2) Using the generated training set to train the in-car model would also be done offline.
3) The trained (and tested) model is then deployed to the car and used by the vision system to label image segments ("stop sign", "cyclist" etc).
How could this be divided up any other way?!
Karpathy seems like a great guy, but honestly there seems to be little to nothing in his background that makes him stand out as an architecture guy or being very creative. Maybe his thesis on image captioning is his most creative work, but at the end of the day this consisted of feeding the output of a CNN into an LSTM, conceptually very similar to the way language translation was being done at the time by feeding the output of an encoder LSTM for language A into a decoder LSTM for language B, except Karpathy was using an image encoder (off the shelf CNN) since he wanted to describe (caption) images. It was certainly at least somewhat innovative at the time, but what he was really famous/popular for at Stanford was for teaching the CS 231n class on using CNNs, and this is what he continues to be best known for - explaining how things work.
My Tesla drives to walmart, finds a parking spot, comes to me outside walmart and drives me home. I've been driving my model 3 for years, and honestly, i've never had to "Take over" due to a saftey issue.
How old are you if you don't mind me asking?
>I could never trust a Tesla to drive safely around people. They seem like death traps.
Have you ever been in a Tesla? It's literally been rated the safest car in America since it's inception.
I've driven a Tesla on and off for about 4 years, and I'm thankful to never do so again.
> death trap
https://apnews.com/article/tesla-crash-doors-musk-regulators...
> It's literally been rated the safest car in America since it's inception.
I'm locating our disconnect a bit better: something can be marked "safest car" for road tests but still be rife with issues, like its obnoxious UI choices, etc.
I can just tell you hate eveything Elon, so this is a pointless conversation. That was a post from Karpathy, who we are all talking about in the thread, so i thought it was the most pertinent. I'm sure you can google it, it's proven, so no point arguing that it didn't happen.
Obviously, since you can't even use X out of your hate for Elon, There's no way you have "Driven a Tesla on and off for four years". Thats just a lie. NHTSA has given every vehicle a 5/5, and model 3 is "The top saftey pick" of all cars for their crash test results.
The safety comes from the inherent electric drives. They are much less likely to flip and much less likely to catch fire.
from your Tesla Deaths, 772 deaths over hundreds of billions of miles is absolutely incredible. Do you have any data to share on Fords mile to death ratio? Do you offer any comparisons? Or are you still just hating elon, for being elon?
Edit: Also, have you looked through the Tesla Deaths that you posted? A drunk driver is involved in alot of those, at no fault to the Tesla. One of the largest "Tesla Deaths" was someone driving on the wrong side of the freeway and they crashed into the tesla killing a whole family in the Tesla. How on earth are you using this slop as evidence that Tesla's are unsafe.... That's not ignorance, that's actually just evil...
I’m not going to keep engaging with someone who makes wild assumptions about my stance and accuses me of lying, ignorance, and evil. I was really hoping for video proof; I know Elon is the type of guy to hold that high with all that SpaceX footage.
Good day sir :)
You really think from 5k cars to the 9m they've produced today, has only gone downhill? have you tried FSD since 2012? lol
Edit: ooooohhhhhh, i actually remember you now looking at your past comments. You are the one who hated on the book "there is no antimemetics division" for being too "Cliche" which is like mine and everyone i knows fav book of all time. You are just a type of person that hates everything that is universally loved... I get it now.
We can arbitrate about what "self-driving success" means until the cows come home, but my point is I've seen a lot of self-driving failures from the Teslas I've witnessed in person.
I was more looking for signal that him + Anthropic might yield something beyond a step-change from Opus 4.7 (disappointing so far). We have not gotten to use Mythos yet, I wonder if that will become Opus 5 or something.
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EDIT: It looks like you deleted the part of your post I quoted below. So feel free to ignore my question about it, I guess.
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Not sure what you mean by
> Shows how much you know
Do you mean that the fact that I misremembered a word on the title suggests that I know very little about Karpathy's contributions to the field of neural networks?