this post was submitted on 02 Nov 2024
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It's almost like they bet on the AI to teach the AI, rather than continuing to pay for skilled engineers.
Buckle up folks, we're going to see a lot more of this, across every industry, before the lawsuits go into high gear and anything gets better.
Since the first time I heard about FSD I’ve been wondering why Tesla (or others) doesn’t set up a system where drivers opt-in (no opt-in by default) to sending anonymized driving data to help train the model. The vast majority of the time, it’s probably modeling OK driving. At least no accidents. But the shitty driving and accidents are also useful as data about what to avoid.
Maybe they’re already doing this? But then I wonder why their FSD is getting shittier rather than improving. One would think with more driving data, good and bad examples, would only help.
I would be shocked to discover they're not already doing this.
https://www.reuters.com/technology/tesla-workers-shared-sensitive-images-recorded-by-customer-cars-2023-04-06/
Not enough paid humans sorting between which data is examples of good behaviour and which data is examples of bad behaviour. Not saying that is what is happening as we don't even know if there is data, but that would be the weakness in that plan when run the way it would be run if instituted by elon.
Good point.
Yeah. Current generation learning models can do impressive things in the hands of a skilled engineer, but Elon is leading a round of class warfare against skilled engineers right now.
Shareholders need to decide which they really want to bet on to win.
That's exactly how they train the model, but every Tesla is opted in with, to my knowledge, no option to opt out.
That's what they do except for the opt in part.
I don't believe that you can use traditional algorithms to teach the car street driving, because there are to many different variations of intersections, traffic signs, special conditions like accidents, heavy Rain or fog, road closures or construction sites to get it right every time. Even if your autopilot is 99% correct and you drive 20000km a year, you still drive wrong 200km of it.
This doesn't mean that AI will be better, because then you don't even have a source code to track down where it went wrong to correct it in future updates.
Exactly!
And this is why, if the problem is solveable, it must be solved by learning models shepherded by expert engineers. The LLMs can take care of the long boring stretches, freeing skilled engineer time to fine-tune an LLM algorithm hybrid for the tricky bits.
I'm inclined to believe the problem is solveable, but since I'm not selling anything, I'm allowed to say "if". Heh.