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Self-driving as a case study for AGI

karpathy.github.io

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Re: Self-driving as a case study for AGI

#11

Post by kylebenzle »

CuriouslyC wrote: post #10

I don't things like "full self driving" are meaningful (and probably also AGI), because in reality it isn't a binary thing, rather it's a spectrum of power based on error rate and problem space coverage. Waymo self driving works within a defined subset of the problem space, we can stick a goalpost in the sand in term of the known problem space and error rates and say that represents "full self driving" but the realit…

That's a great point! In aviation we could easily call major jet liners "full self flying" if they wanted to market them as such but we still require TWO highly trained technicians in the piolets seats at all times!

Re: Self-driving as a case study for AGI

#12

Post by alooPotato »

freediver wrote: post #6

I too did not realize Waymo is operating in SF and looked for some videos on YT and found this. It paints not so rosey picture about it: https://www.youtube.com/watch?v=-Rxvl3INKSg

Ha yeah it would have been a super interesting segment if the car just picked her up and dropped her off where she was going with no incident.

Re: Self-driving as a case study for AGI

#13

Post by CuriouslyC »

SnazzyJeff wrote: post #8

IMO a chatbot is sufficient to demonstrate AGI. I think the chinese room problem is as good as anything. Of course, there isn't much money in teaching a bot that only knows english chinese. EDIT, Wikipedia page for context: https://en.wikipedia.org/wiki/Chinese_room

People like to shit on the Turing test, but if you step back from the subjective judgement angle, and instead imagine that the person performing the Turing test is a scientist trying to collect evidence that the agent that it is communicating with is _NOT_ intelligent/human, it is actually still very relevant. Tools like statistical analysis of output and responses to jailbreak prompts and recursive/self referential prompts designed to confuse machines and generate emotional responses from humans could be used to generate probability of human/not human in a much more rigorous way.

Re: Self-driving as a case study for AGI

#14

Post by kylebenzle »

SnazzyJeff wrote: post #8

IMO a chatbot is sufficient to demonstrate AGI. I think the chinese room problem is as good as anything. Of course, there isn't much money in teaching a bot that only knows english chinese. EDIT, Wikipedia page for context: https://en.wikipedia.org/wiki/Chinese_room

Try, "ChatGPT, what do you think about this song"...

LLMs do not constitute "AI" let alone the more rigorous AGI. They are a GREAT statistical parlor trick for people that don't understand statistics though.

Re: Self-driving as a case study for AGI

#15

Post by threeseed »

The question is with what hardware.

Humans are able to move our heads to infer depth and resolve issues like occlusion.

No amount of AGI can solve those if we say take a Tesla and the cameras are low quality, fixed and limited in number.

And the same hardware question applies to a lot of use cases for AGI.

Re: Self-driving as a case study for AGI

#16

Post by kylebenzle »

threeseed wrote: post #15

The question is with what hardware. Humans are able to move our heads to infer depth and resolve issues like occlusion. No amount of AGI can solve those if we say take a Tesla and the cameras are low quality, fixed and limited in number. And the same hardware question applies to a lot of use cases for AGI.

Can there be more than one high quality camera, or is that not allowed?

Re: Self-driving as a case study for AGI

#17

Post by omeze »

freediver wrote: post #6

I too did not realize Waymo is operating in SF and looked for some videos on YT and found this. It paints not so rosey picture about it: https://www.youtube.com/watch?v=-Rxvl3INKSg

I use Waymos every week, Im sure there were early problems with navigation but its been flawless every time Ive rode for the past few months

Re: Self-driving as a case study for AGI

#18

Post by blovescoffee »

CuriouslyC wrote: post #10

I don't things like "full self driving" are meaningful (and probably also AGI), because in reality it isn't a binary thing, rather it's a spectrum of power based on error rate and problem space coverage. Waymo self driving works within a defined subset of the problem space, we can stick a goalpost in the sand in term of the known problem space and error rates and say that represents "full self driving" but the realit…

The very beginning of the article discusses what "full self driving" means and also points out how important it is to define terms. I'm not sure your comment is a fair response to this particular article.

Re: Self-driving as a case study for AGI

#19

Post by jackblemming »

Something tells me Karpathy rarely uses the “FSD” in his Tesla. He barely mentioned Tesla FSD in the blog despite being a key leader in the project. Perhaps he’d like to forget about it all together..

Maybe Elon really screwed the project by forcing the use of video cams and Karpathy is still salty about it.

Re: Self-driving as a case study for AGI

#20

Post by arlecks »

threeseed wrote: post #15

The question is with what hardware. Humans are able to move our heads to infer depth and resolve issues like occlusion. No amount of AGI can solve those if we say take a Tesla and the cameras are low quality, fixed and limited in number. And the same hardware question applies to a lot of use cases for AGI.

Simple test which I expect they have tried: Can a human drive successfully with only the video from the cameras?
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