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I completely missed that the interview he posted was almost a year ago.
He was right about ChatGPT moment in terms of hype (at least within the Tesla community.) Hopefully he’ll be wrong about it being a ChatGPT moment in terms of results.
How likely on a scale from 1-10 do you think it is that if use the same fundamental tech for one non-safety-critical and non-time-critical application and “fail” and apply the same thing to a safety-critical and time-critical problem and have it succeed?
 
I completely missed that the interview he posted was almost a year ago.
He was right about ChatGPT moment in terms of hype (at least within the Tesla community.) Hopefully he’ll be wrong about it being a ChatGPT moment in terms of results.
Wow so that confirmation repost by Elon brings in the timeline for cars driving themselves with no one into the end of 2024, doesn’t it?

This counts as Elon confirming this timeline, for sure. Since Twitter aspires to be the best source of truth on the Internet, this sort of post would quickly be hidden if it were not going to happen.


Big, if true.
 
Wow so that confirmation repost by Elon brings in the timeline for cars driving themselves with no one into the end of 2024, doesn’t it?

This counts as Elon confirming this timeline, for sure. Since Twitter aspires to be the best source of truth on the Internet, this sort of post would quickly be hidden if it were not going to happen.


Big, if true.
Elon's timelines should generally be taken as aspirational, at best. I always shift the duration units to the next level. Week becomes month. Month becomes year. And year becomes decade.

I find this makes his (and any other CEO's) predictions much more accurate.
 
Elon's timelines should generally be taken as aspirational, at best. I always shift the duration units to the next level. Week becomes month. Month becomes year. And year becomes decade.

I find this makes his (and any other CEO's) predictions much more accurate.
At this point, anyone who believes Elon's time predictions is either naive, a troll or just plain stupid.
 
How likely on a scale from 1-10 do you think it is that if use the same fundamental tech for one non-safety-critical and non-time-critical application and “fail” and apply the same thing to a safety-critical and time-critical problem and have it succeed?
I think there’s zero chance end to end with existing NN architectures will achieve human performance (per Tesla, 1 collision per million miles).
 
Not sure about taking over but humanoid robots are easier because they don’t weigh two tons and move 60mph.
I disagree. Cars are operating in a highly structured environment. Robots (in a factory, or domestic) need to navigate a completely novel environment that it has never seen in pre-training. There are no traffic lights, stop signs or lane markings. Also it will kill your toddler or pet if it falls over even at 50-70kg and the noise level is probably 60-70dB at present from the motors and fans. Not happening before 2040 is my best guess. Probably later for domestic and outdoors (autonomous) operations. There are no ML architectures really capable of task breakdown and high level planning right now. There are no ML architecture that learn/adapt while deployed outside trivial sandboxes.
 
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I disagree. Cars are operating in a highly structured environment. Robots (in a factory, or domestic) need to navigate a completely novel environment that it has never seen in pre-training. There are no traffic lights, stop signs or lane markings. Also it will kill your toddler or pet if it falls over even at 50-70kg and the noise level is probably 60-70dB at present from the motors and fans. Not happening before 2040 is my best guess. Probably later for domestic and outdoors (autonomous) operations. There are no ML architectures really capable of task breakdown and high level planning right now. There are no ML architecture that learn/adapt while deployed outside trivial sandboxes.
Lots of difficult to predict humans of all shapes and sizes in that structured environment though.
Good point about humanoid robot around kids though. It seems lien you could have humanoid robots in factories but I don’t see the advantage over other robot designs.
 
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I disagree. Cars are operating in a highly structured environment. Robots (in a factory, or domestic) need to navigate a completely novel environment that it has never seen in pre-training. There are no traffic lights, stop signs or lane markings. Also it will kill your toddler or pet if it falls over even at 50-70kg and the noise level is probably 60-70dB at present from the motors and fans. Not happening before 2040 is my best guess. Probably later for domestic and outdoors (autonomous) operations. There are no ML architectures really capable of task breakdown and high level planning right now. There are no ML architecture that learn/adapt while deployed outside trivial sandboxes.
Seems less than 16 years away to me:
 
Been posted elsewhere but belongs here.

Tough to find relevant Tweets amongst the stream of diarrheal drivel these days.


Chief Cheerleader (mild term): No. Hardware 3 is a little smoother
Elon: Hardware 4 will ultimately be better, but all training is for Hardware 3, with HW4 running in emulation mode