Autonomous driving has to solves issues of evaluation of the state of the world around it from limited sensor data. yes so do humans but there are plenty of humans who are utterly (legally and physically) unable to drive cars who are still considered (non artificial) general intelligences...
If you put a human behind a screen with a textual interface and ask them to solve problems (novel or otherwise) based purely on text in and out then it's entirely possible for them to be a General Intelligence through that filter. If an artificial entity did well in the same environment enough it would be considered (by many) to be an AGI.
Therefore self driving is not a requirement to solve AGI. I agree it is almost certainly something where the capabilities inherent in making any AGI would be massively helpful, I posit it is a much much simpler problem in general because it is amenable to altering the rules of the game (if it turned out that we needed a legal requirement that all vehicles indicated their direction of intended travel by some V2V method and that clinched it to the point we could deploy it widely then we may well add that requirement to all new cars - effectively redefining the problem and shifting the goal posts - but to the end goal it's immaterial except in cost/time)
If you want to pick a specific task that's more likely to be a strict subset of AGI consider being able to describe a game in human language of any sort expressible through the textual interface and being able to play the game, and over time play the game well (better than 50% of the population). It's fine if it needs to ask questions to understand the game. The Alpha system used for Go/Chess and bunch of others is neat, but requires humans to explain (in code terms) the rules of the game. There's some usage of 'just playing' with a built in scoring function and the indication of success. But someone explaining it is rather different...
If you put a human behind a screen with a textual interface and ask them to solve problems (novel or otherwise) based purely on text in and out then it's entirely possible for them to be a General Intelligence through that filter. If an artificial entity did well in the same environment enough it would be considered (by many) to be an AGI.
Therefore self driving is not a requirement to solve AGI. I agree it is almost certainly something where the capabilities inherent in making any AGI would be massively helpful, I posit it is a much much simpler problem in general because it is amenable to altering the rules of the game (if it turned out that we needed a legal requirement that all vehicles indicated their direction of intended travel by some V2V method and that clinched it to the point we could deploy it widely then we may well add that requirement to all new cars - effectively redefining the problem and shifting the goal posts - but to the end goal it's immaterial except in cost/time)
If you want to pick a specific task that's more likely to be a strict subset of AGI consider being able to describe a game in human language of any sort expressible through the textual interface and being able to play the game, and over time play the game well (better than 50% of the population). It's fine if it needs to ask questions to understand the game. The Alpha system used for Go/Chess and bunch of others is neat, but requires humans to explain (in code terms) the rules of the game. There's some usage of 'just playing' with a built in scoring function and the indication of success. But someone explaining it is rather different...

