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You don't "solve" autonomous driving as such. There's a long, slow grind of gradually improving things until failures become rare enough.
by AlotOfReading 1y ago
You don't "solve" autonomous driving as such. There's a long, slow grind of gradually improving things until failures become rare enough.
- petesergeant 1y agoI wonder at what point all the self-driving code becomes replaceable with a multimodal generalist model with the prompt “drive safely”
- AlotOfReading 1y agoOne of the issues with deploying models like that is the lack of clear, widely accepted ways to validate comprehensive safety and absence of unreasonable risk. If that can be solved, or regulators start accepting answers like "our software doesn't speed in over 95% of situations", then they'll become more common.
- deleted 1y ago[deleted]
- anon7000 1y agoVery advanced machine learning models are used in current self driving cars. It all depends what the model is trying to accomplish. I have a hard time seeing a generalist prompt-based generative model ever beating a model specifically designed to drive cars. The models are just designed for different, specific purposes
- tshaddox 1y agoI could see it being the case that driving is a fairly general problem, and this models intentionally designed to be general end up doing better than models designed with the misconception that you need a very particular set of driving-specific capabilities.
- anythingworks 1y agoexactly! I think that was tesla's vision with self-driving to begin with... so they tried to frame it as problem general enough, that trying to solve it would also solve questions of more general intelligence ('agi') i.e. cars should use vision just like humans would but in hindsight looks like this slowed them down quite a bit despite being early to the space...
- shakna 1y agoDriving is not a general problem, though. Its a contextual landscape of fast-based reactions and predictions. Both are required, and done regularly by the human element. The exact nature of every reaction, and every prediction, change vastly within the context window. You need image processing just as much as you need scenario management, and they're orthoganol to each other, as one example. If you want a general transport system... We do have that. It's called rail. (And can and has been automated.)
- melvinmelih 1y ago> Driving is not a general problem, though. But what's driving a car? A generalist human brain that has been trained for ~30 hours to drive a car.
- shakna 1y agoHuman brain's aren't generalist! We have multiple parts of the brain that interact in vastly different ways! Your cerebellum won't be running the role of the pons. Most parts of the brain cannot take over for others. Self-healing is the exception, not the rule. Yes, we have a degree of neuroplasticity, but there are many limits. (Sidenote: Driver's license here is 240 hours.)
- Zanfa 1y ago> Human brain's aren't generalist! What? Human intelligence is literally how AGI is defined. Brain’s physical configuration is irrelevant.
- yokto 1y agoThis is (in part) what "world models" are about. While some companies like Tesla bring together a fleet of small specialised models, others like CommaAI and Wayve train generalist models.