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I'd argue you are massively underestimating the complexity of AGI (or overestimating the complexity of self driving). > Navigating a construction zone with a f
by olalonde 7y ago
I'd argue you are massively underestimating the complexity of AGI (or overestimating the complexity of self driving).
> Navigating a construction zone with a flag man directing you on the opposite shoulder requires a brain, not pattern matching. Opening the window and following verbal directions...
Both of those things seem very much in the realm of what's possible with today's AI tech.
I'd bet a lot of money that self-diving cars will predate AGI by quite a bit.
- computerex 7y ago> I'd bet a lot of money that self-diving cars will predate AGI by quite a bit. I think that may be true, but I don't think they will get there merely by on-board computers/radars/lidars/machine vision. I don't think Level 5 autonomous driving is possible with just the aforementioned technologies. The laymen have a vastly inflated sense of what today's "AI tech" is and its capabilities, which boil down to curve fitting. At best, we may get geo-fenced cars that operate under highly controlled conditions. Whilst I think self-driving is a great problem to solve and is probably helping push the envelope of AI, I think using AI to solve this problem is fundamentally the wrong approach. I think we may need to take a leaf from aviation if we really want autonomous vehicles to become a reality. Airplanes don't use machine vision to land for instance, they use radionavigation. I think cars having transponders of some type to detect other cars, and defining where drivable paths are based on some radio signal supported by the infrastructure is the way to go for reliable and robust autonomous driving.