Better sensors won’t help. It’s a problem of creativity and adaptability. AI does well when things are stable and predictable, as deep down they’re about pattern recognition and complex prediction models. But they can’t come up with something unique and rationally useful that adapts to an unpredictable or chaotic circumstance. Our current modeling paradigm for AI can’t do that yet. You can train one AI to drive in snow, but you can’t train an AI that drives well on a regular condition which could spontaneously adapt to an unforeseen snowy road. The model just breaks and stop working properly. While a human who drives well, could quickly adapt to a sudden snow pour even if it is the first time encountering it. As humans can be instructed (current AI can’t) via receiving compressed information about what to expect and how to react to a snowy road. An AI has to train (go through the real situation) or it can’t adapt.
Better sensors won’t help. It’s a problem of creativity and adaptability. AI does well when things are stable and predictable, as deep down they’re about pattern recognition and complex prediction models. But they can’t come up with something unique and rationally useful that adapts to an unpredictable or chaotic circumstance. Our current modeling paradigm for AI can’t do that yet. You can train one AI to drive in snow, but you can’t train an AI that drives well on a regular condition which could spontaneously adapt to an unforeseen snowy road. The model just breaks and stop working properly. While a human who drives well, could quickly adapt to a sudden snow pour even if it is the first time encountering it. As humans can be instructed (current AI can’t) via receiving compressed information about what to expect and how to react to a snowy road. An AI has to train (go through the real situation) or it can’t adapt.