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Really not true. We have all the tools available... Just model a city in Unreal Engine 4 (GTA 6 anyone?). Your sensors, like LIDAR could do ray-queries, cameras
by martamorena284 6y ago
Really not true. We have all the tools available... Just model a city in Unreal Engine 4 (GTA 6 anyone?). Your sensors, like LIDAR could do ray-queries, cameras could render views, etc. It's not 100% real, but probably real enough to learn the basics. Photorealistic graphics should be sufficient for AI to learn real-world interaction. In the end our whole world might be just that, a simulation. So I see zero reason why we couldn't train a self-driving car AI in one.
And the coolest thing is that this could also be used as a basis for a AAA video game, and these tend to make billions as well these days, so it's a win win for everyone. AI companies with funding should invest heavily into virtual reality and gaming, because they will need to perfect this to train their models.
- mckirk 6y agoThe problem is that these simulations are far from perfect, and AIs are great at exploiting paths-of-least-resistance. So you'd end up with an AI that could drive through your virtual city flawlessly by overfitting on some cues that you wouldn't even notice, but are reliable enough because of the necessarily lower complexity of the simulation. It wouldn't translate to the real world; unless maybe you add enough noise to the simulation to prevent the AI from using too simple cues, but at that point, it's questionable how much insight the AI could still distill from the simulation.