| >The github project looks to be using an existing recording of a car driving from the comma2k19 dataset and predicting the expected vehicular response. No pedestrians endangered. You sure? Yes, he's using a dataset for training, but nothing about his post indicates he's not running it the trained model on real roads. He claims to be testing the trained models: >I did a few tests where pedestrians where suddenly crossing the road and the model gave it’s best job to not hit the human crossing the road. How is he running these feedback tests? If the angle of the steering wheel changes the video input that is produced, how can he test that the AI would avoid hitting the human, unless he's testing in real life? >My reading of it was that OP was in awe at the immense scale of engineering that went into Autopilot He said how impossibly-long Autopilot's models take to train, and then goes on to say "When we compare this to what I will show you, you are gonna see that this is insane." It sounds like we're reading this differently, but to me, that sounds like "what they're doing is so over the top, you can achieve pretty good results in this space at a fraction of that, and I can prove it." >It feels a bit much to admonish a newcomer to the space for perceived arrogance and irresponsibility I don't care about what he's pursuing, and if you took it that way, then understand it is not my intention. I care that he is essentially putting a drunk AI driver behind the wheel of a car on roads shared by everyone, and endangering their lives. Apparently that's an unpopular opinion, given some of the responses ("big tech companies do it and bribe politicians to get away with killing people"). But I think it's the responsible opinion. |