Stretch2727
Engineer and Car Nut
Not an AI or NN expert but 2 questions with regards to v12 FSD.
1. How does the neural net end up being a relatively small dataset/program compared to all the video data input? Does the NN scale linearly with more data training or is it a fixed "system" just learning more information. In other words is there a constraint when doing more and more training that the NN could be come too large to run in the car.
2. How will they train for accident avoidance? Will there need to be some programming for this or will they need to find many situations where a good driver avoided an accident or at least minimized the consequences.
1. How does the neural net end up being a relatively small dataset/program compared to all the video data input? Does the NN scale linearly with more data training or is it a fixed "system" just learning more information. In other words is there a constraint when doing more and more training that the NN could be come too large to run in the car.
2. How will they train for accident avoidance? Will there need to be some programming for this or will they need to find many situations where a good driver avoided an accident or at least minimized the consequences.
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