CarlK
Active Member
I guess the logic here is with the new computer, the calculation is faster and thus, it will reduce the chance of collision.
But I agree with you that if software makes a decision to go ahead and crash into a Semi Trailer then it doesn't matter whether that decision is slow or fast, the collision will occur until the software will start to issue the correct instructions by braking instead of speeding.
Instruction part is straightforward the key is the neural net needs to recognize an object as either 100% a hazard or 100% not a hazard. When the software failed to do that it most likely was because neural net had not been trained (enough) for that particular situation. The new neural net (Karpathy said was developed using Software 2.0) is likely not the same and most importantly it will get a lot more training utilizing the faster HW3.
From one of the comments made from people who took the 4/23 test ride it looks the entire HW/SW system had been put in the field and learned how to do those very impressive thing for only ~3 months.
The assumption I'm making is the capability of the SW is being limited by the capability of the HW.
So with more capable HW means that the SW can be significantly improved.
One possible example of this is the visualization that's shown on the FSD demo video from autonomy day. I'd love to have that Visualization (that I believe was possible due to the Neural Network running on HW3) on my car.
Definitely. Both software itself and the deep learning capability due to faster processor had be significantly improved. I don't think what old AP used to do has any relevance in the new FSD although it's hard for people not to make the connection.
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