[jeffbee]

It seems like this is multiple parties pursuing distinct arguments. Is Google saying that this technique is applicable in the way that the rebuttals are saying it is not? When I read the paper and the update I did not feel as though Google claimed that it is general, that you can just rip it off and run it and get a win. They trained it to make TPUs, then they used it to make TPUs. The fact that it doesn't optimize whatever "ibm14" is seems beside the point.

[clickwiseorange]

Good question. It's not just ibm14, but everything people outside Google tried shows that RL is much worse than prior methods. NVDLA, BlackParrot, etc. There is a strong possibility that Google pre-trained RL on certain TPU designs then tested in them, and submitted to Nature.