| You're linking to his amended complaint - his original complaint was thrown out because it alleged things like "Google's motto is don't be evil, but they were evil, thus defrauding me." According to a Google investigator's sworn statement, he admitted that he didn't have evidence to suspect the AlphaChip authors of fraud: "he stated that he suspected that the research being conducted by Goldie and Mirhoseini was fraudulent, but also stated that he did not have evidence to support his suspicion of fraud". I feel like if someone persistently makes unsupported allegations of fraud, they should not be surprised if they get shown the door. The comparison against commercial autoplacers might be this one (from That Chip Has Sailed - https://arxiv.org/pdf/2411.10053): "In May of 2020, we performed a blind internal study[12] comparing our method against the latest version of two leading commercial autoplacers. Our method outperformed both, beating one 13 to 4 (with 3 ties) and the other 15 to 1 (with 4 ties). Unfortunately, standard licensing agreements with commercial vendors prohibit public comparison with their offerings." [12] - "Our blind study compared RL to human experts and commercial autoplacers on 20 TPU blocks. First, the physical design engineer responsible for placing a given block ranked anonymized placements from each of the competing methods, evaluating purely on final QoR metrics with no knowledge of which method was used to generate each placement. Next, a panel of seven physical design experts reviewed each of the rankings and ties. The comparisons were unblinded only after completing both rounds of evaluation. The result was that the best placement was produced most often by RL, followed by human experts, followed by commercial autoplacers." |
Also, you are using an unreviewed document from Google not published in any conference to counter published papers with specific results, primarily the Cheng et al paper. Jeff Dean did like that paper, so he can take it up with the conference and convince them to unpublish it. If he can't, maybe he is wrong.
Perhaps, you are biased toward Google, but why do think we should trust a document that was neither peer-reviewed nor published at a conference?