gabegobblegoldi

4 ms·

1.
by gabegobblegoldi 2y ago
Looks like he aligned himself with the wrong folks here. He is a system builder at heart but not an expert in chip design or EDA. And also not really an ML researcher. Some would say he got taken for a ride by a young charismatic grifter an
2.
by gabegobblegoldi 2y ago
The court case provides more details. Looks like the junior researchers and Jeff Dean teamed up and bullied Chatterjee and his team to prevent the fraud from being exposed. IIRC the NYT reported at the time that Chatterjee was fired within
3.
by gabegobblegoldi 2y ago
Markov’s paper also has links to Google papers from two different sets of authors that shows minimal advantage of pretraining. And given the small number of benchmarks using a pretrained model from Google whose provenance is not known would
4.
by gabegobblegoldi 2y ago
In this case there were credible claims of fraud from Google insiders. See my comment above.
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by gabegobblegoldi 2y ago
As Markov claims Nature did not follow their own policy. Since Google’s results are only on their designs, no one can replicate them. Nature is single blind, so they probably didn’t want to turn down Jeff Dean so that they wouldn’t lose fut
6.
by gabegobblegoldi 2y ago
Peer review is not designed to combat fraud.
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by gabegobblegoldi 2y ago
Additional context: Jeff Dean has been accused of fraud and misconduct in AlphaChip. https://regmedia.co.uk/2023/03/26/satrajit_vs_google.pdf
8.
by gabegobblegoldi 2y ago
Good question. I thought the tpus were a way for Google to apply pricing pressure to nvidia by having an alternative. They are not particularly better (it’s hard to get utilization), and I believe Google continues to be a big buyer of nvidi
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by gabegobblegoldi 2y ago
Thanks.
10.
by gabegobblegoldi 2y ago
Interesting == Suspicious? I think this is a big red flag to those in the know.
11.
by gabegobblegoldi 2y ago
Sorry. I meant obscure relative to the large space of combinatorial optimization problems not just chip design. Most design houses don’t write their own macro placers but customize commercial flows for their designs. The problem with macro
12.
by gabegobblegoldi 2y ago
Doesn’t look like it. In fact the original paper claimed that their RL method could be used for all sorts of combinatorial optimization problems. Yet they chose an obscure problem in chip design and showed their results on proprietary data
13.
by gabegobblegoldi 2y ago
Vindicated indeed. The senior researcher and others on the project were bullied for raising concerns of fraud by the two researchers [1]. They filed a lawsuit against Google that has a lot of detailed allegations of fraud [2]. [1] https:&#