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> When was the last time they did anything good? Oh I dunno... how about that time they solved protein folding? https://www.nature.com/articles/d41586-020-033

> When was the last time they did anything good? Oh I dunno... how about that time they solved protein folding? https://www.nature.com/articles/d41586-020-03348-4 https://www.nature.com/articles/d41586-020-03348-4

deleted 5y ago
[deleted]
rrobukef 5y ago
Mad science to prove the point.
nbardy 5y ago
Or the other reams of world class machine learning research and model weights they've released freely.
- sterlind 5y ago
  perhaps this is whoosh, but I thought Google wasn't releasing their model weights or source code, at least for a lot of things. like with WaveNet, it was easy to train but computationally infeasible to run the way they published the paper. then it turns out there's a trick that makes playing it forward far more efficient, which Google later acknowledged using internally, but didn't disclose.
  - CodesInChaos 5y ago
    What kind of trick? At a glance wavenet looks like you could reuse most of the computation from earlier timesteps (would gave to take a closer look to see if it'd actually work), but I assume you're talking about something less obvious?
  - nbardy 5y ago
    They don't always release weights and often the code and weights are delayed from the paper. But more often than not they release a lot of their weights and/or research code.
martin1975 5y ago
that's great. Whom has been impacted by this and how, in more detail? I would say Google Maps is far more impactful and good than any protein folding....
- InGoodFaith 5y ago
  This seems a bit disingenuous considering that progress and advancement in certain fields might not show a direct benefit until years down the line. It's a building block that might pave the way for something else.
  - martin1975 5y ago
    Right. It may not pan out however. Whereas the impact of Google Maps is already proven.
MikeUt 5y ago
You mean the time they bought the company that solved protein folding.
stonogo 5y ago
An academic tour de force of little practical benefit, because of insufficient openness from the AF2 team. For nuance, see https://moalquraishi.wordpress.com/2020/12/08/alphafold2-casp14-it-feels-like-ones-child-has-left-home/amp/# https://moalquraishi.wordpress.com/2020/12/08/alphafold2-cas...

deleted 5y ago

[deleted]

rrobukef 5y ago

Mad science to prove the point.

nbardy 5y ago

Or the other reams of world class machine learning research and model weights they've released freely.

sterlind 5y ago
perhaps this is whoosh, but I thought Google wasn't releasing their model weights or source code, at least for a lot of things. like with WaveNet, it was easy to train but computationally infeasible to run the way they published the paper. then it turns out there's a trick that makes playing it forward far more efficient, which Google later acknowledged using internally, but didn't disclose.
- CodesInChaos 5y ago
  What kind of trick? At a glance wavenet looks like you could reuse most of the computation from earlier timesteps (would gave to take a closer look to see if it'd actually work), but I assume you're talking about something less obvious?
- nbardy 5y ago
  They don't always release weights and often the code and weights are delayed from the paper. But more often than not they release a lot of their weights and/or research code.

martin1975 5y ago

that's great. Whom has been impacted by this and how, in more detail? I would say Google Maps is far more impactful and good than any protein folding....

InGoodFaith 5y ago
This seems a bit disingenuous considering that progress and advancement in certain fields might not show a direct benefit until years down the line. It's a building block that might pave the way for something else.
- martin1975 5y ago
  Right. It may not pan out however. Whereas the impact of Google Maps is already proven.

MikeUt 5y ago

You mean the time they bought the company that solved protein folding.

stonogo 5y ago

An academic tour de force of little practical benefit, because of insufficient openness from the AF2 team. For nuance, see https://moalquraishi.wordpress.com/2020/12/08/alphafold2-casp14-it-feels-like-ones-child-has-left-home/amp/# https://moalquraishi.wordpress.com/2020/12/08/alphafold2-cas...