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Is Google’s AI research about to implode?

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Re: Is Google’s AI research about to implode?

#42

Earlier quoted context omitted.

Please read the article. I address some of the issues raised. My point is that Gebru's firing is symptomatic of some deep problems Google are experiencing. Thank you.

I read the article. Doesn't change the fact that your chosen title is clickbaity. Even if you disclaim it in the article itself.

It is a valid criticism that the headline is clickbaity.

Re: Is Google’s AI research about to implode?

#43

> Is Google's AI research about to implode? No. (For reference see https://en.wikipedia.org/wiki/Betteridge%27s_law_of_headline... ) Seriously though - even if the points in the article were true, none of them imply any kind of implosion or significant disruption in Google's research. > Maybe one day we will see the transition from Hinton (ways of representing complex data in a neural network) to Gebru (accountable r…

I don't think it's about whether Gebru "deserves" the credit, it's just a bad comparison on so many levels. Roughly like: "the transition from Ronaldo to Magnus Carlsen may be seen in the same way as we see the transition from Pelé to Lebron James". I also think it would be fair to speak in terms of communities and not of individuals, at least in modern science.

Re: Is Google’s AI research about to implode?

#45

Earlier quoted context omitted.

Yes, I stopped reading when it mentioned the last good paper was from 2017. This is simply not true. I don't have time to go through all of their papers right now, but as someone else mentioned the protein folding one was a real breakthrough. They also have lots of great stuff in the NLP space (something similar to gpt-3 like 2 years earlier). Also tons of stuff on the actual training architecture/methods. Edit: I wa…

It says the high point is 2017, not the last good paper. There are of course other good papers coming out go Google. But the novelty is dropping and the angst is increasing.

Lots of people think protein folding is a bigger deal than beating the go champion.

Re: Is Google’s AI research about to implode?

#46

Earlier quoted context omitted.

Hear hear. These clickbaity article titles are tiresome. Thanks for saying it like it is.

Please read the article. I address some of the issues raised. My point is that Gebru's firing is symptomatic of some deep problems Google are experiencing. Thank you.

Blah blah blah racism blah blah blah lgbtiqp blah blah blah parroting blag blah blah white male redditors.

Very good article.

Re: Is Google’s AI research about to implode?

#47

Earlier quoted context omitted.

Yes, I stopped reading when it mentioned the last good paper was from 2017. This is simply not true. I don't have time to go through all of their papers right now, but as someone else mentioned the protein folding one was a real breakthrough. They also have lots of great stuff in the NLP space (something similar to gpt-3 like 2 years earlier). Also tons of stuff on the actual training architecture/methods. Edit: I wa…

It says the high point is 2017, not the last good paper. There are of course other good papers coming out go Google. But the novelty is dropping and the angst is increasing.

But this is false as well. Bert was a great breakthrough in NLP in late 2018. IMO bigger breakthrough than AlphaGo, but less media friendly. It has freaking 16 000 citations and it's used all across industry.

Re: Is Google’s AI research about to implode?

#48

No. Every time someone makes a big stink about someone getting fired at one of the top tech companies, it is promptly followed by an article like this. A trillion dollar company that hires thousands of researchers and consistently produces some of the highest quality research with real results is not going to implode from one person being gone. Another pattern I've seen is someone leaving a company, followed by writi…

I believe you, but just for the sake of it: What AI research has had business value from Google in the last years that you could sell?

Re: Is Google’s AI research about to implode?

#49
This article is correct about underspecification, but completely dodges the argument on language and understanding, drawing the hackneyed, shallow distinction between "pattern matching" and "understanding".

How do you define understand? People just use the word "understand" to fill in for the magic stuff that they say humans can do but machines can't. They also sometimes use "symbolic reasoning" that way, but the best work on machine understanding and symbolic reason is done by DeepMind:

https://arxiv.org/pdf/2102.03406.pdf

The examples in the original article are about truth, not understanding, mainly because we don't have anything approaching a formal definition of 'understanding'. But, if anyone does, it is probably the deep learning community, where conferences in the last 3-4 years have had hundreds of papers working carefully to examine what is the nature and structure of the knowledge encoded in these kind of systems.

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