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Yeah it seems like her paper was light in technical substance and high in social justice activism. Pointing out that google emits carbon is worth consideration

Yeah it seems like her paper was light in technical substance and high in social justice activism. Pointing out that google emits carbon is worth consideration in the appropriate venues but it doesn’t really advance the state of the art.

ardit33 6y ago
You have to point the alternative costs though.... if non AI trained search, returned worse results, would that waste more energy? She didn't... which are the hallmark of bad research.
- CyberRabbi 6y ago
  Yes I agree. A substantive analysis of carbon emission should look at multiple countries, multiple industries, multiple companies, and all the outputs from those companies to give a good picture of what types of outputs are the most inefficient w.r.t. carbon emission.
- disgruntledphd2 6y ago
  How do you know? You're reading a non technical summary of an article, and taking it as gospel. I think I'm going to wait to see the paper before deciding whether or not it's good.
lsiebert 6y ago
We haven't read her paper, just an article about it. We can't read it, because google won't let us. That you don't see that as a problem is a little concerning.
- CyberRabbi 6y ago
  The article we are using as reference is a summary of her paper and is literally titled “we read [her] paper” from MIT Technology Review. What do you suggest might the article be getting wrong about her paper? Or are you suggesting that the information contained about the paper in the article is inherently invalid and should be ignored altogether?
  - dmurray 6y ago
    Additionally, according to TFA, it's not Google who don't want the article published. "Bender asked us not to publish the paper itself because the authors didn’t want such an early draft circulating online". Though they were happy to present it at a conference just one day later.
  - lsiebert 6y ago
    I'm saying that saying her paper was "light in technical substance" when we haven't read it is problematic. Any article such as this is going to be light on technical substance in comparison to the paper itself.
    - CyberRabbi 6y ago
      The article states her paper focused on the dangers of large language models: “Environmental and financial costs,” “Massive data, inscrutable models,” and “Research opportunity costs.” The dangers of large language models is an interesting topic but it’s not AI research and it doesn’t advance the state of the art of AI. When it comes to technical substance in the field of AI, her paper is indeed lacking in that unless the article completely failed to mention something that would directly qualify as original AI research.
      - pseudalopex 6y ago
        Her job was AI ethics.
        CyberRabbi 6y ago
        That is a good point. It says her field is “AI ethics,” not “AI.” So I have to admit that her paper was in her field. I also have to say that “AI” is a vastly different area of study than “ethics.” Very strange that Google has these organized in the same hierarchy.

ardit33 6y ago

You have to point the alternative costs though.... if non AI trained search, returned worse results, would that waste more energy? She didn't... which are the hallmark of bad research.

CyberRabbi 6y ago
Yes I agree. A substantive analysis of carbon emission should look at multiple countries, multiple industries, multiple companies, and all the outputs from those companies to give a good picture of what types of outputs are the most inefficient w.r.t. carbon emission.
disgruntledphd2 6y ago
How do you know? You're reading a non technical summary of an article, and taking it as gospel. I think I'm going to wait to see the paper before deciding whether or not it's good.

lsiebert 6y ago

We haven't read her paper, just an article about it. We can't read it, because google won't let us. That you don't see that as a problem is a little concerning.

CyberRabbi 6y ago
The article we are using as reference is a summary of her paper and is literally titled “we read [her] paper” from MIT Technology Review. What do you suggest might the article be getting wrong about her paper? Or are you suggesting that the information contained about the paper in the article is inherently invalid and should be ignored altogether?
- dmurray 6y ago
  Additionally, according to TFA, it's not Google who don't want the article published. "Bender asked us not to publish the paper itself because the authors didn’t want such an early draft circulating online". Though they were happy to present it at a conference just one day later.
- lsiebert 6y ago
  I'm saying that saying her paper was "light in technical substance" when we haven't read it is problematic. Any article such as this is going to be light on technical substance in comparison to the paper itself.
  - CyberRabbi 6y ago
    The article states her paper focused on the dangers of large language models: “Environmental and financial costs,” “Massive data, inscrutable models,” and “Research opportunity costs.” The dangers of large language models is an interesting topic but it’s not AI research and it doesn’t advance the state of the art of AI. When it comes to technical substance in the field of AI, her paper is indeed lacking in that unless the article completely failed to mention something that would directly qualify as original AI research.
    - pseudalopex 6y ago
      Her job was AI ethics.
      - CyberRabbi 6y ago
        That is a good point. It says her field is “AI ethics,” not “AI.” So I have to admit that her paper was in her field. I also have to say that “AI” is a vastly different area of study than “ethics.” Very strange that Google has these organized in the same hierarchy.