• 1 Post
  • 167 Comments
Joined 2 years ago
cake
Cake day: February 10th, 2025

help-circle

  • Does he have billions of dollars and a friend group who owns most of the stadiums and concert venues in the United States?

    Pretending Ed Shereen and Robert Kraft are equally bad in this situation is disingenuous. One made the decision to blacklist anti-genocide artists and the other didn’t fight him.

    Talking about Ed Shereen, in the context of this story, is providing a smoke screen for Kraft and the other owners who are using their wealth to try to control messaging on Israel.

    Unless you’re collecting a paycheck to, I can’t imagine how this is difficult to understand.












  • Yes, that is true.

    But the source of murders is always a person, not the tool.

    Just to be clear, I’m not making some kind of anti-gun control argument. I’m just explaining why that metaphor is flawed.

    The problem at a murder scene isn’t the gun, it’s the person who used it. Nobody is mad at the gun, or worried that it will suddenly murder again.

    Much like here. The problem isn’t AI, the problem is the people who are choosing to deploy AI in this way.

    It’s the people


  • AI as it stands is a symbol of Capitalism and the problems it embodies.

    I know and agree.

    I’m only saying that promoting that symbol is damaging in other ways, such as to the sciences.

    Some people may be expressing an opinion with that type of nuance (and I do agree with it) but, what appears to be the large majority of social media users on this topic don’t make that distinction and those people attack the sciences/non-LLM uses of the technology.

    Yes, overuse of local water and power supplies is damaging, the replacement of workers is causing all kinds of economic issues, the ability for AI to enable mass surveilance and authoritarians is an urgent problem that needs to be addressed AND ALSO the people trying to fight against it are causing collateral damage to other important aspects of society, an example being that it’s making ML/AI a less popular major which will result in less researchers/slower advancement.

    It’s important to point out that there have been several advances in AI that have significantly reduced the computation requirements. So, whatever the demand for AI will ultimately be, it will require an order of magnitude less datacenters because of this kind of research.

    The source of the problems here are the people making the decision to deploy the technology in this way and their outsized influence on the government that should be regulating their actions.

    AI is just the current topic. Outsourcing was another huge topic in the Clinton era. After that we had the post-crash bailout and the mass acquisition of housing by large capital funds in order to control the rental/real estate markets.

    All of these things caused massive economic issues for the vast majority of people and were entirely done because the people that benefitted were able to influence the government and prevent their regulation.

    This isn’t an AI problem. It’s a power, influence and corruption problem. AI’s destructive deployment is just the current symptom.




  • This is a real problem, I already see it with CS students.

    AI is useful in some limited scenarios, the problem is that when you’re learning CS all of the scenarios that you’re given as exercises are almost trivial to solve and fall within AI’s capability to do for you. That completely handicaps a student in ways they don’t even understand until much later.

    It isn’t until they get into more complex projects, where AI flounders, that they recognize that they have rarely had to troubleshoot an issue so they don’t have the mental framework to do so. They’re not comfortable with the tools, and they haven’t internalized the methodology so they hit a brick wall.

    If you’re a student now, avoid it at all costs. It’s easier to use AI, of course, but facing the difficulty and overcoming it is probably the most important part of learning anything.




  • Yes of course there are a large number of people that criticise any use of generative AI, whether it’s for good or bad. But this doesn’t mean that every criticism involving AI is a criticism of the use of AI, rather than a criticism of the way that it is being used by the person using it. You would have to be extremely inept to make that mistake of comprehension.

    I can tell you, as someone who is against the capitalist orgy of datacenters while also understanding the world changing implications of neural networks, that the loudest people/bots in the anti-AI conversation do not recognize such nuance.

    There is very much a real push by some people in this space to label any use of AI technology as evil. That’s a dangerous meme to spread on social media. How many future ML scientists and researchers are we losing because people swap out of the field due to this misdirected hatred being pushed in social media?