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Cake day: March 22nd, 2024

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  • It really aggressively tries to match it up to something with similar keywords and structure, which is kind of interesting in its own right. It pattern-matched every variant I could come up with for “when all you have is…” for example.

    Honestly it’s kind of an interesting question and limitation for this kind of LLM. How should you respond when someone asks about an idiom neither of you know? The answer is really contextual. Sometimes it’s better to try and help them piece together what it means, other times it’s more important to acknowledge that this isn’t actually a common expression or to try and provide accurate sourcing. The LLM, of course, has none of that context and because the patterns it replicates don’t allow expressions of uncertainty or digressions it can’t actually do both.


  • I tried this a couple of times and got a few “AI summary not available” replies

    Ed: heh

    The phrase “any pork in a swarm” is an idiom, likely meant to be interpreted figuratively. It’s not a literal reference to a swarm of bees or other animals containing pork. The most likely interpretation is that it is being used to describe a situation or group where someone is secretly taking advantage of resources, opportunities, or power for their own benefit, often in a way that is not transparent or ethical. It implies that individuals within a larger group are actively participating in corruption or exploitation.

    Generative AI is experimental.












  • Recently, I found myself dealing with a hallucinating Grok (as the xAI chatbot is known). I was working on an article […] I offered Grok a very specific query: […] What followed was like an argument with an especially lucid drunk.

    Imagine this, but everything and forever.

    Edit:

    The listeners did become suppliers, in line with Brecht’s democratic vision. Some of us are listening and hearing, but many more of us are shouting over one another, brought into relationships that are as likely to be conflictual as nourishing. That “vast network of pipes” pictured by Brecht turned out to be controlled by the same sort of venal moguls who gave us radio in the first place, and they lined those pipes with lead.

    I think calling the current model one where “the listeners became suppliers” is a misunderstanding of how we got here. If the point was to connect people in a two-way link then the context needs to shift away from a third party’s efforts to profit from it. Like, we don’t see all the crazies and grifters because we seek them out or what they’re trying to do, but because it’s profitable for the platforms and providers to connect us to them instead of the people we’re actually trying to reach, whether that be to hang out with friends/family, learn from a teacher/writer/journalist, or participate in an open society. Our ability to make those connections has been hijacked in order to boost the level of insanity because it’s more profitable to take advantage of both sides desire for connection without actually letting either one get what they want or need.




  • I think the other big objection is that the value of the information you can get from a prediction market basically only approaches usability as the time to market close approaches zero. If you’re trying to predict whether an event is actually going to happen you usually want to know with enough of a time lead to actually do something about it, but at the same time that “do something about it” is going to impact the actual event being predicted and get “priced in.”

    It’s that old business aphorism about making a metric into a target. Even if prediction markets were unambiguously useful as informational tools and didn’t have any of the incredibly obvious perverse incentives and power imbalances that they do, as soon as you try to actually use that information to do anything the market will start to change based on the perception of the market itself. Like, if there’s a market on someone being assassinated, you need to factor in not only the chances of it happening on its own but also the chances of it happening given that a high likelihood from the prediction market will result in additional safety measures being deployed or given that a small likelihood from the market may cause them to take on riskier public appearances or otherwise create more opportunities. If you don’t actually use the information for anything then it might be capturing something, but that something becomes wildly self-referential is the information is actually used in any way.