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Cake day: March 22nd, 2024

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  • 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.






  • In each case, existing social and communication-­oriented tasks tended to be displaced by new tasks that involved more interaction with the robots than with the residents. Instead of saving time for staff to do more of the human labor of social and emotional care, the robots actually reduced the scope for such work.

    That’s legitimately chilling. I guess just like quality of art and writing is too hard to quantify against “efficiency” and “productivity” so is quality of care. The slow AIs are literally optimizing humans out of the economy before our eyes and the people who were most afraid of being turned into paperclips are the ones leading the goddamn charge.


  • I’m not familiar with the cannibal/missionary framed puzzle, but reading through it the increasingly simplified notation reads almost like a comp sci textbook trying to find or outline an algorithm for something, but with an incredibly simple problem. We also see it once again explicitly acknowledge then implicitly discard part of the problem; in this case it opens by acknowledging that each boat can carry up to 6 people and that each boat needs at least one person, but somehow gets stuck on the pattern that we need to alternate trips left and right and each trip can only consist of one boat. It’s still pattern matching rather than reasoning, even if the matching gets more sophisticated.




  • I think we’re going to see an ongoing level of AI-enabled crapification for coding and especially for spam. I’m guessing there’s going to be enough money from the spam markets to support a level of continued development to keep up to date with new languages and whatever paradigms are in vogue, so vibe coding is probably going to stick around on some level, but I doubt we’re going to see major pushes.

    One thing that this has shown is how much of internet content “creation” and “communication” is done entirely for its own sake or to satisfy some kind of algorithm or metric. If nobody cares whether it actually gets read then it makes economic sense to automate the writing as much as possible, and apparently LLMs represent a “good enough” ability to do that for plausible deniability and staving off existential dread in the email mines.




  • The fact that it appears to be trying to create a symbolic representation of the problem is interesting, since that’s the closest I’ve ever seen this come to actually trying to model something rather than just spewing raw text, but the model itself looks nonsensical, especially for such a simple problem.

    Did you use any of that kind of notation in the prompt? Or did some poor squadron of task workers write out a few thousand examples of this notation for river crossing problems in an attempt to give it an internal structure?



  • I wouldn’t think that our poking and prodding is sufficient to actually impact usage metrics, and even if it is I don’t think diz is using a paid version (not that even the “pro” offerings are actually profitable per query) so at most we’re hastening the financial death spiral.

    Besides, they’ve shown an ability to force the narrative of their choosing onto basically any data in order to keep pulling in the new investor money that’s driven this bubble well beyond any sensible assessment of the market’s demand for it.