• 1 post
  • 23 comments
Joined 9 months ago
Cake day: September 27th, 2025
  • I really love this show. I’ll rewatch it every now and again. After my own mom died, “Free Churro” really hit differently. It’s a really beautiful dive into the thoughts and emotions that can come up when your mom is recently dead but your mom was also chronically an asshole.

    The exploration of Beatrice’s and Bojack’s relationship thoughout the series, and the flashbacks to how Beatrice’s own trauma shaped her and her relationship with Bojack, and Bojack’s final acceptance that now, finally, he knows there’s no chance she’ll ever be the mother he wanted or the one he needed, really helped me come to grips with what I was going through, mentally and emotionally.

    The rest of the show is also really good. I’m a big fan of Character Actress Margo Martindale.

  • Yeah, I think of it kind of like protocol negotiation. If I speak a technical protocol my conversation partner doesn’t, my options are either to get them using my protocol, I switch to a common protocol, or we don’t speak. Sometimes, if the topic is important enough, the first and third options are preferable. Other times, particularly in casual conversation, I opt for the second one. I still try to be precise, and that can mean an occasional specialty word and accompanying definition, but it’s costly to the conversation and if I’m not careful I can get bogged down in explaining minutia instead of getting to my point. Maybe it’s more like treating new concepts economically rather than treating jargon as a discrete protocol, though I tend to think of jargons as protocols, you can kind of add them into a common protocol a la carte. They’re just computationally expensive for people absorbing them if they’re also trying to follow a conversational thread at the same time, and too many can blow the budget and cause people to tap out, so I try to add only the ones I really need.

  • P.S. This is a hypothesis, I haven’t even designed the test for it, much less run it. What follow are my suppositions.

    I think whether or not it’s a good idea depends on how similar all the models are. I don’t have a rigorous definition of “similar” but things like similar training data, similar design methodologies, similar QA processes would all contribute. Theoretically (I think), if they’re all dissimilar, they should each catch errors the others miss. However, the more similar they are, the more likely they have the same biases and weak spots, and your error rate from a response + verification may be the same or even higher than the error rate for just the original prompt, and you’d be unlikely to detect those errors using just two similar models. It can instill false confidence in the results because you’re doing something that should in theory increase the validity of the data, but in practice might make no difference or even make the quality of responses worse.

  • I think it’s tricky. It’s kind of like adding LLMs like vectors, and hopefully the effect can soften or at least reveal the shortcomings of individual models. Is it a good idea? I don’t know, I think there are good reasons to think it’s a waste of time and resources. I certainly think I’d need a better explanation of what use it would be before I spent more time building it. But I still think about what use it would be from time to time; I haven’t decided that it’s a bad idea yet.

  • One of the projects I started and never got to a satisfactory end state was basically that, plus a judging round. Every model would respond to the same prompt, then every model would evaluate every other model’s response for accuracy and completeness. Then the results would get logged to a spreadsheet.

    It’s simple enough, but for N models it requires N + N^2 model calls so it takes forever to run any decent dataset on consumer hardware. If I had the resources and a way to run it that didn’t fry the planet, I think it would be a cool running set of comparative benchmarks. IDK if it’d be useful at all but I’m still interested to see the data.

  • Yup, ollama, various models. I initially downloaded it because I, along with thousands of other people, wanted to see what would happen if I made models debate with each other after RAGging them with various books (The Prince, The Art of War, The complete works of Shakespeare, etc.).

    The results were uninteresting and I abandoned the project pretty quickly. I’ll sometimes use them for code analysis but they’re too slow on my rig to be really useful.

  • It’s very confusing when it happens to someone you know because they usually aren’t horrible people. Nor are they particularly stupid, at least not more or less than your average human.

    I think people in left-of-center spaces like to say things like “The Republican party is a cult” as a sort of disparaging cliche without really appreciating what a cult is or how they operate in real life. They see things like “Donald Trump ate a live baby on camera today, also his support among Republicans is at 90%” and assume that 90% of Republicans are cool with infant cannibalism, when in reality those Republicans just don’t see the same news we do. They are actually in a cult, which means (among other things) that they are conditioned to believe the cult leader (Trump, at the moment) and his approved mouthpieces, and only them. They’re reminded, constantly, that the left is deranged and willing to say anything to make Trump look bad, so when Trump does something so heinous it actually does penetrate their media bubble, it gets brushed off as more evidence of the left’s lunacy. It’s a very resilient form of conditioning and it’s been going on way longer than the internet’s been around, and it’s… really hard. Because they aren’t horrible people, mostly. They’re mostly scared, and broke, and confused about the world, and they flock to people like Trump because they have been told by their handlers that he’s their best bet. Once he’s dead or too toxic even for the Republicans, they’ll be reoriented toward the next leader.

  • The problem of the dead internet isn’t that there are no human users, but that the human users are isolated from each other or herded into ideologically suitable echo chambers, where misinformation and lies can be harder to resist because they already have momentum. It’s also hard to prove because we’ve demonstrated the inclination to do it to ourselves even without malign orchestrating influences like giant corporations.

    An indicator of a dead internet wouldn’t be that no one in your IRL experience uses the internet, but that either A) their experiences are extremely congruent with your own (you’re both in the same bubble) or B) their experience of the internet reality has no shared basis with your own (only one of you is in a bubble, or you’re both in separate bubbles). Which… does happen to me occasionally, especially with older folks. A lot of people are caught in the dead internet of facebook, and are being groomed and manipulated like cattle. The export products of the bot farming industry are influence, votes, hatred of minorities, etc. I suspect a lot of the MAGA elements of my family are deep into dead internet traps, though of course it’s hard to get an accurate picture of their media diet because they don’t trust me enough to share it.

    Do I think this means the internet is now Certified Dead? No, but I think it’s a sliding scale of deadness and it’s somewhere between 0 and 100 percent. Where on that scale we are is difficult to pin down.