Zvi Mowshowitz: preference

Transcript context

…No. It hadn't occurred to me to do that. That's potentially genius. I think there's a lot of advantages to it. One disadvantage is it starts to warp what you like. I use likes very tactically to positively reinforce other people's actions and to fix the algorithm and sort of just like, my for you page is not something I use almost ever, but it is not sloppy because I am so prudent with this in a way that, like, I really do appreciate. It's a good sign. But, like, it's not designed to be a searchable thing. It's not designed to be like, maybe it has to be. Maybe it's something you have to do. Like, a lot of the posts that make it into my roundups do not get liked. Right? Like, I like them if I like them. Right? But sometimes I'm responding to you because I don't think you really like what you're saying, but it's important. But, yeah, this idea that, like, it's very hard to get models to properly check Twitter because of the way that Twitter is designed to, like, keep them out on purpose is really frustrating, and that can be a situational awareness problem. However, I I would caution against trying to make your AI too situationally aware, when doing this kind of editing. I think the AI is doing a good thing here of open face is not a thing. So one of things I really like about AI editing is that we will complain that things don't parse, that sentences make no sense, that terms did not be did not get recognized. Because often I'll say, oh, no. I know what that is. That's this is this is it comes from here and there. But, like, that doesn't mean the average reader's gonna get it. And so if the AI doesn't get it, right, if they both can't figure it out, if Opus can't figure it if Saul can't figure it out, the average person is a lot less situationally aware and a lot less able to put together lots of disparate information than the AI is in general. And that's a sign that this is not something everyone's gonna get. And quite often, I will say that's okay. This is a reference. This is a callback. This is a multilayered thing. And I'm if it's not entirely obvious to you exactly where this is coming from. It's sort of an Easter egg. Right? It's it's it's it's a bonus for those who pay close attention and who know all the same sources I do and have the same cultural backgrounds and put in the work and they're paying attention over the course of months and years. Other times, like, no. No. This was load bearing, and you don't get it. So that's problem. I need to fix that. And so it's kind of an alert system. And if you make sure it it's looking at exactly the same things you're looking at, right, you can get the illusion of transparency from that is what my worry would be. So you wanna make sure you were in the mode where they didn't have that information. And, also, I don't want the AI to be checking the same exact sources that I'm checking necessarily because I want the AI to form an independent opinion. e mode where they didn't have that information. And, also, I don't want the AI to be checking the same exact sources that I'm checking necessarily because I want the AI to form an independent opinion. So if I'm forcing it to look at exactly the sources that I have, that's a problem. At the same time, sometimes you get tired of having to, like for the fifth time, it's just a fable that, no, x AI merges SpaceX. Because somehow, it doesn't occur to it to, like, either trust me or if then ten seconds Google, I need to confirm this. And it's just kinda frustrating. But it is worth it. One tip, for what it's worth, and I agree that there's a lot to be figured out in terms of exactly how this should work. But the XAPI is really good. It's it's paid, and you literally just pay per query. But for couple bucks a week, you can get enough access that all your bot anti bot problems or your scraping problems pretty much go away. And then I don't know if you'd use bookmarks or whatever, some sort of different way to avoid using your likes to to feed the…

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