Because Trump likes being antagonistic. And the notion that plundering America is just a distraction from the files is itself a convenient distraction from the plundering of America.
> Why has not a single person been prosecuted since the files were released?
I'm not sure anything is a distraction from the Epstein files. I don't think the administration cares about the Epstein files. What would be the fallout if they were all released? We already know that a lot of wealthy people were raping children. It's not like the US is going to prosecute.
That's the neat part though, isn't it? It's a product that's so good that there's no everyday alternatives to it. I was researching cat litter options recently and cat owners do a lot of thinking and talking about litter, because there's a variety of different materials, none of which are solidly better than all others in all situations. But aluminium foil is so good that we don't even think about it, because it's by far the best product for every application that we use it for.
The fundamental problem is that reality has a surprising level of detail (as described in an article by the same name). The founder is the same kind of guy that believes the government should just get rid of inefficiencies.
One thing that I find helps is just avoiding the word "why" as well. Restructuring to say "how come" or "I'm wondering..." or "am I understanding right that..." helps avoid putting people on their guard.
> At minimum you have to filter out 90%+ of people that simply don't have the mental faculties to evaluate what is and isn't a valid argument, before you even get started.
I don't think this is true. There are times when I do think it's true, and when I start feeling that way I know it's time to step back because I can no longer engage constructively.
Text is a hard medium to have a back-and-forth in. The features that make it useful for explaining also make it easy to feel ignored and insulted.
I think a lot of people also go online and write things when they feel argumentative, so comment sections self-select for people who want to argue.
Whenever I feel intellectually superior to someone, I try to remind myself that I can barely change the oil filter in my car, and there's a lot of people out there who can't write a line of Python but who save tens of thousands of dollars doing their own maintenance.
> I don't know why Opus would try to create an entire library when I told it specifically to do something simple that would take 2-3 lines of Python.
Because it reasons in one direction. First it encounters some kind of issue with 2-3 lines of Python that might make it not work, and then it goes onto plan B, which is making a library, but it doesn't circle back and compare the effort of making the library to working around whatever might make the 2-3 lines not work. Except sometimes it does, because it's inscrutable.
> The core issue there isn't that the LLM isn't building internal models to represent its world, it's that its world is limited to tokens. Anything not represented in tokens, or token relationships, can't be modeled by the LLM, by definition.
I've noticed that LLMs struggle with tic tac toe, even when I get them to draw it out. And it makes sense! Tic tac toe is an extremely visual game, and difficult to reason about in a single dimension.
> It seems like we forget that LLMs are next token prediction systems.
It's pretty clear to me that above a certain size threshold, LLMs are more than a sum of their parts. The sheer amount of training data seems to embed a higher level of reasoning.
This already isn't the case for the popular models. The knowledge baked into the weights tells the model how to talk and reason, but for world knowledge they do a web search right off the bat most of the time.