kogasa

This already exists. https://libraryofbabel.info/

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I'm not suggesting that. It just looks like he did in fact choose to have that hair color.

It looks dyed

This is almost the plot of a doctor who episode

Yes, but that's not how LLMs work. My statement depends heavily on the fact that a LLM like GPT is coaxed into coherence by unsupervised or semi-supervised training. That the training process works is the evidence of an internal model (of language/related concepts), not just the fact that something outputs coherent statements.

I tend to agree, but I also don't see it as a fault of Linux/Arch. If you're not the sysadmin for your own system, who is? I'd rather do it, assisted by the collective knowledge of the community, than have Microsoft do it for me. For the last few years it's only required a handful of interventions, with the vast majority of time being spent on initial setup and (re) configuration rather than fixing bugs or addressing breaking changes. So IMO it's more of a test of your personal willingness to invest time into learning and building things than your ability to diagnose and solve technical issues.

It must have some internal models of some things, or else it wouldn't be possible to consistently make coherent and mostly reasonable statements. But the fact that it has a reasonable model of things like grammar and conversation doesn't imply that it has a good model of literally anything else, which is unlike a human for whom a basic set of cognitive skills is presumably transferable. Still, the success of LLMs in their actual language-modeling objective is a promising indication that it's feasible for a ML model to learn complex abstractions.

Typst is pretty functional

The benefits don't halve. It's the difference between noticing stroboscopic effects and not noticing them. Between not being able to comfortably track fast moving objects and being able to. 1000Hz is a point at which several limitations of LCD technology become invisible.

It's extremely easy to tell the difference. I can't tell you what's wrong with their experiment as I don't know exactly what they did, but they clearly fucked it. If you're looking at a static image, you can't differentiate 240Hz from 30Hz. You need a test that actually demonstrates the difference.