@Kichae@kbin.social @Kichae@tenforward.social @Kichae@kitchenparty.social

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Joined 1 year ago
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Cake day: July 18th, 2023

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  • We tried and tried in big and bigger Collider to find any trace of dark matter. I think scientist begin to find anything else that could explain the cosmos (even if it is flawed), because dark matter seems more and more unlikely, after all those year looking for it

    We’ve spent years and years eliminating the low hanging fruit – as one should do first – but that doesn’t resolve the dark matter problem at all. The more exotic types are really, really hard to detect in particle colliders the scale of which we can readily build.

    It would be nice to say “we looked for it, but it doesn’t seem to exist”, but we can’t say that. We’re nowhere close to saying that. Detecting particles that are hypothesized to only interact via gravity is insanely difficult.






  • There’s a lot of things that LLMs are really good at, or incredibly useful for, such as ingesting large bodies of text, and then analyzing them based on your ability to create well thought out prompts.

    That’s the story people tell at least. The weasel phrase at the end is fun, I guess. Leaves a massive backdoor excuse when it doesn’t actually work.

    But in practice, LLMs are falling down even at this job. They seem to have some yse in academic qualitaruve coding, but for summarizing novel or extended bodies of text, they struggle to actually tell people what they want to know.

    Most people do not give a shit if text contains a reference to X. And if they do, they can generally just CTRL+F “X”.



  • Almost exclusively day-ta.

    I’m a day-ta scientist who grabs raw day-ta from a tay-ta warehouse (using an interface that makes it look like a day-ta base) and manipulates it inside day-ta frames in order to do day-ta analysis. I also design day-ta analytics schemas.

    Sometimes, though rarely, that day-ta warehouse holds rah dah-ta, though, and I can’t tell you how it got there or why.