keegomatic

Collar.

I’m vaguely aware of Org-mode but only as an alternative to Markdown. Last time I looked into it, though (years ago), Markdown seemed like a much better option for me for various reasons. Do you have a good argument for why Org-mode is a better choice for common use cases than the relatively universal GitHub-flavored Markdown?

Okay at first I was pretty convinced that this was just the wrong way to accomplish what I thought your goal was. But now, after reading the StackOverflow post and your README, I think this is fascinating and frankly really awesome. What a clever and strange thing, using multiline comments that way, and string no-ops. I think just knowing this exists will cause me to find reason to use it.

I’ve been using Kagi. It works well. I like it. Costs money, but that’s a positive in my book.

This one I can really get behind

Not really an issue. If you want to see this content from defederated instances that everyone else finds obnoxious or disruptive, then you can either browse from an instance that doesn’t defederate that content, or spin up your own personal instance to browse from. It’s easy to move to a different instance. Your choice.

I see this complaint a lot but honestly I don’t quite understand what the big deal is. Not everyone is subscribed to the same communities. Personally, I’d love a feature on kbin/lemmy that rolled up duplicate posts on the client, but it’s really not that annoying for me to see a couple dupes in my feed if they’re posted in relevant communities /shrug

Fair points!

Hey, this is excellent. I was looking to do something like this a few months ago. Bought a few ESP devices to mess with, but never got around to it. I might try it out now, though, using your guide. Thank you!

You’ve misunderstood me. None of those things are what that commenter is referring to. It’s not about improving another energy storage technology by using superconductors, it’s about having a room temperature, ambient pressure version of an existing technology that we already use superconductors for.

I think what they’re referring to is the idea that superconductors can trap current effectively indefinitely; more like replacing a battery with a capacitor than enhancing existing battery chemistry.

This is a really terrific explanation. The author puts some very technical concepts into accessible terms, but not so far from reality as to cloud the original concepts. Most other attempts I’ve seen at explaining LLMs or any other NN-based pop tech are either waaaay oversimplified, heavily abstracted, or are meant for a technical audience and are dry and opaque. I’m saving this for sure. Great read.

Fair enough!

I’m not saying this to be an asshole, because I’m happy that you got to the right conclusion eventually, but I have to clarify for history’s sake: if you thought Trump was playing 4D chess in 2015-2016 then you were being duped. Most of us understood what he was from the get-go. Claims of 4D chess have always been stupid.

Again, I’m happy that you figured it out. Everyone makes mistakes. But “we” didn’t think he was playing 4D chess. The hypothesis about Musk/Twitter above is hardly the same.

Down by the bay
Where the watermelons grow
Back to my home
I dare not go
For if I do
My mother will say
“Have you ever seen a deer crushing a beer?”
Down by the bay

I honestly only made it a few minutes in, and there is probably plenty of merit to the rest of her perspective. But… I just couldn’t get past the “AI doesn’t exist” part. I get that you don’t know or care about the difference and you associate the term “AI” with sci-fi-like artificial sentience/AGI, but “AI” has been used for decades to refer to things that mimic intelligence, not just full-on artificial general intelligence. Algorithms governing NPC behavior and pathfinding in video games is AI, and that’s a perfectly accurate description. SmarterChild was AI… even ELIZA was AI. Stuff like GAN models and LLMs are certainly AI. The goal posts for “intelligence” have moved farther and farther back with every innovation. The AI we have now was fantasy just 20 years ago. Even just five years ago, to most people.

That’s not really how LLMs work. You’re basically describing Markov chains. The statement “It’s just a statistical prediction model with billions of parameters” also applies to the human brain. An LLM is much more of a black box than you’re implying.

This really is true. Experiencing it now, myself.

Oh, interesting! Thanks for pointing that out. Side note: entries… I hope kbin adopts better language for what to call Reddit-like posts (articles), Twitter-like microblog posts (posts), and comments (entries?). I never would have guessed entries == comments. Maybe this is ActivityPub-specific naming? It reminds me of a past job where we surfaced internal technical names as the names of products and features… it just confused customers.

Not a kbin thing… might be an extension though. I’m on kbin and no automatic mention was added to the top of this comment when I replied to you.