Mama told me not to come.

She said, that ain’t the way to have fun.

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Joined 2 years ago
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Cake day: June 11th, 2023

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  • welcome to the internet

    Yeah, this is the sucky part about the modern internet. It used to be that the internet was a place for discussion and we’ve twisted it to a place to enforce conformity.

    I don’t know anything about this guy, so maybe there’s a more established pattern here, but ideally we don’t jump down someone’s throat when they do one or two unpopular things, but instead wait for a pattern to emerge before getting out the pitchforks. But everyone needs to be first, because the first one gets the eyeballs and there’s not much downside to ruining someone’s reputation unnecessarily.

    It’s stupid and I hate it.





  • than reading an actual intro on an unfamiliar topic

    The LLM helps me know what to look for in order to find that unfamiliar topic.

    For example, I was tasked to support a file format that’s common in a very niche field and never used elsewhere, and unfortunately shares an extension with a very common file format, so searching for useful data was nearly impossible. So I asked the LLM for details about the format and applications of it, provided what I knew, and it spat out a bunch of keywords that I then used to look up more accurate information about that file format. I only trusted the LLM output to the extent of finding related, industry-specific terms to search up better information.

    Likewise, when looking for libraries for a coding project, none really stood out, so I asked the LLM to compare the popular libraries for solving a given problem. The LLM spat out a bunch of details that were easy to verify (and some were inaccurate), which helped me narrow what I looked for in that library, and the end result was that my search was done in like 30 min (about 5 min dealing w/ LLM, and 25 min checking the projects and reading a couple blog posts comparing some of the libraries the LLM referred to).

    I think this use case is a fantastic use of LLMs, since they’re really good at generating text related to a query.

    It’s going to say something plausible, and you tautologically are not in a position to verify it.

    I absolutely am though. If I am merely having trouble recalling a specific fact, asking the LLM to generate it is pretty reasonable. There are a ton of cases where I’ll know the right answer when I see it, like it’s on the tip of my tongue but I’m having trouble materializing it. The LLM might spit out two wrong answers along w/ the right one, but it’s easy to recognize which is the right one.

    I’m not going to ask it facts that I know I don’t know (e.g. some historical figure’s birth or death date), that’s just asking for trouble. But I’ll ask it facts that I know that I know, I’m just having trouble recalling.

    The right use of LLMs, IMO, is to generate text related to a topic to help facilitate research. It’s not great at doing the research though, but it is good at helping to formulate better search terms or generate some text to start from for whatever task.

    general search on the web?

    I agree, it’s not great for general search. It’s great for turning a nebulous question into better search terms.




  • hardware improvements of the Switch 2 could affect development costs

    I’ve never understood this. Yeah, better hardware means you can spend more time making a more complex product, but that doesn’t mean you have to. You can make an OG Switch capable game for the Switch 2 and charge less for it than larger games. If the game is fun, it’ll sell well.

    Look at Pico Park, I can count the polygons on one hand and it’s one of my kids’ favorite games. I wouldn’t be surprised if you could port it to a gameboy without losing anything important. I want more games like that, because they get great battery life and are tons of fun at parties. Half the games I play on the Steam Deck also run just fine on my 8yo laptop w/ integrated graphics.

    You don’t need to spend years building a game that struggles to hit 30 FPS, spend under a year and make a fun game with no framerate concerns. Spend 1/4 the time and charge half the price and I’ll probably get it.


  • Nah. People don’t watch sports for top tier play, they watch for top tier human play

    Look at chess, the top chess bots can beat the top human players every time, and a good outcome for a human is a draw. Yet human chess tournaments are still very popular and AI chess matches are “alien” and only used as a spectacle.

    For things like sports, AI will never take our place, their primary function is to be useful for people and save money. That’s bad in the short term for jobs, but I think longer term it’ll result in more leisure time.


  • Google search was pretty bad at each of those, even when it was good. Finding new keywords to use is especially difficult the more niche your area of search is, and I’ve spent hours trying different combinations until I found a handful of specific keywords that worked.

    Likewise, search is bad for getting a broad summary, unless someone has bothered to write it on a blog. But most information goes way too deep and you still need multiple sources to get there.

    Fact lookup is one the better uses for search, but again, I usually need to remember which source had what I wanted, whereas the LLM can usually pull it out for me.

    I use traditional search most of the time (usually DuckDuckGo), and LLMs if I think it’ll be more effective. We have some local models at work that I use, and they’re pretty helpful most of the time.