• 13 Posts
  • 370 Comments
Joined 3 年前
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Cake day: 2023年6月23日

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  • I taste no appreciable difference between the brands,

    Either you don’t have any taste buds, or you don’t order pizza that often. A statement like this is like saying “I taste no appreciable difference between Coke and Pepsi”.

    • Papa Johns’ has an almost-sugary pizza sauce that I don’t like that much. I also prefer pan pizza, but their default is that floppy NY pizza style. I consider them one of my least favorite option. Fucking Yum can’t manage any of their brands.
    • Domino’s used to suck about 15-20 years ago, but they have improved in every way now. Typically my go-to delivery, for a major chain brand.
    • Pizza Hut is still pretty good for pan pizza, but some think is greaser than others. They tend to use a lot of cheese, which is fine by me.
    • Little Caesars, absolute fucking garbage. I’d rather heat up a cheap pizza at home.
    • Cicis, barely above Little Caesars, about the same quality as Chuck E. Cheese or Mr. Gattis
    • Jet’s Pizza, really really good pan pizza, a bit more expensive, but better than old standards like Domino’s or Pizza Hut.
    • Mellow Mushroom, Old Chicago, Blaze Pizza, all S-tier pizza restaurants, though they don’t deliver. Making your own pizza with Blaze just makes it the top pick out of all of these.






  • P03 Locke@lemmy.dbzer0.comtoLinux@lemmy.mlWhy Linux?
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    21 天前

    Imagine two glasses, both 8 oz. One is titled usability and the other titled security.

    And one is the dumpster fire that is Windows 11.

    I feel like these security arguments are overblown. Linux is still pretty damn secure, and the Linux community is still tough on fixing security bugs.

    Would you rather be using a UNIX-based secure OS, or Windows update-and-crash 11?



  • P03 Locke@lemmy.dbzer0.comtoTechnology@beehaw.orgAI Is Slowing Down
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    25 天前

    Depends on what you mean by “fanboys”. No, the hype isn’t as real as these rich assholes make it out to be. LLMs aren’t going to replace all human workforce everywhere ever, like some of these techbro dipshits quickly find out.

    But, I’m still going to use technology that produce a tool in two minutes what would have normally taken me two hours to do. Sure, I have to code review it, but that doesn’t take nearly as long as the work itself.


  • P03 Locke@lemmy.dbzer0.comtoTechnology@beehaw.orgAI Is Slowing Down
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    25 天前

    Slop that produces inaccurate results and then tells you it did no such thing.

    I use Claude at work and local LLMs at home, and they all produce good code. The Kagi agents work pretty well at searching for information that would have taken me 30-60 minutes to find. Although, I generally favor thinking models because they are good at edge cases.

    You have to know how to provide good context for the situation, like examples, prior art, documentation, etc. Many people have a hard time even expressing an idea to a group of humans. Imagine your (pointy-haired) boss shows your department a picture in the next meeting:

    B: “Go make this thing!”

    D: “What thing?”

    B: “Here. This thing. Make something just like it for our company!”

    D: “Well, we can’t just copy it outright. What color should it be? What do we want to improve on? How do we tie it to our existing software?”

    B: “I don’t know. That’s your job to figure out, right?”

    That’s how most people treat LLMs. Garbage in, garbage out.




  • Yes, the sociopath, narcissist and billionaires have taken over. There is no more democracy. There is no more rule of law.

    And what do you do to those sociopaths, narcissists, and billionaires? Talk to them to death? Your words have no meaning to them. You can’t expect empathy from sociopaths. That’s literally in the definition of the word.

    There is probably no way, at this point, to end the corruption peacefully. Possibly no way at all.

    No, there isn’t. We were past that about 10-20 years ago.



  • How have you been able to manage the issue of unreliability with the volumes of data you’re dealing with? Is the kind of data which you’re dealing with less likely to be unreliable since it is of a kind the LLM is more likely to process correctly?

    The same way for any other information resource like Wikipedia or some random Reddit post: trust but verify. Always review the code, point out mistakes, call out potential edge cases. Especially with newer thinking models, the hallucinations are minimal. It’s mostly just miscommunication in the request, which you can detect in the Thinking stream, stop, and re-correct. Rubberducking makes you better at communicating ideas in general, and providing enough context for the request is everything.

    A lot of it has to do with the type of model you’re using, too, and having a decent global rules file tailored to how you want it to respond. If you don’t like how the model is responding, try out another one. If it’s some repeat mistake it makes, put it in a global rules file, or ask it to make a permanent memory.

    Claude Opus does well at work, but is rather expensive for home use. I use Kimi reasoning models in Kagi for searching questions, and Qwen/GLM hybrid models for local use. It takes a bit of setup and tweaking to get the local stuff working, but LLMs are good at knowing how their own models work, so I just had Kimi help me out with some of the harder troubleshooting.