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Joined 3 years ago
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Cake day: August 22nd, 2023

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  • We could start a buy/sell/swap space using existing Lemmy technology, if we left the messy details for users to figure out for themselves.

    Messy details add up quick, though. Payments, currencies, mailing addresses, reputation, conflict resolution, returns, scammers and spam.

    But “Craigs List” solved very little of that on day one, and went on to be pretty successful.

    So it’s possible. happening now, I’ve just learned. Neat!. https://lemmy.sdf.org/c/buyselltrade

    (Edit: Added link to the surreal thing. Thanks!) (Edit 2: I swallowed the onion whole. Mostly jokes, there, I think. I’m gonna leave the link anyway.)






  • I’m not the OP, but I’m trying to figure out if local models are always painfully slow or if I’m missing something obvious in my tuning.

    Stable Diffusion can whip up a picture in less time on the same hardware, than lama.cpp takes to decide to call an MCP function.

    It seems like I must be missing something in my lama.cpp setup, but none of the guides I’ve read have clued me in to what I’ve done wrong.

    Ollama performs similarly poorly on the same harsware, so I’ve probably managed to make the se mistake(s) at least twice.

    Anyway, that’s the main thing I’m reading along for. Trying to increase my understanding until I catch my own mistakes.




  • I’m so tired of “Ai big number” headlines. 100+ packages - but how many good ones? (Genuinely, I don’t know, as I don’t the recognize those listed.)

    We need projects that diligently keep the slop out. We don’t need every protect to do so, but it is critical that some do.

    We have Meta and Microsoft to provide quick-to-market low quality shit.

    The version of Linux that matters is the slow thoughtful good software.

    I’m not mad at slop slingers, aa long as they don’t secretly inject slop risk where not welcome.

    Edit: Thanks for responses.

    For anyone who has read this far, I encourage seeing responses below for informative and nuanced thoughts on this.






    • Agentic AI: A list of traditional IF THEN statements that do things based on the output of the magical LLM and then create a new prompt that they feed back into the LLM in a never ending loop, with the aim of consuming as many tokens as possible.

    It’s so much worse than that. We use the pleasant answer predictor to predict what function calls and arguments passed to those functions might be the most pleasing.

    It can provide all of the capabilities of piping curl into sudo with none of the warm fuzzy feeling of knowing I’ve turned over control of my computer’s fate to a stranger on the Internet.

    Instead, I’ve turned my computer’s fate over to a statistical approximation of the slurry from mixing together the outputs of every stranger from the Internet.