• 14 Posts
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Joined 3 years ago
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Cake day: July 1st, 2023

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  • It’s not just license plate readers anymore. They have cameras that perform facial recognition and other identifying recognition.

    Your car is in many ways uniquely identifiable by its markings and its model that vehicle with many pictures of it and that license plate are already in a database. If you have stickers, if you have big dents or additions and changes from the base model of your vehicle than you are quite identifiable within a particular geographical area depending on the urban density.







  • We have ours configured pretty well at this point and it does an absolute bang-up job at code review. It will point developers towards tools and utilities that our monorepo has If they appear to be reinventing the wheel. It will catch common problems and issues that we have in our instruction file, and does a pretty good job of catching bugs and small issues like typos and what not.

    Perhaps you need to tighten up your instruction file?






  • They don’t have short memory, they have NO MEMORY AT ALL.

    These are statistical word generation machines, that’s what LLMs are right now. They are REALLY good at this.

    But they do not have memory, they do not learn, they do not make decisions. Which means they are incapable of cooperation as such a thing cannot exist without memory or the ability to learn, and decisions cannot be made without either of those.


    These tools provide the illusion of such attributes.

    • There is no memory, the whole context is sent on every request, the LLM does not have knowledge of prior conversations. It only knows what it is provided in that request only.
      • Lots of tricks and hacks to make this illusion really good in incredibly small scales. But it’s still an illusion. Outside of fine-tuning and retraining new LLMs, which is not feasible to do on a frequency of communication.
    • There is no learning.
      • Without memory learning is impossible. Learning requires retraining a model, and to a degree fine tuning. Both of these are resource intensive and are static. And only provide the illusion of learning as it cannot happen in real time.



  • douglasg14b@lemmy.worldBanned from communityto Memes of Production@quokk.auteddy
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    12 days ago

    They are sowing divisiveness through ragebait using sexism as the weapon. That’s toxic, and has been a common troll pattern for all of internet subculture history.

    This isn’t new stuff. Same old trolls trolling using the same formula.


    Sowing divisiveness using hand waving generalizations meant to isolate large groups against each other is one of the easiest harm causing patterns to keep an eye out for

    It’s sad to see folks falling for it, and it’s our responsibility as a community of people to combat it and teach community building literacy in these communities.

    Do you want a community that is always at each other’s throats because of a few divisive trolls stirring the pot to get people to go at it using modern gender politics as their weapon? I sure don’t.