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Joined 3 years ago
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Cake day: June 11th, 2023

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  • You’re gonna hate this, but… AI can literally do it, and for the large models it’s terrifying how accurate they are. You will argue that your little ESP32 powered reprap or klipper or whatever printer can’t handle it, to which regulators will go ok then, either the printer has to call out to a service with an http request to upload the gcode every time it wants to print anything, or your slicer has to do it (and we dont care that it’s open source, it’s illegal to operate if it doesnt make the call and you’re getting fines or jail time if you get caught).

    This is what AI was built for 😟

    EDIT:

    In case it isn’t abundantly clear, I am not in favor of what I just described. I know that it is possible though and know how to architect exactly these mechanisms. If I can build them, so can they. (I won’t, of course, that goes against everything I stand for).




  • Is it?

    As a malicious actor or red-team player, I would want to get you on as old of an OS as I could in order to exploit a wider range of CVEs. Or in most cases, one would be hunting for a specific set of CVEs. Once I’ve got you on the version I want, I can then perform other attacks and ensure that they run.

    The iPhone, many Android phones, some network equipment, and game consoles all have eFuses that burn when you perform an update, and the specific number or pattern they burn in is used to determine the lowest OS version your device is allowed to be on in order to stop this from happening.



  • Do you think it runs at 1000w continuously? On any decent GPU, the responses are nearly instantaneous to maybe a few seconds of runtime at maybe max GPU consumption.

    Compare that to playing a few hours of cyberpunk 2077 with raytracing and maxed out settings at 4k.

    Don’t get me wrong, there’s a lot to hate about AI/LLMs, but running one locally without data harvesting engines is pretty minimal. The creation of the larger models is where the consumption primarily comes in, and then the data centers that run them are servicing millions of inquiries a minute making the concentration of consumption at a single point significantly higher (plus they retrain the model there on current and user-fed data, including prompts, whereas your computer hosting ollama would not.)