while(true){💩};

  • 1 Post
  • 566 Comments
Joined 3 years ago
cake
Cake day: June 11th, 2023

help-circle




  • Semperverus@lemmy.worldtomemes@lemmy.worldGas prices
    link
    fedilink
    English
    arrow-up
    2
    ·
    edit-2
    10 days ago

    Ok, that makes cents.

    There are no units on that website and I’ve only seen gas stations list prices in the dollars-and-cents format ($5.99 instead of 599¢).

    Looking at it a bit closer, you’re paying $1.79AUD/litre.

    To compare to the U.S. (where the OP’s signpost is clipped from in the meme), $1.00AUD trades for $0.72USD as of this writing, so $1.79AUD would be $1.29USD. Then, to get from litres to gallons, we see that there are ~3.79 litres in a gallon. Multiply $1.29 by 3.79 and you get 4.8891, or $4.89USD per gallon, which is about on track with what we are paying here in some states, maybe a little less. I am open to correction on this math.



  • 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.)