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  • 2 Posts
  • 128 Comments
Joined 2 years ago
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Cake day: June 15th, 2023

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  • Are there really any 32-bit era games that your CPU can’t handle, especially if you have a $1k+ gpu? This post is honestly pretty misleading as it implies modern versions of PhysX don’t work, when they actually do.

    That being said, it doesn’t make all that much sense as a decision, doubles are rare in most GPU code anyways (as they are very slow), NVIDIA is just being lazy and doesn’t want to write the drivers for that

    Well, at least you aren’t on mac where 32 bit things just don’t launch at all… (I think they might be playable through wine, but even in the x86 era MacOS didn’t natively run any 32 bit games or software, so games like Portal 2 or TF2 for example just didn’t work even though they had a MacOS version)



  • Reminds me of the “U.S. Post: you have a USPS parcel being cleared, due to the detection of an invalid zip code address, the parcel can not be cleared, the parcel is temporarily detained, please confirm the zip code address information in the link within 24 hours” message I got with the totally not suspicious domain “usps.com-service.webnw.top/us” and the unnecessarily confusing instructions “Please reply with a Y, then exit the text message and open it again to activate the link, or copy the link into your Safari browser and open it”








  • AdrianTheFrog@lemmy.worldtoMemes@lemmy.mlThe glass is NOT half full
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    2 months ago

    I’m not autistic, just ADHD but I do honestly feel like double checking that figure here

    edit: i’d estimate 62.1% full

    and assuming that glass is perfectly radially symmetric (idk if that is the correct term or not) you would not ever need to do that much math

    if you had the actual glass you could probably do a much more accurate measurement just with a graduated cylinder



  • The most recent failure was when everyone was making fun of google search ai for a month because it was quoting blatantly wrong reddit users (who were often joking about something, and it took them seriously)

    Generally I think what companies do nowadays for normal models (not the searching a knowledge base thing that Google was doing) is they train a model on basically everything and then bring it into a tuning stage with just approved texts to improve it, and then a human feedback tuning stage to improve it more