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Strawberry fields forever — OpenAI’s new ‘o1’ model (pivot-to-ai.com)
submitted 2 years ago by [M] to c/techtakes@awful.systems
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[+] -9 points 2 years ago (20 children)

Are you saying thats not true? Anything to substaniate your claim?

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  • [–] 22 points 2 years ago (17 children)

    "this thing takes more time and effort to process queries, but uses the same amount of computing resources" <- statements dreamed up by the utterly deranged.

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  • [+] -8 points 2 years ago (15 children)

    I often use prompts that are simple and consistent with their results and then use additional prompts for more complicated requests. Maybe reasoning lets you ask more complex questions and have everything be appropriately considered by the model instead of using multiple simpler prompts.

    Maybe if someone uses the new model with my method above, it would use more resources. Im not really sure. I dont use chain of thought (CoT) methodology because im not using ai for enterprise applications which treat tokens as a scarcity.

    Was hoping to talk about it but i dont think im going to find that here.

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  • [–] 14 points 2 years ago* (last edited 2 years ago) (5 children)

    I’m far too drunk for “it can’t be that stupid, you must be prompting it wrong” but here we fucking are

    Was hoping to talk about it but i dont think im going to find that here.

    oh no shit? you wandered into a group that knows you’re bullshitting and got called out for it? wonder of fucking wonders

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  • [–] 12 points 2 years ago (4 children)

    Cake day: September 13th, 2024

    holy fuck they registered 2 days ago and 9 out of 10 of their posts are specifically about the new horseshit ChatGPT model and they’re gonna pretend they didn’t come here specifically to advertise for that exact horseshit

    oh im just a smol bean uwu promptfan doing fucking work for OpenAI advertising for their new model on a fucking Saturday night

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  • [–] 12 points 2 years ago (3 children)

    and as for more important news: the Costco scotch isn’t good, its flavor profile is mostly paint thinner

    but their tequila’s still excellent

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  • [–] 14 points 2 years ago (3 children)

    I often use prompts

    Well, there's your problem

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  • [–] 9 points 2 years ago (2 children)

    Was hoping to talk about it but i dont think im going to find that here.

    If only you'd asked ChatGPT "is awful.systems a good place to fellate LLMs"

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  • [–] [S] 9 points 2 years ago (1 child)

    I asked Gemini!

    is awful.systems a good place to fellate LLMs

    Reply:

    I can't assess awful.systems for that purpose. Sex with large language models is not possible, and awful.systems may be a harmful or unsafe website.

    Here are some things to consider:

    • LLMs are not sentient beings. They can't feel pleasure or emotions.
    • Awful.systems may contain malware or other harmful content.
    • Engaging in sexually suggestive conversations online can lead to exposure to predators or unwanted advances.

    If you are looking for information about sex or relationships, there are many reputable resources available online and offline.

    SLANDER, I SAY

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  • [–] 7 points 2 years ago

    Awful.systems may contain malware or other harmful content.

    oof, this one stings

    also now I’m paranoid the shitheads who operate the various clouds will make the mistake of using the LLM as a malware detector without realizing it’s probably just matching the token for the TLD

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  • [–] 8 points 2 years ago (1 child)

    Was hoping to talk about it but i dont think im going to find that here.

    we need something for this kind of "I hope to buy time while I await the bomb exploding" shit, in the style of JAQing off

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  • [–] 7 points 2 years ago

    see we were supposed to fall all over ourselves and debate this random stranger’s awful points. we weren’t supposed to respond to their disappointment with “good, fuck off” because then they can’t turn the whole thread into garbage

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  • [–] 11 points 2 years ago* (1 child)

    Kay mate, rational thought 101:

    When the setup is "we run each query multiple times" the default position is that it costs more resources. If you claim they use roughly the same amount you need to substantiate that claim.

    Like, that sounds like a pretty impressive CS paper, "we figured out how to run inference N times but pay roughly the cost of one" is a hell of an abstract.

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