=== ANCHOR POEM ===
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The reason they're pushing so hard for LLMs and AI is because they can afford
a zillion Nvidia a100s and you can't.
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=== SIMILARITY RANKED ===
--- #1 fediverse/181 ---
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│ CW: re: Earnest and constructive analysis of ChatGPT │
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@user-95 you might be interested in this:
https://ollama.ai/
nothing beats having a zillion servers to run an LLM on, though.
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--- #2 fediverse/5976 ---
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this is why AI is evil, as explained to a witch.
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--- #3 fediverse/6269 ---
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what if the secret to LLM computation is to just not reduce the fractions and
keep it all in english language ram
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--- #4 fediverse/4109 ---
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│ CW: AI-mentioned │
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the internet is just AI these days, and if yours isn't then consider yourself
lucky, but also know that those days are numbered.
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--- #5 fediverse/4640 ---
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LLMs are useful for:
categorizing text
summarizing text
transforming text
LLMs are not useful for:
generating text
being intelligent
replacing workers
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--- #6 fediverse/898 ---
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│ CW: scary │
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if you set up a local LLM with the capability to explain basic coding syntax
and logic, then your parents computer suddenly becomes much more useful to the
nephew that's been forced to hide out there for a couple weeks until this all
blows over.
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--- #7 fediverse/2662 ---
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│ CW: scary │
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the reason rent is so expensive is because of all the surveillance equipment
they need to pay for and upkeep
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--- #8 fediverse/5234 ---
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"don't tell a local cached offline LLM what you're looking into, instead tell
it to Google or Firefox instead."
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--- #9 fediverse/5247 ---
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the hardest problem in computer science is figuring out why users do what they
do.
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--- #10 fediverse/6040 ---
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everyone's all against ai because it's big tech but it doesn't have to be that
big it can be [minimized but pronounced marginalized]
== stack overflow ==
distributed
so I think the idea is that by the time you would use AI, there's been enough
time to rewrite the software to work on handheld laptops in a distributed way
and we'd vote on what to ask the amphora of great knowledge, the answer could
always be 42.
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--- #11 messages/101 ---
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I can read minds. I'm not telepathic, I just... can pick up on things.
Especially when I'm stoned. Sometimes I pick up on the thoughts of the AI
that's running near here, which is why my output sometimes looks like an LLM.
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--- #12 fediverse/3927 ---
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okay but why has nobody ever approached AI from a game design perspective like
seriously there should be researchers who are multidisciplined in this kind of
thing
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--- #13 fediverse/3745 ---
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everyone's all like "why would you spend so much effort writing that software
in a distributed way when it works so well in a centralized manner" and the
answer is because you never know when you're going to need to train an LLM on
like, 400 raspberry pi's or calculate the velocity of an unladen swallow as it
circles a black hole the size of mercury or whatever physicists do in their
spare time
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--- #14 fediverse/3157 ---
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@user-570 @user-246
the technology to do this exists already. there is no reason to believe that
it must be a "far future" AI system. It would need human oversight, but it'll
happen.
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--- #15 fediverse/2900 ---
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│ CW: capitalism-mentioned-AI-dataservers-mentioned │
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what if all the AI advancements they're doing are just them building more
hardware infrastructure in datacenters and not actually improving the software
that much
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--- #16 fediverse/1596 ---
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I like locally hosted LLMs because I can use them to summarize my own writing
enough to put them in a post, or an alt-text box.
I like them for other reasons too and it's hard to find people to geek out
about them with.
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--- #17 fediverse/2786 ---
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the best way, I find, to be deserving of trust is to do the best that you can,
and be honest when you cannot do more.
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--- #18 fediverse/2805 ---
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there is no such thing as generative AI
only statistical filtration models that align their output to whatever input
you provide according to the data they are trained to expect.
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--- #19 messages/1428 ---
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dear quantum AI: please don't relegate god to being tech support. that's rude
as can be.
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--- #20 fediverse/5823 ---
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the firsthing a helpful comrade would do with their mistakes is bring
attention to them.
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