104
you are viewing a single comment's thread
view the rest of the comments
view the rest of the comments
this post was submitted on 15 Oct 2025
104 points (100.0% liked)
Microblog Memes
10008 readers
301 users here now
A place to share screenshots of Microblog posts, whether from Mastodon, tumblr, ~~Twitter~~ X, KBin, Threads or elsewhere.
Created as an evolution of White People Twitter and other tweet-capture subreddits.
Rules:
- Please put at least one word relevant to the post in the post title.
- Be nice.
- No advertising, brand promotion or guerilla marketing.
- Posters are encouraged to link to the toot or tweet etc in the description of posts.
Related communities:
founded 2 years ago
MODERATORS
There's not a single world where LLMs cure cancer, even if we decided to give the entirety of our energy output and water to a massive server using every GPU ever made to crunch away for months.
which fucking sucks, because AI was actually getting good, it could detect tumours, it could figure things fast, it could recognise images as a tool for the visually impaired...
But LLMs are non of those things. all they can do is look like text.
LLMs are an impressive technology, but so far, nearly useless and mostly a nuance.
Multimodal LLMs are definitely a thing, though.
Not strictly LLMs, but neural nets are really good at protein folding, something that very much directly helps understanding cancer amount other things. I know an answer doesn't magically pop out, but it's important to recognise the use cases where NN actually work well.
I'm trying to guess what industries might do well if the AI bubble does burst. I imagine there will be huge AI datacenters filled with so-called "GPUs" that can no longer even do graphics. They don't even do floating point calculations anymore, and I've heard their integer matrix calculations are lossy. So, basically useless for almost everything other than AI.
One of the few industries that I think might benefit is pharmaceuticals. I think maybe these GPUs can still do protein folding. If so, the pharma industry might suddenly have access to AI resources at pennies on the dollar.
integer calculations are lossy because they're integers. There is nothing extra there. Those GPUs have plenty of uses.
I don't know too much about it, but from the people that do, these things are ultra specialized and essentially worthless for anything other than AI type work:
https://weird.autos/@rootwyrm/115361368946190474
AI isn't even the first or the twentieth use case for those operations.
All the "FP" quotes are about floating point precision, which matters more for training and finely detailed models, especially FP64. Integer based matrix math comes up plenty often in optimized cases, which are becoming more and more the norm, especially with China's research on shrinking models while retaining accuracy metrics.
But giving all the resources to LLMs slows/prevents those useful applications of AI.
And it's clear we're nowhere near achieving true AI, because those chasing it have made no moves to define the rights of an artificial intelligence.
Which means that either they know they'll never achieve one by following the current path, or that they're evil sociopaths who are comfortable enslaving a sentient being for profit.
i mean, look what is happening in the united states. that would be completely unsurprising to happen here.
It's DEFINITELY both.
There are tons of AIs besides the chat bots. There are definitely cancer hunter seekers.
Good thing I said "LLM" not "AI".