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.
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.
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.
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.
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.
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.
But giving all the resources to LLMs slows/prevents those useful applications of AI.
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.
yhea, but it’s better to use the right tool for the job than throwing a suitcase full of tools at a problem
There are tons of AIs besides the chat bots. There are definitely cancer hunter seekers.
Good thing I said “LLM” not “AI”.
They sure do cure horny though.
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.
It’s DEFINITELY both.
i mean, look what is happening in the united states. that would be completely unsurprising to happen here.