Fucking yes it would be better to put hundreds of billions of dollars every year into curing cancer/HIV/ Type 1 diabetes/alzheimers, literally any disease. Curing a major illness like those would actively help hundreds of thousands or millions of people around the world every year.
What does AI help? My fucking manager in sending cryptic emails that raise more questions than answers?
Dump a few hundred billion into disease research, or fusion power, or just into housing for all of us.
AI helped me with my voting ballot. I asked Kagi’s AI to research the ambiguous candidates and propositions. I had it put them into a political alignment chart - left/centrist/rightwing. Addendums for candidates included things like whether they had criminal convictions or corruption, stance on vaccinations, how they feel about “tough on crime”, the homeless, ect.
For propositions, the political alignments had a fourth entry added, where the yes/no included the wealth level of backers for a position.
This is very useful, completing in a hour what would have taken a week of research. Very useful for digging into the mechanical details of a proposition, like whether it prevented the replacement or supplementing of a measure.
How do you know that anything it displayed was accurate for those candidates? Every single time I’ve asked it to include source links, those source links don’t actually support the AI’s statement.
That’s a lot of words just to say you’re an idiot that would rather offload important critical thinking skills to a piece of software that a rational person wouldn’t trust to provide a cookie recipe.
If an LLM was something you could train on your GitHub repo or an internal knowledge base, and ask it natural language questions about that, AND it didn’t need an 800 acre datacenter to do it, I wouldn’t have so many hang-ups about it. Or maybe even train a model in a programming language and have a model that’s tailor made for writing C, or LISP, or Brainfuck or something.
But that’s not what they are. They only function if you hoover up everything the light touches and feed it to the machine, to the point where rare, irreplaceable literature is being shredded apart for training data. And god help you if you try to take your ball and go play somewhere else as the AI boosters profess you must do, they will follow you there and scrape you anyway
An entire industry built around burning cash, water, and electricity to generate questionable answers based on glorified autocorrect. It’s astounding.
Throw another few trillion and a couple dozen rain forests at it. Completely rational behavior.
glorified autocorrect and plagiarism/nonatribition.
yep. roided up eliza’s
bUt It CoUlD cUrE cAnCeR
Not with an LLM you won’t.
alphafold actually COULD have and still got dissolved https://www.aimodeling.com/en/news/slug/deepmind-dissolves-alphafold-team-anthropic-pivot
obligatory…
https://m.youtube.com/watch?v=9JwpQHbMS9c
You act as though those billions of dollars spent towards other things (like cancer research) would somehow be better.
?
Fucking yes it would be better to put hundreds of billions of dollars every year into curing cancer/HIV/ Type 1 diabetes/alzheimers, literally any disease. Curing a major illness like those would actively help hundreds of thousands or millions of people around the world every year.
What does AI help? My fucking manager in sending cryptic emails that raise more questions than answers?
Dump a few hundred billion into disease research, or fusion power, or just into housing for all of us.
AI helped me with my voting ballot. I asked Kagi’s AI to research the ambiguous candidates and propositions. I had it put them into a political alignment chart - left/centrist/rightwing. Addendums for candidates included things like whether they had criminal convictions or corruption, stance on vaccinations, how they feel about “tough on crime”, the homeless, ect.
For propositions, the political alignments had a fourth entry added, where the yes/no included the wealth level of backers for a position.
This is very useful, completing in a hour what would have taken a week of research. Very useful for digging into the mechanical details of a proposition, like whether it prevented the replacement or supplementing of a measure.
How do you know that anything it displayed was accurate for those candidates? Every single time I’ve asked it to include source links, those source links don’t actually support the AI’s statement.
My experience too. The source never backs up what the AI claims. It always just makes shit up.
That’s a lot of words just to say you’re an idiot that would rather offload important critical thinking skills to a piece of software that a rational person wouldn’t trust to provide a cookie recipe.
…yes?
Remember to never miss the /s
Marking your sarcasm is the coward’s way out
With a .ml account you need to. I’ve heard way more absurd statements said with a straight face from .ml users
It’s cowardly to be understood?
Okay, boss. 👍
But have you considered that it’s like REALLY good at programming? /s
What’s stupid is, you could even just keep just the programming part, and it would become much more efficient and not ramble on with explanations etc.
If an LLM was something you could train on your GitHub repo or an internal knowledge base, and ask it natural language questions about that, AND it didn’t need an 800 acre datacenter to do it, I wouldn’t have so many hang-ups about it. Or maybe even train a model in a programming language and have a model that’s tailor made for writing C, or LISP, or Brainfuck or something.
But that’s not what they are. They only function if you hoover up everything the light touches and feed it to the machine, to the point where rare, irreplaceable literature is being shredded apart for training data. And god help you if you try to take your ball and go play somewhere else as the AI boosters profess you must do, they will follow you there and scrape you anyway
You are describing local models and they’re getting pretty damn good, especially at coding.
I mean, local models with RAG exist.