Generative AI in its current, public-facing form? Probably not. It’s sort of like an invention of the internet situation. It CAN be used to facilitate learning, share information, and improve lives. Will it be used for that? No.
A friend of mine is training local LLMs to work in tandem for early detection of diseases. I saw a pitch recently about using AI to insulate moderators from the bulk of disturbing imagery (a job that essentially requires people to frequently look at death, CSAM, and violence and SIGNIFICANTLY ruins their mental health). There are plenty of GOOD ways to use it, but it’s a flawed tech that requires people to responsibly build it and responsibly use it, and it’s not being used that way.
Instead it’s being scaled up and pushed into every possible application both to justify the expenses and enrich terrible people, because we as a society incentivize that.
Edit: hugely belated, I misspoke here after checking with my friend. He’s using local models, but they aren’t LLMs. This is why I’m no expert. 😅
Really it’s just capitalism that incentivises that. The fact that stepping on your fellow man and destroying nature makes you more money is not a coincidence.
You got an economic system in your back pocket that doesn’t allow money to funnel upwards? Bring it out! It’s not capitalism you’re complaining about, it’s plutocracy we’re living under.
Adam Smith would be horrified at our monopolies. 1980s conservatives would be horrified! Yeah, the economy has always served the wealthy, but it wasn’t anything like today.
Another one that makes sense is having an AI monitor system stats and “learn” patterns in them, then alert a human when it “thinks” there’s an anomaly.
It’s data collection like you mentioned in your original post, and it uses the same sort of approach to ingesting that data as an LLM does for text.
As for a valid use of LLMs: Natural language searching (with cited sources) is a use case that it’s already doing. This is especially useful in highly technical fields where the end users have the expertise to vet responses but there’s way too much data for a human to parse.
Generative AI in its current, public-facing form? Probably not. It’s sort of like an invention of the internet situation. It CAN be used to facilitate learning, share information, and improve lives. Will it be used for that? No.
A friend of mine is training local LLMs to work in tandem for early detection of diseases. I saw a pitch recently about using AI to insulate moderators from the bulk of disturbing imagery (a job that essentially requires people to frequently look at death, CSAM, and violence and SIGNIFICANTLY ruins their mental health). There are plenty of GOOD ways to use it, but it’s a flawed tech that requires people to responsibly build it and responsibly use it, and it’s not being used that way.
Instead it’s being scaled up and pushed into every possible application both to justify the expenses and enrich terrible people, because we as a society incentivize that.
Edit: hugely belated, I misspoke here after checking with my friend. He’s using local models, but they aren’t LLMs. This is why I’m no expert. 😅
Really it’s just capitalism that incentivises that. The fact that stepping on your fellow man and destroying nature makes you more money is not a coincidence.
You got an economic system in your back pocket that doesn’t allow money to funnel upwards? Bring it out! It’s not capitalism you’re complaining about, it’s plutocracy we’re living under.
Adam Smith would be horrified at our monopolies. 1980s conservatives would be horrified! Yeah, the economy has always served the wealthy, but it wasn’t anything like today.
Another one that makes sense is having an AI monitor system stats and “learn” patterns in them, then alert a human when it “thinks” there’s an anomaly.
In the best cases, those would be ML but not specifically an LLM, no?
It’s data collection like you mentioned in your original post, and it uses the same sort of approach to ingesting that data as an LLM does for text.
As for a valid use of LLMs: Natural language searching (with cited sources) is a use case that it’s already doing. This is especially useful in highly technical fields where the end users have the expertise to vet responses but there’s way too much data for a human to parse.
But one big LLM trained on everything isn’t that.