LLMs are shit, fuck LLMs. They fuel billionaires, destroy the environment, kill critical thinking, confidently tell you to off yourself, praise Hitler, advocate for glue as a pizza topping. This tech is a war on artists and free thought and needs to be destroyed. Stop normalizing, stop using it.
And AI is a pipe dream no one is close to fulfilling, won’t be realized by feeding LLMs all of the data in existence, and billionaires are destroying our economy in their pursuit of it.
OK, and my point is that people are using the term “AI” so loosely as to be indistinguishable from “algorithm”.
We’ll still have the statistical protein folding models after this bubble eventually pops, we’re just not gonna call it “AI”. It’s a trendy marketing department word, and its usefulness as a description in Computer Science is rapidly diminishing.
AI to a layman just means “LLMs and Generative AI that rich assholes keep trying to force me to use or consume the output of”. i dont think its worthwhile to split semantic hairs over this. call the “good” stuff CNNs or machine learning if you really feel the need to draw a distinction.
LLMs are shit, fuck LLMs. They fuel billionaires, destroy the environment, kill critical thinking, confidently tell you to off yourself, praise Hitler, advocate for glue as a pizza topping. This tech is a war on artists and free thought and needs to be destroyed. Stop normalizing, stop using it.
And AI is a pipe dream no one is close to fulfilling, won’t be realized by feeding LLMs all of the data in existence, and billionaires are destroying our economy in their pursuit of it.
You are referring to AGI not AI.
The broad category of AI is most definitely real.
Could you define that category? Or give us an example of a programme that fits under it and one that doesn’t?
AI contains LLMs and Machine learning and AGI.
My main point is that you shouldn’t throw out computerised protein folding and cancer detection with your hatred of LLMs.
OK, and my point is that people are using the term “AI” so loosely as to be indistinguishable from “algorithm”.
We’ll still have the statistical protein folding models after this bubble eventually pops, we’re just not gonna call it “AI”. It’s a trendy marketing department word, and its usefulness as a description in Computer Science is rapidly diminishing.
AI to a layman just means “LLMs and Generative AI that rich assholes keep trying to force me to use or consume the output of”. i dont think its worthwhile to split semantic hairs over this. call the “good” stuff CNNs or machine learning if you really feel the need to draw a distinction.
To a layman, yes I agree.
Not many laymen on lemmy. We can afford to be precise with our language.