Well yea, but we can all help by not making blanket statements about actual AI when we’re actually only discussing generative AI, agentic AI ::rolleyes:: or other nonsense toys
Why the fuck would we want to help? Every AI product I’ve encountered has been dogshit. There is no “actual AI”. Just slop machines shitting slop into each other and poisoning any data they are able to alter.
Yeah, that’s because that’s all that you’ve seen. Not because that’s all that there is.
The tip of the iceberg for someone who doesn’t know what is beyond the surface.
LLM’s have everyone’s focus simply because they got so popular and are the only AI’s that regular consumers can use. There are a lot of advanced machine learning models helping out behind the scenes that all fall under the original umbrella term of AI. For example in science and in medicine (especially medical imaging).
Microsoft isn’t working on those things. Consumer facing shit is what people are talking about when we bitch about AI. We’re not going to add an annotation with the few exceptions every time we post about how terrible it is. Besides that there’s plenty of LLM shit being put into medicine and science where it doesn’t belong too. People are going to die because of this crap if they haven’t already. For the vast majority of people there is no distinction and that’s dangerous as fuck. Better to conflate it all as shit and let the useful products rebrand behind the scenes than to keep shoving LLMs into everything because they’re riding on the coattails of a handful of good applications.
Who said anything about Microsoft working on them? But yes, Microsoft is probably also working on those…
And that is exactly the point. Don’t blanket bitch about AI when you only mean a tiny subset of AI, that happens to have become a fad.
Ok let’s say
Cars <-> cybertruck
Same as:
AI <-> LLMs
If Tesla makes a shitty car, does that make all other cars from other manufacturers that have come before it and will come after it also shitty?
Why do you say: AI is shit when LLM’s and the like are shit, and not cars are shit when the Cybertruck is shit?
(Ok not a perfect example because Cybertrucks aren’t as popular, but you get the idea).
And there is not just a handful of good applications. They’re just not consumer models and are used in certain fields as I mentioned before. As a whole, the number of ML algorithms still vastly outnumber the LLM’s and the like. That may shift now everyone and their mother is making an “AI”. But for now, let’s stick to the facts.
This comment is also bullshit. ML products that sometimes are useful isn’t “AI”, they don’t have anything in common but some group of algorithms that we called “learning” back then when we thought it’s cute to do this skeuomorphic naming.
AI doesn’t exist because the term AI doesn’t mean anything anymore. It barely meant anything back then when computers were the size of a room, and it means less now.
So when you’re trying to smuggly “y’all rubes and peasants, you know nothing of actual magic, only I know actual magic”, you’re starting with the wrong premise, where AI is actually a thing, while it isn’t, no matter how much marketing is throwing around.
Mate. You can argue with me all you want but you can’t change the definition, no matter how much you like to be right. Please look up a definition before you start arguing it and calling other people’s comment bullshit.
Your second paragraph is exactly my point. It’s not helpful to call LLM’s and solely LLM’s AI. Because they are not what it encompasses. And every time you use the term the wrong way you help erode it.
I can also assure you that outside tech bros and fad followers the term AI is still very much alive. And it is used just the way it was before LLMs.
So you can at least try to use the correct terms in a technology community and not blanket hate on AI that is still very helpful and very different from LLM’s, but still, very definitely AI according to the definition.
Well yea, but we can all help by not making blanket statements about actual AI when we’re actually only discussing generative AI, agentic AI ::rolleyes:: or other nonsense toys
Why the fuck would we want to help? Every AI product I’ve encountered has been dogshit. There is no “actual AI”. Just slop machines shitting slop into each other and poisoning any data they are able to alter.
Yeah, that’s because that’s all that you’ve seen. Not because that’s all that there is. The tip of the iceberg for someone who doesn’t know what is beyond the surface.
LLM’s have everyone’s focus simply because they got so popular and are the only AI’s that regular consumers can use. There are a lot of advanced machine learning models helping out behind the scenes that all fall under the original umbrella term of AI. For example in science and in medicine (especially medical imaging).
Microsoft isn’t working on those things. Consumer facing shit is what people are talking about when we bitch about AI. We’re not going to add an annotation with the few exceptions every time we post about how terrible it is. Besides that there’s plenty of LLM shit being put into medicine and science where it doesn’t belong too. People are going to die because of this crap if they haven’t already. For the vast majority of people there is no distinction and that’s dangerous as fuck. Better to conflate it all as shit and let the useful products rebrand behind the scenes than to keep shoving LLMs into everything because they’re riding on the coattails of a handful of good applications.
Who said anything about Microsoft working on them? But yes, Microsoft is probably also working on those…
And that is exactly the point. Don’t blanket bitch about AI when you only mean a tiny subset of AI, that happens to have become a fad.
Ok let’s say
Cars <-> cybertruckSame as:
AI <-> LLMsIf Tesla makes a shitty car, does that make all other cars from other manufacturers that have come before it and will come after it also shitty? Why do you say: AI is shit when LLM’s and the like are shit, and not cars are shit when the Cybertruck is shit?
(Ok not a perfect example because Cybertrucks aren’t as popular, but you get the idea).
And there is not just a handful of good applications. They’re just not consumer models and are used in certain fields as I mentioned before. As a whole, the number of ML algorithms still vastly outnumber the LLM’s and the like. That may shift now everyone and their mother is making an “AI”. But for now, let’s stick to the facts.
This is the technology community after all…
Doesn’t exist, so there is the only one statement we can make about it, and it will have to be a blanket one.
This comment is for you as well.
This comment is also bullshit. ML products that sometimes are useful isn’t “AI”, they don’t have anything in common but some group of algorithms that we called “learning” back then when we thought it’s cute to do this skeuomorphic naming.
AI doesn’t exist because the term AI doesn’t mean anything anymore. It barely meant anything back then when computers were the size of a room, and it means less now.
So when you’re trying to smuggly “y’all rubes and peasants, you know nothing of actual magic, only I know actual magic”, you’re starting with the wrong premise, where AI is actually a thing, while it isn’t, no matter how much marketing is throwing around.
Mate. You can argue with me all you want but you can’t change the definition, no matter how much you like to be right. Please look up a definition before you start arguing it and calling other people’s comment bullshit.
Your second paragraph is exactly my point. It’s not helpful to call LLM’s and solely LLM’s AI. Because they are not what it encompasses. And every time you use the term the wrong way you help erode it.
I can also assure you that outside tech bros and fad followers the term AI is still very much alive. And it is used just the way it was before LLMs.
So you can at least try to use the correct terms in a technology community and not blanket hate on AI that is still very helpful and very different from LLM’s, but still, very definitely AI according to the definition.