AI is a misnomer anyhow. It’s been pretty definitively proven that these machines aren’t using intelligence of any kind, just really efficient search algorithms that are designed to smash things together in a way that looks like something resembling human speech and human made art. But that is the absolute limit of their ability and their potential.
It’s been pretty definitively proven that these machines aren’t using intelligence.
You would have to be able to concretely define what "intelligence " is first before you can do that.
just really efficient search algorithms that are designed to smash things together in a way that looks like something resembling human speech and human made art.
That’s an OK analogy for basic LLMs but that’s not at all how stable diffusion works.
But that is the absolute limit of their ability and their potential.
Not at all. AI models are constantly developing. Compared to even a year ago they’re so much more advanced and there’s no reason to believe we’ve hit any sort of peak. And from what I can from my freinds that are still in Acedemia and places like deep mind, there are some truly groundbreaking changes coming pretty soon.
BTW, don’t get me wrong. These things have their uses. It’s just that their misrepresentation as “AI” is causing people to put them in a category they do not fit in. True AI or AGI will not be achieved through these methods. But these GANs have uses and if marketed the way they should be, they could lead to some terrific innovation.
But the way they’re being marketed right now is just a lot of hype whose only goal is to squeeze money out of investors and those gullible enough to believe that this is more than it is. And in the meantime they’re going to do a fuck ton of damage by stealing the artwork of people who actually have artistic talent thereby taking money out of those creative people’s pockets and the LLMs that are being wantonly plugged into search engines are outputting misinformation all over the place while enforcing a lazy attitude toward research and information gathering.
You would have to be able to concretely define what "intelligence " is first before you can do that.
The Turing test is not a valid determiner because the thought process behind it is 80 years out of date. Intelligence has to be capable of actually processing data on its own without external sources to draw from. Otherwise it’s just copying and pasting in approximation of language and art. See article below:
As the article states, these things should be called GANs but that doesn’t sound as sexy as AI.
This goes for Stable Diffusion as well as every other generative art program in existence.
Not at all. AI models are constantly developing. Compared to even a year ago they’re so much more advanced and there’s no reason to believe we’ve hit any sort of peak. And from what I can from my freinds that are still in Acedemia and places like deep mind, there are some truly groundbreaking changes coming pretty soon.
It’s all hype in order to get investment dollars. These will never become AGI or anything close. They don’t “think”, they simply search their databases based on inputs and then output the closest approximation of what the user is asking for. It’s why AI art always looks wonky and LLMs output made up garbage.
Why do people act like generative AI has no uses? AlphaFold2 was a generational leap in protein folding. Alphatensor was used to find previously unknown sparse matrix multiplication algorithms. These are all examples of generative ai being useful on a societal scale.
Don’t get confused here. That kind of “AI” has nothing to do with the AI we’re talking about here. We had NPCs decades ago in games when AI wasn’t even a thing yet.
Absolutely not. Not even remotely close. NPC scripting follows a pattern, and no matter how advanced and complex you made these algorithms, that’s all they are - algorithms.
AI is actually “learning”, as in it needs material to get good at something.
Those are two completely different things. The only thing they have in common is that they are both ran on a computer.
Generative AI or AI in general?
Because AI has tons of uses that are actually very beneficial.
AI is a misnomer anyhow. It’s been pretty definitively proven that these machines aren’t using intelligence of any kind, just really efficient search algorithms that are designed to smash things together in a way that looks like something resembling human speech and human made art. But that is the absolute limit of their ability and their potential.
You would have to be able to concretely define what "intelligence " is first before you can do that.
That’s an OK analogy for basic LLMs but that’s not at all how stable diffusion works.
Not at all. AI models are constantly developing. Compared to even a year ago they’re so much more advanced and there’s no reason to believe we’ve hit any sort of peak. And from what I can from my freinds that are still in Acedemia and places like deep mind, there are some truly groundbreaking changes coming pretty soon.
BTW, don’t get me wrong. These things have their uses. It’s just that their misrepresentation as “AI” is causing people to put them in a category they do not fit in. True AI or AGI will not be achieved through these methods. But these GANs have uses and if marketed the way they should be, they could lead to some terrific innovation.
But the way they’re being marketed right now is just a lot of hype whose only goal is to squeeze money out of investors and those gullible enough to believe that this is more than it is. And in the meantime they’re going to do a fuck ton of damage by stealing the artwork of people who actually have artistic talent thereby taking money out of those creative people’s pockets and the LLMs that are being wantonly plugged into search engines are outputting misinformation all over the place while enforcing a lazy attitude toward research and information gathering.
The Turing test is not a valid determiner because the thought process behind it is 80 years out of date. Intelligence has to be capable of actually processing data on its own without external sources to draw from. Otherwise it’s just copying and pasting in approximation of language and art. See article below:
https://www.techradar.com/news/calm-down-folks-chatgpt-isnt-actually-an-artificial-intelligence
As the article states, these things should be called GANs but that doesn’t sound as sexy as AI.
This goes for Stable Diffusion as well as every other generative art program in existence.
https://youtu.be/-wzOetb-D3w
It’s all hype in order to get investment dollars. These will never become AGI or anything close. They don’t “think”, they simply search their databases based on inputs and then output the closest approximation of what the user is asking for. It’s why AI art always looks wonky and LLMs output made up garbage.
Why do people act like generative AI has no uses? AlphaFold2 was a generational leap in protein folding. Alphatensor was used to find previously unknown sparse matrix multiplication algorithms. These are all examples of generative ai being useful on a societal scale.
True, I just didn’t want to get crucified on here.
oh lol just saw the community name
A very small example: First Person Shooters and other action games would be very boring without enemy AI.
Don’t get confused here. That kind of “AI” has nothing to do with the AI we’re talking about here. We had NPCs decades ago in games when AI wasn’t even a thing yet.
That’s what the person I was replying to was asking. NPC scripting is still a form of AI and can get pretty advanced (Alien: Isolation).
When you’re talking about Generative AI it’s important to specify, because there are legitimate forms of AI that aren’t intended to steal jobs.
Absolutely not. Not even remotely close. NPC scripting follows a pattern, and no matter how advanced and complex you made these algorithms, that’s all they are - algorithms.
AI is actually “learning”, as in it needs material to get good at something.
Those are two completely different things. The only thing they have in common is that they are both ran on a computer.
You should be able to understand from the context of this post.