Technically if we were to develop a real general artificial general intelligence, it would be limited to the amount of knowledge that it has, but so is any given human. And it’s advantage would still be scale of operations compared to a human, since it can realistically operate on all known theoretical and practical information, where as for a human that’s simply not possible.
Though presumably, it would also be influenced by AI posting that we already have now, to some degree, the question is how it responds to that, and how well it can determine the difference between that and real human posting.
the reason why hallucinations are such a big problem currently is simply due to the fact that it’s literally a predictive text model, it doesn’t know anything. That simply wouldn’t be true for a general artificial intelligence. Not that it couldn’t hallucinate, but it wouldn’t hallucinate to the same degree, and possibly with greater motives in mind.
A lot of the reason human biology tends to obfuscate certain things is simply due to the way it’s evolved, as well as it’s potential advantages in our life. The reason we can’t see our blindspots is due to the fact that it would be much more difficult to process things otherwise. It’s the same reason our eyesight is flipped as well. It’s the same reason pain is interpreted the way that it is.
a big mistake you are making here is stating that it must be fed information that it knows to be true, this is not inherently true. You can train a model on all of the wrong things to do, as long it has the capability to understand this, it shouldn’t be a problem.
For predictive models? This is probably the case, but you can also poison the well so to speak, when it comes to those even.
Yes, a theoretical future AI that would be able to self-correct would eventually become more powerful than humans, especially if you could give it ways to run magnitudes more self-correcting mechanisms at the same time. But it would still be making ever so small assumptions when there is a gap in the information it has.
It could be humble enough to admit it doesn’t know, but it can still be mistaken and think it has the right answer when it doesn’t. It would feel neigh omniscient, but it would never truly be.
A roundtrip around the globe on glass fibre takes hundreds of milliseconds, so even if it has the truth on some matter, there’s no guarantee that didn’t change in the milliseconds it needed to become aware that the truth has changed. True omniscience simply cannot exists since information (and in turn the truth encoded by that information) also propagates at the speed of light.
a big mistake you are making here is stating that it must be fed information that it knows to be true, this is not inherently true. You can train a model on all of the wrong things to do, as long it has the capability to understand this, it shouldn’t be a problem.
The dataset that encodes all wrong things would be infinite in size, and constantly change. It can theoretically exist, but realistically it will never happen. And if it would be incomplete it has to make assumptions at some point based on the incomplete data it has, which would open it up to being wrong, which we would call a hallucination.
It could be humble enough to admit it doesn’t know, but it can still be mistaken and think it has the right answer when it doesn’t. It would feel neigh omniscient, but it would never truly be.
yeah and so are humans, so i mean, shit happens. Even then it’d likely be more accurate than a human just based off of the very fact that it knows more subjects than any given human. And all humans alive, because it’s knowledge is based off of the written works of the entirety of humanity, theoretically.
A roundtrip around the globe on glass fibre takes hundreds of milliseconds, so even if it has the truth on some matter, there’s no guarantee that didn’t change in the milliseconds it needed to become aware that the truth has changed. True omniscience simply cannot exists since information (and in turn the truth encoded by that information) also propagates at the speed of light.
well yeah, if we’re defining the ultimate truth as something that propagates through the universe at the highest known speed possible. That would be how that works, since it’s likely a device of it’s own accord, and or responsive to humans, it likely wouldn’t matter, as it would just wait a few seconds anyway.
The dataset that encodes all wrong things would be infinite in size, and constantly change. It can theoretically exist, but realistically it will never happen. And if it would be incomplete it has to make assumptions at some point based on the incomplete data it has, which would open it up to being wrong, which we would call a hallucination.
at that scale yes, but at this scale, with our current LLM technology, which was what i was talking about specifically, it wouldn’t matter. But even at that scale i don’t think it would classify as a hallucination, because a hallucination is a very specific type of being wrong. It’s literally pulling something out a thin air, and a theoretical general intelligence AI wouldn’t be pulling shit out of thin air, at best it would elaborate on what it knows already, which might be everything, or nothing, depending on the topic. But it shouldn’t just make something up out of thin air. It could very well be wrong about something, but that’s not likely to be a hallucination.
ok so to give you an um ackshually here.
Technically if we were to develop a real general artificial general intelligence, it would be limited to the amount of knowledge that it has, but so is any given human. And it’s advantage would still be scale of operations compared to a human, since it can realistically operate on all known theoretical and practical information, where as for a human that’s simply not possible.
Though presumably, it would also be influenced by AI posting that we already have now, to some degree, the question is how it responds to that, and how well it can determine the difference between that and real human posting.
the reason why hallucinations are such a big problem currently is simply due to the fact that it’s literally a predictive text model, it doesn’t know anything. That simply wouldn’t be true for a general artificial intelligence. Not that it couldn’t hallucinate, but it wouldn’t hallucinate to the same degree, and possibly with greater motives in mind.
A lot of the reason human biology tends to obfuscate certain things is simply due to the way it’s evolved, as well as it’s potential advantages in our life. The reason we can’t see our blindspots is due to the fact that it would be much more difficult to process things otherwise. It’s the same reason our eyesight is flipped as well. It’s the same reason pain is interpreted the way that it is.
a big mistake you are making here is stating that it must be fed information that it knows to be true, this is not inherently true. You can train a model on all of the wrong things to do, as long it has the capability to understand this, it shouldn’t be a problem.
For predictive models? This is probably the case, but you can also poison the well so to speak, when it comes to those even.
Yes, a theoretical future AI that would be able to self-correct would eventually become more powerful than humans, especially if you could give it ways to run magnitudes more self-correcting mechanisms at the same time. But it would still be making ever so small assumptions when there is a gap in the information it has.
It could be humble enough to admit it doesn’t know, but it can still be mistaken and think it has the right answer when it doesn’t. It would feel neigh omniscient, but it would never truly be.
A roundtrip around the globe on glass fibre takes hundreds of milliseconds, so even if it has the truth on some matter, there’s no guarantee that didn’t change in the milliseconds it needed to become aware that the truth has changed. True omniscience simply cannot exists since information (and in turn the truth encoded by that information) also propagates at the speed of light.
The dataset that encodes all wrong things would be infinite in size, and constantly change. It can theoretically exist, but realistically it will never happen. And if it would be incomplete it has to make assumptions at some point based on the incomplete data it has, which would open it up to being wrong, which we would call a hallucination.
yeah and so are humans, so i mean, shit happens. Even then it’d likely be more accurate than a human just based off of the very fact that it knows more subjects than any given human. And all humans alive, because it’s knowledge is based off of the written works of the entirety of humanity, theoretically.
well yeah, if we’re defining the ultimate truth as something that propagates through the universe at the highest known speed possible. That would be how that works, since it’s likely a device of it’s own accord, and or responsive to humans, it likely wouldn’t matter, as it would just wait a few seconds anyway.
at that scale yes, but at this scale, with our current LLM technology, which was what i was talking about specifically, it wouldn’t matter. But even at that scale i don’t think it would classify as a hallucination, because a hallucination is a very specific type of being wrong. It’s literally pulling something out a thin air, and a theoretical general intelligence AI wouldn’t be pulling shit out of thin air, at best it would elaborate on what it knows already, which might be everything, or nothing, depending on the topic. But it shouldn’t just make something up out of thin air. It could very well be wrong about something, but that’s not likely to be a hallucination.