I understand your perspective, and I don’t necessarily disagree or think that there’s anything innately spiritual or unique about biological intelligence. I do also agree that you could hypothetically scan every aspect of a brain or build a system that exactly mimics the behavior of neurons and probably pretty accurately recreate human intelligence.
I really think our only disconnect is that I don’t think the current LLM model is anything close to complex or developed enough to be considered that.
That’s a perfectly reasonable position, the question of how complex a human brain is compared with the largest NNs is hard to answer but I think we can agree it’s a big gap. I happen to think we’ll get to AGI before we get to human brain complexity, parameter wise, but we’ll probably also need at least a couple architectural paradigms on top of transformers to compose one. Regardless, we don’t need to achieve AGI or even approach it for these things to become a lot more dangerous, and we have seen nothing but accelerating capability gains for more than a decade. I’m very strongly of the opinion that this trend will continue for at least another decade, there’s are just so many promising but unexplored avenues for progress. The lowest of the low hanging fruit has been, while lacking in nutrients, so delicious that we haven’t bothered to do much climbing.
Would love to see more development in this field, but it’s clear that you don’t need to have complex or biologically accurate systems to manipulate other humans. This fact alone means that machine learning models will never be advanced beyond that basic goal under capitalism.
They’ve been used for economic modeling and stock forecasting for decades now, since the 80s, and the modern implementations of these systems is nothing more than the application of those failed financial modeling systems on human social interactions. Something that wasn’t possible before because until the widespread adoption of the internet, there just wasn’t enough digital communication data to feed into them.
Since these systems are not capable of self development that isn’t a negative feedback loop, they literally can’t improve without more and more data from different human activity being fed to them.
That alone shows that they aren’t a new form of intelligence, but instead a titular interface for the same type of information you used to be able to get with “dumb” indexing engines.
There’s a reason that search engine companies are the primary adopters of this technology, and it’s because they already have been using it for 20+ years in some form, and they have access finally to enough indexed information to make them appear intelligent.
I understand your perspective, and I don’t necessarily disagree or think that there’s anything innately spiritual or unique about biological intelligence. I do also agree that you could hypothetically scan every aspect of a brain or build a system that exactly mimics the behavior of neurons and probably pretty accurately recreate human intelligence.
I really think our only disconnect is that I don’t think the current LLM model is anything close to complex or developed enough to be considered that.
That’s a perfectly reasonable position, the question of how complex a human brain is compared with the largest NNs is hard to answer but I think we can agree it’s a big gap. I happen to think we’ll get to AGI before we get to human brain complexity, parameter wise, but we’ll probably also need at least a couple architectural paradigms on top of transformers to compose one. Regardless, we don’t need to achieve AGI or even approach it for these things to become a lot more dangerous, and we have seen nothing but accelerating capability gains for more than a decade. I’m very strongly of the opinion that this trend will continue for at least another decade, there’s are just so many promising but unexplored avenues for progress. The lowest of the low hanging fruit has been, while lacking in nutrients, so delicious that we haven’t bothered to do much climbing.
Would love to see more development in this field, but it’s clear that you don’t need to have complex or biologically accurate systems to manipulate other humans. This fact alone means that machine learning models will never be advanced beyond that basic goal under capitalism.
They’ve been used for economic modeling and stock forecasting for decades now, since the 80s, and the modern implementations of these systems is nothing more than the application of those failed financial modeling systems on human social interactions. Something that wasn’t possible before because until the widespread adoption of the internet, there just wasn’t enough digital communication data to feed into them.
Since these systems are not capable of self development that isn’t a negative feedback loop, they literally can’t improve without more and more data from different human activity being fed to them.
That alone shows that they aren’t a new form of intelligence, but instead a titular interface for the same type of information you used to be able to get with “dumb” indexing engines.
There’s a reason that search engine companies are the primary adopters of this technology, and it’s because they already have been using it for 20+ years in some form, and they have access finally to enough indexed information to make them appear intelligent.