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I don't think so either, but I think that LLM's are closer to AGI than what most people seem to think. I think if you let an LLM, even with the models we have

I don't think so either, but I think that LLM's are closer to AGI than what most people seem to think. I think if you let an LLM, even with the models we have today, run in a loop and you get something that comes very close to consciousness. Consciousness, mind you, similar to that of a deaf, blind and otherwise sensory deprived person, which in itself is a bit abstract already. Give it senses and ways to interact with the world, and I would argue that what you have is a type of AGI. By that I do not mean "equivalent to humans", which I don't think is a very good definition of intelligence, but a different branch of evolution. One which I can easily see surpassing human intelligence in a near future.

sethammons 2y ago
A feedback loop, sensors, and a goal; boom, AGI. So many people are stuck on AI hallucinations. How many times have you seen something that, for the briefest of instants, you thought was something else? "Orange circle on kitchen counter, brain says basketball, but, wait, more context, not a real circle, still orange, furry, oh, a cat; it is my orange cat" and all that takes place faster than you blink. You didn't hallucinate, your brain ran a feedback loop and based on past experiences it filled in details and as those details were validated they stayed (still looking at the kitchen counter, orange thing unexpected) and then some details deviated from brain expectations (the orange ball is not behaving like a ball) and so new context is immediately fed back in and understanding restored. For AGI you have to have a loop with feedback. An LLM is one leg of the stool, now add a way to realize when something it generates is failing to stand up to prior experience or existing need and be able to gather more context so it can test and validate its models. Really, that's how anything learns; how could it be anything else?
JSteph22 2y ago
>Give it senses and ways to interact with the world Much easier said than done. You can take just one example, energy storage and usage, to illustrate how far off we are from giving AI real-world physical capabilities. Human biological-based energy management capabilities are many orders of magnitude more advanced than current battery technology. For any AGI to have seriously scary consequences, it needs to have a physical real-world presence that is at least comparable to humans. We're very far from that. Decades at least, if not centuries. The more realistic near-term threat is a non physical presence AGI being used by bad actor humans for malevolent ends.
- kristiandupont 2y ago
  >For any AGI to have seriously scary consequences, it needs to have a physical real-world presence that is at least comparable to humans That doesn't seem true to me at all. In fact, I don't see why it needs to have any physical presence to be scary. You can wreak a lot of havoc with just an internet connection.

sethammons 2y ago

A feedback loop, sensors, and a goal; boom, AGI. So many people are stuck on AI hallucinations. How many times have you seen something that, for the briefest of instants, you thought was something else? "Orange circle on kitchen counter, brain says basketball, but, wait, more context, not a real circle, still orange, furry, oh, a cat; it is my orange cat" and all that takes place faster than you blink. You didn't hallucinate, your brain ran a feedback loop and based on past experiences it filled in details and as those details were validated they stayed (still looking at the kitchen counter, orange thing unexpected) and then some details deviated from brain expectations (the orange ball is not behaving like a ball) and so new context is immediately fed back in and understanding restored. For AGI you have to have a loop with feedback. An LLM is one leg of the stool, now add a way to realize when something it generates is failing to stand up to prior experience or existing need and be able to gather more context so it can test and validate its models. Really, that's how anything learns; how could it be anything else?

JSteph22 2y ago

>Give it senses and ways to interact with the world Much easier said than done. You can take just one example, energy storage and usage, to illustrate how far off we are from giving AI real-world physical capabilities. Human biological-based energy management capabilities are many orders of magnitude more advanced than current battery technology. For any AGI to have seriously scary consequences, it needs to have a physical real-world presence that is at least comparable to humans. We're very far from that. Decades at least, if not centuries. The more realistic near-term threat is a non physical presence AGI being used by bad actor humans for malevolent ends.

kristiandupont 2y ago
>For any AGI to have seriously scary consequences, it needs to have a physical real-world presence that is at least comparable to humans That doesn't seem true to me at all. In fact, I don't see why it needs to have any physical presence to be scary. You can wreak a lot of havoc with just an internet connection.