Deviation Game: Draw in a way that humans can guess, but AI can't
deviationgame.com
deviationgame.com
Uh...
https://devpost.com/software/pictonet-ai-pictionary
I still don't think it's anything like AGI, but my snappy comeback is nowhere near sufficient any more.
For example person who just said "spot" 10x when asked what to do at a green light usually says, "Stop!" Likewise a person who has just spelled "silk", "S-I-L-K", when asked what cows drink usually says, "milk".
The behavior of LLMs like ChatGPT are very similar to what is observed from the https://en.wikipedia.org/wiki/Left-brain_interpreter in humans. Complete with immediate facile explanations that hallucinate facts not in evidence. We do better than ChatGPT on this in large part because other parts of our brain supply immediate fact checks for a lot of the obvious mistakes. Similarly ChatGPT when combined with tools and patterns of when to check them also improves dramatically in the quality of its output.
Therefore I agree that ChatGPT is NOT AGI. But we may be far closer than you think to having a bunch of components which, when wired together right, DO act like something that reasonably should be called AGI. Whether it is becomes a definitions game. And I foresee a period of apparent infinite regress of changing definitions for people to justify that we don't have AGI, until we're faced in finite time with what has become clearly a superhuman intelligence.
Neuroscientists who have attempted to compare what people think about how we think and how we ACTUALLY think have concluded that self-reports are entertaining to listen to, but not very informative. That is, we have more of an illusion of introspection than a reality.
The level at which we ARE self-aware of our own thinking does not seem to me to be more impressive than the ability of something like ChatGPT to generate training data that can in turn be used to help create much smaller models with similar capabilities, or future models with better ones. In other words LLMs are capable of some form of learning through introspection, and we do not appear to be close to the limits of how much self-improvement they are capable of.
But https://simonwillison.net/2023/Mar/17/beat-chatgpt-in-a-brow... suggests that for less than the average developer's salary we could develop something equivalent to ChatGPT in a browser. And better systems are coming soon.
This isn't 100% true.... I think people are using something called the Reflexon model where you ask GPT for an answer, then feed that answer back to GPT and ask what is wrong with it allowing self examination and a significant improvement of its previous answer.
Now, GPT has no method of long term learning by reincorporating these answers back into its system to improve its future behavior, which is a huge limitation.
But overall, I find there's a bit of a boundary problem when considering current ML models. Is GPT considered self-reflective if we embed it in a system that mimics such an ability?
Feedback loops are critical to intelligent thought. We know this, and it should come as no surprise that we'll need to explicitly add them to AI systems.
We obviously have a huge evolutionary pressure for having a semi-accurate internal model of ourselves that we can use to project out into the future and avoid possible harm - I guess there is no similar pressure / incentive for LLMs.
Like, the only condition you are looking for is being subjectively impressed, which just means you are using a bad metric for threshold finding right?
I'm assuming that we're talking about a Pictionary in which you could draw any concept in the world. It would be vastly easier if you restricted it to just the actual Pictionary cards, but that's not the spirit of what I meant, and I don't think it's what my link above is doing.
I believed that something that open-ended would not be feasible any time soon without effectively solving general intelligence. I think I'm wrong about that -- though I suppose it's still possible that it's just a matter of scaling what they've already got.
Lots of good stuff.