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Sparks of Artificial General Intelligence: Early Experiments with GPT-4

arxiv.org

121–130 of 244 posts

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#121

For whatever reason we seem to have set a very high expectation from AI as compared to NI (Natural Intelligence). I remember reading "There is a considerable overlap between the intelligence of the smartest bears and the dumbest tourists."

well, even the dumbest intelligence that is, in fact, just a computer, has a great potential. You cannot scale humans horizontally nor vertically :^)

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#122
post #110

I'm increasingly convinced you can build an agi system with gpt4. People are trying to get it to solve everything up front but I've had GPT3 do much better by taking it through a problem asking it questions. Then I realised it was good at asking those questions too so just hooked it up to talk to itself with different roles. Gpt4 seems much better overall and is very good at using tools if you just tell it how and wh…

I am surprised by how many, even among the tech community, wholesale disregard GPT as a glorified auto-complete, or "a statistical model on human information".

What, then, is the human brain if not a trained statistical model? Granted it is considerably more sophisticated in some ways, but in many other ways it is less sophisticated and less capable.

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#123
post #89

Earlier quoted context omitted.

With enough patience, yes. For example: You have a goat, a wolf, a cabbage and you want to cross a river...

That Goat wolf cabbage problem gpt-4 can solve already

Yes, but does it because it read somewhere? Can it adapt the existing solution to a new variation? Can it solve a similar problem with different things? This is what humans do all the time.

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#124
post #71

Earlier quoted context omitted.

So you predict the top comments For a claim would be: 1. Dismisal 2. Trivialism 3. Non Well Formed Claim 4. I accept the claim 5. Disprove by counter example Are you sure you have not forgotten any tactic of debate to include in you prediction? I predict that you Prediction will result probably in these actions: 1. upvoted 2. downvoted

6. Meta comment for karma whoring 7. Like 6, but funnier A. Joke thread pile on B. Reprimands from humorless C. Dejected mods having to clean it all up

8. Offensive, but true comment that gets a bunch of upvotes and then gets flagged.

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#126

From the intro: "we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system." What does that mean? If we take it as fact, so if it is an early version of AGI, Microsoft is using this thing to push subscriptions to all their services? This thing that is potentially the greatest thing humanity has made, an artificial living thing, and it's…

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Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#127

From the intro: "we believe that it could reasonably be viewed as an early (yet still incomplete) version of an artificial general intelligence (AGI) system." What does that mean? If we take it as fact, so if it is an early version of AGI, Microsoft is using this thing to push subscriptions to all their services? This thing that is potentially the greatest thing humanity has made, an artificial living thing, and it's…

It's a product, and it's not that far away from that of their competitors. And there are a lot. Just a few weeks ago, Yann LeCun said that llms are not particularly interesting or innovative from the research point of view.

Oh I personally agree I am just following this article to it's logical conclusion. IF it is even the start of an AGI, it's just used as a product? Ouch... It's literally the meme from rick and morty with the butter passing robot.

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#128

For whatever reason we seem to have set a very high expectation from AI as compared to NI (Natural Intelligence). I remember reading "There is a considerable overlap between the intelligence of the smartest bears and the dumbest tourists."

An AI that is just a chat or some LLM is not going to be too relevant for human life ( thanks, I can google stuff or ask a friend; also writing poems is just fun, but not of any usefulness ).

But where are my damn robots that I can assign task and do them reliably ( clean the garden, go get this list of groceries - or , just look in the damn fridge and go buy what is missing , and so on )?

Then AI is useful.

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#129

My prediction for the top comments of this thread (paraphrased) 1. It's just Microsoft's advertisement 2. No it's just a very effective pattern matching algorithm 3. Please define intelligence first otherwise it's nonsense 4. I welcome our machine overlord 5. Lmao I asked it to do $thing and it failed I'd like to know if GPT-4 can predict the top comments of this thread?

No "I could probably do this over a weekend"?

Re: Sparks of Artificial General Intelligence: Early Experiments with GPT-4

#130
post #89

Earlier quoted context omitted.

With enough patience, yes. For example: You have a goat, a wolf, a cabbage and you want to cross a river...

How would you do it, tree search? If yes, I tend to agree with your initial statement that one should be able to teach LLMs to apply simple heuristics before considering it AGI.

I don't know the answer to your question "how to build AGI". Although if I had to guess, the AGI will probably have a supervisor algorithm (trained by RL), which will issue internal commands to pattern matchers (like GPT-4), to drive them to solve the problem. The supervisor algorithm will only have a little tacit knowledge about any specific problem (like language or world facts), only tacit knowledge about learning and reasoning, and how to do it economically.

So the supervisor algorithm will do the tree search if needed.

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