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How close is AI to human-level intelligence?

nature.com

21–30 of 96 posts

Re: How close is AI to human-level intelligence?

#21
General intelligence is an ability to cope, adapt and thrive in an ecology: to start from a limited set of capabilities, and via exploration, acquire a rich competence. To develop conceptualisations, techniques of coordination and control, to form novel goals and strategies to realise them, and so on.

General intelligence is a strategy to defer the acquisition of abilities from the process of construction/blueprinting (ie., genes, evolution..) to the living environment of the animal. The most generally intelligent animals are those that have nearly all of their sensory motor skills acquired during their life -- we learn to walk and so can learn to play the piano, and to build a rocket.

There is a serious discontinuity in strategy to achive this defferal: the kinds of processes which "blueprint" the intelligence of a bacterium are discontinuous with the processes which a living animal needs to dynamically conceptualise its environment under shifts to its structure.

Of the latter animals need: living adaption of their sensory-motor systems, heirachical coordination of their bodies, robust causal modelling, and so on.

General intelligence is primitively a kind of movement, which becomes abstract only with a few hundred thousand years of culture. The earliest humans, able to lingusitically express almost nothing, were nevertheless generally intelligent.

Present computer-science-led investigations into "intelligence" assume you can operate syntactically across the most peripheral consequences of general intelligence given by linguistic representations. This is profoundly misguided: each todller necessarily must learn to walk. You cannot just project a slideshow of walking, and get anywhere. And if you remove this capability and install a "walking module", you've remved the very capabilities which allow that child then to do anything new at all.

There is nothing in the linguistic syntactical shadow of human intelligence to be found in creating generally capable systems. It's just overfitting to our 2024 reflections.

Re: How close is AI to human-level intelligence?

#22
post #16

I can't believe this article is being published in Nature. The article is flawed, plagued with assumptions that I guess the author doesn't even notice (like what do we really mean by AGI, the epistemological problems/assumptions to intelligence, the real nature of thinking, the real functioning of the human brain). It is really curious that the philosophical community is addressing the debate on what AI really is and…

This is not a scientific paper that was published in nature by researchers, it is a news editorial written by an editor/journalist. Don't get fooled by the domain.

Re: How close is AI to human-level intelligence?

#24
post #4
post #3

Is the question even that relevant? I would say the best models already have better than human culture. Maybe not skills, but culture for sure.

Wikipedia has better culture. Shadow libraries and private trackers have more culture than you may need in a lifetime.

I don't understand how culture is being used here. What does "more culture" mean? A culture is a process and a system of relations I can understand how wikipedia has a culture but not how a shadow library has "more culture than you need". Are we talking about the products of cultural production? To suggest that LLMs are anywhere near human level is laughable.

Re: How close is AI to human-level intelligence?

#25
post #14

Earlier quoted context omitted.

I've been annoyed by the redefinition of artificial intelligence since the LLM boom started. The term AI has no place being used to describe LLMs as far as I can tell, unless what goes on inside the black box of an LLM is drastically different than how they are described to function. Predicting the next token based on a compressed dataset of human generated content isn't intelligence in any meaningful definition of t…

What redefinition? SVMs were part of AI and they're far simpler. The field of AI has covered basic algorithms for decades before LLMs.

Do you consider a basic algorithm to be artificial intelligence?

You are right though, you van go back further than LLMs and find misuses of the term "artificial intelligence." That doesn't contradict my main point though, that the word has been so redefined as to be pretty meaningless to the understanding of what intelligence is.

If we want to consider even basic algorithms to be intelligence, are we boiling down the entire concept of intelligence to mathematical equations?

Re: How close is AI to human-level intelligence?

#27
post #16

I can't believe this article is being published in Nature. The article is flawed, plagued with assumptions that I guess the author doesn't even notice (like what do we really mean by AGI, the epistemological problems/assumptions to intelligence, the real nature of thinking, the real functioning of the human brain). It is really curious that the philosophical community is addressing the debate on what AI really is and…

You are probably thinking of Nature Communications. This article was posted on their more pop-science publishing site.

You aren't the first one mislead by the Nature brand btw - if you look into past submissions you will find similar comments: https://news.ycombinator.com/from?site=nature.com

Re: How close is AI to human-level intelligence?

#29
I continue to be dismayed by AI's quixotic focus on "human" intelligence. AI is very far from pigeon-level intelligence or dog-level intelligence. I strongly suspect transformers are dumber than spiders.[1] This focus on human intelligence via formal human knowledge is putting the cart before the horse. If your "human-level" AI architecture cannot conceivably be modified for chimp intelligence, and requires bootstrapping with a bunch of pre-processed human knowledge, then it is not actually emulating human intelligence. LLMs are fancy encyclopedias, not primitive brains.

[1] Suppose you have an accurate web-spinning simulator and you train a transformer ANN on 40 million years of natural spiderweb construction: between trees, rocks, etc. This AI is excellent at spinning natural webs. Would the transformer be able to spin a functional web in your pantry or basement. If not, then the AI isn't as smart as a spider. I don't think this thought experiment is actually possible: any computer simulation would excessively simplify the physical complexity. But based on transformers' pattern of failures in other domains, I don't think they are good enough to pull it off.

Re: How close is AI to human-level intelligence?

#30

General intelligence is an ability to cope, adapt and thrive in an ecology: to start from a limited set of capabilities, and via exploration, acquire a rich competence. To develop conceptualisations, techniques of coordination and control, to form novel goals and strategies to realise them, and so on. General intelligence is a strategy to defer the acquisition of abilities from the process of construction/blueprintin…

Human nature is to have a moral compass (conscience), with a mind to contemplate whether our planned behavior is positive or negative for the happiness of those around us, and a free will to then choose which paths to take.

What you describe is all present in the animals, to more or less advanced degree, where chimps and crows can use tools and even pass that knowledge on to others. Yes, our bodies follow the mammalian template, and with it comes our baseline tendencies to form packs to fight against other packs and fight for dominance within the pack, all in order to enjoy more physical pleasure. We inherit that, but we are capable of rising above those animalistic urges to become a humanitarian, who considers the happiness of others, and even the whole, in their decisions.

Further, with our advanced being and our free will, we are able to self-evolve our ideals, attitudes, and behaviors, in EITHER moral direction: either towards a more selfish, brutal, and callous competitive state, or towards a more selfless, compasionate, and caring cooperative state. The former leads to where we are now in human history, the latter, rarely exercised, leads to our highest potential, returning us to a happy, prosperous, environmental-concerned human race with various cultural differences but united in the success of each and every person, should they choose to participate.

So, no, no computer logic engine at present can in any way mimic the totality of "human intelligence" because very few people understand human nature, so they can only literally "ape" it. They can't even approach simulating what is going on within us, the only moral beings on this planet, and the only beings here with the power to consciously change ourselves and our environment, for better or worse, it all being our choice, however subconscious and inertial for the vast majority.

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