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There are no new ideas in AI, only new datasets

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Re: There are no new ideas in AI, only new datasets

#301
post #298

Earlier quoted context omitted.

It certainly wasn't. The codebase is thousands of lines of bespoke code that I just wrote.

Which pretty much every line in it was written similarly somewhere else before, including an explanation and is somehow included in the massive data set it was trained on. So far i have asked the AI some novel questions and it came up with novel answers full of hallucinated nonsense, since it copied some similarly named setting or library function and replaced a part of it's name with something i was looking for.

And this training data somehow includes an explanation of how these individual lines (with variable names unique to my application) work together in my unique combination to produce a very specific result? I don't buy it.

And...

> pretty much

Is it "pretty much" or "all"? The claim that the LLM simply has simply memorized all of its responses seems to require "all."

Re: There are no new ideas in AI, only new datasets

#302

Earlier quoted context omitted.

The line is: building an internal world model requires interfacing with the world, not a model of it, and subsequent failing (including death and survivorship over generations) and adaptation. Plus pattern matching. Current AI only does one of those (pattern matching, not evolution), and the prospects of simulating evolution is kind of bleak, given I don’t think we can simulate a full living cell yet from scratch? Bu…

You don't need to simulate a full living cell to have evolution. In fact, isn't using evolving programs a decades-old technic ?

Genetic programming models a natural process of evolution to do something useful, the same way machine learning models neurons to do something useful.

But producing something useful is a totally different thing from producing resilience in physical reality. That takes a world model, and I guess my suspicion is that an entity can’t build a world model without a long history of surviving in that world.

Put another way, you can never replicate what it’s like to burn your hand on the fire using only words. You could have a million people tell a child about what fire is like, the dangers of it, the power of it, the pain of it. But they will never develop an innate understanding of it that helps them navigate the real world.

Until they stick their hand in the fire. Then they know.

Re: There are no new ideas in AI, only new datasets

#303

Earlier quoted context omitted.

Why is forgetting important? Things can either have an end time where they are no longer applicable or things we thought were true turn out to be false but it's still useful to see where we went wrong. I imagine humans are limited by the # of synapses we have so it's useful to forget but maybe machines can move the useless stuff to deep storage until it's dug out, in the same way certain things can trigger a deep mem…

Do you remove dead code? Get rid of clutter? Ever try to change a habit?

Yeah, I delete dead code but it's important to remember why I wrote it that way in the first place and why I'm deleting it now. Doomed to repeat past mistakes and all that.

Re: There are no new ideas in AI, only new datasets

#304

Earlier quoted context omitted.

Because it can actually extrapolate to unseen cases while maintaining realism.

Ah yes, the classic “because it can” argument. I’ll take that to mean you don’t know what you’re talking about.

It seems you are confusing this with a personal opinion. This is not my opinion. This is merely the consensus of current research.

See here for example:

[1] https://arxiv.org/pdf/2410.18072

[2] https://arxiv.org/pdf/2411.02914v1

[3] https://openai.com/index/video-generation-models-as-world-si...

But even if you knew nothing about this topic, the observation that you simply couldn't store the necessary amount of video data in a model such that it could simply regurgitate it should give you a big clue as to what is happening.

Re: There are no new ideas in AI, only new datasets

#305

Earlier quoted context omitted.

> Language can exist entirely independently from senses and cognition. Helen Keller begs to disagree. Language and cognition were clearly linked for her. > It wasn't until April 5, 1887, when Anne took Helen to an old pump house, that Helen finally understood that everything has a name. Sullivan put Helen’s hand under the stream and began spelling “w-a-t-e-r” into her palm, first slowly, then more quickly. > Keller l…

I said language can exist independently, not that all language exists independently. "one plus one equals two" can be understood and worked with without ever feeling water over your hand. It is a priori knowledge (see Hume's fork for an explanation). You have to understand that the richness of language linked to cognition is due to your experience with that part of language and resulting romantization of it. It doesn…

> "one plus one equals two" can be understood and worked with without ever feeling water over your hand. It is a priori knowledge

"Understood" and "worked with" are completely different.

The complete absence of embodiment is several degrees removed from "feeling water over your hand." LLMs have no sensory apparatus to relate the word "one" to actual, discrete, singular objects. The most rudimentary calculator can represent and compute "1+1=2", but I doubt any philosophical tradition or even an educated layperson would claim calculators "understand what 1+1=2 means." The "understanding" part has nothing to do with the accuracy or truthfulness of the computation; it comes from the relation of the abstract statement to counting of actual objects.

Re: There are no new ideas in AI, only new datasets

#306

Earlier quoted context omitted.

Language is literally an abstraction of sensory inputs and cognitive processes. One can make similar arguments about image generation. These abstractions might characterize the higher cognitive abilities of humans, but it makes no sense to ignore "lower level" cognition. Embodiment is the foundation of our rich internal world models, in particular spacetime, causality, etc. Current generative models merely mimic the…

> Language is literally an abstraction of sensory inputs and cognitive processes. Language can exist entirely independently from senses and cognition. It is an encoding of patterns in the world where the only thing that matters is if anybody or anything wielding it can map the encodings to and from the patterns they encode for (which is more of a sociological/synchronisation challenge). Does C, or Java, 'make no sens…

> Language can exist entirely independently from senses and cognition.

Maybe? Are you just outlining the thesis, or saying this should be self-evident?

> It is an encoding of patterns in the world where the only thing that matters is if anybody or anything wielding it can map the encodings to and from the patterns they encode for (which is more of a sociological/synchronisation challenge).

Yes, and my point is, current genAI utterly fails in unpredictable / bizarre ways because it only mimics the abstract encodings, ignorant of patterns in the world. Obviously some people argue "next token prediction is all you need," but that's a claim that is far from self-evident.

> There are many parts of non-programming languages that similarly have nothing to do with embodiment. Some of them are even about incredibly abstract things impossible in our universe. One could argue that for many fields genius lies in being able to mentally model what is so foreign to the intuition our embodiment has imbued us with or to be able to find a mapping to facilitate that intuition.

I would say this misses the point. The meaningfulness of abstractions, even ones that are unintuitive or unphysical or illogical, come from our embodied experience. Our enjoyment of even the most absurd fiction comes from our ability to simultaneously comprehend what it is "about" and what is "possible." Both relate to experience-of-reality and mean nothing in a vacuum.

> Said otherwise: the experience our embodiment has given us might limit how well we can understand the world (Quantum Mechanics anyone?).

I agree that we are limited in some ways by our particular embodiment. e.g. There's a huge spectrum of sensory experiences - colors, sounds, smells ... - which we know other animals have that we do not.

As I understand, where we disagree is on the why. I would say our capacity for understanding comes from our embodiment, therefore it's only natural that the limits of our embodiment also limit our understanding. After all we could imagine that if we had direct sensory experience of quantum effects, we would understand QM better or at least easier. In some fuzzy way, (no embodiment => poor understanding) and (embodiment => better understanding) is evidence for (embodiment understanding). I suppose your argument is a counterfactual that we might be able to imagine a (no embodiment & some understanding) so (no embodiment =/> poor understanding), but I don't see the evidence that this is not just imaginable but actually possible in reality.

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