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Latent Space as a New Medium

kevinkelly.substack.com

21–30 of 41 posts

Re: Latent Space as a New Medium

#21

Dear Kevin: AI models don't contain all of human knowledge. They don't even contain, for example, the complete curricula of the least comprehensive K-12 program.

That's a really interesting claim, can you give an example of a question that could reasonably be on a K-12 exam that a frontier model can't answer?

I learned to drive in a drivers ed course at school in tenth grade.

There's also home ec, wood shop, metal shop, auto shop, sculpture, choir, theater arts, marching band, phys ed.

Re: Latent Space as a New Medium

#22
post #2

Infinite Craft is a web game based on combining two things using LLMs, but it's not clear how it works, whether latent space or something else.

I believe it's just giving a prompt to an LLM saying "combine these things ..."

I thought so too, but the results are too consistent. It never combines foo and bar to make "Certainly! It's foobar" or "I can't do that" or "foobar. Would you like anything else?"

Re: Latent Space as a New Medium

#24
>In other words, correctness, truth, cohesiveness, completeness, comprehension, etc are all essentially patterns that are mapped in this space.

The caveat is that truth in latent space is just a reflection of the consensus from the corpus, and you find truth by comparing the answer in latent space to what is in reality.

But I just hate this idea that truth and facts are no longer real, they're just "directions". The more we rely on these models for our lives, the more we lose touch with reality and are pushed and pulled in all these different directions. Feels like the future is just ai psychosis and there's no way out. Is that what complete agi victory looks like?

Re: Latent Space as a New Medium

#25
There's a lot of very strong claims made at the start of this article.

(emphasis mine)

> A Large Language Model (LLM) is like a small zip file that contains all human knowledge.

> In a strange but real way the resulting tiny file contains all the information that is on the internet and in our libraries.

> Likewise, the LLM could recognize the face of almost any person, and it could generate any possible human face,

All writings? All of human knowledge in general? Any person??

The example he gives for writing is Shakespeare, which might be one of the most overrepresented writers in the entire training dataset. So yes, of course LLMs can replicate his writings with high accuracy. That doesn't mean that the same applies to literally all of human writings and knowledge.

> We've never had a system to integrate everything we know and everything we can imagine.

Yeah, we still don't.

At first I thought he was just being intentionally hyperbolic for effect, but the rest of the article is even worse. From the closing paragraph:

> We’ll soon depend on this oracle to such an extent that we’ll wonder how we lived without it.

No! AI is not an oracle! That is honestly an extremely dangerous way to think about this technology.

This is the type of baseless hype that OpenAI and Anthropic have been exploiting for years, and I really wish it would stop.

Re: Latent Space as a New Medium

#26
post #24

>In other words, correctness, truth, cohesiveness, completeness, comprehension, etc are all essentially patterns that are mapped in this space. The caveat is that truth in latent space is just a reflection of the consensus from the corpus, and you find truth by comparing the answer in latent space to what is in reality. But I just hate this idea that truth and facts are no longer real, they're just "directions". The…

I think virtual reality and AI are a prelude to humanity living in Hong Kong style coffin apartments, and things will get progressively worse until we're in Matrix pods.

Re: Latent Space as a New Medium

#27
I thought the article was interesting from a visualization perspective, even if it's not perfectly solid on the actual mechanics in a model. It helps describe the scale of the connections.

> There’s no pre-formed thought “behind” the words that then gets translated into language. The words are the thinking.

The recent paper on "J-space" [0] contradicts this, models can "think" of things without emitting as text.

[0] https://www.anthropic.com/research/global-workspace

Re: Latent Space as a New Medium

#29
post #24

>In other words, correctness, truth, cohesiveness, completeness, comprehension, etc are all essentially patterns that are mapped in this space. The caveat is that truth in latent space is just a reflection of the consensus from the corpus, and you find truth by comparing the answer in latent space to what is in reality. But I just hate this idea that truth and facts are no longer real, they're just "directions". The…

> But I just hate this idea that truth and facts are no longer real, they're just "directions".

There's another way to look at this which is just as pernicious, and you've already mentioned it. That's the idea that "truth" is the consensus of the training data. Even if you include several layers of meta-training-data (i.e training data that comments on the accuracy/truthfulness of other training data), this idea that we can get truth by just carrying out some aggregate operation across (everything|a lot of stuff) seems completely obviously false to me.

Re: Latent Space as a New Medium

#30
This article starts off well enough and covers some things I had been thinking about myself: exploring the many-dimensional space of an LLM. But then I think it veers into good old human hallucination (buzz-words disconnected from realities).

It even mentions my favorite show "Connections," but gets it wrong: it wasn't showing obscure or unlikely ideas, it was highlighting under-appreciated historical paths of developmnent. The one I remember (and have seen repeated on youtube since) was how the lathe boot-strapped the industrial revolution, crude ones at first helping to build more accurate replacements for themselves.

I want to give the author some credit for exploring some of the new possibilities that the LLM constructs offer. But the second half just veers into unreal territory. Typically, the author takes the words "latent space" and divorces them from their actual meaning to just make up stuff.

"Retro latents": nobody except historians will want to revisit the uncanny valley.

"simulate all possible latent spaces": that's just n-dimentional random matrices, for n trending to infinity, computationally infeasible. "computationally sweep through the space of all possible latent spaces, in a sense mapping the nature of latent space itself": no for the same reason. A "latent space" is only significant because it is based on a reality. It makes no sense to us to make a random "latent space" and ask what reality that corresponds to.

"create simulations of various propositions by moving through the latent space": there was already a documentary about this, it was called "The Matrix."

"Latent spaces contain all parallel worlds": if properly constructed and queried, it seems they would really only contain our reality. A parallel world would be a different "latent space" (ie big matrix) with different values.

The "Personal latent space" does make me think there might finally be a way to "download" our brains into silicon, but you'd really have to train it with google glasses running 24/7 from birth, and nobody wants that. Plus, it would be a security nightmare: unless you could carefully guard all access in an air-gapped container only you control (a bit like your brain in your body), you could be duplicated and your virtual duplicate could drain your bank accounts, be easily blackmailed, steal your IP, etc.

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