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Bag of words, have mercy on us

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Re: Bag of words, have mercy on us

#51

Earlier quoted context omitted.

The issue is that prediction is "part" of the human thought process, it's not the full story...

> The issue is that prediction is "part" of the human thought process, it's not the full story... Do you have a proof for this? Surely such a profound claim about human thought process must have a solid proof somewhere? Otherwise who's to say all of human thought process is not just a derivative of "predicting the next thing"?

Use your brain and use an LLM for 6 months, you’ll work it out.

Re: Bag of words, have mercy on us

#52
post #41

Everyone is out here acting like "predicting the next thing" is somehow fundamentally irrelevant to "human thinking" and it is simply not the case. What does it mean to say that we humans act with intent? It means that we have some expectation or prediction about how our actions will effect the next thing, and choose our actions based on how much we like that effect. The ability to predict is fundamental to our abili…

When you have a thought, are you "predicting the next thing"—can you confidently classify all mental activity that you experience as "predicting the next thing"? Language and society constrains the way we use words, but when you speak, are you "predicting"? Science allows human beings to predict various outcomes with varying degrees of success, but much of our experience of the world does not entail predicting things…

> When you have a thought, are you "predicting the next thing"—can you confidently classify all mental activity that you experience as "predicting the next thing"?

So notice that my original claim was "prediction is fundamental to our ability to act with intent" and now your demand is to prove that "prediction is fundamental to all mental activity."

That's a subtle but dishonest rhetorical shift to make me have to defend a much broader claim, which I have no desire to do.

> Language and society constrains the way we use words, but when you speak, are you "predicting"?

Yes, and necessarily so. One of the main objections that dualists use to argue that our mental processes must be immaterial is this [0]:

* If our mental processes are physical, then there cannot be an ultimate metaphysical truth-of-the-matter about the meaning of those processes.

* If there is no ultimate metaphysical truth-of-the-matter about what those processes mean, then everything they do and produce are similarly devoid of meaning.

* Asserting a non-dualist mind therefore implies your words are meaningless, a self-defeating assertion.

The simple answer to this dualist argument is precisely captured by this concept of prediction. There is no need to assert some kind of underlying magical meaning to be able to communicate. Instead, we need only say that in the relevant circumstances, our minds are capable of predicting what impact words will have on the receiver and choosing them accordingly. Since we humans don't have access to each other's minds, we must not learn these impacts from some kind of psychic mind-to-mind sense, but simply from observing the impacts of the words we choose on other parties; something that LLMs are currently (at least somewhat) capable of observing.

[0] https://www.newdualism.org/papers/E.Feser/Feser-acpq_2013.pd...

If you read the above link you will see that they spell out 3 problems with our understanding of thought:

Consciousness, intentionality, and rationality.

Of these, I believe prediction is only necessary for intentionality, but it does have some roles to play in consciousness and rationality.

Re: Bag of words, have mercy on us

#53

I’ve made this point several times: sure, an anthropomorphized LLM is misleading, but would you rather have them seem academic? At least the human tone implies fallibility, you don’t want them acting like interactive Wikipedia.

Yes I would VERY much prefer that they not use that awful casual drivel.

Re: Bag of words, have mercy on us

#54
post #46

Earlier quoted context omitted.

The issue is that prediction is "part" of the human thought process, it's not the full story...

And the big players have built a bunch of workflows which embed many other elements besides just "predictions" into their AI product. Things like web search, to incorporating feedback from code testing, to feeding outputs back into future iterations. Who is to say that one or more of these additions has pushed the ensemble across the threshold and into "real actual thinking." The near-religious fervor which people in…

I take a offence in the idea I’m “religiously downplaying LLMs”. I pay top dollar for access to the best models because I want the capabilities to be good / better. Just because I’m documenting my experience it doesn’t mean I have an Anti-ai agenda ? I pay because I find LLMs to be useful. Just not in the way suggested by the marketing teams.

I’m downplaying because I have honestly been burned by these tools when I’ve put trust in their ability to understand anything, provide a novel suggestion or even solve some basic bugs without causing other issues.?

I use all of the things you talk about extremely frequently and again, there is no “thinking” or consideration on display that suggests these things work like us, else why would we be having this conversation if they were ?

Re: Bag of words, have mercy on us

#55
post #38
post #28

As usual with these, it helps to try to keep the metaphor used for downplaying AI, but flip the script. Let's grant the author's perception that AI is a "bag of words", which is already damn good at producing the "right words" for any given situation, and only keeps getting better at it. Sure, this is not the same as being a human. Does that really mean, as the author seems to believe without argument, that humans ne…

So a human is just a really expensive, unreliable bag of words. And we get more expensive and more unreliable by the day! There's a quote I love but have misplaced, from the 19th century I think. "Our bodies are just contraptions for carrying our heads around." Or in this instance... bag of words transport system ;)

So tell me, why do I still have a job and why am frequently successful in getting profitable / useful products into production if I’m “expensive and unreliable”?

I mean I use AI tools to help achieve the goal but I don’t see any signs of the things I’m building and doing being unreliable.

Re: Bag of words, have mercy on us

#56
post #46

Earlier quoted context omitted.

And the big players have built a bunch of workflows which embed many other elements besides just "predictions" into their AI product. Things like web search, to incorporating feedback from code testing, to feeding outputs back into future iterations. Who is to say that one or more of these additions has pushed the ensemble across the threshold and into "real actual thinking." The near-religious fervor which people in…

I completely agree that we don't know enough, but I suggest that that entails that the critics and those who want to be cautious are correct. The harms engendered by underestimating LLM capabilities are largely that people won't use the LLMs. The harms engendered by overestimating their capabilities can be as severe as psychological delusion, of which we have an increasing number of cases. Given we don't actually hav…

> The harms engendered by underestimating LLM capabilities are largely that people won't use the LLMs.

Speculative fiction about superintelligences aside, an obvious harm to underestimating the LLM's capabilities is that we could effectively be enslaving moral agents if we fail to correctly classify them as such.

Re: Bag of words, have mercy on us

#57
The bag of words reminds me of the Chinese room.

"The machine accepts Chinese characters as input, carries out each instruction of the program step by step, and then produces Chinese characters as output. The machine does this so perfectly that no one can tell that they are communicating with a machine and not a hidden Chinese speaker.

The questions at issue are these: does the machine actually understand the conversation, or is it just simulating the ability to understand the conversation? Does the machine have a mind in exactly the same sense that people do, or is it just acting as if it had a mind?"

https://en.wikipedia.org/wiki/Chinese_room

Re: Bag of words, have mercy on us

#58
As a consequence of my profession, I understand how LLMs work under the hood.

I also know that we data and tech folks will probably never win the battle over anthropomorphization.

The average user of AI, nevermind folks who should know better, is so easily convinced that AI "knows," "thinks," "lies," "wants," "understands," etc. Add to this that all AI hosts push this perspective (and why not, it's the easiest white lie to get the user to act so that they get a lot of value), and there's really too much to fight against.

We're just gonna keep on running into this and it'll just be like when you take chemistry and physics and the teachers say, "it's not actually like this but we'll get to how some years down the line- just pretend this is true for the time being."

Re: Bag of words, have mercy on us

#59
post #38
post #28

As usual with these, it helps to try to keep the metaphor used for downplaying AI, but flip the script. Let's grant the author's perception that AI is a "bag of words", which is already damn good at producing the "right words" for any given situation, and only keeps getting better at it. Sure, this is not the same as being a human. Does that really mean, as the author seems to believe without argument, that humans ne…

So a human is just a really expensive, unreliable bag of words. And we get more expensive and more unreliable by the day! There's a quote I love but have misplaced, from the 19th century I think. "Our bodies are just contraptions for carrying our heads around." Or in this instance... bag of words transport system ;)

I think the canonical answer is that humans are “bags of mostly water” .

Re: Bag of words, have mercy on us

#60

As a consequence of my profession, I understand how LLMs work under the hood. I also know that we data and tech folks will probably never win the battle over anthropomorphization. The average user of AI, nevermind folks who should know better, is so easily convinced that AI "knows," "thinks," "lies," "wants," "understands," etc. Add to this that all AI hosts push this perspective (and why not, it's the easiest white…

I'm a neurologist, and as a consequence of my profession, I understand how humans work under the hood.

The average human is so easily convinced that humans "know", "think", "lie", "want", "understand", etc.

But really it's all just a probabilistic chain reaction of electrochemical and thermal interactions. There is literally nowhere in the brain's internals for anything like "knowing" or "thinking" or "lying" to happen!

Strange that we have to pretend otherwise

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