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Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

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401–410 of 652 posts

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#402
post #193

I like the term "bullshit" over "hallucination". These AI machines have no perceptions, no concept of truth, so indeed they are just spewing out words with no regard for truth. And unfortunately the cost of spreading bullshit has gone down to almost 0.

I dislike the term bullshit because it's use regarding ChatGPT does not match the dictionary version "stupid or untrue talk or writing; nonsense". If your sentence "LLMs output is bullshit" is wrong you may be better off changing the sentence than rewriting the dictionary to fit your sentence. I mean you can redefine words if you like, like how young people use sick and bad to mean much the opposite of what they did,…

consider words can have multiple definitions

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#403
Overall this is very good, but I have one specific note: Lesson 6 says "LLMs aren't conscious."

I think I get what you're saying there - they are not conscious in the same way that humans are - but "consciousness" is a highly-debated term without a precise definition, and correspondingly philosophers have no consensus on whether machines in general are capable of it. Here is one of my favorite resources on that, the Stanford Encyclopedia of Philosophy's page on the Chinese Room Argument:

https://plato.stanford.edu/entries/chinese-room/

Things that appear conscious, or that appear to understand a language, are very hard to distinguish from things that actually are those respective things.

Again, I think I get the intended point - some people interact with ChatGPT and "feel" there is another person on the other side, someone that experiences the world like them. There isn't. That is good to point out. But that doesn't mean machines in general and LLMs specifically can't be conscious in some other manner, just like insects aren't conscious like us, but might be in their own way.

Overall I think the general claim "LLMs aren't conscious" is debatable on a philosophical level, so I'd suggest either defining things more concretely or leaving it out.

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#404
post #368

Earlier quoted context omitted.

Funny, I feel the same way about humans.

Whenever I see someone confidently making a comparison between LLMs and people, I assume they are unserious individuals more interested in maintaining hype around technology than they are in actually discussing what it does.

Someone saying "they feel" something is not a confident remark.

Also, there's plenty of neuroscience that is produced by very serious researchers that have no problems making comparisons between human brain function and statistical models.

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

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

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#405
post #383

Earlier quoted context omitted.

An LLM’s mechanics are algorithmically much closer to the human brain (which the LLM is modeled on) than a TI-83, a CPU, or any other Turing machine. Which is why, like the brain, it can solve problems that no individual Turing machine can. Are you sure you aren’t just defining reasoning as something only a human can do?

My prior is reasoning is a conscious activity. There is a first person perspective. LLMs are so far removed mechanically from brains the idea they reason is not even remotely worth considering. Modeling neurons can be done with a series of pipes and flowing water, and that is not expected to give arise to consciousness either. Nor are nuerons and synapses likely to be sufficient for consciousness. You know how we ins…

LLMs are so far removed mechanically from brains the idea they reason is not even remotely worth considering.

Jet planes are so far removed mechanically from a bird that the idea they fly is not even remotely worth considering.

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#406
post #380
post #93

Earlier quoted context omitted.

What they capture is not knowledge, it's word relationships. And that can indeed be powerful, useful and valuable. They're a tool I'm grateful to have in my armoury. I can use it as a torch to shine light into areas of human knowledge which would otherwise be prohibitively difficult to access. But they're information retrieval machines, not knowledge engines.

I’d argue that they extract knowledge from the training corpus in the same way that knowledge can be encapsulated in a book… it’s just words, after all. Tokenization goes well beyond words and punctuation. Knowledge and relationships between concepts, reactions, emotions, values, attitudes, and actions all get included in the vector space. But, it also can come to wrong conclusions, of course. Ultimately they are inf…

Yes and no.

They extract information in much the same way that an educated but naive reader can extract information from a book. (Thousands of times quicker of course).

But there's a lot more than that going on, both when a book is written, and when it's read by a reader with life experience. A book is an encoding and transmission medium for knowledge - and a very good one - but it isn't the knowledge itself.

Like a musical score for an orchestral symphony isn't the symphony itself. (Granted, reading a score and synthesizing an orchestra is well within the grasp of the models we have now).

Poetry is perhaps the ultimate expression of this, but even at a more factual level - I could read a dozen books on a given religion, and although I might possess more in terms of historical fact or even theological argument, I'd still know less about it than somebody who was raised in that religion. Same with any profession, hobby, or craft.

Encoding the relationships between the words we use for different emotions in a vector space doesn't mean it knows the least thing about those emotions. Even though it can do an excellent job of convincing us that it does in a Turing test scenario.

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#407

Earlier quoted context omitted.

> the way you tell whether what you read is true is by seeing whether or not it fits in with observation of reality The only way any of us ever gets to see "whether or not it fits in with observation of reality" is to see if they get an A or F on the test asking it. Seriously. The "moons of Jupiter" question is the only one of the above one gets to connect to an observation independent of humans, and then if they did…

What? That's (1) not true and (2) says, uh, a lot of unintentional things about the way you approach the world. I'm not sure you realize quite how it makes you look. For one, it's not even internally consistent -- the people who built telescopes and satellites didn't "see" the moons, either. They got back a bunch of electrical signals and interpreted it to mean something. This worldview essentially boils down to the…

> I'm not sure you realize quite how it makes you look.

I probably don't.

> For one, it's not even internally consistent -- the people who built telescopes and satellites didn't "see" the moons, either. They got back a bunch of electrical signals and interpreted it to mean something.

I'm not trying to go 100% reductionist here; I thought the point was clear. I was locking on the distinction between "learn from experience" vs. "learn from reading about it", and corresponding distinction of "test by predicting X" vs. "test by predicting other peoples' reactions to statements about X" - because that's the distinction TFA assumes we're on the "left side" of, LLMs on the "right", and I'm saying humans are actually on the same side as LLMs.

> This worldview essentially boils down to the old "brain in a jar" which is fun to think about at 3am when you're 21 and stoned, but it's not otherwise useful so we discard it.

Wait, what's wrong with this view? Wasn't exactly refuted in any way, despite proclamations by the more "embodied cognition" folks, whose beliefs are to me just a religion trying to retroactively fit to modern science to counter diminishing role of human soul at the center of it.

> I'm always a bit shocked and disappointed with people when they go "well, you learn it on a test and that's how you know" because ...no, no that's not at all how it works. The most essential part of learning is knowing how we know and knowing how certain we are in that conclusion.

My argument isn't simply "learn for the test and it's fine". I was myself the person who refused to learn "for the test" - but that doesn't change the fact that, in 99% of the cases, what I was doing is anticipating reaction of people (imaginary or otherwise) who hold accurate beliefs around the world, because it's not like I was able to test any of it empirically myself. And no, internal belief consistency is still text land, not hard empirical evidence land.

My point is to highlight that, for most of what we call today knowledge, which isn't tied to directly experiencing a phenomena in question, we're not learning in ways fundamentally different to what LLMs are doing. This isn't to say here that LLMs are learning it well or understanding it (for whatever one means by "understanding") - just that the whole line of arguing that "LLMs only learn from statistical patterns in text, unlike us, therefore can't understand" is wrong because 1) statistical patterns in text contain contain that knowledge, and 2) it's what we're learning it from as well.

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#408

Earlier quoted context omitted.

What is reasoning? What is understanding? Do humans do either? How do you know?

this is the question that the greeks wrestled with over 2000 years ago. at the time there were the sophists (modern llm equivalents) that could speak persuasively like a politician. over time this question has been debated by philosophers, scientists, and anyone who wanted to have better cognition in general.

at the time there were the sophists (modern llm equivalents) that could speak persuasively like a politician.

You might want to brush up on your Greek history.

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#409
post #403

Overall this is very good, but I have one specific note: Lesson 6 says "LLMs aren't conscious." I think I get what you're saying there - they are not conscious in the same way that humans are - but "consciousness" is a highly-debated term without a precise definition, and correspondingly philosophers have no consensus on whether machines in general are capable of it. Here is one of my favorite resources on that, the…

Philosophy aside - how can an LLM be conscious without a memory or manifestation in the real world? It is a function that, given an input, returns an output and stops existing afterwards. You wouldn't argue that f(x)=x^2 is conscious?

I would maybe accept debates about whether for example ChatGPT (the whole system that stores old conversations and sends the history along with the current user entry) is conscious - but just the model? Isn't that like saying the human brain (just the organ lying on a table) is conscious?

Re: Modern-Day Oracles or Bullshit Machines? How to thrive in a ChatGPT world

#410
post #115

This will not age well. Yesterday my bullshit machine wrote a linker argument parser to hook a C++ library up in a Rust build config. Oh it also wrote tests for it. https://chatgpt.com/share/67a89e5f-b5b4-8011-9782-472d469cc2...

Yesterday my 30 year old photocopier wrote a Shakespeare drama! All I had to was scan the original pages.

Did your photocopier also write a drama in the style of Shakespeare based on some news article you gave it?
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