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ChatGPT as a Calculator for Words

simonwillison.net

21–30 of 81 posts

Re: ChatGPT as a Calculator for Words

#21

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

He can make the same criticism of Internet searches as he does of GPT: you shouldn't trust them until you validate them.

I find that GPT's answers are for the most part more reliable the searches, specifically today's searches. In the last 12 months, search results have become so spammy with AI generated pages (oh the irony), that it's hard to find reliable answers.

So like search, I look at GPT's answers with a grain of salt and validate them, but these days I use GPT all day every day and search rarely. To be fair, I use it a lot because I have a GPT CLI that works just the way I want it to, since I wrote it :-). https://github.com/drorm/gish

Re: ChatGPT as a Calculator for Words

#22
post #10

I've seen this take a lot, and I find it frustrating as it flies in the face of the information theory underpinning how large neural networks learn information. This is more than just a fancy zip file of Markov sequences. Someone has got to put a stop to this silly line of reasoning, I'm not sure why more people familiar with the math of deep learning aren't doing their best to dispel this particular belief (which pe…

Which take are you talking about?

Re: ChatGPT as a Calculator for Words

#23

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

I tried to hint at that with "Using them as an alternative to a search engine such as Google is one of the most obvious applications—and for a lot of queries this works just fine."

I agree: I do use it as a search engine myself for a bunch of things, but those tend to be things where I've developed a strong intuition that it's likely to give me a reasonable result.

People who haven't developed that intuition yet tend to run into problems - and will often then loudly proclaim that LLMs are evidently useless and shouldn't be trusted for anything.

Re: ChatGPT as a Calculator for Words

#24
post #13

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

I'm convinced LLMs are amazing for search, because they're the only thing that managed to give me an answer when I was looking for some software I didn't know the general category name for. I described what I wanted the software to do, corrected its understanding with a few followup messages, and it gave me a list of alternatives that are exactly what I wanted, along with a category name. Google, in comparison, retur…

There’s two different things and we refer to both of them with the word “search”.

Sometimes search means “I can sort of describe what I’m looking for, can you tell me what it’s called?”. LLMs excel here. I told GPT4 I’m doing computer animation and want to do smooth blending, it told me that’s called “interpolation”, I asked for some common terms in the literature about this to help me look and it told me about LERP, SLERP, quaternions, splines, Beziers, keyframes, inverse kinematics, and motion capture. All useful jumping-off points. (A subset of this type of search is “I know what this is called, can you tell me more about it?”. This is probably the place where LLMs sell snake oil the most; they always provide a convincing explanation of the thing, but there’s no guarantee on veracity.)

Other times, search means “I have a specific phrase and I want to find occurrences of it”. LLMs aren’t just bad at this, they are constitutionally incapable of it. The way you build an LLM necessarily involves taking all specific phrases and occurrences thereof, and blending them up into a word slurry that is then condensed and abstracted into floating point weights. It no longer has the specifics to give you. It’s a shame that search engines have let this task (“ctrl-f the web”) fall by the wayside. It’s probably a large part of why people think Google search sucks now, it certainly is for me. (There’s this one essay about the Harappan civilization that I used to be able to find by searching for “strange builders mist of time”, I definitively remember that exact phrase working for me many years ago, and now it does not work and I cannot find that essay anymore.)

Re: ChatGPT as a Calculator for Words

#25
post #10

I've seen this take a lot, and I find it frustrating as it flies in the face of the information theory underpinning how large neural networks learn information. This is more than just a fancy zip file of Markov sequences. Someone has got to put a stop to this silly line of reasoning, I'm not sure why more people familiar with the math of deep learning aren't doing their best to dispel this particular belief (which pe…

Can you explain more ? I know the basics of deep learning and I found the article accurate.

The fuzzy jpeg analogy and related kin ignore the internal disentanglement of ideas, which is what separates LLMs from, say, a probabilistic chain producer.

I.e. one can think of it as a NERF of an underlying manifold instead of just assembling pictures taken of the manifold, which is an important distinction to make.

I.e. it learns the manifold, not the manifold samples. That's what makes it so powerful and lets it coherently mix and match very abstract concepts together. Even if it gets it wrong, one could link that to the fuzziness of a NERF where there is not as much data.

That's why this whole "average" business is silly nonsense. We're reducing the empirical risk over the dataset, not the L2 loss over it for Pete's sake.

Re: ChatGPT as a Calculator for Words

#26

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

“I think the right way to think of the models we create is as a reasoning engine, not a fact database. They can also act as a fact database, but that’s not really what is special about them.” —Sam Altman

Rebecca Jarvis interviews Sam Altman for ABC News Rebecca Jarvis, https://www.youtube.com/watch?v=540vzMlf-54

(I don't think this contradicts what you said.)

Re: ChatGPT as a Calculator for Words

#27
post #22
post #10

I've seen this take a lot, and I find it frustrating as it flies in the face of the information theory underpinning how large neural networks learn information. This is more than just a fancy zip file of Markov sequences. Someone has got to put a stop to this silly line of reasoning, I'm not sure why more people familiar with the math of deep learning aren't doing their best to dispel this particular belief (which pe…

Which take are you talking about?

The blurry jpeg/average argument and related.

It doesn't even match the basic math of the loss function, and implies a static snapshot instead of a decomposed, dynamic system that uses disentangled components to form a solution (whether incorrectly or correctly).

I.e. I feel it really downplays the beauty of what is happening, and that is something frustrating to me, especially when it's fairly straightforward mathematically that that is not at all the case of what's happening, at least from my personal experience/perspective.

Re: ChatGPT as a Calculator for Words

#28
post #21

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

He can make the same criticism of Internet searches as he does of GPT: you shouldn't trust them until you validate them. I find that GPT's answers are for the most part more reliable the searches, specifically today's searches. In the last 12 months, search results have become so spammy with AI generated pages (oh the irony), that it's hard to find reliable answers. So like search, I look at GPT's answers with a grai…

Google and others would be wise to add a date filter of "before summer 2023". Maybe a bit longer, but not much time left till AI spam really takes over.

Re: ChatGPT as a Calculator for Words

#29
post #26

The author does a good job of pointing out what may be the strongest skills of LLMs but the claim they aren't useful as a search engine didn't ring particularly true. For many questions I have ChatGPT is the best tool to use because I know the topics I'm asking about are mentioned hundreds of times in the web, and the LLM can distill down at knowledge to the specifics I'm asking about. If you treat it as a friend who…

“I think the right way to think of the models we create is as a reasoning engine, not a fact database. They can also act as a fact database, but that’s not really what is special about them.” —Sam Altman Rebecca Jarvis interviews Sam Altman for ABC News Rebecca Jarvis, https://www.youtube.com/watch?v=540vzMlf-54 (I don't think this contradicts what you said.)

From his interview with Lex Friedman:

Quoting what he says [0][1]:

> You know, a funny thing about the way we're training these models is I suspect too much of the like processing power for lack of a better word is going into using the models as a database instead of using the model as a reasoning engine. The thing that's really amazing about the system is that it, for some definition of reasoning, and we could of course quibble about it and there's plenty for which definitions this wouldn't be accurate. But for some definition it can do some kind of reasoning. And, you know, maybe like the scholars and the experts and like the armchair quarterbacks on Twitter would say, no, it can't. You're misusing the word, you know, whatever, whatever. But I think most people who have used the system would say, okay, it's doing something in this direction. And I think that's remarkable. And the thing that's most exciting and somehow out of ingesting human knowledge, it's coming up with this reasoning capability. However, we're gonna talk about that. Now, in some senses, I think that will be additive to human wisdom.

[0] https://steno.ai/lex-fridman-podcast-10/367-sam-altman-opena...

[1] https://youtu.be/L_Guz73e6fw?t=828

Re: ChatGPT as a Calculator for Words

#30

Earlier quoted context omitted.

Is this a result of the machine-instead-of-human-reviewer/editor difference, or because of a sense that the writing is less a "pure" output of a singular author?

Well I think it's like, you come to enjoy an author's particular style of writing, and if people are just going to use ChatGPT to write things for them, then they're not going to develop any style. Everyone might even end up all sounding the same. With a calculator this is a feature. We want computations to be the same after all. Everyone should be able to get the same results when they enter the same numbers in. But…

What if people use them to try to learn a style? If someone is trying to write in a more active voice, or avoid gendered language, then are they suddenly not worth reading anymore?

I think it is worth pointing out that plenty of prose editors advised on words to remove from your sentences (IA Writer as an example) before LLMs were a thing. If they used one of these tools making suggestions, would they no longer be worth reading? What about the green squiggle of grammar errors before this?

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