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We come to bury ChatGPT, not to praise it

danmcquillan.org

31–40 of 425 posts

Re: We come to bury ChatGPT, not to praise it

#31

> If it produces plausible articles or computer code it means the inevitable hallucinations are becoming harder to spot. How functional does the code have to be before it's no longer a hallucination? What if we are all not much more than only drawing "on the (admittedly vast) proportion of [our experiences] ingested at training time?

"How functional does the code have to be before it's no longer a hallucination?" Well, at the point when it works but I can't understand it well enough to verify that it is correct, we may have some issues. I know someone who has been using it to write complex regexs. To mutate the joke, to me it just sounds like now they have three problems.

So either write tests, or ask GPT to rewrite the code sp that you can understand it, then write tests.

Re: We come to bury ChatGPT, not to praise it

#32
post #13

It's nice to see a little realism starting to poke through the hype. The rush for automatic bullshit generation for me is very much in the bucket of, "Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should." As with every new technology, we should be looking at LLMs through a lens of maximizing the benefits and minimizing the harms.

[deleted]

Re: We come to bury ChatGPT, not to praise it

#36
Why do “smart” people like trying to connect all the different current news items into one grand narrative. Is he trying to use the political capital generated by opposition to chatgpt for other issues? Chatgpt has less than nothing to do with underpaid home health aids. They don’t even know what it is!

Re: We come to bury ChatGPT, not to praise it

#38

> If it produces plausible articles or computer code it means the inevitable hallucinations are becoming harder to spot. How functional does the code have to be before it's no longer a hallucination? What if we are all not much more than only drawing "on the (admittedly vast) proportion of [our experiences] ingested at training time?

> How functional does the code have to be before it's no longer a hallucination?

From LLMs, at least, I expect it will always be a hallucination. Code is never the point. Code is the working medium by which people solve problems for other people.

One way to see this is to realize that code bases on their own are generally worthless in the sense that people rarely pay much money for them. They pay for users. They pay for teams. But they don't generally pay for raw code.

Another way to look at it: imagine that a manager looks at ChatGPT and says, "At last, I can fire all the programmers. Fuck those guys." They set out to build an app. How long do you think it will take before they are forced to admit defeat and hire somebody who can read and edit the code?

Even if you think they make it all the way to a revenue-generating product, the manager will have become a prompt engineer, creating a large mass of interrelated prompts that are used to make code that makes the app. We have not eliminated the programmer; we have turned a manager into a programmer who has been forced to discover a new programming language. One that is clearly more English-like, but it also lacking in precision and, on current evidence, is much harder to use.

But I think the more likely outcome is that they will need actual programmers pretty quickly. That at best they will have speeded the creation of some more or less generic code. Which is exactly what we saw with the code-generation wizards of earlier eras: you got a fast initial result as long as it was pretty standard. But then you were generally worse off, because you had a bunch of only semi-coherent code that somebody had to understand before they could do novel or difficult things.

Re: We come to bury ChatGPT, not to praise it

#40
post #13

It's nice to see a little realism starting to poke through the hype. The rush for automatic bullshit generation for me is very much in the bucket of, "Your scientists were so preoccupied with whether or not they could, they didn't stop to think if they should." As with every new technology, we should be looking at LLMs through a lens of maximizing the benefits and minimizing the harms.

There is one thing that ChatGPT has done, which is highlight the amount of bullshit we are exposed to. If ChatGPT does nothing else but replace the bullshit generators, then we know on the whole we are safe to ignore all bullshit (a pretty safe course of action).

Over the past few months I've found myself second guessing whether the article I am reading was generated bullshit or "real" bullshit. It's certainly made me re-think what I waste my time reading. If I can't get through the first paragraph before asking myself "is this AI bullshit?" it's a really good indication that the entire article is going to be bullshit, at which time it doesn't matter whether a human wrote it or not.

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