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> The biggest surprise to me with all this low-quality contribution spam is how little shame people apparently have. ever had a client second guess you by repl

> The biggest surprise to me with all this low-quality contribution spam is how little shame people apparently have. ever had a client second guess you by replying you a screenshot from GPT? ever asked anything in a public group only to have a complete moron replying you with a screenshot from GPT or - at least a bit of effor there - a copy/paste of the wall of text? no, people have no shame. they have a need for a little bit of (borrowed) self importance and validation. Which is why i applaud every code of conduct that has public ridicule as punishment for wasting everybody's time

monooso 9mo ago
Not OP, but I don't consider these the same thing. The client in your example isn't a (presumably) professional developer, submitting code to a public repository, inviting the scrutiny of fellow professionals and potential future clients or employers.
- monegator 9mo ago
  I consider them to be the same attitude. Machine made it / Machine said it. It must be right, you must be wrong. They are sure they know better because they get a yes man doing their job for them.
Aeolun 9mo ago
Random people don’t do this. Your boss however…
Sharlin 9mo ago
Problem is people seriously believe that whatever GPT tells them must be true, because… I don't even know. Just because it sounds self-confident and authoritative? Because computers are supposed to not make mistakes? Because talking computers in science fiction do not make mistakes like that? The fact that LLMs ended up having this particular failure mode, out of all possible failure modes, is incredibly unfortunate and detrimental to the society.
- pousada 9mo ago
  I think in science fiction it’s one of the most common themes for the talking computer to be utterly horribly wrong, often resulting in complete annihilation of all life on earth. Unless I have been reading very different science fiction I think it’s definitely not that. I think it’s more the confidence and seeming plausibility of LLM answers
  - Sharlin 9mo ago
    Sure, but this failure mode is not that. "AI will malfunction and doom us all" is pretty far from "AI will malfunction by sometimes confabulating stuff".
  - oneeyedpigeon 9mo ago
    People are literally taking Black Mirror storylines and trying to manifest them. I think they did a `s/dys/u/` and don't know how to undo it...
    - direwolf20 9mo ago
      They codysld start by trying to dysndo it. I'm sorry. That was a terrible joke.
  - TeMPOraL 9mo ago
    The stories I read had computers being utterly horribly right, which resulted in attempts (sometimes successful) at annihilate humanity.
  - rsynnott 9mo ago
    In terms of mass exposure, you're probably talking things like Cmdr Data from Star Trek, who was very much on the 'infallible' end of the fictional AI spectrum.
    - TheSpiceIsLife 9mo ago
      Data was also famous for getting things embarrassingly wrong, particularly when interacting with his human colleagues.
positive-spite 9mo ago
Didn't happen to me yet. I'm not looking forward to it...
TeMPOraL 9mo ago
This sounds a bit like the "Asking vs. Guessing culture" discussion on the front page yesterday. With the "Guesser" being GP who's front-loading extra investigation, debugging and maintenance work so the project maintainers don't have to do it, and with the "Asker" being the client from your example, pasting the submission to ChatGPT and forwarding its response.
- slfreference 9mo ago
  >> In Guess Culture, you avoid putting a request into words unless you're pretty sure the answer will be yes. Guess Culture depends on a tight net of shared expectations. A key skill is putting out delicate feelers. If you do this with enough subtlety, you won't even have to make the request directly; you'll get an offer. Even then, the offer may be genuine or pro forma; it takes yet more skill and delicacy to discern whether you should accept. delicate feelers is like octopus arms
  - TeMPOraL 9mo ago
    Or octocat arms in this context? Still, I meant that in the other direction: not request, but a gift/favor. "Guess culture" would be going out of your way to make the gift valuable for the receiver - matching what they need, and not generating extra burden. "Ask culture" would be like doing whatever's easiest that matches the explicit requirements, and throwing it over the fence.
meindnoch 9mo ago
Our CEO chiming in on a technical discussion between engineers: by the way, this is what Claude says: *some completely made-up bullshit*
- javcasas 9mo ago
  Hi CEO, thanks for the input. Next time that we have a discussion, we will ask Claude instead of discussing with who wrote the offending code.
- pixl97 9mo ago
  I do want to counter that in the past before AI, the CEO would just chime in with some completely off the wall bullshit from a consultant.
ncruces 9mo ago
I've also had the opposite. I raise an issue or PR after carefully reviewing someone else's open source code. They ask Claude to answer me; neither them nor Claude understood the issue. Well, at least it's their repo, they can do whatever.

monooso 9mo ago

Not OP, but I don't consider these the same thing. The client in your example isn't a (presumably) professional developer, submitting code to a public repository, inviting the scrutiny of fellow professionals and potential future clients or employers.

monegator 9mo ago
I consider them to be the same attitude. Machine made it / Machine said it. It must be right, you must be wrong. They are sure they know better because they get a yes man doing their job for them.

Aeolun 9mo ago

Random people don’t do this. Your boss however…

Sharlin 9mo ago

Problem is people seriously believe that whatever GPT tells them must be true, because… I don't even know. Just because it sounds self-confident and authoritative? Because computers are supposed to not make mistakes? Because talking computers in science fiction do not make mistakes like that? The fact that LLMs ended up having this particular failure mode, out of all possible failure modes, is incredibly unfortunate and detrimental to the society.

pousada 9mo ago
I think in science fiction it’s one of the most common themes for the talking computer to be utterly horribly wrong, often resulting in complete annihilation of all life on earth. Unless I have been reading very different science fiction I think it’s definitely not that. I think it’s more the confidence and seeming plausibility of LLM answers
- Sharlin 9mo ago
  Sure, but this failure mode is not that. "AI will malfunction and doom us all" is pretty far from "AI will malfunction by sometimes confabulating stuff".
- oneeyedpigeon 9mo ago
  People are literally taking Black Mirror storylines and trying to manifest them. I think they did a `s/dys/u/` and don't know how to undo it...
  - direwolf20 9mo ago
    They codysld start by trying to dysndo it. I'm sorry. That was a terrible joke.
- TeMPOraL 9mo ago
  The stories I read had computers being utterly horribly right, which resulted in attempts (sometimes successful) at annihilate humanity.
- rsynnott 9mo ago
  In terms of mass exposure, you're probably talking things like Cmdr Data from Star Trek, who was very much on the 'infallible' end of the fictional AI spectrum.
  - TheSpiceIsLife 9mo ago
    Data was also famous for getting things embarrassingly wrong, particularly when interacting with his human colleagues.

positive-spite 9mo ago

Didn't happen to me yet. I'm not looking forward to it...

TeMPOraL 9mo ago

This sounds a bit like the "Asking vs. Guessing culture" discussion on the front page yesterday. With the "Guesser" being GP who's front-loading extra investigation, debugging and maintenance work so the project maintainers don't have to do it, and with the "Asker" being the client from your example, pasting the submission to ChatGPT and forwarding its response.

slfreference 9mo ago
>> In Guess Culture, you avoid putting a request into words unless you're pretty sure the answer will be yes. Guess Culture depends on a tight net of shared expectations. A key skill is putting out delicate feelers. If you do this with enough subtlety, you won't even have to make the request directly; you'll get an offer. Even then, the offer may be genuine or pro forma; it takes yet more skill and delicacy to discern whether you should accept. delicate feelers is like octopus arms
- TeMPOraL 9mo ago
  Or octocat arms in this context? Still, I meant that in the other direction: not request, but a gift/favor. "Guess culture" would be going out of your way to make the gift valuable for the receiver - matching what they need, and not generating extra burden. "Ask culture" would be like doing whatever's easiest that matches the explicit requirements, and throwing it over the fence.

meindnoch 9mo ago

Our CEO chiming in on a technical discussion between engineers: by the way, this is what Claude says: *some completely made-up bullshit*

javcasas 9mo ago
Hi CEO, thanks for the input. Next time that we have a discussion, we will ask Claude instead of discussing with who wrote the offending code.
pixl97 9mo ago
I do want to counter that in the past before AI, the CEO would just chime in with some completely off the wall bullshit from a consultant.

ncruces 9mo ago

I've also had the opposite. I raise an issue or PR after carefully reviewing someone else's open source code. They ask Claude to answer me; neither them nor Claude understood the issue. Well, at least it's their repo, they can do whatever.