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Don't credit the LLM

https://isaacsu.com/2026/08/dont-credit-the-llm/
16•isaacsu•1h ago

Comments

WCSTombs•53m ago
Taking credit for something you didn't do, whether it was done by another person or by an LLM, is dishonest and unethical. Prompting an LLM to create something is obviously not the same thing as creating it, and I feel this article is trying to normalize tacit plagiarism. In most contexts I'm aware of where assigning credit actually matters, human authorship and LLM authorship are very much distinguished, and failing to "credit the LLM" in some cases can even have legal consequences.

(You don't have to mention LLMs every time you use them because sometimes the credit really doesn't matter.)

> But for the first reason, I’d challenge the notion of sharing credit with a tool, let alone feeling like a cheat for using one.

That's the main reason LLMs aren't "just a tool."

> Credit and accountability are two sides of the same coin. A tool can only take as much credit as it can be held accountable for, so crediting it inadvertently dilutes your own accountability for the work.

Huh? No, credit and accountability are pretty orthogonal. I use tons of open-source tools, and everyone agrees that the respective authors get credit for what they made, but only I am accountable for my use of them. In fact, all open-source licenses spell this out explicitly.

minimaxir•49m ago
> 1. You believe in ascribing credit where credit is due. Using an LLM feels like cheating so disclosing it makes you feel less like an imposter for having produced something amazing.

Cheating isn't the right word here. Crediting LLMs is about giving everyone involved accurate information which can be used for later decision making (e.g. if something unexpected happens as a result of a LLM-ism).

NitpickLawyer•32m ago
> Why did I need to know that?

In a perfect world such a disclaimer would help anyone reading the output by setting expectations. We each have different experiences with this, and different levels of acceptance. Knowing that something is using generated content can help anyone either accept / skim / thoroughly review something.

The problem is that we're seeing lots of backlash, often for ideological reasons, or for outdated somewhat technical reasons, so people have less of an incentive to be honest, and tons of incentives to hide their use.

eru•19m ago
Agreed.

No one minds when I credit a fuzzer for finding a bug. I hope we can use the same pragmatic attitude for LLM help.

voidhorse•10m ago
Pragmatically, the range of application for a fuzzer and for an LLM are so widely different that I'm not sure it makes any kind of pragmatic sense to compare the two.

Also, I don't hear a lot of people credit fuzzers. I do hear a lot of people say things like "we are fuzzing the code"'just like they say "we are hammering the nails" and not "wow hammer great job getting that nail in place"

minimaxir•10m ago
> so people have less of an incentive to be honest, and tons of incentives to hide their use

Case in point, the recent Hank Green incident. That was an own-goal of being too honest about LLM use and I suspect the industry learning will be "don't talk about the process." Larian Studios got in hot water earlier over a similar "we may use AI in preproduction" incident.

grayclhn•18m ago
This is a little silly — if I quote a large passage from an encyclopedia (or whatever), I cite the source. If I use an LLM to write some of a paper or report, I’m not writing that part (even if I edit it or rephrase it or whatever) so I’d better credit the LLM in whatever way is most consistent with how its output is being presented in the paper.
voidhorse•15m ago
I completely agree. All crediting LLMs does is give the companies that built them precisely the kind of ego stroking feedback they want. I bet Dario giggles with excitement every time he sees "Claude" as the author of a git commit. People are feeding directly into y heir narrative that these tools are not tools but somehow replacements for human beings.

You piloted the LLM, you are responsible for the code. I don't sign my commits with "autocompletions by Intellij". This whole thing is nonsense.

As for the possibilities listed in TFA, I personally think the most common one is people just blaming the tool or hoping to use citation as cover for slop work. It's basically an admission of "I didn't look into this as thoroughly as I myself think I should have to really understand what I'm doing". Don't be that person. If you don't understand what you are doing prompt the LLM with questions until you do understand. It isn't difficult.

Driver4732•14m ago
I'm always skeptical of a recommendation to a technical problem when someone tells me they used an LLM chatbot like CoPilot. They really are just slot machines. Sometimes the answer works. Sometimes it doesn't. On the other hand, when someone tells me they googled it and found an article - not that AI overview crap - I trust it more because I know it was written and tested by a human.
jimmaswell•5m ago
I find human answers and handwritten code to be much worse of a slot machine. An article (or stack overflow post) has a not-insignificant chance to be riddled with outdated API calls, human-made bugs, unspoken assumptions of knowledge on my part or how the environment it runs in will be set up, etc. Meanwhile a frontier model easily deals with all that for you and gives you something that almost always just works, tailored to your exact requirements, with thorough test cases and validation that it works before handing it off to you. By the time you've hit roadblock number 4 out of 20 trying to adapt that article's code to fizzbar 2.0 because 1.9 was deprecated, the LLM would have been done.
nlawalker•9m ago
It’s #3, it’s a disclaimer, you’re helpful if it’s right and not to blame if it’s wrong.

When I see it, it always makes me want to respond “weird, I asked Claude too and it said <different answer>”.

leonidasv•2m ago
I don't see like that, for me it's like: here's an approximate answer. Is that sufficient or do you need a 100% accurate number? I can get this info for you, but I will have to stop everything I'm doing right now to figure it out or do it after I'm done with other priorities.

Sometimes the person asking just needs an estimate, a ballpark number. It doesn't really make a difference if it 17 or 18 support requests were received.

cush•2m ago
That’s important to know too though. Most people are still figuring out this new world and knowing where it breaks it pretty critical right now.
chaidhat•6m ago
I agree but not for the reasons the article states. If you say “an LLM made this” and are proven to be wrong, then you can divert blame to the LLM: this is bad as you don’t in the future try to improve yourself and verify the LLM.
txrx0000•4m ago
You compare LLMs to spellcheckers, but they are clearly very different in capability at this point. These agents are becoming more human-like and "just a tool" is no longer a fair characterization.

And even if you believe it's just a tool, a text generator that takes in and spits out the Internet, you should cite it like citing a website.

zkmon•4m ago
Personification an LLM has become a style or trend. Saying "Sol solved this problem for me" sounds great, indicating your honesty in giving credit to LLM. However this is wrong. You are "using" LLM to solve something, just like "using" a calculator to do some computation. Still the computation is done by you, not calculator. When you drove from X to Y, you did it, not the car.
cush•3m ago
I think people do this because they’re hedging and to be transparent

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