Comment by litexlang
6 months ago
Sorry for your story. In those days open source is REALLY HARD. Put your github link here and we will support your project by starring you and spreading your project. You definitely need to fight back.
6 months ago
Sorry for your story. In those days open source is REALLY HARD. Put your github link here and we will support your project by starring you and spreading your project. You definitely need to fight back.
Not the developer, but here is his repo:
https://github.com/sohzm/cheating-daddy
As an interviewer, I'm seeing a huge increase in proportion of candidates cheating surreptitiously during video interviews. And it's becoming difficult to suspect any wrong-doing unless you're very watchful by looking for academic responses to questions.
Why would anyone encourage building such a tool, I can't fathom.
When interviewers use LLM gargbage to filter out participants, expect candidates to do the same.
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It's pretty simple - people need to eat (and fulfill other basic needs, of course), to eat they need jobs, to get jobs they need to pass the interview. The hiring process in a lot of industries is heavily gamed at this point, to the point that not cheating is basically an automatic fail. So, if you want to eat, you cheat.
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Probably you've been out of the getting hired game but I had a glimpse of it last year: absolutely terrible.
When I started you'd send a mail to the company directly about a position, you'd go to the office, have a short interview, meet the team and they'll let you know. That's it.
Now it's 2 rounds of HR bs, 3 layers of tech interviews, then meet the CEO/CTO/etc. And then references and then a final "chat". And you still can get ghosted at literally any step, even at the final cozy chat, just because of "vibes".
And throw in companies sending you leetcode even before talking to you and you can see why one would want to get through the bs.
I still stand about my favourite approach for tech jobs: intro and tech chat (1-2h) about your resume, what you'll be doing and anything you might have questions about (no challenges or stupid riddles). Then, if everything goes smoothly, you get a 2 weeks contract and you are in probation. If everything goes well, you get another contract for 3-6 months (up to you to accept or not) and then you get converted to permanent if everything went well for both parties.
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I won't use it, but I do see it as somewhat symmetric. If the interviewers are using AI or expecting you to use AI for these tasks once you're on the job, then it doesn't seem completely immoral.
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there was already a paid and closed source application, i didnt create anything new
Get ready to start having some fun in your interviews. Start including things like redirection of focus through general statements, unrelated (and false) trivia, and misleading suggestions in your interview questions. Most of the humans you'd like to hire will ignore those or ask you about them.
Many LLMs will be derailed into giving entertainingly wrong answers:
https://arxiv.org/pdf/2503.01781
> unless you're very watchful by looking for academic responses to questions
I've noticed that a lot of the supposed hallmarks of "AI slop writing" (em-dashes, certain multisyllabic words, frequent use of metaphor) are also just hallmarks of professional and academic writing. (It's true that some of them are clichés, of course.)
It seems like most efforts to instruct people on how to "fight back against AI writing" effectively instruct them to punish highly literate people as well.
I think it's often still possible to tell human writing that uses some of the same tropes or vocabulary apart from AI writing, but it's very vibes-based. I've yet to see specific guidance or characterizations of AI writing that won't also flag journalists, academics, and many random geeks.
Honestly, why would you care? IF, and this is a big if, you are confident your interview process accurately assesses the abilities of candidates to carry out the role, then why would LLM assistance even matter? Are they not going to be allowed to use LLMs on the job?
This faux-outrage is just showing how broken the whole hiring process is in tech.
Stop giving people puzzles and just talk to them. If you're unable to evaluate if someone's a good fit for a role then you either need to learn more about effective interviewing, learn more about the role, or find someone else who is good at hiring/interviewing.
This has all been a long time coming.
Indeed, I am sympathetic to the author in this situation because I think open-source is important, but I don't approve of this software and don't want to affiliate with it by even starring it on GitHub.
Not really sure what I can do for the author but say "that sucks, bro".
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If a question you are asking in an interview can be answered immediately by an AI, then why hire for that position in the first place?
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