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原始链接: https://news.ycombinator.com/item?id=43577490

Hacker News上的一篇讨论围绕一篇文章展开,文章讲述了一个软件工程师似乎使用AI伪造经验的故事。评论者们就其影响展开了辩论。一些人认为简历粉饰并非新鲜事,而另一些人则指出AI能够制造更令人信服的谎言。一位用户讲述了在电话面试中AI作弊拙劣尝试的经历,强调了答案的泛泛而谈,缺乏项目细节。人们质疑了带回家项目(take-home projects)的价值,并担心AI能够轻松完成它们。反驳意见指出,可以使用带回家项目作为深入面试的基础,通过深入的问题来揭露AI的使用。一位评论者认为,明目张胆的撒谎比使用AI准备更令人担忧。最后,一位用户幽默地将这种经历比作在印度面试。

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  • 原文
    Hacker News new | past | comments | ask | show | jobs | submit login
    Interviewing a software engineer who prepared with AI (kapwing.com)
    15 points by justswim 2 hours ago | hide | past | favorite | 6 comments










    I don't know how this is something related to AI - you could polish and embellish your resume before LLMs too, I'm fairly sure. I guess this gets the clicks.

    Not being to remember small details about certain projects is also perfectly fine for people who have worked for more than a couple of years. Unless you can discover a pattern of lying like the author supposedly did then I would just be perfectly fine moving on to another topic.



    An interesting story!

    I've also had an AI cheater during phone screen, but they were pretty clumsy... A question of form "You mentioned you used TechX on your resume, tell me more what you did with it" was answered with a long-winded but generic description of TechX and zero information about their project or personal contribution.

    Another thing that I can take away from that is "take home project" is no longer a good idea in AI times - the simple ones that candidates can do in reasonable time is too easy for AI, and if we do realistic system, it's too hard for honest candidates.



    > Another thing that I can take away from that is "take home project" is no longer a good idea in AI times

    Take-home projects were never meant to be evaluated in isolation.

    It was common for candidates to have their friends review the take-home or even do it for them.

    You had to structure the take-home so the candidate could then explain their choices to you and walk you through their thought process. When you got a candidate who couldn't answer questions about their own submission, you thanked them for their time and sent the rejection later that evening.



    IMO take home projects still have value, provided you do a comprehensive follow-up interview with their project (which is the _actual_ interview, I feel). Those who just used AI on it are far less likely to talk about any tradeoffs, do deep dives, or even simple extensions of the project in the follow-up interview.


    It says "Prepared with AI" in the title, but the article is about someone who blatantly lied about their past experience in the interview.

    The AI was used as a tool to generate false stories, but that's not what I assumed when I read the title. It's common for people to "prepare" with LLMs by having them review resumes and suggest changes, but asking an LLM to wholesale fabricate things for you is something else entirely.

    I do think this experience will become more common, though. There's an attitude out there that cheating on interviews is fair or warranted as retaliation for companies being bad at interviewing. In my experience, the people who embrace cheating (with or without LLMs) either end up flaming out of interview processes or get disappointed when they land a job and realize the company that couldn't catch their lies was also not great at running a business.



    Sounds like all the interviews I do in india.






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