sshine reply above is coming from a very conflictual mindset. "Can I still use AI and not be caught? Is it cheating? Does it matter if it's cheating?"
I think that's a bit like lying on your first date. If you're looking to score, sure, it's somewhat unethical but it works. But if you're looking for a long term collaboration, _and_ you expect to be interviewed by several rounds of very smart people, then you're much better off just going along.
It’s not about being wrong, it’s about being ironic. We have LLMs shoved down our throats as this new way to communicate—we are encouraged to ask them to make our writing “friendlier” or “more professional”—and then one of the companies creating such a tool asks the very people most interested in it to not use it for the exact purpose we’ve been told it’s good at. They are asking you pretty please to not do the bad thing they allow and encourage everyone to do. They have no issue if you do it to others, but they don’t like it when it’s done to them. It is funny and hypocritical and pulls back the curtain a bit on these companies.
It reminded me of the time Roy Wood Jr visited a pro-gun rally where they argued guns make people safe, while simultaneously asking people to not carry guns because they were worried about safety. The cognitive dissonance is worth pointing out.
I have read that people are getting more selfish[1], but it still shocks me how much people are willing to push individualism and selfishness under the guise of either, "Well it's not illegal" or "Well, it's not detectable".
I think I'm just very much out of tune with the zeitgeist, because I can't imagine not going along with what's a polite request not to use AI.
I guess that puts me at a serious disadvantage in the job market, but I am okay with that, I've always been okay with that. 20 years ago my cohort were doing what I thought were selfish things to get ahead, and I'm fine with not doing those things and ending up on a different lesser trajectory.
But that doesn't mean I won't also air my dissatisfaction with just how much people seem to justify selfishness, or don't even regard it as selfish to ignore this request.
[1] https://fortune.com/2024/03/12/age-of-selfishness-sick-singl...
The optics are just bad. Stand behind your product, or accept that you will be fighting ridicule and suspicion endlessly.
In a sense, they poisoned the well and don't want to drink from it now. Looking at it from this perspective justifies (in the eyes of some people at least) said cheating. Something something catalytic converter from the company truck.
Sorry, the thought process of thinking that using an LLM for a job application, esp. for a field which requests candid input about one's motivation is acceptable, is beyond me.
Observation/Implication/Opinion:
Think reciprocal forces and trash TV ethics in both, closed and open systems. The consequences are continuously diminished AND unvarying returns. Professionally as well as personally, in all parties involved. Stimulating, inspiring, motivating factors as well as the ability to perceive and "sense" all degrade. But compensation and cheating continue to work, even though, the quality of the game, the players and their output decreases.
Nothing and nobody is resilient "enough" to the mechanism force - 'counter'-force so you better pick the right strategy. Waiting/Processing for a couple of days, lessons and honest attempts yields exponentially better results than cheating.
Companies should beware of this if they expect results that are qualitatively AND "honestly" safe & sound. This has been ignored in the past decades, which is why we are "here". Too much work, too many jobs, and way too many enabling outs have been lost almost irreversibly, on the individual level as well as in nano-, micro-, and macro-economics.
Applicants using AI is fine but applicants not being able to make that output usefully THEIRS is a problem.
There are two backwards things with this:
1) You can't ask people to not use AI when careful, responsible use is undetectable.
It just isn't a realistic request. You'll have great replies without AI use and great replies with AI use, and you won't be able to tell whether a great reply used AI or not. You will just be able to filter sludge and dyslexia.
2) This is still the "AI is cheating" approach, and I had hoped Anthropic to be thought leaders on responsible AI use:
In life there is no cheating. You're just optimizing for the wrong thing. AI made your homework? Guess what, the homework is a proxy for your talent, and it didn't make your talent.
If AI is making your final product and you're none the wiser, it didn't really help you, it just made you addicted to it.
Teach a man to fish...
If I ask people not to use AI on a task where using AI is advantageous and undetectable then I'm going to discriminate against honest people.
LLMs are essentially translation tools. I use them to translate my picture-thinking into words, just like others might use spell-checkers or dictation software. They don't change my ideas or insights - they just help me express them in a neurotypical-friendly format.
The irony here is that Anthropic is developing AI systems supposedly to benefit humanity, yet their application process explicitly excludes people who use AI as an accessibility tool. It's like telling someone they can't use their usual assistive tools during an application process.
When they say they want to evaluate "non-AI-assisted communication skills," they're essentially saying they want to evaluate my ability to communicate without my accessibility tools. For me, AI-assisted communication is actually a more authentic representation of my thoughts. It's not about gaining an unfair advantage - it's about leveling the playing field so my ideas can be understood by others.
This seems particularly short-sighted for a company developing AI systems. Shouldn't they want diverse perspectives, including from neurodivergent individuals who might have unique insights into how AI can genuinely help people think and communicate differently?
I believe it won't change the outcomes that much. For example, on coding, an AI can't teach someone to program or reason in the spot, and the purpose of the interview never was to just answer the coding puzzle anyway.
To me it's always been about how someone reasons, how someone communicates, people understanding the foundations (data structure theory, how things scale, etc). If I give you a puzzle and you paste the most optimized answer with no reasoning or comment you're not going to pass the interview, no matter if it's done with AI, from memory or with stack overflow.
So what are we afraid of? That people are going to copy paste from AI outputs and we won't notice the difference with someone that really knows their stuff inside out? I don't think that's realistic.
Also, I think that the people who are saying it doesn't matter if they use AI to write their job application might not realize that:
1. Sometimes, application questions actually do have a point.
2. Some people can read a lot into what you say, and how you say it.
Full quote here; seems like most of the comments here are leaving out the first part.
This feels similar to asking devs to only use vim during a coding challenge and please refrain from using VS Code or another full featured IDE.
If you know, and even encourage, your employees to use LLMs at work you should want to see how well candidates present themselves in that same situation.
Maybe I read that wrong, but I suspect they are self-selecting themselves out of some pretty large talent pools, AI or not. But that application note is completely consistent with what they espouse as their core values.
Anthropic interview is nebulous. You get a coding interview. Fast paced, little time, 100% pass mark.
Then they chat to you for half an hour to gauge your ethics. Maybe I was too honest :)
I'm really bad at the "essay" subjects vsm the "hard" subjects so at that point I was dumped.
Disclaimer: I work at Anthropic but these views are my own.
As someone who has recently applied to over 300 jobs, just to get form letter rejections, it's really hard to want to invest my time to hand-write an application that I know isn't even going to be read by a human.
If so, that's bad for their mission and marketing department, but it just puts them in the realm of a tobacco company, which can still be quite profitable so long as they don't offer health care insurance and free cigarettes to their employees :)
I see no conflict of interest in their reasoning. They're just trying to screen out people who trust their product, presumably because they've had more experience than most with such people. Who would be more likely to attract AI-augmented job applicants and trust their apparent augmented skill than an AI company? They would have far more experience with this than most, because they'd be ground zero for NOT rejecting the idea.
« The process we use to asses candidates relies on measuring the candidate's ability to solve trivia problems that can easily be solved by AI (or internet search or impersonation etc). Please refrain from using such tools until the industry come up with a better way to assess candidates. »
Actually, since the whole point of those many screening levels during hiring is to avoid the cost of having long, in depth discussions between many experts and each individual candidates, probably IA will be the solution that makes the selection process a bit less reliant on trivia quizz (a solution that will, no doubt, come with its own set of new issues).
So lacking any other ideas for a sample project I just started implementing Fizzbuzz. And IntelliJ started auto suggesting the implementation. That seems more problematic than helpful, so it was a good thing I didn’t end up needing it.
Write a program that describes the number of SS's in "Slow Mississippi bass". Then multiply the result by hex number A & 2.
Question 2:
Do you think your peers will haze you week 1 of the evaluation period? [Yes|No]
There are a million reasons to exclude people, and most HR people will filter anything odd or extraordinary.
https://www.youtube.com/watch?v=TRZAJY23xio&t=1765s
Hardly a new issue, =3
I don’t mind if applicants use it in our tech round but if they do I question them on the generated code and potential performance or design issues (if I spot any) - but not sure if it’s the best approach (I mostly hire SDETs so do a ‘easy’ dev round with a few easy/very easy leet code questions that don’t require prep)
If graphic design A can design on paper better that B, but B can design on the computer better than A, paper or computer, why would you hire A?
Anyway, bring back in-person interviews! That's the only way to work around this Pandora's Box they themselves opened.