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In the age of AI, GPTs, LLMs, etc, CVs are completely over as they are now to be assumed to be generated. Only real world projects (not toy demos), years of ex
by colesantiago 3y ago
In the age of AI, GPTs, LLMs, etc, CVs are completely over as they are now to be assumed to be generated.
Only real world projects (not toy demos), years of experience, and other particularly interesting (but relevant) hobbies would work although I'm not sure they count here. I've now seen companies raising their ask for Masters - PhDs for SWEs due to this demand.
What works best unfortunately is being hired/acquired by FAANG, working at hedge fund, and or a degree at a prestigious elite universities (top 0.01%) to rise above the pile.
For tech, now that there is a flood of FAANG employees from recent layoffs, the job market is only going to get tougher in tech on a herculean scale.
- nradov 3y agoWhy would any hiring manager care whether a CV is AI generated? As long as the CV is accurate, the tool used to write it is irrelevant.
- colesantiago 3y ago> Why would any hiring manager care whether a CV is AI generated? As long as the CV is accurate, the tool used to write it is irrelevant. How do you know if the CV is accurate or not? Multiply these CVs by hundreds and you will introduce software to sift through fake AI generated CVs, or not bother deal with them at all as most hiring managers are extremely time constrained. By now, I'm assuming that all hiring software have ATS systems by now that does this.
- nradov 3y agoA hiring manager can't know whether a CV is accurate, but the tool used to generate it is irrelevant to that. There is no software which can reliably detect whether a document was generated by an LLM. Most tech companies now use background check services to verify educational credentials and previous employment before onboarding new hires.
- jmye 3y ago> How do you know if the CV is accurate or not? What does this have to do with AI? People have lied on their resumes long before ChatGPT existed.
- colesantiago 3y agoWell it has everything to do with AI, as this will make the application process completely worse, fake CVs and cover letters produced at scale faster than before with little effort which does not help the sifting process for hiring managers. You might as well (as I suggested before) not rely on CV / cover letters as a signal at all, and look at other means such as real world projects (with working links) that people use.
- nradov 3y agoThat's just silly. Creation and submission of fake CVs was never an obstacle before. It was always super easy, and AI changes nothing significant. The reason most job applicants are fairly honest is that any major lies are likely to be discovered during the interview and background check process.
- colesantiago 3y agoThe point is this can be done at scale, and this is a real problem for companies that have lots of 'candidates'. So my argument is that CVs is no longer a reliable indicator anymore.
- nradov 3y agoThat is not a valid point. Candidates have always been able to submit fake CVs to many companies. Most of them don't do so, nor will they in the future.
- colesantiago 3y ago> That is not a valid point. Scale and ease of effort is a valid and relevant point as it is easier than before for cover letters and CVs to be generated they are as good as dead for hiring managers. To solve this, do not even consider the CV to begin with and consider looking at candidate's real world projects, bounties and paid PRs. like for example tinycorp [1] or comma.ai [2] [2] Is similar to a take home except the challenge is public and the deliverable is evaluated on an error score which lower is better. Solutions will be different to other candidates and the best ones will put in the effort and have a lower error score, it is then you can decide to spend your time interviewing them. I would even argue that this is even more effective than an ATS that random candidates are sending their fake CVs and cover letters through. [1] https://tinygrad.org/ https://tinygrad.org/ [2] https://github.com/commaai/calib_challenge https://github.com/commaai/calib_challenge