Earlier quoted context omitted.
> So why should I keep doing what I'm doing when it's getting me nowhere? Why shouldn't I switch to an automated "shotgun" approach that applies me to as many jobs as possible to which I vaguely fit the requirements? I’m in a big semi-private Slack where people have been discussing CS application strategies for a long time (since before ChatGPT). The desperate people usually go through an arc where they try automated…
This is just the first pass. There are second pass strategies that could improve and are even more insidious: - review your generated CV pre-submission, make changes, do this a lot. Eventually you'll have a training set to fine-tune the model - throw 100-200 CVs at a job and see what sticks. That's your training set for that job. Now you have tuned the hiring manager's preferences. Follow up with your actual CV. Side…
Honestly, I think people vastly overestimate how much hiring managers use AI for filtering. Blaming AI for rejections has become a common coping mechanism because it’s easier to think that a broken AI filter rejected you instead of the company making a valid decision to go with someone else.
> throw 100-200 CVs at a job and see what sticks
If your experience wasn’t good enough the first 10 times, doing another couple hundred rounds of LLM word manipulation isn’t going to make it better.