> Hiring managers would scroll through your e-mails and make judgment calls based on their content.
> Training an LLM on your e-mails and then feeding it questions is just a lower accuracy, more abstracted version of the above, but it's the same concept.
Its also one that once you have cheap enough computing resources scales better, because you don't need to assign literally any time from your more limited pool of human resources to it. Yes, baroque artisanal manual review of your online presence might be more “accurate” (though there's probably no applicable objective figure of merit), but megacorporate hiring filters aren't about maximizing accuracy they are about efficiently trimming the applicant pool before hiring managers have to engage with it.
And that accuracy is improving at breakneck speed. The difference between the various iterations of ChatGPT is nothing short of astounding. Their progress speed is understandable, they need to keep moving or the competition can catch up, but that doesn't necessarily mean that those improvements are out there or within reach. And yet, every time they release I can't help but being floored by the qualitative jump between the new version and the previous one.
> Training an LLM on your e-mails and then feeding it questions is just a lower accuracy, more abstracted version of the above, but it's the same concept.
Its also one that once you have cheap enough computing resources scales better, because you don't need to assign literally any time from your more limited pool of human resources to it. Yes, baroque artisanal manual review of your online presence might be more “accurate” (though there's probably no applicable objective figure of merit), but megacorporate hiring filters aren't about maximizing accuracy they are about efficiently trimming the applicant pool before hiring managers have to engage with it.