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Thought this was interesting. Across 160 teams of researchers, just about all failed to make good life outcome predictions on things like GPA, evictions, layoffs, and others. Data followed 4.5k families across 15 years, with 13k features (varied over time). Haven't looked at it directly yet, but will be turning the docs and data inside out... In the meantime, authors claim this as showing the limits of ML. Oh, and it's published in PNAS, so you know there's some big publication energy there.
https://www.pnas.org/content/117/15/8398
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You’re not wrong to question it. Some roles are posted for future pipelining or even internal policy—but others may be perpetually open due to high turnover or unrealistic expectations. I’d recommend checking if there are recent hires at that company in that role on LinkedIn. Sometimes that’s the real clue.
A lot of them are a mix. Some roles are urgent, others are more about visibility or building a talent pipeline. Recruiters often use them to attract passive candidates even if immediate hiring isn’t happening.