Academic @yoavgo argues the strategy treats skilled engineers as fungible.
@yoavgo @ArneKoehn https://www.wired.com/story/mark-zuckerberg-meta-employee-meeting-interrupt-ai/
this sounds to me like a "data labeling" role, especially if they are not allowed to automate it. so at first glance it does sound wasteful/silly. but after thinking a while, i do think it makes a lot of sense from the company perspective: why fire and re-hire when you have suitable talent in-house?
Users appreciate Meta keeping AI data labeling talent in-house because it supports effective large-scale operations.
@Skiminok @ArneKoehn thanks! interesting read. i think it aligns with what i wrote above: data labeling at scale, which at first seems an absurd role to give to SWEs, but after some further reflection makes a lot of sense from a managerial perspective that treats workers as resources (which they are)
@yoavgo @ArneKoehn https://www.wired.com/story/mark-zuckerberg-meta-employee-meeting-interrupt-ai/
@Skiminok @ArneKoehn also, its not "literally a gulag"...
@Skiminok @ArneKoehn thanks! interesting read. i think it aligns with what i wrote above: data labeling at scale, which at first seems an absurd role to give to SWEs, but after some further reflection makes a lot of sense from a managerial perspective that treats workers as resources (which they are)
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