Comment by re-thc
11 hours ago
> but something has changed
i.e. we finally decided to audit head count from post covid-era.
> paired with smaller and flatter teams
i.e. management was axed
11 hours ago
> but something has changed
i.e. we finally decided to audit head count from post covid-era.
> paired with smaller and flatter teams
i.e. management was axed
you don't think LLM impacts on productivity were a factor at all?
If LLMs really multiply productivity, why would you fire people and handicap the boost?
I have 100 people that can now do the work of 200 people thanks to a new tool.
How is the logical response to fire half of them and bring my productivity back to where it was before?
Because there isn't an unlimited amount of productive work to be done. Sure, a bowling ball factory in a world that demands unlimited bowling balls should take the productivity multiplier AND retain the employees, because they ought to make all the bowling balls they possibly can.
But CashApp jira tickets are not a bowling ball factory in a world with unlimited bowling ball demand. At a certain point, you're just paying people to sit around, or even worse, pretend they're busy.
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> If LLMs really multiply productivity, why would you fire people and handicap the boost?
Presumably, because some of these areas are cost centers versus profit generating.
He explains the rationale, smaller teams work faster.
we're already seeing that the intelligence tools we’re creating and using, paired with smaller and flatter teams, are enabling a new way of working which fundamentally changes what it means to build and run a company. and that's accelerating rapidly.
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Demand inelasticity.
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I would say the vast majority of people in this thread don't believe that this is related to AI at all, other than as a pretext. It's kind of incredible.