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Much of AI "productivity gains" come from managers implicitly trusting an LLM to do a good job, and suspending the onerous micromanagement that humans employees get subjected to.

You can do that without paying Anthropic a single penny. It just requires letting the experts you hired do their jobs.

productpicnic.beehiiv.com/p/tr…

#LLM #AI #tech #UXDesign #UX #SoftwareDevelopment #USerresearch

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Pavel A. Samsonov
@human3500 @nazokiyoubinbou We've certainly seen companies (Amazon, Meta, Microsoft) cut deep in the middle management layer. Meta set 50 reports per manager as a goal for their new AI org, before backpedaling rapidly as soon as they realized how stupid of an idea that was...
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Human 3500
@nazokiyoubinbou
But if there are fewer people to manage, why would the company need so many managers? There's the real savings to be had.
@PavelASamsonov
in reply to Pavel A. Samsonov

”There’s an interesting side effect to our current stage of the LLM hype cycle: in the race for maximum agility, organizations have given it functionally unlimited trust. Ten years ago, you wouldn’t dream of giving everyone in the company access to Github (ask me about filing Jira tickets to change a static string on a website); today, Claude is trusted to run roughshod over the codebase.”

Really hit the nail on the head! Some kind of blindness comes with size?🤔

This entry was edited (2 weeks ago)
in reply to Pavel A. Samsonov

Thanks for the blog post. Even though I'm not designing for external clients, I program a lot of tools for in-house use. And reading your post made me realise that trust is also important in my area: I wouldn't want new hires to send me LLM-generated code. I want them to learn the code base and send me human-written code. That way I can trust them more because I know that they have actually looked at the existing code, learned from it and maybe even criticised it.

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