@tbpn: At Every, all employees use agents + have unlimited token budgets. Since GPT-3, they've increased headcount from 4 to 3…

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At Every, all employees use AI agents with unlimited token budgets, and headcount has grown from 4 to 30 since GPT-3, suggesting that AI automation creates more human work rather than reducing it.

At Every, all employees use agents + have unlimited token budgets. Since GPT-3, they've increased headcount from 4 to 30. "If you're actually on the frontier like we are," @danshipper said, "it seems like there's more human work to do than ever." https://t.co/3KJMiGxYtc
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At Every, all employees use agents + have unlimited token budgets. Since GPT-3, they’ve increased headcount from 4 to 30.

“If you’re actually on the frontier like we are,” @danshipper said, “it seems like there’s more human work to do than ever.” https://t.co/3KJMiGxYtc

Dan Shipper 📧 (@danshipper): We’ve automated every single thing we can @every with AI agents.

And yet there’s way more human work to do than ever. We’ve gone from 4 -> 30 human employees since GPT-3.

I wrote a report on the structural reasons: how AI makes expert competence cheap, why that drives up demand

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@AriX: Loved this piece.

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Dan Shipper reports that despite automating everything possible with AI agents, his company has grown from 4 to 30 human employees since GPT-3, arguing that AI makes expert competence cheap and drives up demand for human work.