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Gumroad Says That It's Now Spending as Much on Human Employees as AI Tokens (officechai.com)
tracerbulletx 1 days ago [-]
Weird move to release this for a company that has mostly artists as customers but they were already kind of persona non grata for other reasons.
croes 1 days ago [-]
> Gumroad’s official account posted that its support SLA had dropped to 15 minutes, down from 24 hours earlier this year. Lavingia added that the team is currently averaging two minutes per response, a number that would have been unthinkable for a company running a traditional support desk.

That are quantities, what about the quality? Are the customers satisfied or do they reopen nee tickets often?

Reminds me of quick math

nekooooo 1 days ago [-]
they never fixed my billing issue, just autoresponded until i gave up and issued a chargeback.
matneyx 2 days ago [-]
No, sir, I don't like it.
weezing 1 days ago [-]
Why do they disclose this thinking it's good? It's a reverse advertisement.
orsorna 1 days ago [-]
This guy is kind of a tool.

The reason why in 2021 that many of the wages were contractors is that he fired and rehired a lot of them to satisfy that arrangement.

Last year he worked at DOGE and wrote a sobering blogpost about getting let go from there.

Safe to say he doesn't really care about what people thinks as long as he gets cash.

smcg 1 days ago [-]
I don't know either. it also seems like attaching a big "hack me!" sign to their back.
bellowsgulch 1 days ago [-]
Huh, I guess if you don’t have human employees you don’t need human customers. Thanks for the heads up!
Ancalagon 1 days ago [-]
from the looks of their site, they dont have any
whalesalad 1 days ago [-]
They also laid everyone off and their spend went from 400k to 40k so… this feels like a baity post.
smcg 1 days ago [-]
this is very obvious inside the article, from both text and charts. you could say it's a baity headline.
ETH_start 1 days ago [-]
Every dollar spent on AI is roughly speaking a dollar spent on the human labor that produces that AI. But I imagine there is a ceiling to AI use: how much inference a small tightly integrated team, or a lone founder, can apply productively.

If we do a mental exercise where we imagine every tech company follows Gumroad's trajectory until it is down to an executive team that directs the AI agents, we would end up with an economy where most people work or co-own companies with a handful of employees/partners working closely together — or just a solo founder working on their own — and each company employs a massive number of AI agents that enable it to match the productivity of a large pre-AI corporation.

reinitctxoffset 1 days ago [-]
You can't do real science in that setting, it's a confirmation bias machine. The social network feed ranking model collapse is coming from inside the company now.
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