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Discussion Sentiment

50% Positive

Analyzed from 233 words in the discussion.

Trending Topics

#pay#bills#companies#won#labs#money#able#profit#unemployed#masses

Discussion (6 Comments)Read Original on HackerNews

mrweasel•about 1 hour ago
Users are 60% bots, no reason staff shouldn't match those numbers.
HardwareLust•37 minutes ago
Keyword there being 'had'?
q8zd3•about 1 hour ago
It's coming for us all.. sooner or later.
skrellm•37 minutes ago
And who is going to pay the bills for that?

No AI companies were able to make profit so far, and unemployed masses surely won't buy expensive ChatGPT subscriptions.

Will AI labs make profit from AI using companies? Hardly, unemployed masses can't and won't buy their products either, therefore they won't be able to afford even more expensive ChatGPT Enterprise subscriptions. (For crying out loud, even big corps like Uber can't pay all their AI bills.)

And if AI labs have no profits, how are they supposed to pay the hyperscalers for computing capacity? They will run out of investor money pretty soon.

And if hyperscalers can't rent out their data centers to AI labs, how are they supposed to pay for the electricity (gas/diesel/etc.) and water bills and repay their already enormous debts?

I honestly don't see how replacing all workers with AI could be profitable at all.

2sk21•39 minutes ago
Sounds like cargo cult approach to engineering management (to use Feynman's metaphor). It's interesting to see that even Meta is subject to this. When I worked at IBM (round about 2014), management decided to adopt the Spotify organizational system with squads, tribes and guilds - but nothing really changed. We still wrote code much the same way and delivered at the same rate. Except with more organizational overhead.
renegade-otter•31 minutes ago
The early dot com billionaires have so much money that they can keep making brain-dead decisions and get away with it - they have money printers to save them.

Their companies perfected the addiction/extraction economy.