There are a sizeable number of Meta employees that have jobs due to Zuck’s sheer generosity and the fact that he cares about his public image and laying them off in service of Meta’s bottom line won’t look good.
Elon firing half of Twitter just normalized layoffs to such an extent that it’s considered par for the course now, of course macroeconomic conditions have changed but layoffs were always a bit taboo in tech.
To all the sheep at Meta who weren’t sacrificed because Zuck thought it would look too bad on him, how do you know your game is up at Meta ?
>>Elon firing half of Twitter just normalized layoffs to such an extent that it’s considered par for the course now
The site was broken for eternity after that, but people continued to use it as it was the only source of real time news. In many ways its not the old Twitter at all.
Now the head counts dont even matter because its all agents writing the code, reviewing the code, and deploying the code.
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.
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.
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.
Users are 60% bots, no reason staff shouldn't match those numbers.
There are a sizeable number of Meta employees that have jobs due to Zuck’s sheer generosity and the fact that he cares about his public image and laying them off in service of Meta’s bottom line won’t look good.
Elon firing half of Twitter just normalized layoffs to such an extent that it’s considered par for the course now, of course macroeconomic conditions have changed but layoffs were always a bit taboo in tech.
To all the sheep at Meta who weren’t sacrificed because Zuck thought it would look too bad on him, how do you know your game is up at Meta ?
>>Elon firing half of Twitter just normalized layoffs to such an extent that it’s considered par for the course now
The site was broken for eternity after that, but people continued to use it as it was the only source of real time news. In many ways its not the old Twitter at all.
Now the head counts dont even matter because its all agents writing the code, reviewing the code, and deploying the code.
Keyword there being 'had'?
It's coming for us all.. sooner or later.
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.
I do not disagree with you, but I think they will try to do it anyway
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.
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.
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