Nah its just part of the MLM scheme that is “AI”. Its useful because they said it would be useful. Its worth the investment because it cost a lot of money. Once you realize that all these companies care about is revenue and “growth” then it all clicks. It doesnt have to work or be profitable, it just needs to look good to investers.
They will even go as far as firing loads of workers and saying publicly that they “replaced them with AI” while in reality those workers were just doing something that the company was willing to sacrifice. They just replaced something with nothing to make it look like their magic AI can actually do things.
The “boy genius” story is an example of Silicon Valley’s storied “reality distortion field,” pioneered by Steve Jobs. Like Jobs, Zuck is a Texas marksman, who fires a shotgun into the side of a barn and then draws a target around the holes. Jobs is remembered for his successes, and forgiven his (many, many) flops, and so is Zuck. The fact that pivot to video was well understood to have been a catastrophic scam didn’t stop people from believing Zuck when he announced “metaverse.”
Zuck lost more than $70b on metaverse, but, being a boy genius Texas marksman, he is still able to inspire confidence from credulous investors. Zuck’s AI initiatives generated huge interest in Meta’s stock, with investors betting that Zuck would find ways to keep Meta’s growth going, despite the fact that AI has the worst unit economics of any tech venture in living memory. AI is a business that gets more expensive as time goes on, and where the market’s willingness to pay goes down over time. This makes the old dotcom economics of “losing money on every sale, but making it up in volume” look positively rosy.
suits have been replacing long term essential employees with outsourced trash even before in name of global redundancy and efficiency. now they will just the ai buzz word to hide behind.
Yeah and what it should mean is the same productivity (or slightly higher) over fewer hours worked. So everyone can get more of their lives back to go be happy and spend time with their friends and families. Or literally whatever else people would rather being doing besides working all the damn time.
This is the material explanation. They expect increased productivity and therefore higher output and therefore higher profits from the same workforce. Not necessarily to downsize. Downsizing or upsizing would be dictated by a combination of the realized productivity gains and the uptake of their products by the market.
Frankly, with the garbage Microsoft is producing these days, and the rate at which the quality, for lack of a better word, is degenerating, I’m starting to consider if LLM slop might actually be less worse…
Right now at least, AI is being more of a headache than anything in coding. Microsoft itself was responsible for one such gaffe in May, as an actual coder had to tell the AI to fix an error, again and again, as each time it’d make a different mistake
I use ChatGPT to write code fairly often. Because I don’t know how. ChatGPT never gets it right the first time, usually doesn’t get it right by the 10th try, and will never stop going down a robot hole of inaccuracy until I give up. The only success I have had in recent memory was getting some custom commands written in Karabiner for my desktop mice.
Its to use the employees to train AI to replace them and they know it.
Nah its just part of the MLM scheme that is “AI”. Its useful because they said it would be useful. Its worth the investment because it cost a lot of money. Once you realize that all these companies care about is revenue and “growth” then it all clicks. It doesnt have to work or be profitable, it just needs to look good to investers.
They will even go as far as firing loads of workers and saying publicly that they “replaced them with AI” while in reality those workers were just doing something that the company was willing to sacrifice. They just replaced something with nothing to make it look like their magic AI can actually do things.
Cory Doctorow put it better than i ever could: https://pluralistic.net/2025/05/07/rah-rah-rasputin/
The whole post is good but i will just quote this section.
Ai definitely can’t replace many (if any) microsoft employees.
suits have been replacing long term essential employees with outsourced trash even before in name of global redundancy and efficiency. now they will just the ai buzz word to hide behind.
I think shouldn’t is better to say than can’t. They are definitely going to try.
Their hope is probably that AI can let current employees bear a greater workload so they can downsize.
Ding! Any gains in productivity will mean more work for less people.
Anyone who can’t see this coming - I have several bridges for sale.
Yeah and what it should mean is the same productivity (or slightly higher) over fewer hours worked. So everyone can get more of their lives back to go be happy and spend time with their friends and families. Or literally whatever else people would rather being doing besides working all the damn time.
This is the material explanation. They expect increased productivity and therefore higher output and therefore higher profits from the same workforce. Not necessarily to downsize. Downsizing or upsizing would be dictated by a combination of the realized productivity gains and the uptake of their products by the market.
Microsoft support was already mostly useless. So, yeah, a useless AI probably could replace that, but it would also probably be more expensive.
Not even the guys who call me on the phone to tell me that I have a virus on my computer?
Frankly, with the garbage Microsoft is producing these days, and the rate at which the quality, for lack of a better word, is degenerating, I’m starting to consider if LLM slop might actually be less worse…
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Sam Altman makes money from people believing this.
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Right now at least, AI is being more of a headache than anything in coding. Microsoft itself was responsible for one such gaffe in May, as an actual coder had to tell the AI to fix an error, again and again, as each time it’d make a different mistake
I use ChatGPT to write code fairly often. Because I don’t know how. ChatGPT never gets it right the first time, usually doesn’t get it right by the 10th try, and will never stop going down a robot hole of inaccuracy until I give up. The only success I have had in recent memory was getting some custom commands written in Karabiner for my desktop mice.
What other LLMs have you tried?
Try this and get back to me.
Lol