I think there is a bit of wider social norms piece missing as well on AI use in knowledge work context. Someone forwarded an enormous amount of text over teams the other day at work. From someone (bless her) that always means well but usually averages about one spelling mistake per word and rarely goes over 20 words per message. Clearly copy paste chatgpt. For say hn gang that thinks in terms of context shifts, infor…
Seems AI has made it cheap to produce information but now you have to spend more time parsing the information. And it’s now the less competent/useful people spending less time producing more information with the more useful people spending more of their valuable time parsing that information. This is why I’m skeptical of LLMs ever becoming a net benefit in most organizations.
Meta's embrace of AI is making its employees miserable
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Re: Meta's embrace of AI is making its employees miserable
#402Here's how things play out: Zuck gets some idea, he's surrounded by a bunch of yes men who say "yes, this will definitely change the world", then it turns into this optics game of kissing the ring. You ask yourself "how could they blow 80B on the Metaverse like that", this is how. DON'T JOIN META, no matter how fast the recruiters reply to your messages. No matter how cool the work sounds (the managers lie in team ma…
> DON'T JOIN META, no matter how fast the recruiters reply to your messages. No matter how cool the work sounds (the managers lie in team matching). There's a reason why the average tenure is I would be surprised if I even got through the interview hellscape that these companies put people through. I'm not interested in talking about algorithms and things that no dev in my entire decade+ time on the industry ever tal…
And what's the alternative? Quizzing people on some random C# framework methods? The "I don't use algos in a day to day job" argument has been around forever, but nobody making it ever proposes a better filter.
Re: Meta's embrace of AI is making its employees miserable
#403"Many workers immediately revolted. In online comments, they blasted the tracking as a privacy violation, ..." “How do we opt out?” - Meta employee Poetic justice, or "dogfooding"
You might as well blame the entire US population for certain problematic actions of the president.
Re: Meta's embrace of AI is making its employees miserable
#404Earlier quoted context omitted.
You have to call it out when you see it, politely and charitably. "Hey, thanks! This is a great overview, and I actually asked ChatGPT before asking here and got a lot of the same information, but what I'm really looking for is..."
"If I wanted to receive copy paste from a bot I wouldn't message you, why are you trying to sneak this in?" You reminded me of American colleagues that lie and say things are good when they are bad lol. Unable to be straight to the point. You're upset at the waste of time yet you thank them?
Re: Meta's embrace of AI is making its employees miserable
#405"Many workers immediately revolted. In online comments, they blasted the tracking as a privacy violation, ..." “How do we opt out?” - Meta employee Poetic justice, or "dogfooding"
Most Meta employees do not support invasive features without opt outs in their products. Some try to argue against it. But ultimately there is only person who gets to decide. You might as well blame the entire US population for certain problematic actions of the president.
Re: Meta's embrace of AI is making its employees miserable
#406Earlier quoted context omitted.
Seems AI has made it cheap to produce information but now you have to spend more time parsing the information. And it’s now the less competent/useful people spending less time producing more information with the more useful people spending more of their valuable time parsing that information. This is why I’m skeptical of LLMs ever becoming a net benefit in most organizations.
Well, you can use LLMs to parse LLM-generated slop. They make nice summaries. I have taken this approach to people who send me obviously generated LLM text; I simply run it through an LLM, paste the summary, and ask them "Is this an accurate summary?" and then I ask the for their original prompt.
Original prompt: "Please rewrite this information in a nice format for my insufferable asshole colleague".
Re: Meta's embrace of AI is making its employees miserable
#407"Many workers immediately revolted. In online comments, they blasted the tracking as a privacy violation, ..." “How do we opt out?” - Meta employee Poetic justice, or "dogfooding"
Most Meta employees do not support invasive features without opt outs in their products. Some try to argue against it. But ultimately there is only person who gets to decide. You might as well blame the entire US population for certain problematic actions of the president.
Re: Meta's embrace of AI is making its employees miserable
#408You do have a choice, and by staying you are making it. Stop playing at being a victim.
Re: Meta's embrace of AI is making its employees miserable
#409"Many workers immediately revolted. In online comments, they blasted the tracking as a privacy violation, ..." “How do we opt out?” - Meta employee Poetic justice, or "dogfooding"
It's not like Meta/Facebook ever had moral concerns about privacy violations or surveillance (or many other things).
Re: Meta's embrace of AI is making its employees miserable
#410Earlier quoted context omitted.
Well, you can use LLMs to parse LLM-generated slop. They make nice summaries. I have taken this approach to people who send me obviously generated LLM text; I simply run it through an LLM, paste the summary, and ask them "Is this an accurate summary?" and then I ask the for their original prompt.
LLMs are great at decompression [1] [1] https://jabde.com/2026/02/02/utilizing-llms-as-a-data-decomp...
https://www.vaines.org/posts/2026-01-26-jpeg-compression-for...