this post was submitted on 27 Oct 2026
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AI policies are so dumb. You don't evaluate people's perfs on how much they use a tool. So what's the damn end goal of such evaluation??
"Hey! I did nothing useful this year, but all with AI! -You're promoted!!
I fixed hundreds of bugs and developed 3 new features all cheered by users! -With AI? -Err... not much -You're fired!!"
The policy my company has implemented is the opposite. AI use is allowed, but no confidential client information is to be sent to any cloud AI service. Logic is that if we don't have an actual NDA with OpenAI (or whoever), their privacy policy is not robust enough for us to take on that liability.
Interested in your thoughts on that!
For the LLMs killer feature, software development, you don't really need confidential information 99% of the time.
It continues to annoy me how both haters and glazers will over-simplify the topic by calling everything AI. There's a giant difference in usefulness, ethics, and quality between LLMs that produce code guided by an experienced developer, and "art" slopped out for greed by some random schmo.
Multiple companies have that approach, I'm not denying there ARE companies doing things right (or at least better).
I work in a company using multiple agents. One of them is supposed to be off Internet, and even with that one we're not to share sensitive IP.
But Proton is not an isolated case. I bet some execs have invested and promised so much they need to report some good numbers on usage, and you can't make up productivity improvement if there are people left getting as much done without AI.