[mrled]

I'm curious about specific consequences of this. I tend to think the importance of code secrecy has always been exaggerated (there are specific exceptions like hedge fund strategies and malware), even more so now in this post-Claude world. Does anyone have specific things they're trying to avoid by opting out of this?

[jawilson2]

Algorithms and models for a proprietary trading system? My personal notes? The latex text of my phd thesis?

I will go screaming and kicking and fighting into this dystopian nightmare post-privacy shithole world that so many people seem fine with. If I have to move off of every service or technology to maintain some semblance of privacy so be it.

[mrled]

Well, mostly I was thinking about code, and aside from the specific exceptions of trading algorithms (which I was trying to get at when I said hedge fund strategies), and now PhD theses (good point, at least if you're talking pre-publication), I'm still having trouble understanding the threat model even if AI did train on most proprietary, private business code. Can AI training on a CRUD app's code damage a business?

And I have the same question about private notes, or even a diary. Can an AI training on a bunch of personal stuff damage the person that wrote it?

Do you really keep trading algorithms on github?

[zelphirkalt]

Well, depends on what you have in those private notes and how others will query the LLMs trained on that private data. Maybe you write things in private notes that are a reason for private notes to remain private.