Re:Local privilege escalation vulnerabilities in Linux
by vuurmot on Thursday November 05, 2026 @02:11AM
(#50376100)
The implication is that companies and researchers are leaking confidential data through OpenAI usage, and they might want to do something about that to protect their work
Re:Local privilege escalation vulnerabilities in Linux
by wahern on Thursday November 05, 2026 @11:36AM
(#50381221)
That's a personal fear of mine, and I have first hand knowledge that large companies draft contracts with AI companies to specifically prohibit training and retention of company data. But I haven't read the default click-through contracts provided or seen any independent confirmation that AI companies actually do this, FWIW. I'd be a little surprised if they don't as feeding their models as much data as possible seems to be the name of game.
Re:Local privilege escalation vulnerabilities in Linux
by wahern on Thursday November 05, 2026 @02:25AM
(#50376185)
The implication being that it was fed the literal answers rather than some kind of superintelligence that can reverse engineer from first principals. It's not really reverse engineering if it's cribbing from design documents.
Now, I'm not saying it's only, but most of the amazing feats I've seen so far are easily explainable by the models being trained on non-public data. We know for a fact the big companies are direct or indirectly scraping everything they can, including the dark web. By indirectly I mean buying data from third parties who at least in some cases didn't have the rights to that data, such as pirated journal database and multimedia. Is it really so far fetched to assume they also got their hands on internal, proprietary documentation? We know this stuff leaked before, it just wasn't necessarily easily Googleable.
Do these wild "what if" even matter? I mean, what's your point? That it was trained in a way that it enabled this sort of task? That's like putting out a disclaimer that the water is wet.