blog.google

Google is making private AI practical with homomorphic encryption

u1hcw9nx · 476 points · 277 comments · 昨天 · 打开原文

评论

5 条预览评论 · 正在加载完整讨论
sabretooth1405昨天

My master's thesis is on a topic in this field (Privacy Preserving ML) and from my understanding HE and other techniques have very high overheads(~10^3) on inference tasks and thus aren't very commercially viable.

snovv_crash12小时前

So much inefficiency just to run it on someone else's untrusted hardware. Private AI is already possible today with local open-weight models running on hardware you control. Homomorphic encryption is cool technology, but I'm really not sure what problem it solves.

never_inline17小时前

I think you folks are reading too much into it. I think the people working on FHE need to publish an AI-oriented pitch to retain funding from AI-pilled execs. Must be the same case with the golang post few days ago.

meindnoch昨天

Great, private AI, at the cost of >1000x the resource usage. Because apparently AI companies weren't already using quite enough energy to cook the planet. The most private AI is the one running on my own hardware, not in some giant data center.

Cider9986昨天

This is the same Google that doesn't have e2ee on their password manager by default. Like WTF, it's a password manager.