• 0 Posts
  • 72 Comments
Joined 1 year ago
cake
Cake day: July 19th, 2023

help-circle















  • Their chips are pretty good at not drawing much power. But then you also get to the balance of power cost, computing power and physical space.

    Google and Microsoft are already building their own power generation systems for even faster AI slop. That would make power a lot cheaper, and super efficient chips might not be the best answer.

    I don’t know which way Apple will go, except further up their own behind. But either way, these are some really cool approaches to implementing this technology, and I hope they keep it up!


  • It’s a cool idea: certain approaches to encryption still allow math to be performed. Here’s one example: say you encrypt data X with algorithm Z. then you could multiply Z by four, which would also multiply X by four. So you can run computations on the encrypted data without decrypting it.

    It would be quite complex, but I suppose you could run a machine learning model this way to tag images without ever seeing the image, or knowing the resulting tag. Only the decryption key can be used read the results (which is on the user’s iphone, I suppose).

    However… I don’t know how much compute cost this adds to an already expensive computation. The encryption used might not be the strongest out there. But the idea is pretty cool!