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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. M

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.

fedpost 2mo ago
Yeah I don't think they actually want this. There's far too much deeply personal and useful data being freely feed to the companies running these models. People are giving them everything. Their thoughts, feelings, intentions, company IP... It's a fucking gold mine. There's just too much value in retraining on that data and even if there wasn't, the feds lean so heavily on Google search histories to get convictions I am certain there will be pressure to prevent any mass market services from adopting this.
- oofbey 2mo ago
  All true. HE will never be used for anything real because it’s way to slow and inefficient, meaning you can only run the stupidest models on it. And there’s no commercial incentive to make it work because collecting data is too valuable. But at the same time HE is classic Google promotion fodder. Really difficult technical problem! That’s what gets people promoted at Google. Nobody actually cares about it or will use it? That also is what gets people promoted at Google. Because Google only employs “the smartest people on earth” which means people who solve difficult problems. Difficult problems - not problems that need solving.
- akoboldfrying 2mo ago
  When McDonalds introduced salads to their menu, purchases shot up -- but ~no one actually bought the salads. They just felt better about buying the same old unhealthy food from McDonalds when they knew that healthier options were available that they could potentially buy. This is the same kind of thing. The crazy overhead of FHE means it's not practical for almost any kind of real world computational work. But having it available at all is undeniably technically impressive, and some of that sense of technical refinement bleeds over into your opinion of Google as a whole. Incidentally, being a business client of Google's who actually uses this (or, say, quantum computing) for $BUSINESS_FEATURE would garner the same kind of positive attention, independently of whether it's technically a good idea. Finally, if the overheads come down to the level where they are still significant but not insane, GCP is in a great position.
  - Aozora7 2mo ago
    I'll have you know I started picking salads instead of fries in combo meals the moment they became available. Not that I'm a frequent customer, either before or after.
    - akoboldfrying 2mo ago
      Good on you and the other four or five people who do this! ;)
- xg15 2mo ago
  Well, wait until there is the first training algorithm that supports FDE. We promise we won't ever decrypt your data, we'll just train our models with it...

fedpost 2mo ago

Yeah I don't think they actually want this. There's far too much deeply personal and useful data being freely feed to the companies running these models. People are giving them everything. Their thoughts, feelings, intentions, company IP... It's a fucking gold mine. There's just too much value in retraining on that data and even if there wasn't, the feds lean so heavily on Google search histories to get convictions I am certain there will be pressure to prevent any mass market services from adopting this.

oofbey 2mo ago
All true. HE will never be used for anything real because it’s way to slow and inefficient, meaning you can only run the stupidest models on it. And there’s no commercial incentive to make it work because collecting data is too valuable. But at the same time HE is classic Google promotion fodder. Really difficult technical problem! That’s what gets people promoted at Google. Nobody actually cares about it or will use it? That also is what gets people promoted at Google. Because Google only employs “the smartest people on earth” which means people who solve difficult problems. Difficult problems - not problems that need solving.
akoboldfrying 2mo ago
When McDonalds introduced salads to their menu, purchases shot up -- but ~no one actually bought the salads. They just felt better about buying the same old unhealthy food from McDonalds when they knew that healthier options were available that they could potentially buy. This is the same kind of thing. The crazy overhead of FHE means it's not practical for almost any kind of real world computational work. But having it available at all is undeniably technically impressive, and some of that sense of technical refinement bleeds over into your opinion of Google as a whole. Incidentally, being a business client of Google's who actually uses this (or, say, quantum computing) for $BUSINESS_FEATURE would garner the same kind of positive attention, independently of whether it's technically a good idea. Finally, if the overheads come down to the level where they are still significant but not insane, GCP is in a great position.
- Aozora7 2mo ago
  I'll have you know I started picking salads instead of fries in combo meals the moment they became available. Not that I'm a frequent customer, either before or after.
  - akoboldfrying 2mo ago
    Good on you and the other four or five people who do this! ;)
xg15 2mo ago
Well, wait until there is the first training algorithm that supports FDE. We promise we won't ever decrypt your data, we'll just train our models with it...