barisozmen

I also have a couple of tangential ideas for weighting endorsements:

- Expertise match: e.g. Elon Musk endorsing a rocket engines book vs history book

- Strength of endorsement: e.g. "This is the best book I've ever read," vs "I liked it."

Totally makes sense. There could be a scoring system where each endorsement is weighted by a "quote-whoreness" score or something like that.

Even if the term 'variable' has roots in math where it is acceptable that it might not mutate, I think for clarity, the naming should be different. It's uneasy to think about something that can vary but not mutate. More clear names can be found.

You can reduce anything happening on the computer to arithmetic operations. If you can do additions and multiplications, then it's turing complete. All others can be constructed from them.

An FHE Google today would be incredible expensive and incredibly slow. No one would pay for it.

The key question I think is how much computing speed will improve in the future. If we assume FHE will take 1000x more time, but hardware also becomes 1000x faster, then the FHE performance will be similar to today's plaintext speed.

Predicting the future is impossible, but as software improves and hardware becoming faster and cheaper every year, and as FHE provides a unique value of privacy, it's plausible that at some point it can become the default (if not 10 years, maybe in 50 years).

Today's hardware is many orders of magnitudes faster compared to 50 years ago.

There are of course other issues too. Like ciphertext size being much larger than plaintext, and requirement of encrypting whole models or indexes per client on the server side.

FHE is not practical for most things yet, but its venn diagram of feasible applications will only grow. And I believe there will be a time in the future that its venn diagram covers search engines and LLMs.