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Contrary to their claim there is no Private Ai in https://t.co/bR5IfvDdvI

All Inference requests go to their Central Server in plain text, zero encryption or privacy.

All the received buffers are in plain text as well.

Verify it yourself by checking the Network Tab in chrome. https://t.co/WDRxog6E5O

@0xSmit Venice's architecture is described here: https://t.co/3y0Q2HRTIM

This is *very private* compared to any centralized inference provider.  It is not  as private as just running locally.

Venice isn't seeing/storing any of the prompts or responses. We don't yet have the capability…

Erik Voorhees

“trust me, it’s private”

https://x.com/erikvoorhees/status/1884022767269355907?s=46

prev founded rocketr.net, swish.id now exploring aiXcrypto identity ai. expired sprint car driver & energy data engineer. idol worship on shoni_eth.X

It's a lot easier to build for privacy in this case, and I actually really like how conversation history etc is in local storage.

Still, setting up logging on their end would be trivial, especially because they're using Cloudflare who is super well known for working with intelligence orgs, and this data is super high value for intelligence orgs.

it is best compared to a vpn imo

anyway i was trying to remember the decentralize compute name you told me maybe a year ago

hmm i thought you mentioned something else 

it was for inference from computers in a garage, had a github repo, could do inference on large models

kinda indy? thought it was a floral name idk lol ill check out golem

Golem is the old one, Akash is the new one, there's a few others but none really seem to actually be "working". I've got my eye on Morpheus too. Hard to say where the incentive layers are best placed.