I don't trust corporations with my data.
So a serious AI product would have to have my data (contexts, conversations) in a "secure enclave". If backed up, it needs to be encrypted.
I want a context and history that, over time, essentially knows everything about me.
It's one of the things that has been rather fascinating about Claude & Co.— he'll come back with things like, "Since you are already familiar with the ESP32…" or, "You already have a heat press from your work with dye sublimation, that will work nicely to set the inks when you screen print t-shirts…"
(Shades of "Diamond Age"… I imagine it helping me recall things when I am in my old age, notice patterns in my life I might want to break free from, etc.)
I think this is getting at the inherent tension between what people actually want from AI, and what makes a profitable AI product. People want control and data in their own hands, companies want the opposite. Improving an AI product means making it behave less like a product. So why are we hunting for products? We should be going after solutions without predication on profitability for some party.
I think you'd find https://gwern.net/guardian-angel quite interesting.
I don't mind if it's in the cloud if I consent. I always prefer a local-first option. I'm usually attracted to products that offer that. Maybe there are extra features or functionalities if my data is stored on the cloud, but any product that offers a local-first approach is always my preference.
Using homomorphic encryption to protect your data is the way forward:
https://blog.google/security/how-google-is-making-private-ai...