EnvisEdge VS exodus

Hear me out on what I think a truly decentralised content curation.

Twitter, FB (Meta), Youtube everyone harvests user data and train their recommendation engines which are then monetised by them (often unfairly).

In the future, the data stays on the users' devices and anyone can train their models by asking the user for the consent. THe data never leaves the device and ML models get trained on user device itself. The users get to choose from a host of recommendation choices and can ask for payment in return for using their data. So no one party can build a monopoly over the platform.

Check out a cool project I have been working on to solve this https://github.com/NimbleEdge/RecoEdge

Edge computing for machine learning. Instead of running ML models on the cloud, I train them on user's device, ask these devices to offload computation between each other and give me the best performance out there. I have my own local cloud formed by my laptop, smartphone and ipad.

I built out the library for these myself, checkout https://github.com/NimbleEdge/RecoEdge

It's using an external database to check your apps: https://github.com/Exodus-Privacy/exodus

This is the tool: https://reports.exodus-privacy.eu.org/

After careful review, we feel Exodus has made an error in their indication that we have 1 tracker. Other people have reported a similar error within Exodus that you can read about here. We are reporting this to Exodus but we're also going to play with our code to see if we can prevent having them issue this false-positive.