anshyyy

Lmao. Points to roast?

Sure!

1. We're planning on providing an extension system to run preliminary validations on the data.

2. Cause nearly every who's-who AI company is facing lawsuits for doing just that.

3. You're referring to LLMs and other high data models (this doesn't really apply as much to things like healthcare). While that's true, think about it this way -- each piece of data might not be worth a lot in the beginning, it's tied to the model.

As the model brings in more revenue, your data goes up in worth. And so what you're really holding is an opportunity / contract for future profits. Each one might not be worth anything, but it turns into an investment opportunity for an outsider -- you can buy the rights to the contract from these individuals once you see the company is clearly rising.

tldr; Because it provides long term opportunities, and allows you to have a stake in a company with barely any effort.

Really love the idea of being able to automatically toggle your data from specific companies. We can add some support to allow you to port your data to invest, and recommend startups with some analytics.

We're seeing green lights from both American and EU legislation. We're also keeping ethicality at the forefront of design, and going to try and vet startups on the platform.

Caden's amazing! We're trying to enable users to monetize in a different manner, beyond "selling their data off as a one-time profit opportunity"; moreso, we're gearing ourselves more towards allowing people to profitably drop data into AI companies in a way that minimizes initial risk for the startups, and then reap the rewards as they grow.

Depends with use case -- a single piece of healthcare data would easily go for triple digits, while high volume data (blogs, text, images) would go for single or double.

The investment model also throws things a bit off, since the value of contract for profits also has a worth, and fluctuates with company performance.