AI May Be Exposing Your Private Information: Dustin Stout on What’s Really Happening

Now, let's talk more about the dangers of AI.

A lot of these companies, they built a huge market cap, huge valuations based on what people invest in, what people think that they're going to be valuable.

But part of how they operate is using this private data from individuals.

They gather this information, as you mentioned.

Now, would you say that's part of their business model or is just a loophole that people have not been able to close yet?

Yeah, no, I think it's a definite part of their business model.

I mean, any big tech company over the last several decades has known that the most valuable thing that they have is data and using that data to produce better outcomes, to improve upon outcomes.

The old marketing adage is what gets measured gets improved, right? If you have the ability to measure something, you can improve it.

And how do you measure it? With data.

With AI models in particular, in order for them to get smarter, they need more data and they need better data.

And so all these AI companies, every single one of them, in order for them to continue to innovate and create better models, they need more data.

And the big problem that they're at now is, well, what happens when you've already trained on all the data? What happens when you've already consumed all of the internet and all of written history? well, you need new data, you need new information.

And the way that you get that is by having people use your products and use that information to train the next big model.

And we've seen this over the last two years.

I think there's been a big plateau in capability.

AI kind of hit the scene back in November 2022 when ChatGPT was introduced to the world.

And it was a huge leap forward in AI.

AI had existed well before that.

But this was a huge leap.

And for the first year, there were several big leaps made in AI.

But ever since, it's been kind of plateaued.

And so they've realized this at these AI companies.

These engineers realized we've trained on all the data.

So the only way to make these models smarter is either A, to architect a completely different way of doing AI, to kind of re-engineer the whole infrastructure of AI, or we just need more data.

We need higher volumes of data.