Karen Hao

And also the spaces that they would need to deploy these technologies to continue having broad-based adoption in their work.

So you're a data donor to these companies.

You could withhold that data.

And that's what those artists and writers are doing.

They're suing these companies to try and create mechanisms by which that data would then be withheld.

You probably have a data center popping up around you.

If you're at a school environment or a company environment, you're probably having a discussion in those environments right now about what should the AI adoption policy be.

Right.

And these companies, they like I was talking with some open employees just the other day, and they were telling me that it's understood internally that the revenue targets for the company are extraordinary and they need things to go flawlessly for it to all work out.

And so they would need every single person to adopt this, every single space to adopt this.

They would need to be able to build their data centers at the speed that they're trying to build them.

And so what I would say to every one of your viewers is let's not make it go flawlessly if we don't agree with what they are doing.

And then let's build alternatives because...

The thing is, what I'm saying is not that these technologies don't have utility.

It's that specifically the political economy that has emerged to support the production of these technologies right now is exacting a lot of harm on people.

But we have research that shows that.

that the very same capabilities could be developed with much more efficient methods, with much less resource consumption.

And we have a lot of different other AI systems at our disposal that are like the bicycles of AI that we also know provide extraordinary benefit at very little cost.

So let's break up the empire and let's forge new paths of AI development that are broadly beneficial to everyone.

I think this is absolutely like you can have both of these things in your head.