@nathanrizzolo@DocCoyle As the oligarchs expand the wealth divide more and more people cannot afford to take time off. The solution is a national holiday for voting but you’re probably against that too.
Karen Hao on why "empire" is the right framework for understanding AI companies:
Karen Hao argues that the AI industry can only be properly understood through one specific lens.
"Empire is the only metaphor that I've ever found to fully encapsulate all of the dimensions of what these companies do and the scale that they operate and what motivates them to do what they do."
She draws direct parallels between what she calls "the empires of AI" and the empires of old, identifying three specific patterns.
First, resource extraction.
"They lay claim to resources that are not their own in the pursuit of training these models. That's the data of individuals, the intellectual property of artists, writers, and creators."
She adds that this land-grabbing extends to physical infrastructure, with companies seizing resources to build the supercomputer facilities needed to train next-generation models.
Second, labor exploitation.
"They contract hundreds of thousands of workers all around the world, including in the US, to ultimately make these technologies."
But the labor dimension goes deeper than just contracting workers. Hao explains that the technology itself is designed with a specific intent:
"They also design their tools to be labor automating so that when the technologies are deployed, it also affects labor rights because it erodes away labor rights. And this is a political choice that they have."
Third, knowledge monopolisation.
"They monopolize knowledge production. So they project this idea that they're the only ones that really understand how the technology works. And so if the public doesn't like it, it's because they don't actually know enough about this technology."
According to @_KarenHao, this monopolisation operates on multiple fronts directed at the public, at policymakers, and through the research community itself:
"They've also captured the majority of the scientists that are working on understanding the limitations and capabilities of AI."
Hao's framework suggests that when we evaluate AI companies, we shouldn't just look at their products or their stated missions. We should ask the same questions historians ask of empires whose resources are being claimed, whose labor is being exploited, and who controls the narrative about what's really happening.
If she's right, the most important debates about AI aren't technical ones. They're political.