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Gradient Descent · October 2 · 32 min

08. Is AI Inherently Authoritarian?

What happens when the technology transforming how we search, write, code, and make decisions depends on enormous amounts of data, compute, and capital? In this episode of Gradient Descent, Chris Riordan, Brett Lucas, and Brett Haupt introduce a new ongoing conversation about “authoritarian AI,” the idea that the economics and architecture of modern AI may naturally concentrate power in the hands of organizations with the most data and resources. The team breaks down how large language models are built, why open models matter, where bias and guardrails enter the equation, and the tension between AI safety, regulation, competition, and openness. This is only the beginning. As AI becomes more embedded in everyday life, who controls the models, the data, and the rules governing them will become increasingly important.

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What happens when the technology transforming how we search, write, code, and make decisions depends on enormous amounts of data, compute, and capital?

In this episode of Gradient Descent, Chris Riordan, Brett Lucas, and Brett Haupt introduce a new ongoing conversation about “authoritarian AI,” the idea that the economics and architecture of modern AI may naturally concentrate power in the hands of organizations with the most data and resources.

The team breaks down how large language models are built, why open models matter, where bias and guardrails enter the equation, and the tension between AI safety, regulation, competition, and openness.

This is only the beginning. As AI becomes more embedded in everyday life, who controls the models, the data, and the rules governing them will become increasingly important.

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