What happens when artificial intelligence can generate scientific claims faster than humans can evaluate them? In this episode of AnthroIntelligence: Culture, Cognition, and Code, I explore how AI is entering not only the practice of science, but the social machinery through which scientific knowledge becomes trusted.

From AI-assisted mathematical proofs and automated verification to the accelerating flood of preprints, artificial intelligence is lowering barriers to producing, testing, and circulating research. But science has never been simply a collection of correct answers. It is a human system of observation, criticism, replication, evidence, and collective judgment.

As machines become increasingly capable of generating hypotheses, checking arguments, and synthesizing entire literatures, the bottleneck of science may shift from discovery to evaluation. AI can help determine whether an argument follows formal rules. It cannot decide whether a question matters, whether an assumption is justified, or whether a result deserves our trust.

The future of science may therefore depend less on our ability to produce knowledge than on something much older—and harder to automate: deciding what counts as true.

📖 Read the full Author’s Cut here.

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