Why does Math matter? And can “text” be export controlled?

Why does Math matter? And can “text” be export controlled?

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Descriptions:

This live session from the Cognitive Revolution brings together hosts Nathan and Pragash for a wide-ranging discussion on AI policy, market dynamics, and biosecurity, anchored by a conversation with law professor Donnie Bloomfield on AI export controls. The episode opens amid controversy over “Fable,” a frontier AI model whose access has reportedly been restricted in what the hosts characterize as a politically motivated action โ€” one they argue may not withstand legal scrutiny. Bloomfield walks through the First Amendment dimensions of regulating what data AI companies can train on, including both speaker rights for developers and listener rights for the public.

The show also covers Sensor Tower’s 2026 State of AI report, which shows Gemini reaching approximately 700 million monthly active users โ€” climbing fast on the back of Google’s distribution advantages โ€” while ChatGPT maintains over 1 billion MAUs. The hosts note the metric measures app activity rather than usage intensity, an important caveat for interpreting the numbers.

A significant portion addresses biosecurity: whether biological foundation models trained on pathogen-related data (analogous to AlphaFold’s protein-folding breakthroughs) should face training data restrictions, what First Amendment protections apply, and whether constitutional-style alignment approaches could be embedded in non-English-language biological models. The episode is essential context for anyone following the intersection of AI capability, regulatory action, and national security policy heading into mid-2026.


๐Ÿ“บ Source: Cognitive Revolution “How AI Changes Everything” ยท Published June 18, 2026
๐Ÿท๏ธ Format: Podcast