Episode Details

In this episode of Model Behavior, hosts Nina Park and Thatcher Collins examine two massive shifts in the AI landscape from late October 2026. First, they break down OpenAI's claims of resolving long-standing problems in mathematics and physics, including the assertion that the Exponential Time Hypothesis is false. The discussion explores the new 'shepherd' model of academic verification and the pushback from the mathematical community regarding transparency. Then, the focus shifts to Anthropic’s public IPO filing. The S-1 reveals the company's staggering compute costs, including billions paid to SpaceX for GPUs, and the unusual risk factors they’ve disclosed to potential investors, such as uninsurable catastrophic events and potential model sentience. These stories represent a dual maturation of the industry into both a fundamental scientific engine and a high-stakes financial sector.

Topics Covered

• 🔬 OpenAI’s scientific breakthroughs in mathematics and quantum field theory.
• 🏫 The debate over the 'shepherd' peer-review model for AI research.
• 📊 Anthropic’s S-1 filing and its $80.7 billion net loss in early 2026.
• 🚀 Massive infrastructure deals between Anthropic, SpaceX, and Google.
• ⚠️ Extraordinary IPO risk factors including model sentience and uninsurable events.

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• (00:12) - Introduction
• (00:42) - Anthropic IPO Filing
• (00:42) - OpenAI Science Discoveries