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Based on a transcript excerpt: Matthew Berman breaks down a new research paper on weight-space programming, where frontier models can understand and surgically edit another model's weights. He explains how this could help demystify AI's black box and potentially improve models drastically.

AI Research • Matthew Berman

AI industry PACs spent millions influencing the 2026 midterms with mixed results, and political groups are already looking toward the next election cycle. Separately, OpenAI's Chris Lehane is proposing a new social contract aimed at defining the 2028 election.

Policy • TechCrunch AI

Based on a transcript excerpt: Wes Roth unpacks OpenAI's claim that its AI has disproved the Exponential Time Hypothesis (ETH), explaining how this relates to the P versus NP problem and what it could mean for computer science, encryption, and AI. He also notes OpenAI president Greg Brockman's reassurance that P still probably does not equal NP, and cites Scott Aaronson's comments on AI's impact on physics.

AI Research & Breakthroughs • Wes Roth