<![CDATA[David at SenTeGuard: Guarding SenTe with David]]>https://www.letters.senteguard.com/s/guarding-sente-with-davidhttps://substackcdn.com/image/fetch/$s_!au9C!,w_256,c_limit,f_auto,q_auto:good,fl_progressive:steep/https%3A%2F%2Fsubstack-post-media.s3.amazonaws.com%2Fpublic%2Fimages%2F15595b1a-6a9e-4dd6-adcc-bb36c4acb1fd_648x648.pngDavid at SenTeGuard: Guarding SenTe with Davidhttps://www.letters.senteguard.com/s/guarding-sente-with-davidSubstackMon, 22 Jun 2026 07:57:07 GMT<![CDATA[Big Frontier, China, and Regulatory Capture]]>https://www.letters.senteguard.com/p/big-frontier-china-and-regulatory-711https://www.letters.senteguard.com/p/big-frontier-china-and-regulatory-711Mon, 22 Jun 2026 03:33:50 GMTsummaryThis episode explores the complex dynamics of open versus closed AI models, the geopolitical implications, and the importance of fostering open competition for innovation and security.

keywordsAI models, open source, closed source, geopolitics, innovation, regulation, AI safety, public investment, model distillation, AI race

key topics

  • Open vs closed AI models and their implications

  • Geopolitical framing of AI development

  • Regulatory capture and industry incentives

  • AI safety and dual-use concerns

  • Knowledge diffusion and model distillation

  • Public investment in AI and race to AGI

  • Enforcement challenges for open models

  • The future of AI innovation and competition

titles

  • The Truth About Open vs Closed AI Models

  • Why Open Source AI Is Key to Innovation

Sound Bites

  • "Distillation leaks, making closed models less durable."

  • "Open models can be just as profitable as closed ones."

  • "Focus on resilience, competition, and open innovation."

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