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Biodefense Blind Spot: Why Washington Confuses Pandemics with Bioweapons

In this episode Junaid Nabi explains how the convergence of generative AI and synthetic biology is creating a new class of biological threats that evade traditional pandemic‑focused defenses. Recent AI models such as Evo 2, Claude Opus 4, and OpenAI’s o3 can design pathogenic proteins and guide novices in bioweapon production, exposing gaps in current screening and surveillance systems. Nabi argues that the United States’ “all‑hazards” biodefense strategy, which lumps natural pandemics and intentional attacks together, is outdated and leads to misallocated budgets, fragmented agency responsibilities, and insufficient attribution capabilities. He calls for a split strategy that separates pandemic preparedness from AI‑driven bioweapon defense, with dedicated funding for AI‑specific bio‑security tools and stronger oversight of frontier AI models.