AI moves fast; laws struggle to keep up. In this episode of Inside Assemble AI, Mac Goswami and Sam Dey tackle the most pressing questions about the future of AI policy—from Artificial General Intelligence (AGI) that could exceed human capabilities to the murky liability questions around autonomous AI agents.

What happens when AI agents cause harm? Who's liable - the developer, the deployer, or the user? Current regulations weren't designed for systems that can make independent decisions, negotiate contracts, or interact with other AI systems. The legal framework is unclear and complex, and we're already behind.

The episode explores the double-edged sword of open source AI: it fosters innovation and democratizes access, but it also complicates control and regulation. How do you govern models that anyone can download, modify, and deploy? The traditional regulatory playbook doesn't work when the technology is freely distributed.

Key insight: "AI policy will evolve as rapidly as AI itself." This isn't a one-time regulatory fix—it's a continuous process of adaptation, learning, and cooperation. Current regulations are already inadequate for AGI scenarios, and we need frameworks that can flex with technological advancement rather than break under it.

The conversation emphasizes that public participation is crucial in shaping AI policy. These decisions affect everyone, and the dialogue can't be left only to technologists and policymakers.

Topics covered: AGI implications for humanity, AI agent liability frameworks, open source AI governance paradox, synthetic content detection and regulation, global cooperation mechanisms, technology governance evolution, continuous regulatory adaptation

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