Who Should Regulate AI? A Civil Debate on the Future of AI Policy

Who should regulate AI? And how? In this episode of The People’s AI, host Jeff Wilser moderates a deep, respectful debate between two leading voices in AI policy: Justin Hendrix, CEO of Tech Policy Press, and Jeff Amico, COO of Gensyn, a decentralized machine learning compute network.

As the global conversation around AI regulation intensifies, this episode explores the trade-offs between government oversight and market-based AI governance, the role of open source AI in driving innovation, and the potential risks of overregulation. The conversation touches on recent federal AI legislation that could override state-level AI laws, raising urgent questions about federalism, accountability, and the future of tech policy in the United States.

Additional themes include:
• AI and national security, particularly the U.S.-China AI race
• The environmental impact of AI infrastructure and massive data centers
• The challenge of regulating different layers of the AI stack—from models to compute to applications
• The benefits and risks of open-source LLMs

Whether you’re curious about AI safety, AI ethics, or the technical underpinnings of verifiable compute, this conversation will help you navigate one of the most urgent policy questions of 2025: how do we regulate AI without killing innovation?

Tech Policy Press:

https://www.techpolicy.press/

About Gensyn:

Gensyn is a protocol for machine learning computation. It provides a standardised way to execute machine learning tasks over any device in the world. This aggregates the world's computing supply into a single network, which can support AI systems at far greater scale than is possible today. It is fully open source and permissionless, meaning anyone can contribute to the network or use it.

Gensyn
https://www.gensyn.ai/

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/ gensynai

Twitter
https://x.com/gensynai

Discord
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