Exploring AI policy landscape, U.S. and U.K. partnership on AI Safety, Open AI's Voice Engine, OMB's latest AI policy announcement, Mexico's new role in AI infrastructure
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Quick takeaways
Understanding the three eras of AI technology: deep learning, generative AI, and frontier AI, influencing regulatory approaches and industry dynamics.
Highlighting global AI policy expertise shortage and efforts to enhance officials' understanding through training programs and educational requirements.
Deep dives
The Three Eras of AI Technology
The speaker outlines three eras of modern AI technology, starting with the deep learning revolution around 2012, followed by the generative AI revolution from 2022 to the present, and a future horizon involving frontier AI models. These eras have influenced regulatory approaches and industry dynamics, with policymakers adapting to each technological wave.
Government Expertise in AI Regulation
The shortage of AI policy expertise globally, including in the US government, is highlighted. Efforts such as night classes for congressmen, congressional staff training, and business schools requiring AI proficiency indicate a push to enhance government officials' understanding of AI technology and its implications.
Regulating Advanced AI Models and Synthetic Voice Technology
Recent developments in AI governance include a bilateral agreement between the US and UK on testing advanced AI models, focusing on generative AI safety and technical evaluations. Additionally, OpenAI's VoiceEngine, capable of cloning voices from short recordings, raises concerns about synthetic voice misuse and the need for safeguards like watermarking in AI technologies.
In this episode, we discuss a framework for understanding the rapidly changing AI policy landscape (0:53), the first-of-its-kind U.S. and U.K. partnership on AI Safety (8:20), Open AI's Voice Engine system (10:53), OMB's latest AI policy announcement (18:00), and Mexico's new role in AI infrastructure (21:50).
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