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25min chapter
Stanford's AI Index Report 2024 (Practical AI #276)
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Regulations, Data Availability, and AI Risks
This chapter delves into the impact of regulations on AI technology development, the availability of data for training AI systems, and the challenges associated with analyzing extreme AI risks. It explores the debate between open source and closed source providers, the limitations of current AI models, and the importance of curation of data sets. The conversation also touches on public perceptions of AI, the productivity gains from AI technology, and the future of AI development and integration.
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Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode