Jerry Kaplan on the self-improving, ever-learning AI systems of the future.
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Jerry Kaplan is the author of the new book “Generative Artificial Intelligence: What Everyone Needs to Know”. We discuss several emerging trends and developments in AI systems, including the capacity for continuous learning to keep systems adaptive and personalized, the integration of sensory capabilities to enhance perception and insights, self-improvement features to optimize performance, the need to specialize training data for superior results, and the democratization of AI through open source models. Key implications highlighted include transformed customer experiences, deeper health and environmental insights from real-world data, reduced oversight needs, and expanded AI adoption.
Interview highlights – key sections from the video version:
- The Future of Continuous Learning and Updating in Generative AI Systems
- Compensating Content Creators in the Age of AI
- Expanding beyond text: Integrating real world sensory inputs
- Self-Inspection and Self-Awareness in AI Systems
- The Promises and Challenges of Democratizing Foundation Models Through Open Source
- The Promise and Perils of AI in Law
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- A video version of this conversation is available on our YouTube channel.
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