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The Data Exchange with Ben Lorica
Adaptive, Specialized, and Accessible: Where AI Systems Are Heading Next
Mar 7, 2024
The podcast explores the advancements and challenges in AI systems, focusing on real-time learning, data limitations, and ethical considerations. It delves into the evolution of AI towards sensory inputs, the complexities of open source AI models, and the implications of foundation AI models in innovation and legal practices. Additionally, it discusses tax automation, book promotions, and the potential of AI in various fields.
43:01
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Quick takeaways
- Future generative AI advancements will focus on continuous updating and real-time learning for personalized systems.
- Enhancing self-awareness capabilities in AI systems is crucial for effective self-inspection and improvement.
Deep dives
Jerry Kaplan's Expertise in AI Innovation and Silicon Valley
Jerry Kaplan, author of Generative Artificial Intelligence, brings a wealth of experience from his Silicon Valley background, including pioneering work at Go Corporation in the tablet computing era. His insights shed light on the rapidly evolving landscape of generative AI.
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Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode