Google DeepMind's Vision for AI, Search and Gemini with Oriol Vinyals from Google DeepMind
No Priors: Artificial Intelligence | Technology | Startups
Exploring AI's Future: From Nyquist to AGI
This chapter examines Nyquist's theorem within the context of generative models, discussing how these models challenge traditional sampling by producing high-resolution images from low-resolution inputs. The dialogue also covers the balance between general AI and specialized solutions, emphasizing the continual improvement of AI capabilities while addressing specific problems. Additionally, it explores the complexities of defining reward functions in AI and the evolving perceptions of Artificial General Intelligence (AGI), suggesting that the focus should be on the advancements AI can make rather than merely reaching AGI as an endpoint.
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