Future AI Scaling
Tim and Ryan discuss the potential bottlenecks in scaling AI systems, including data limitations, compute constraints, and difficulties in parallelizing. Ryan presents an aggressive scenario for MLRNd automation, while Tim emphasizes the challenges in achieving intelligence internal to the system. The conversation delves into the complexities of scaling AI and the implications for future advancements.In this clip
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