We summarize a recent interview with Jeff Dean, a legendary Chief Scientist at Google who has been leading Gemini, focusing on the **evolution and current state of Google's Tensor Processing Units (TPUs)**, including the recent seventh-generation announcement. Dean explains that the initial motivation for TPUs was Google's internal need to handle the massive compute requirements of scaling AI models, highlighting the **efficiency gains over CPUs and GPUs**. The conversation also shifts to the broader **AI ecosystem, emphasizing the critical need for vibrant academic research funding** as a foundation for major technological breakthroughs. Finally, Dean discusses **Google's strategy for sharing innovation** externally, such as a delayed publishing model for computational photography, and expresses **passion for applying AI to healthcare and improving compute efficiency**.

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