Google’s AI strategy is less about hype and more about building a frontier engine for Search, Workspace, Cloud, and science. In this condensed take on the original episode, Anthony Pompliano talks with Logan Kilpatrick of Google DeepMind about Google’s position in the AI race, from Gemini 3.5 to the ambitious Gemini 4 pre-training run, coding priorities, talent bets, and why product form factors like chat and voice matter. You’ll also hear how DeepMind balances foundational models with breakthroughs in AlphaFold, weather, mathematics, and genomics, plus Kilpatrick’s take on Chinese AI labs, benchmarks, and the growing importance of high-quality data. If you want the key ideas from the full conversation in a shorter listen, this summary delivers the main insights, trade-offs, and competitive signals in minutes. Listen now to get the key ideas in minutes.

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