Big Technology Podcast

Demis Hassabis is the CEO of Google DeepMind. Hassabis joins Big Technology Podcast to discuss where AI progress really stands today, where the next breakthroughs might come from, and whether we’ve hit AGI already. Tune in for a deep discussion covering the latest in AI research, from continual learning to world models. We also dig into product, discussing Google’s big bet on AI glasses, its advertising plans, and AI coding. We also cover what AI means for knowledge work and scientific discovery. Hit play for a wide-ranging, high-signal conversation about where AI is headed next from one of the leaders driving it forward. 

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Cristiano Amon is the CEO of Qualcomm. Amon joins Big Technology to discuss what the AI device of the future looks like—and why he thinks the next wave of personal computing will move beyond the smartphone. Tune in to hear his vision for AI-powered glasses and wearables, what a truly useful agent experience requires, and why he believes the “winner at the edge” will shape the AI race. We also cover AI PCs and what will actually drive adoption, Qualcomm’s push into AI inference in the data center, the state of robotics and industrial AI, and where China may be pulling ahead. Hit play for a Davos-front-row conversation on where AI is heading next—and the chips and constraints that will determine how fast it gets there.

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Ranjan Roy from Margins is back for our weekly discussion of the latest tech news. We cover: 1) Gemini's case as undisputed AI leader 2) Google and Apple ink a deal for Gemini to fix Siri 3) Is all this AI going to hurt Google's business model? 4) Who will be better at AI ads: Google or OpenAI? 5) Google Gemini's Personal Intelligence 6) Exits at Thinking Machines Lab 7) Is Thinking Machines toast? 8) Claude work arrives! It's Claude Code for non-coders 9) Are we in the age of the empowered individual? 10) Harness Hive stand up!

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Arthur Mensch is the CEO and co-founder of Mistral. Arthur Mensch joins the Big Technology Podcast to discuss what the AI business looks like if all leading models perform the same. Tune in to hear how the commoditization of foundational models is changing the balance of power in the industry, what business models will be profitable, and why the focus is shifting from building better models to building applications. We also cover the open source movement versus closed source models, the geopolitics of AI, and practical industrial applications of the technology. 

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Questions? Feedback? Write to: [email protected]

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M.G. Siegler of Spyglass is back for our monthly tech news discussion. Today we discuss whether AI needs a Steve Jobs, whether the technology lends itself to that type of leader, and who it might be of the current crop. We also discuss which Big Tech companies are actually winning in the AI race and why so few have a standout AI product. Then we look at the year ahead and get some of Siegler's boldest predictions. Tune in for a fun, deep discussion on the current state of AI and what's missing.

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