The Fast-Moving Train Of AI - Sovereignty, Acceleration, & Lessons From History Data Driven podcast

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The Fast-Moving Train of AI - Sovereignty, Acceleration, & Lessons from History

5d ago 1:15:09

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On this episode of Data Driven, hosts Frank La Vigne and Leonard celebrate a major milestone: the 30th anniversary of Franksworld.com, one of the OGs of tech blogging that’s survived multiple browser wars, dot-com crashes, and the relentless march of Internet time. Joined by guest Saket Saurabh, they dive into the rapidly evolving landscape of AI, data science, and technology, comparing today’s AI boom to previous tech bubbles and exploring trends in sovereign AI, data sovereignty, and global competition in quantum computing.

The conversation takes us from the days of hand-coded HTML uphill in both directions, to modern challenges like scheduling snafus, rapid automation, and the possibilities (and pitfalls) brought on by artificial intelligence. Along the way, Frank and Saket reflect on the cycles of tech innovation, the impact of global politics on data and AI, and what it really means to adopt new technology mindsets.

Tune in for a lively ride through tech history, lessons learned, and a discussion on how a scrappy few—and a little help from AI—can rival teams of seventy. If you’re curious about what’s next in AI, data, or you just want a dose of digital nostalgia and practical insight, this episode’s for you.

Time Stamps

00:00 Grok 4 Daily Updates

05:22 "AI Bubble: Caution and Trends"

12:10 "X64 Chips and Tech Rivalry"

19:49 "Appreciating Thoughtful Scientific Content"

25:34 "History's Arcs and Overcorrections"

27:24 "Unique Identity Beyond Models"

32:03 "Reexamining Privacy Awareness"

41:22 "Geopolitical Prudence and Resources"

47:49 "AI, Podcasts, and Off-Roading"

50:37 "Talking Recycling Bin Origins"

54:37 "AI as a Multilingual Solution"

59:49 Reinventing MCP and Context Memory

01:05:12 "Artistic Talent Meets Engineering"

01:14:08 "Data, AI, and Mastermind Insights"

307 епізодів

#Data Science #Science #Data Driven #Biology #Data Points #Tech #Math