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.

• FranksWorld.com -http://www.FranksWorld.com
• Who Moved My Cheese -https://amzn.to/4oeqGvs
• Impact Quantum Global Report -https://impactquantum.com/GlobalReport/
• Impact Quantum Podcast -https://impactquantum.com/
• AutonomousWarfare.ai -https://autonomouswarfare.ai/

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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"

Welcome to another episode of Data Driven, where we dive deep into how data and AI are shaping—sometimes shaking—the modern world. In this episode, hosts Frank La Vigne, Andy Leonard, and Carmen Li sit down with Carmen Lee, the trailblazing CEO of Silicon Data and a former Bloomberg data aficionado.

Carmen’s on a mission to bring clarity to the wild west of GPU compute markets, and she shares with us how she’s turning raw compute into a true tradable commodity—think futures markets for GPUs, the “Bloomberg terminal” for AI infrastructure, and perhaps even a Carfax for your next used GPU cluster.

Together, they explore everything from why AI startups struggle with fluctuating margins, to the crucial role TSMC plays in the world economy, all the way to the data transparency that might be the missing piece in AI’s explosive growth. Whether you’re curious about benchmarking GPUs, tokenomics, managing infrastructure costs, or just want a glimpse into the future of data markets, this one’s for you.

Stay tuned for a fascinating conversation on normalizing chaos, hedging tech costs, geeking out over hardware, and even a few laughs about used GPU “car lots” in Virginia. Let’s get data driven!

• Silicon Data -https://www.silicondata.com/
• Dancing with Qubits -https://amzn.to/4mIOG8U
• The Nvidia Way -https://amzn.to/3VH9aUv

00:00 "AI Commodities and GPU Markets"

06:56 Ecosystem Transparency Benefits All

10:55 AI SaaS Cost Optimization Challenges

13:41 Token Economics in Cloud AI

15:27 Optimizing GPU and Token Commitment

18:41 Token-Based Product Innovation

25:00 "Verifying UIDs and Connectivity"

28:43 Measuring GPU Performance

30:41 Supply Chain Impact on GPU Industry

35:43 "TNC's Unchallenged Leadership in Supply Chain"

36:31 Silicon Ecosystem Collaboration

39:38 Nvidia's Strategic TSMC Capacity Purchase

42:51 Bloomberg's Media and Finance Expansion

46:53 "Quantum Reading Challenges"

50:13 "Data Driven Podcast Wrap-Up"

In this episode, we're joined once again by Christopher Nuland, technical marketing manager at Red Hat, whose globe-trotting schedule rivals the complexity of a Kubernetes deployment. Christopher sits down with hosts Bailey and Frank La Vigne to explore the frontier of artificial intelligence—from simulating reality and continuous learning models to debates around whether we really need humanoid robots to achieve superintelligence, or if a convincingly detailed simulation (think Grand Theft Auto, but for AI) might get us there first.

Christopher takes us on a whirlwind tour of Google DeepMind’s pioneering alpha projects, the latest buzz around simulating experiences for AI, and the metaphysical rabbit hole of iRobot and simulation theory. We dive into why the next big advancement in AI might not come from making models bigger, but from making them better at simulating the world around them. Along the way, we tackle timely topics in AI governance, security, and the ethics of continuous learning, with plenty of detours through pop culture, finance, and grassroots tech conferences.

If you’re curious about where the bleeding edge of AI meets science fiction, and how simulation could redefine the race for superintelligence, this episode is for you. Buckle up—because reality might just be the next thing AI learns to hack.

00:00 Upcoming European and US Conferences

05:38 AI Optimization Plateau

08:43 Simulation's Role in Spatial Awareness

10:00 Evolutionary Efficiency of Human Brains

16:30 "Robotics Laws and Contradictions"

17:32 AI, Paperclips, and Robot Ethics

22:18 Troubleshooting Insight Experience

25:16 Challenges in Training Deep Learning Models

27:15 Challenges in Continuous Model Training

32:04 AI Gateway for Specialized Requests

36:54 Open Source and Rapid Innovation

38:10 Industry-Specific AI Breakthroughs

43:28 Misrepresented R&D Success Rates

44:51 POC Challenges: Meaningful Versus Superficial

47:59 "Crypto's Bumpy Crash"

52:59 AI: Beyond Models to Simulation