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Preston Pysh and Seb Bunny explore the cutting-edge intersection of AI, healthcare, and emerging technologies in this fascinating episode of Infinite Tech. (05:20) The conversation kicks off with personalized genetic analysis and how AI is revolutionizing supplement protocols, then shifts to Google's ambitious space-based data centers project and the technical hurdles involved. (26:21) They dive deep into AI's transformation of education through personalized learning systems, before tackling the complex world of AI regulation and bias. The episode concludes with cutting-edge haptic touch technology and its implications for VR and robotics.
Preston is the host of Infinite Tech and co-founder of The Investor's Podcast Network. He's a West Point graduate and former military officer who has become a prominent voice in Bitcoin, investing, and emerging technologies. Preston brings a unique perspective combining financial markets expertise with deep technical understanding of exponential technologies.
Seb is the author of "The Hidden Cost of Money" and co-host of Infinite Tech. He brings extensive experience in finance and economics, with a particular focus on Bitcoin and monetary systems. Seb has been deeply exploring personalized healthcare and AI applications, offering practical insights from his own experiences with genetic testing and supplement optimization.
Gary Brecker's approach to personalized health represents a fundamental shift from one-size-fits-all medicine to customized treatment protocols. (05:20) By analyzing specific genes like MTHFR, MTR, COMT, and CBS, healthcare providers can determine exactly which supplements and treatments an individual needs based on their unique genetic makeup and methylation pathways. This approach moves beyond intuitive supplementation to data-driven health optimization. Seb's personal experience demonstrates the power of this method - after discovering a mutation in his MTHFR gene through genetic analysis, simply adding B12 vitamins resulted in significant health improvements and he went years without getting sick until recently.
Google's Project Suncatcher represents an ambitious moonshot to harness solar energy more efficiently in space, but faces significant challenges before becoming viable. (20:37) The project requires launch costs to drop by 10x from current levels to make economic sense, while technical challenges include extreme temperature cycling every 45 minutes and reliability concerns for hardware in orbit. Despite being 8 times more efficient at harnessing solar energy than Earth-based systems, the infrastructure investment and risk factors make this a long-term bet rather than a near-term solution.
Traditional educational systems designed for the Victorian era workforce are giving way to AI tutors that can customize learning to individual students' pace, interests, and learning styles. (29:38) Google's "Learn Your Way" platform demonstrates how AI can convert static textbooks into dynamic content like mind maps, audio lessons, and interactive quizzes tailored to each student. Early tests show 11% improvement in recall rates, with the potential for much greater gains as the technology matures. This addresses the fundamental problem of treating all students like "fish trying to climb trees" when they have vastly different learning preferences and aptitudes.
Google's Titans architecture represents a breakthrough in AI long-term memory by implementing surprise-based information retention, similar to human cognitive processes. (54:51) The system can process 10 million tokens while maintaining 70% accuracy by using gradient calculations to identify unexpected or important information worth storing. This approach directly parallels Claude Shannon's information theory principle that information equals surprise - the AI remembers what deviates from its training data expectations while discarding predictable or repetitive content, just like humans retain surprising social media posts while forgetting mundane ones.
Advanced haptic sensors measuring just 1.1 millimeters are enabling unprecedented tactile experiences in virtual reality and robotics applications. (62:15) These sensors can create both pressure and high-frequency vibrations, allowing people to feel textures, shapes, and surfaces remotely - imagine wearing gloves that let you feel what someone else is touching across the globe. For robotics, this technology is crucial for delicate tasks like handling eggs without crushing them or performing surgery. While currently expensive ($10,000-$50,000 per set), a 10x cost reduction could make this technology mainstream for both consumer VR experiences and household robotics.