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In this tech-focused episode, hosts Preston Pysh and Seb Bunney explore the rapidly evolving landscape of artificial intelligence, space technology, and sound money. (04:37) The conversation dives deep into AI safety concerns raised by former Google researcher Tristan Harris, examining the tension between advancing AI capabilities and maintaining human control. (11:30) The hosts also discuss revolutionary cost reductions in space launches through SpaceX's reusable rocket technology and their implications for space-based computing. (44:21) They analyze Tesla's chip development strategy and explore how sound money principles via Bitcoin could serve as a counterbalance to AI-driven economic concentration.
Preston Pysh is the host of Infinite Tech by The Investor's Podcast Network and a former West Point cadet who completed an internship at NASA's Johnson Space Center working in the astronaut office. He brings a unique perspective on technology investing and Bitcoin advocacy, having spent over a decade in podcasting and financial education.
Seb Bunney is a tech analyst and author of "The Hidden Cost of Money" who regularly appears on Infinite Tech for monthly technology roundups. He provides insights on emerging technologies, monetary policy, and their intersection with innovation trends, helping filter signal from noise in the rapidly evolving tech landscape.
The discussion around Tristan Harris's concerns about AI safety reveals a critical tension between rapid AI development and safety considerations. (04:37) While global AI competition creates pressure to prioritize speed over safety measures, the hosts emphasize that effective AI safety comes from optimizing for truth-seeking and proper incentive alignment rather than heavy-handed regulation. The key insight is that competition for building better, safer AI systems through market forces may be more effective than attempting to coordinate global policy responses that could stifle innovation or drive development to less regulated jurisdictions.
A Bitcoin standard would fundamentally change how large technology companies operate by introducing real consequences for poor decisions. (22:05) Currently, companies can rely on bailouts and easy access to capital through fiat monetary systems, but sound money would force creative destruction to actually occur. When companies make mistakes under a Bitcoin standard, they would have to sell assets and face market discipline rather than receiving government assistance. This creates a natural regulatory environment where capital flows to value-creating entities and away from those making poor decisions.
SpaceX has already reduced space launch costs by 99% from historical levels, and further reductions are projected. (41:57) The cost to launch materials to space has dropped from $65,400 per kilogram with the Space Shuttle to $1,400 per kilogram with Falcon Heavy, with projections reaching as low as $10 per kilogram through Starship's full reusability. This dramatic cost reduction opens entirely new possibilities for space-based computing and manufacturing that were previously economically impossible.
As AI becomes capable of deep specialization in narrow domains, human value increasingly lies in cross-disciplinary thinking and synthesis. (37:35) The ability to connect insights across multiple fields, ask better questions, and apply first principles thinking becomes more important than memorizing specific information. This trend favors individuals who cultivate broad knowledge bases and strong attention spans over those who focus solely on narrow expertise, as AI can handle the specialized tasks while humans provide the creative connections between domains.
Tesla's development of custom AI chips represents a strategic move toward vertical integration that mirrors Apple's success with the M-series processors. (65:05) By controlling chip architecture, software, and manufacturing in-house, Tesla can optimize performance in ways that competitors relying on third-party solutions cannot match. The AI5 chip delivers 40x performance improvement with 8x more compute and 9x more memory capacity, while the forthcoming AI6 promises even greater advances. This level of integration across hardware, software, and services creates compound advantages that become increasingly difficult for competitors to replicate.