Latest Interviews
Showing 391–405 of 1,633 interview transcripts.
Clear all filters- a16z1h 3m
The Lawyerly Society vs. The Engineering State: Who Owns the Future?
Dan Filgate frames the U.S.-China competition not as a race with a definitive winner, but as a complex synthesis where American strengths in wealth creation and intellectual property must balance against China's engineering-driven capacity for infrastructure and manufacturing. The analysis highlights critical frictions between the U.S. "lawyer culture," which often paralyzes industrial progress through legal hurdles, and China's ability to enforce large-scale goals despite systemic human rights concerns and IP vulnerabilities. Ultimately, the dialogue urges the United States to avoid complacency by adopting more functional industrial policies that prioritize physical production and logistical efficiency rather than rigid legalistic processes.
CEOs of Epirus & Galvanick on the Future of Defense & Cybersecurity
Andy Lowery, Joshua Steinman, Molly O'Shea
Epirus and Galvanic founder Joshua Steinman outline a strategic pivot toward countering autonomous drone swarms and industrial cyberattacks by leveraging U.S. dominance in phased array and gallium nitride technologies. Epirus is deploying second-generation Force Field Generators ready for Army testing, while Galvanic deploys AI-driven software to protect critical operational technology infrastructure from pre-positioned state-sponsored malware. Together, these initiatives address a national security imperative by reindustrializing domestic supply chains for high-powered components and automating the detection of physical threats that traditional IT security measures cannot stop.
Joby, Dirac & Allen Control: The Future of Air, AI Factories & Defense Tech
Molly O'Shea, Eric Allison, Filip Aronshtein, Steve Simoni
The Reindustrialize 2024 summit in Detroit highlighted strategic capital infusions and operational expansions by key players such as Joby Aviation, Dirac, and Allen Control Systems to address critical gaps in the American industrial base. Joby Aviation secured further funding and strategic partnerships to advance its FAA-certified eVTOL air taxi program, while Dirac deployed AI-driven software to automate manufacturing instructions and preserve tribal knowledge, and Allen Control Systems raised capital to scale its "Bullfrog" kinetic defense turret for drone warfare. Collectively, these developments reflect a broader industry urgency to reverse offshoring trends, reintegrate vertically controlled supply chains, and deploy domestic manufacturing solutions amidst evolving geopolitical and technological pressures.
- All-In Podcast1h 30m
Biggest LBO Ever, SPAC 2.0, Open Source AI Models, State AI Regulation Frenzy
Friedberg, Jason Calacanis, Chamath Palihapitiya, David Sacks
Electronic Arts is being taken private in a historic $55 billion transaction valued at $210 per share, driven by a consortium led by the Saudi Public Investment Fund and Silver Lake. The deal aims to shield the company from gaming gatekeepers like Microsoft and Sony while leveraging AI integration to optimize operations and create independent distribution channels. Concurrent discussions analyze the broader implications for the private equity sector, the strategic shift toward open-source AI models, and the urgent need for federal preemption to avoid a fragmented state-by-state regulatory landscape.
Vibe Coding, AI Valuations & the Supercycle | Navin Chaddha, Mayfield
The 2025 venture capital landscape is dominated by artificial intelligence, which absorbed 67% of global funding and created a 30.9% valuation premium for AI-native companies while leaving non-AI startups struggling to raise capital. Investors now prioritize founders with high emotional intelligence and proven execution over concepts, demanding consumption-based pricing models and "painkiller" solutions that deliver recurring revenue rather than relying on unsustainable hype. This shift is accelerating a projected $3 to $6 trillion automation opportunity in the knowledge worker sector, with market value migration moving from current infrastructure dominance toward applied AI and agentic technologies over the next decade.
Are Burn Multiples BS in an AI World? & Sam Altman Needs $1TRN of Energy
Sam Altman, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Venture capital strategy in 2025 has bifurcated into binary funding decisions driven by AI narratives or massive IPO potential, leaving non-AI growth companies struggling to secure capital despite strong fundamentals. As public market multiples face potential reversion, investors are increasingly favoring dominant market leaders while consolidating portfolio companies through M&A to create critical mass for public exits. Consequently, founders must navigate a high-stakes environment where traditional efficiency metrics are scrutinized for data honesty and political neutrality, forcing immediate acceptance of deals over valuation optimization.
- All-In Podcast54 min
Ro Khanna Calls Out Both Parties: Immigration, Tech & Free Speech
U.S. Representative Rohit "Roe" Khanna detailed his vision for immigration reform, border security, and economic patriotism during a fifth podcast appearance, advocating for skilled talent pathways while rejecting blanket visa fees and the zeroing out of asylum claims. The Representative criticized the Democratic Party for alienating the tech industry and emphasized the need for a forward-looking agenda focused on domestic revitalization, AI innovation, and bipartisan crime solutions rather than constant opposition to the Trump administration. Khanna also addressed immediate legislative crises, including the government shutdown caused by constitutional disputes over funding freezes, while reaffirming his commitment to banning congressional stock trading and warning against political violence fueled by an attention-driven media ecosystem.
- a16z52 min
Building an AI Physicist: ChatGPT Co-Creator’s Next Venture
Anjney Midha, Liam Fedus, Ekin Dogus Cubuk
Founded by co-creators of ChatGPT and DeepMind physicists, Periodic Labs operates a frontier AI research facility dedicated to advancing physical science by coupling Large Language Models with automated high-throughput experimentation. The organization deploys a unique "mid-training" methodology and physically grounded reward functions to overcome the epistemic limits of current models, specifically targeting the discovery of high-temperature superconductors exceeding 200 Kelvin. By integrating ML scientists, experimentalists, and simulators into a unified workflow, the company aims to replace theoretical predictions with real-world data loops, eventually expanding its "AI physicist" capabilities to serve aerospace, defense, and semiconductor industries.
- All-In Podcast1h 8m
Science Corner Special! David Friedberg, Cleo Abram, Alex Filippenko, and Keller Rinaudo Cliffton
David Friedberg, Cleo Abram, Alex Filippenko, Keller Rinaudo Cliffton
Vox alumna Cleo Abram, astrophysicist Alex Filippenko, and Zipline CEO Keller Renato Clifton converge to discuss the transformative potential of optimistic technology, from Abram's independent media platform that champions solutions over fear-mongering to Filippenko's insights on the James Webb Space Telescope's discovery of early galaxy formation and the critical funding crisis threatening scientific research. Clifton details Zipline's success in delivering over 115 million autonomous miles to save lives in developing nations and its rapid scaling in the U.S., arguing that reliable robotics are essential for future logistics and geopolitical stability. Together, these leaders emphasize that sustained investment in independent innovation and basic science is vital for creating better futures and expanding access to life-saving infrastructure globally.
- Sequoia Capital1h 0m
Block CTO Dhanji Prasanna: Building the AI-First Enterprise with Goose, their Open Source Agent
Dhanji Prasanna, Sonya Huang, Roelof Botha
Block CTO Dhanji Prasanna drives a strategic shift from a siloed management model to a centralized AI-first architecture, spearheading the "Goose" project that functions as an open-source agent to orchestrate workflows across internal systems. This initiative, which evolved from an internal hack week, enables high autonomy for engineers by integrating diverse LLMs and saving 25% of manual hours through shared, self-learning scripts. Looking forward, Block aims to transition from single-agent co-pilots to collaborative swarm intelligence by 2030, while simultaneously extending this technology to its public-facing Square AI for merchant financial simulations.
- a16z56 min
Anduril CEO: China Has Scale. Can America Catch Up?
Ben, Marc, Erik Torenberg, Brian Schimpf, Chris Power
A strategic assessment reveals a critical gap in U.S. defense industrial capacity, where Russia currently outproduces NATO on 155mm munitions and existing stockpiles would deplete within six to seven days of conflict. This deficit stems from decades of offshoring, an aging skilled workforce, and a reliance on technical superiority rather than mass production, leaving the U.S. unable to sustain high-intensity wars or effectively deter China in scenarios such as an invasion of Taiwan. To address these vulnerabilities, experts recommend a "factory-first" approach featuring government-backed long-term offtake agreements, concentrated capital investment in scaled manufacturing entities, and regulatory reforms to rebuild domestic supply chains and reinvigorate the talent pipeline.
- a16z59 min
The Common Thread of All Technology: Monitoring the Situation, Ep.1
Erik Torenberg, Katherine Boyle, Eddie Lazzarin
Eric Jackson, Mark Andreessen, and other industry leaders explore how a shared techno-optimist ethos unifies diverse sectors ranging from crypto and defense to consumer hardware, arguing that American innovation culture remains the primary competitive advantage against global rivals. The discussion also addresses critical societal shifts, including the redefinition of medical authority through AI diagnostics, the misaligned incentives driving rising ADHD diagnoses, and the changing role of traditional schooling in an era of hyper-specialized learning. Finally, panelists analyze the fragmentation of internet culture and the evolution of social media platforms like X, emphasizing their function as translation layers that bridge isolated digital subcultures while reshaping public discourse.
- All-In Podcast1h 24m
H-1B Shakeup, Kimmel Apology, Autism Causes, California Hate Speech Law
Jason, Jimmy Kimmel, Biden, Dave Friedberg, Chamath Palihapitiya, David Sacks, Nick
David Sacks and Chamath Palihapitiya discuss a proposed $100,000 fee for H-1B visas intended to eliminate labor arbitrage and systemic abuses in favor of a high-skilled auction model. The dialogue also covers the Trump administration's autism research on folate receptor autoimmunity and controversial links to prenatal acetaminophen use, alongside critiques of emerging political censorship laws in California. Finally, the hosts highlight significant AI infrastructure breakthroughs, including new MIT planning frameworks and German GPU architectures that promise orders-of-magnitude improvements in energy efficiency.
- Dwarkesh Patel1h 7m
Richard Sutton – Father of RL thinks LLMs are a dead end
Richard Sutton argues that true intelligence requires Reinforcement Learning systems to actively predict and adapt to a physical world through trial and error, contrasting this with Large Language Models that merely mimic human language patterns without establishing ground truth. He identifies the inevitability of AI succession as a new evolutionary stage, warning that future superintelligences must be engineered with high integrity and pro-social values to survive the risks of external corruption and logical divergence. Ultimately, Sutton contends that the most scalable path forward abandons human-imbued knowledge in favor of self-correcting experience-driven learning across distributed digital agents.
- 80,000 Hours1h 7m
An insider perspective on China and AI, from Biden’s NSA | The Cognitive Revolution
Biden, Jake Sullivan, Nathan Labenz, Luisa
Former National Security Advisor Jake Sullivan outlines a framework for US-China relations centered on "intensive management" of AI competition to prevent conflict while rejecting zero-sum outcomes or grand bargains. He emphasizes immediate national security risks, advocating for targeted semiconductor export controls to counter China's civil-military fusion and urging the US to accelerate domestic AI adoption within the military to avoid strategic stagnation. Sullivan dismisses the feasibility of near-term arms control treaties, instead favoring a pragmatic approach that addresses current disruptions like job displacement and misinformation while preparing for potential transformative AI scenarios.