Latest Interviews
Showing 61–75 of 4,859 transcripts.
Clear all filters- All-In Podcast1h 4m
Elon Musk & Gwynne Shotwell on AI Risks and Peer Review, Starship, Terafab, SpaceX/Tesla Merger
Elon Musk, Gwynne Shotwell, Chamath, Jason, Friedberg
SpaceX aims to land humans on Mars within the next decade while transitioning to a fully reusable Starship system by 2027, supported by a "fail fast" engineering culture and a management model that prioritizes hands-on technical leadership. Parallel to its space ambitions, the company is expanding into artificial intelligence and orbital compute infrastructure to ensure supply chain independence through a new TerraFab chip facility and to address existential safety risks via mandatory competitor peer reviews. Under the stewardship of long-tenured executives like Gwen Shotwell and Elon Musk, the organization continues to integrate its diverse ventures, including upcoming hardware reveals and Starlink global expansion, while maintaining a strict focus on hard engineering over bureaucratic processes.
- All-In Podcast47 min
Jensen Huang: The Doomer Hoax, Superintelligence is Here, and The Future of AI (ft. President Trump)
Jensen Huang, President Trump, Dario, Elon, Chamath, Jason, Friedberg, David
Jensen Huang highlighted NVIDIA's 97% year-over-year revenue growth while positioning the company as the exclusive infrastructure for all major frontier AI models. He rejected extinction-level risk narratives in favor of historical data, arguing that open-source models drive mass innovation despite concerns over supply chain bottlenecks and geopolitical competition from China. The event culminated in a private Oval Office discussion with President Trump, where both parties agreed that AI represents a critical economic engine for re-industrialization and energy infrastructure expansion.
- a16z50 min
Greg Brockman Says AGI Has Arrived
Greg Brockman, Ben Horowitz, Erik Torenberg
OpenAI's Greg Brockman declares the current era as the "AGI era," highlighting the breakthrough model Astra's ability to autonomously execute complex tasks over 24-hour periods via direct computer interface usage. Facing severe compute shortages and safety bottlenecks, the organization has pivoted to "pacing the frontier" by redirecting 25% of its engineering staff toward automated cybersecurity and launching a $1 billion initiative to support critical infrastructure defenders with discounted access. While consolidating product lines to prioritize operational safety, OpenAI aims to transform AI deployment from experimental R&D into a secure, high-volume infrastructure that enhances scientific discovery and lowers barriers for entrepreneurship.
How LPs Allocate to Venture in 2026: What They Want, What They Don’t | Baylor University CIO
David Morehead, Harry Stebbings
Baylor University's $2.6 billion endowment office, led by Moorhead, is restructuring its 55% private and 45% public portfolio to prioritize capital velocity and upside capture amidst declining enrollment and rising tuition pressures. The team distinguishes itself through a mechanistic deployment strategy, conservative valuation discipline, and direct GP negotiations that favor annualized growth equity returns of 30% over traditional fund duration models. While maintaining a neutral stance on private credit, the fund actively bets on the resilience of legacy SaaS, permitted data center infrastructure, and biotech, aiming to navigate its expansion into the single-digit billion scale by maximizing the absolute dollar impact of its $2.5 million core positions.
- The Diary Of A CEO1h 48m
The Man Who Predicted The Iran War: The Next 9/11 Will Target Your Bank Account! | Professor Jiang
Professor Jiang Xueqin, Steven
Professor Cheung argues that civilization is undergoing active collapse due to the fracturing of globalization, the end of US military hegemony, and the regression of technological progress defined by the interplay of specialization and global trade networks. He predicts a cascade of imminent geopolitical conflicts, including an uncontrollable Middle East escalation that could shatter the petrodollar system, inevitable war between China and Japan, and a potential US domestic crisis centered on Donald Trump's third term and a military siege of New York City. These destabilizing forces, rooted in the failure of the "Pax Americana," are expected to drive a twenty-year period of resource wars, famine, and systemic societal breakdown beginning in 2028 and solidifying by 2036.
- Milken Institute20 min
Conversation with Minister of Finance, State of Qatar H.E. Ali bin Ahmed Al Kuwari | GC 2026
Ali bin Ahmed Al Kuwari, Diane Brady
Despite Iranian-backed attacks disrupting LNG operations and halting some Qatar Airways flights, the state utilized strategic reserves and accelerated new production facilities to mitigate economic losses. The IMF projects an 8% contraction in 2024 growth followed by a full recovery, while Qatar maintains fiscal stability through robust reserves and reduced sovereign debt. Reinforcing its status as a vital global energy node, the nation has committed over $10 billion in new investments toward US technology and healthcare sectors to secure long-term strategic interests.
Labour, Engineering, Social Media, GrokBots, Cybercabs: 7 Predictions for How AI Changes the World
Matteo Franceschetti, Harry Stebbings
Eight Sleep Co-founder Matteo Franceschetti details how the company replaces traditional engineering and marketing teams with AI agents to operate as a 160-person entity generating revenue per employee exceeding Apple's. The presentation outlines the firm's aggressive global expansion into markets like China via super-apps and its strategic pivot from a hardware manufacturer to a medical platform while navigating intense talent retention wars and rising AI infrastructure costs. Franceschetti concludes with predictions on the future of work, suggesting that Universal Basic Income will eventually become necessary as AI-driven efficiency drastically reduces the demand for human labor.
- All-In Podcast1h 36m
AI Kills Everybody or Doomer Psyop? OpenAI’s Math Breakthrough, Nike’s $200B Collapse
Chamath, Jason, David Sacks, Nick, Freeberg, Sachs, Sax, Jamal, Jake, Zach, Shasha, Dario, Gavin, Jensen, Phil Hummuth, Nikesh
Podcast hosts characterize a coordinated campaign involving whistleblower Jacob Coxson and Anthropic executive Evan Hubinger as a strategic psyop designed to manufacture existential AI fears, thereby justifying the creation of a Federal Department of AI that would secure a regulatory duopoly for incumbent firms. This alleged narrative, which claims a greater than 10% probability of human extinction by 2030, simultaneously faces legal scrutiny regarding Anthropic's pending IPO and creates liability risks as leadership amplifies claims of inherent danger while attempting to attract public investors. Concurrently, the hosts argue that such "doomer" rhetoric serves as a mechanism for regulatory capture that stifles open-source innovation and threatens US competitiveness, a stance contrasted by industry leaders like NVIDIA's Jensen Huang who dismiss the extreme risk assessments as outlandish.
- Goldman Sachs11 min
What a Fed Rate Hike Could Mean for US Stocks
Jonathan Shugar, Chris Hussey, John Sugar
Goldman Sachs' cross-asset sales team marked the 25th anniversary of the 9/11 attacks while outlining a market outlook driven by an anticipated 50 basis point Federal Reserve rate hike and a projected S&P 500 target exceeding 8,000 points. The team identified the back end of the rate curve and surging AI infrastructure capital expenditures as primary risks, recommending 30-year swap payers to hedge against global fiscal deficits while favoring AI semiconductors and experiential consumer stocks as key growth opportunities. Additional strategic focus was placed on mitigating geopolitical energy disruptions in Europe and capitalizing on Brazil's upcoming election cycle as a potential counter-trend play.
- Dwarkesh Patel1h 37m
AI researchers debate how close we are to recursive self-improvement
John Schulman, Charlie O’Neill, Beren Millidge
Experts predict that while AI will function as full-time remote workers within three years, exponential takeoff before 2036 remains unlikely due to persistent generalization bottlenecks and sample efficiency gaps that prevent narrow benchmarks from scaling to broad real-world domains. The prevailing consensus suggests current architectures will plateau under diminishing returns on scaling, forcing a reliance on distillation and human-defined objectives rather than recursive self-improvement to drive the projected tenfold researcher productivity gains. Consequently, a dominant "ASI" model capable of mastering every cognitive and physical field is forecast only within five to ten years, contingent on overcoming fundamental barriers in non-cumulative task learning and environment creation.
- a16z48 min
How AI Is Rewriting the Power Law of Venture Capital
Jen Kha, David George, Aram Verdiyan
The summary details how an extreme power law in venture capital now demands that top-tier funds secure category-defining assets like SpaceX or OpenAI to generate returns, as traditional mid-stage investing has collapsed and late-stage exits increasingly favor early-stage franchise holders. Despite valuation distortions and structural misalignments between general partners and limited partners, capital is shifting aggressively toward AI-native growth and infrastructure bottlenecks like energy and data centers, which are viewed as the primary constraints on a projected $10 trillion market opportunity. This reallocation favors long-horizon investors who can tolerate early-stage loss rates up to 60% in exchange for the liquidity potential of future trillion-dollar companies emerging from robotics, autonomy, and deep healthcare innovation.
Saronic's 4 Co-Founders on Building a $9.25B Shipbuilder | Part III
Dino Mavrookas, Rob Lehman, Doug Lambert, Vibhav Altekar, Molly O'Shea
Ceronic, a hard tech manufacturer valued at $9.25 billion with $2.6 billion in funding, is addressing the critical U.S. naval shipbuilding deficit by developing autonomous surface vessels capable of surviving extreme accelerations exceeding 20 Gs. Partnering with Palantir and Path Robotics to secure aluminum supplies and master aluminum welding, the company is transitioning from low-volume prototyping to mass production models that utilize hardware-software co-design to reduce costs and eliminate personnel from harm's way. This industrial strategy aims to expand the U.S. fleet from 290 to 381 ships over three decades while creating a scalable, cost-effective platform for both defense operations and emerging commercial ocean markets.
Jensen Huang Declares AGI Has Arrived | Tesla Launches Cybercabs | Index Pulls Out of Town
Jensen Huang, Jason Lemkin, Rory O'Driscoll, Harry Stebbings
Jensen Huang, Jason Calacanis, and other industry leaders debated the arrival of AGI and the economic potential of AI in coding versus law while discussing critical safety breaches that bypassed current guardrails. The conversation also covered market dynamics where aggressive startups like Instinct challenge regulations, alongside autonomous vehicle unveilings by Elon Musk and a wave of record-breaking valuations and M&A activity. Ultimately, the panel warned of an impending "Neolab" bubble correction, emphasizing that only companies capable of rapid evolution or those with massive corporate backing will survive the current capital crunch.
- Goldman Sachs18 min
How AI is Affecting GDP Growth, Productivity, and Jobs
Sharmin Mossavar-Rahmani, Jan Hatzius
Goldman Sachs estimates that while AI currently contributes a modest 0.1 percentage points to U.S. GDP, it is driving $600 billion in domestic capital expenditure with projections reaching up to $7 trillion cumulatively by 2030. Over the next decade, these investments are expected to raise productivity levels by approximately 15% and push long-term growth forecasts into the mid-2% range, despite immediate headwinds from import deductions and capital reallocation. Although roughly 25% of work tasks are exposed to AI technology, analysis suggests only 6% to 7% will result in direct job elimination, leading to a gradual transition that may raise the unemployment rate by up to 1 percentage point over ten years without triggering a sudden labor shock.
- a16z1h 5m
Inside OpenAI’s Breakthroughs in Mathematical Reasoning
Lisha Li, Mehtaab Sawhney, Mark Sellke
The AI model Astra has achieved significant breakthroughs in pure mathematics by resolving open problems in sphere packing, spherical codes, and the existence of non-sofic groups through emergent reasoning capabilities like backtracking and parallel processing. These results demonstrate that large language models can synthesize complex algebraic structures and high-dimensional analysis without explicit programming, effectively closing long-standing gaps in asymptotic bounds and group theory. Consequently, the mathematical community is shifting its focus from theorem proving to the curation of problems and the interpretation of AI-generated insights, signaling a new era where human intuition complements machine persistence.