Latest Interviews
Showing 661–675 of 6,339 interview transcripts.
- a16z23 min
Digital Freedom, AI Regulation, and the Fight for the Western Internet | The a16z Show
The U.S. administration is prioritizing the development of a "Western AI stack" to counter adversarial nations and dismantle prior State Department censorship apparatuses by redefining public diplomacy around user empowerment and free speech. Key figures like Under Secretary Rogers are leading an office restructuring that rejects opaque foreign information integrity initiatives while countering EU regulatory threats that use digital safety laws to penalize protected political expression. This strategy aims to align AI policy with First Amendment principles, ensuring that transparency, individualistic reasoning, and user-driven moderation tools serve as the primary defense against authoritarian models and foreign viewpoint-skewed legislation.
Shopify CEO on How AI is a Scapegoat for Mass Layoffs & Trump Derangement Syndrome in Canada
Shopify founder Tobias Lutger outlines a leadership philosophy centered on long-term vision and "heat source" management, citing his strategic decision to launch the company's 2015 IPO at a premium valuation to align with investors rather than short-term bankers. He details the firm's current pivot toward a 100x productivity increase by deploying the "River" AI system to handle over half of code generation, effectively shifting senior engineers from coding to steering autonomous agents. Lutger further advocates for a deregulated economic model where private sector innovation, rather than government intervention or "climate cult" rhetoric, drives wealth creation and infrastructure development.
- The Diary Of A CEO1h 58m
Scott Galloway: The Rich Are Quietly Preparing For The AI Collapse
Professor Scott Galloway argues that the United States and the artificial intelligence sector face a simultaneous crisis of reputation driven by perceived government corruption and a narrative shift where AI benefits only the wealthy. He contends that tech leaders employ exaggerated job destruction fears as fundraising tactics while ignoring societal costs, a strategy that risks severe economic disruption if employment falls too sharply too quickly. Ultimately, Galloway predicts an inevitable market correction and advises investors and workers to prioritize resilience, storytelling skills, and disciplined long-term saving rather than chasing speculative valuations.
Inside Clay's Sales Playbook | Becca Lindquist
Clay, Becca Lindquist, Harry Stebbings
Clay Head of Sales Becca Lindquist outlines a high-growth strategy that prioritizes hiring adaptable, data-driven "high-slope" candidates while enforcing a strict compensation model targeting a 7.5x quota-to-OTE ratio. Her approach combines a zero-tolerance policy for stagnation and ego with aggressive AI integration to scale SDR productivity and build a collaborative, winning culture. These methods have enabled the company to achieve $100 million in annual recurring revenue by focusing on deep domain expertise, rigorous forecasting, and performance-based incentives over rigid playbooks.
- The Economist8 min
Are AI models running out of power? | The Economist
Facing severe hardware shortages and monopoly choke points where Nvidia and TSMC dominate supply, major AI developers like OpenAI and Anthropic are throttling services and redirecting resources to manage capacity. In response to these constraints, five cloud providers plan a $700 billion infrastructure build-out while companies grapple with three-to-five-year lead times for essential components and aging chip inventories. This fundamental mismatch between rapid software cycles and slow physical production is projected to reverse declining inference costs, potentially raising prices and slowing overall industry adoption.
- All-In Podcast1h 21m
OpenAI Misses Targets, Codex vs Claude, Elon vs Sam Trial, Big Hyperscaler Beats, Peptide Craze
Elon, Sam, Friedberg, Jason Calacanis, David Sacks, Chamath Palihapitiya
OpenAI faces mounting structural tensions as it misses 2025 revenue and user targets while CEO Sam Altman pushes for an IPO against CFO Sarah Fryer's caution amidst $600 billion in future compute commitments. The company currently maintains a compute advantage over rivals like Anthropic through excess data center capacity, even as the broader AI sector grapples with power grid bottlenecks and a record $725 billion in hyperscaler capital expenditures for 2026. Concurrently, Elon Musk pursues a $150 billion lawsuit alleging a breach of charitable trust following internal documents revealing plans to remove him before the entity's conversion to for-profit status.
- The Economist6 min
How high could the oil price go? | The Economist
Zanny Minton Beddoes, Edward Carr, Mathieu, Henry
Global oil markets face a structural crisis where a 14 million barrel-per-day supply deficit has eroded the "sanguine" expectation of a quick peace deal, creating a price disconnect that literature estimates would require $167 to $460 per barrel to correct. With production gains from non-conflicted regions proving negligible, the market is currently absorbing this shortfall through record-fast inventory drawdowns of 8 to 10 million barrels daily, driven by pre-war shipments and sanctions-induced cargo displacement. As critical buffers for jet fuel and diesel approach minimum levels and logistical constraints lengthen trade routes, the only remaining adjustment mechanisms involve further depletion of commercial stocks or active demand destruction in major consuming regions like Asia.
- Sequoia Capital27 min
Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy
Dmitri Dolgov, Konstantine Buhler
Dmitry Dolgov, Waymo's co-founder, outlines a 21-year evolution from DARPA challenges to a sixth-generation autonomous fleet that has achieved 200 million fully autonomous miles and delivered over 20 million rides with a safety profile 13 times superior to human drivers. The company's architecture utilizes a multimodal "Foundation Model" integrating physics reasoning and spatial understanding to power a structured, end-to-end system across 11 cities, now accelerating toward global expansion in London and Tokyo through the newly launched Waymo Origin vehicle. This mission-driven approach bypasses incremental improvements to rapidly scale commercial deployment, treating full autonomy as an existential imperative to eliminate the 13 million annual road fatalities while transitioning the core technology into a primary family transportation tool.
- Goldman Sachs15 min
Riding the AI Wave
The April 30 FOMC meeting revealed a divided Federal Reserve committee that shifted from expectations of a near-term rate cut to a non-committal stance, a position reinforced by the incoming appointment of hawkish member Kevin Warsh. While private sector leverage has decreased since the Great Financial Crisis, concerns regarding public sector debt sustainability and elevated term premiums persist alongside a robust equity rally driven by hyperscalers and artificial intelligence. Investment strategists consequently maintain a bullish but cautious 7/10 allocation to technology, avoiding fixed income while rotating into energy and defense to hedge against potential consumer drawdowns expected in the mid-year "air pocket."
- Y Combinator38 min
Recursion Is The Next Scaling Law In AI
Ankit Gupta, Francois Chaubard
Two 2025 research initiatives, Hierarchical Reasoning Models (HRM) and Tiny Recursive Models (TRM), challenge standard scaling laws by utilizing inference-time recursion to achieve state-of-the-art reasoning with drastically fewer parameters. HRM reaches 27 million parameters using a three-level weighted hierarchy, while the simplified TRM distills the architecture to just 7 million parameters yet achieves 87% accuracy on ARC-Prize benchmarks by treating recurrence as a dynamic latent memory tape. These systems overcome historical RNN limitations through Deep Equilibrium Models and latent recursion, offering a pathway to efficient, deep reasoning that diverges from traditional Chain-of-Thought constraints.
- Sequoia Capital28 min
OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck
OpenAI executives estimate they are 80% toward achieving AGI, a milestone driven by aggressive compute acquisition strategies and architectural innovations that currently enable AI to autonomously engineer software kernels. The organization is pivoting toward an enterprise and consumer model where a single AGI entity handles complex goals, urging startups to leverage agentic coding tools for massive productivity gains while navigating a landscape where human attention has become the primary bottleneck. This shift is underpinned by anticipated scientific breakthroughs in physics and biology, alongside internal reforms designed to manage the risks of autonomous agents within a future where humans oversee teams of AI rather than writing code manually.
Anthropic Raises $45B but Falls Short on Compute & Thoma Bravo Hand Back Medallia Keys to Creditors
Jason Lemkin, Rory O'Driscoll, Harry Stebbings
The event analyzes a pivotal shift in the AI landscape where market competition is evolving from human-led selection to autonomous AI-agent vendor choices, creating a three-way oligopoly among OpenAI, Anthropic, and Google. Strategic dynamics are further complicated by regulatory friction, such as China blocking Meta's acquisition of Manus, and severe private equity distress driven by the obsolescence of legacy enterprise software. Investors are responding by consolidating venture capital portfolios around massive, infrastructure-focused bets like NVIDIA while liquidating human-centric tools like Figma and Duolingo that face existential risk from agent-driven workflows.
The $10 Trillion Bet on Humanoid Robots | Figure Founder Brett Adcock
Founded by Archer eVTOL creator Brett Adcock, Figure AI pursues the commercialization of general-purpose humanoid robots capable of operating autonomously for extended shifts across diverse industries. Having raised nearly $2 billion with a $39 billion valuation, the company recently terminated an OpenAI partnership to maintain control over its vertically integrated hardware and AI stack, aiming to triple production by May and deploy thousands of units within the year. Despite facing technical hurdles in scaling reliability, Figure projects a market opportunity worth trillions as it transitions from prototype testing to mass commercial deployment in homes and factories.
- The Diary Of A CEO1h 41m
Stock Expert: Becoming Rich Is Simple, But You Won’t Do It!
PWL Capital's Ben Felix leverages decades of academic research to challenge conventional financial wisdom, arguing that long-term success relies more on behavioral discipline than technical expertise. The presentation outlines a strategy prioritizing low-cost global equity exposure while identifying ten critical mistakes, ranging from undervaluing human capital to the hidden costs of homeownership and the inefficiencies of market timing. By applying frameworks like the PERMA model to goal setting and advocating for 100% equity allocation, the session provides a comprehensive roadmap for navigating retirement planning, AI-driven economic shifts, and inevitable market volatility without emotional interference.
- Dwarkesh Patel2h 14m
How GPT, Claude, and Gemini are actually trained and served – Reiner Pope
John Mueller Jr. discusses the technical and economic drivers behind AI inference architectures, detailing how startups like Maddox optimize for memory bandwidth bottlenecks and latency bounds in sparse Mixture of Experts models. The analysis highlights that frontier models are currently overtrained by a factor of 100x relative to scaling laws, a phenomenon that dictates current API pricing structures for context length and caching tiers. Finally, Mueller explains how industry scaling is shifting toward larger single-rack domains to maximize expert parallelism while utilizing reversible network techniques to mitigate training memory constraints.