Latest Interviews
Showing 556–570 of 2,590 transcripts.
Clear all filters- a16z1h 9m
Marc Andreessen on the State of Film and Hollywood
Marc Andreessen, Erik Torenberg, Katherine Boyle
Mark analyzes the decline of cinema's cultural dominance since the 1990s, attributing recent failures to a conservative studio model, the removal of long-tail revenue streams, and a "Capital M Message" that stifled creative risk-taking. While 2024 has begun to reverse this trend with commercially successful projects like the *Naked Gun* reboot and the socially grounded *Eddington*, the industry remains hesitant to adapt Ayn Rand's *Atlas Shrugged* due to feared backlash. Looking forward, the rise of AI is positioned to democratize filmmaking by bypassing traditional gatekeepers, potentially shifting the medium toward decentralized satire and political expression.
Elad Gil of Gil Capital, Gil & Co. & Enigma Global
A seasoned investor with a career spanning Google and Twitter outlines a strategy to fund 150 to 225 companies by combining thesis-driven AI investments with energy-focused roll-ups to address infrastructure bottlenecks. The speaker warns that while current AI valuations carry a 30% premium, the sector's long-term growth is strictly limited by nuclear energy availability and suggests that structural shifts may allow successful firms like SpaceX to remain perpetually private. Complementing this financial analysis, the investor is launching a Monument Project to erect 15-to-20-foot public art installations in major US cities designed to inspire future generations for centuries.
- All-In Podcast51 min
1929 vs 2025: Andrew Ross Sorkin on Crashes, Bubbles & Lessons Learned
Andrew Ross Sorkin, Chamath, Friedberg
Author Andrew Ross Sorkin leverages extensive primary source research to recount the 1929 stock market crash through character-driven narratives involving key figures like Charles Mitchell and Carter Glass, emphasizing structural drivers such as consumer credit expansion and regulatory voids. The discussion draws explicit parallels between the speculative mania of the 1920s and contemporary markets, analyzing modern risks including circular AI investments, regulatory stagnation in private credit, and US economic dependence on tech giants. Sorkin concludes that while current leverage differs in scale, the underlying social contagion and political inertia regarding fiscal sustainability suggest a fragile environment where true productivity gains from artificial intelligence remain uncertain.
- a16z1h 5m
Ben Horowitz and Ali Ghodsi: How to Run a $100 Billion Business
Ben Horowitz, Ali Ghodsi, Sarah Wang, Erik Torenberg
In 2016, Databricks CEO Ali Ghodsi executed a critical strategic pivot from open-source distribution to a B2B enterprise sales model to overcome the open source paradox and secure proprietary revenue. This transformation required hiring non-PhD sales veterans and forging a high-stakes Microsoft partnership that aligned Databricks' technical capabilities with Microsoft's massive distribution channel. Under Ghodsi's leadership, the company maintained a rigorous acquisition strategy prioritizing cultural fit over immediate financial metrics while retaining top engineering talent through competitive compensation and a private equity structure.
- All-In Podcast29 min
Inside Orlando Bravo’s Private Equity Playbook: How to Build a Top Firm
Orlando Bravo, David, Chamath, Jason
Toma Bravo, a $179 billion asset manager founded by Orlando Bravo, executes a specialized software buyout strategy that targets high-growth leaders to improve EBITDA margins from 25% to over 50% through immediate operational overhauls and disciplined add-on acquisitions. The firm leverages a lean 230-person team to manage a portfolio of roughly 500 companies, recently executing major transactions like the $12.5 billion Dayforce deal while navigating AI-driven market shifts that are reshaping enterprise software valuation models. By maintaining a private structure focused on deep portfolio involvement rather than public liquidity, Bravo aims to counter traditional private equity criticisms and consistently deliver returns by transforming first-in-class innovators into scalable, highly profitable enterprises.
- All-In Podcast11 min
Bryan Johnson’s Best Health Hack: Lower Your RHR Before Sleep = Sleep Better and Live Longer
Brian Johnson presents an ambitious framework positioning the indefinite extension of human life as a new global ideology, utilizing biological age testing to illustrate that organs age independently and require targeted management. He identifies resting heart rate as the primary health metric and details a specific protocol involving strict sleep hygiene, diet timing, and screen discipline to lower this rate by approximately 10%. This approach aims to reverse aging trends while simultaneously treating sleep as the fundamental intervention for anxiety and depression, ultimately preparing humanity for a future defined by superintelligence.
- All-In Podcast19 min
Cathie Wood on How AI Can Double GDP, Bull Case for Bitcoin $1M, Elon’s Trillion-Dollar Pay Package
ARK Capital projects a near-future US GDP acceleration to 7% driven by the convergence of five innovation platforms, a trajectory that investor Cathie Wood attributes to both technological deflation and the Trump administration's tax policies. The firm forecasts a significant market broadening away from the "Mag 6" toward disruptive sectors like autonomous mobility and multi-omic healthcare, with a targeted 40–50% compound annual return for innovation equities over the next five years. Supporting this thesis, ARK maintains a bullish $2,600 price target for Tesla and a valuation model suggesting Bitcoin could reach $3.8 million, while advocating for regulatory reforms to expand private market access to retail investors.
- Sequoia Capital45 min
Why AI Will Transform Customer Experience: Cresta CEO Ping Wu and Sequoia’s Doug Leone
Ping Wu, Doug Leone, Sonya Huang
Cresta addresses the high attrition and fragmented experience of the global contact center industry by deploying a hybrid model of human agent assistance and autonomous digital agents that operate on legacy systems with under 800-millisecond latency. This approach leverages twenty simultaneously orchestrated AI models to capture the $75 billion in revenue-generating interactions historically lost to inefficiency, while Sequoia's Doug Leone anticipates the application layer becoming the primary locus of value in an "Industrial Revolution 2.0." The company aims to render the distinction between human and AI agents indistinguishable within 20 to 30 years, ultimately creating continuous, personalized customer journeys that span the entire lifecycle.
- a16z51 min
Will LLMs Get Us To AGI?
Martin and Vishal define Artificial General Intelligence as the capacity to generate entirely new scientific paradigms rather than merely interpolating within existing data manifolds, a capability they argue current Large Language Models lack despite their sophisticated Bayesian reasoning. They detail a formal Matrix Abstraction Model explaining how in-context learning functions as evidence-based posterior updates, while simultaneously critiquing the industry's reliance on prompt engineering and empirical scaling as insufficient for achieving recursive self-improvement or true innovation. The discussion concludes that a fundamental architectural leap beyond probability-based transformers is necessary to transition from generating "confident nonsense" to producing outputs that fall completely outside training distributions.
Inside The $2.2B AI Research Accelerator | Turing
Jonathan Siddharth, Molly O'Shea
Turing, a profitable AI infrastructure firm valued at $2.2 billion, serves nine frontier labs by deploying a global network of four million engineers to generate expert data for training superintelligence models. The company distinguishes itself from traditional data labelers by combining smart human sourcing with proactive research to advance coding, reasoning, and multi-modality pillars while challenging the dominance of commodity data services. Facing a market where internet-based pre-training data is exhausted, Turing aims to capture a $30 trillion opportunity by replacing legacy consulting models with agentic systems that automate complex enterprise knowledge work.
- Goldman Sachs8 min
Can the Rally Continue?
Ashok Varadhan maintains a constructive outlook on U.S. equities, projecting a policy interest rate normalization near 3% within the year and a market consolidation in the fourth quarter before a 2026 resumption. While advising investors to remain long and hedge downside risks through cheaply priced puts during a low-volatility environment, he identifies a structural shift away from fiat currencies into assets like Bitcoin and AI-driven stocks as a response to fiscal expansion. This strategy navigates potential Q4 risks from a government shutdown that delays critical economic data, ensuring the portfolio capitalizes on the enduring technological investment cycle while accounting for tariff absorption and crowded consensus positions.
- The Economist13 min
Has science finally cracked the secret to invisibility?
Alok Jha, Professor Sir John Pendry, John Pendry
Physics professor John Pendry introduced metamaterials as geometrically engineered structures capable of manipulating light paths to achieve the effects described in his "invisibility cloak" concept. This theoretical framework, initially named by Pendry's wife to aid a 2005 DARPA presentation, faced early skepticism before David Smith's team at Duke University successfully constructed a functional prototype for radar waves. The field has since evolved from resolving debates over negative refraction to experimental recreations of conditions existing near black holes.
- All-In Podcast28 min
Sequoia’s Roelof Botha: Why Venture Capital is Broken & How Great Companies Are Built
Sequoia Capital, led by a third generation of partners, sustains its legacy by prioritizing long-term value creation and consensus decision-making over aggressive fee maximization. The firm counters industry capital overhang by deploying proprietary AI tools and maintaining a selective investment strategy that has historically generated trillions in public market value through companies like Apple and Nvidia. While navigating geopolitical shifts by separating its Chinese operations and adapting to a regulatory landscape that has drastically reduced startup formation there, Sequoia continues to back founders with exceptional curiosity despite unconventional profiles.
- Milken Institute22 min
Actress Shefali Shah: Stories that Move; Strength that Inspires | Asia Summit 2025
Shefali Shah, Teresa Whang, Curtis S. Chin
Acclaimed actress Shefali Shah, known for her Emmy-winning role as DCP Shreya Sharma in Netflix's *Delhi Crime*, discusses the industry's shift from limiting stereotypical roles to complex character portrayals. She details the upcoming third season of the series, which tackles human trafficking and bride sales through a narrative blending multiple true cases, while highlighting her work in *The Three of Us* and *Adolescence* to explore dementia and social media's impact on children. Shah further emphasizes her advocacy for women's and children's safety, urging audiences to view her award-winning projects to understand these critical social issues.
- Y Combinator13 min
This Startup Is Trying To Delete 29% Of All CO2 Emissions
Remora has launched a solid-pellet based carbon capture system that reduces CO2 emissions by up to 90% in hard-to-electrify diesel trucks and freight trains, converting the captured gas into beverage-grade CO2 for commercial reuse. Backed by $117 million in venture capital, the Detroit-based company is vertically integrating its manufacturing to deploy modular retrofits to major partners like Ryder and Union Pacific while testing the technology on a repurposed locomotive. Co-founders Paul Gross and Christina Reynolds aim to scale this point-source solution to capture one billion tons of carbon annually by overcoming the logistical challenges of retrofitting diverse vehicle fleets.