Latest Interviews
Showing 961–975 of 4,776 transcripts.
Clear all filters- 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.
Atlassian CEO, Mike Cannon-Brookes on Why Everything is Overvalued & Are We in an AI Bubble
Mike Cannon-Brookes, Harry Stebbings, Scott Farquhar
Atlassian Co-CEO Mike Cannon-Brookes discusses a strategic bet on multi-model AI adoption and "vibe coding" to empower non-technical employees while expanding the engineering workforce over the next five years. He outlines the longevity of the company's co-CEO dynamic with Scott Farquhar, which relies on a strict 60–80% operational overlap and a unique dispute resolution clause to navigate market volatility and uncertain AI monetization. Cannon-Brookes concludes by framing the organization's future around "creating rather than defending" to combat corporate entropy, urging a shift toward per-value pricing models as the industry faces a Cambrian explosion of new, yet unproven, AI business structures.
- 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.
- The Diary Of A CEO2h 6m
Neil deGrasse Tyson: The Harsh Truth About Horoscopes (sorry but it’s true)
Neil deGrasse Tyson challenges the societal reliance on non-scientific belief systems like astrology and tribal religion, arguing that they obscure the objective biological and cosmic reality that unites all humanity. He posits that mortality is essential for meaning and urges individuals to actively construct purpose through scientific inquiry and wisdom rather than seeking pre-existing truths. Furthermore, Tyson warns that declining scientific literacy and the potential rise of irrelevant humanity under advanced AI threaten the future stability of civilization unless voters prioritize evidence-based education.
- The Economist10 min
Who will run Gaza?
Zanny Minton Beddoes, Greg, Patrick, Zannie, Ed
Experts assess that Hamas will likely retain lighter arms while potentially depleting heavier weaponry, driven by ideological identity and fears of local reprisals. The proposed Trump peace plan outlines a corporate-style transitional authority led by President Trump and former Prime Minister Tony Blair, employing technocrats to manage civil services amid disputes between the Palestinian Authority and Hamas over governance representation. This model diverges from the Oslo Accords by prioritizing reconstruction and external pressure to shift public opinion, though recovery depends heavily on Israel allowing building materials into a territory where 80% of structures have been destroyed.
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.
- RAISE Summit10 min
Matt Hicks, Red Hat ｜ RAISE Summit 2025
At the RAIDS Conference 2025 in Paris, Red Hat unveiled its strategic shift toward sovereign AI infrastructure, introducing products like the Red Hat Inference Server and OpenShift Lightspeed to optimize open-source model deployment across enterprise environments. By partnering with major hardware and cloud providers including NVIDIA and AMD, the company aims to resolve critical GPU utilization bottlenecks and control token costs, thereby enabling scalable agentic workloads that transition from experimentation to production. This approach positions software innovation, specifically through tools like VLLM and LLMD, as the primary driver for maximizing efficiency in a landscape where hardware performance is plateauing.
- RAISE Summit8 min
Vipul Ved Prakash, Together AI ｜ RAISE Summit 2025
Vipul Ved Prakash, John Furrier, Aviv Paul
Co-founded by Paul Ved Prakash, Together AI operates as an AI acceleration cloud that recently deployed a high-density Grace Blackwell 200 cluster in Memphis to deliver 1.4 petaflops of computing power for large-scale model training. The platform hosts over 200 open-source models and drives significant growth among "AI-native" customers by integrating specialized infrastructure for thermal management and dynamic workload orchestration. As the market shifts toward "Agentech," the company addresses generative AI limitations through test-time compute mechanisms and parameter-efficient inference techniques that enable complex, multi-step reasoning workflows.
- RAISE Summit16 min
Prashanth Chandrasekar, Stack Overflow ｜ Raise Summit 2025
Prashanth Chandrasekar, John Furrier, Prashant Thir
Stack Overflow CEO Prashant Thir highlights a critical market shift where high AI adoption clashes with declining trust, driving a demand for human-in-the-loop validation to counteract generic content and hallucinations. The company leverages its official data licensing agreements with major AI labs to boost model accuracy by 30–40% while simultaneously expanding enterprise offerings like Uber's Genie into dynamic knowledge intelligence layers. This strategy combines a growing revenue stream from AI reinforcement learning and data licensing with a community vision to transform the platform into a "trust network" that blends expert curation with AI speed.