Latest Interviews
Showing 826–840 of 1,595 transcripts.
Clear all filtersRyan Wiggins: Scaling WhatsApp from 0-100M; How to Build a Growth Team; Mercury Neobank | E1016
Ryan, a former Growth Marketing lead at Facebook and WhatsApp who now scales Mercury, outlines a holistic growth philosophy that prioritizes fixing retention leaks and identifying a single high-impact lever over executing numerous minor hacks. He advises founders to delay hiring growth teams until product-market fit is established, emphasizing that the first leader must be a strategic architect capable of building systems rather than a tactical executioner. Drawing from WhatsApp's experience of reaching 1.5 billion users without early A/B testing, Ryan argues that sustainable scaling relies on native product experiences and direct customer empathy rather than expensive ad formats or vanity metrics.
- Jane Street1h 0m
The Future of Programming with Richard Eisenberg
Richard Eisenberg joined Jane Street's tools and compilers team to lead the development of "unbox types" for OCaml, a feature designed to eliminate runtime pointer indirections while retaining garbage collection. Previously an eight-year Haskell ecosystem contributor who chaired the Haskell Foundation, Eisenberg brings extensive experience in type theory and compiler design to address OCaml's memory representation challenges. His work involves a careful trade-off between parametric polymorphism and performance optimization, tested internally before seeking community consensus for upstream integration.
- The Diary Of A CEO1h 7m
Mia Khalifa Opens Up About The Dark Side Of The Adult Entertainment Industry | E248
Mia Khalifa, Steven, Sarah Joe Chamoun
Former adult film star Sarah Jo discusses her transition from a predatory entry into the industry at age 16 to becoming a business owner and author with over 50 million followers. Drawing on her struggles with colorism, depression, and non-consensual content retention, she advocates for legal reforms regarding "in perpetuity" contracts and details the therapeutic journey that enabled her to launch her jewelry brand, Shaitan. Jo further promotes her upcoming book, *The Diary of a CEO*, while warning of future threats to bodily autonomy posed by AI deepfakes and offering her philosophy on achieving happiness through solitude and self-acceptance.
Emad Mostaque: These 5 Companies Will Win the AI War & Why We Need National Data Sets
Emad Mostaque, Harry Stebbings
Emad Asimolowo, CEO of Stability AI, forecasts a turbulent near-term future for generative AI driven by capital misalignment and data toxicity, predicting a consolidation where only five to six foundation model companies will dominate the market. He advocates for a pivot toward curated national datasets and open-source infrastructure to enable personalized healthcare, ensure regulatory compliance, and prevent the stagnation caused by proprietary "black box" systems. Looking ahead, Asimolowo envisions a deflationary economic shift where AI agents transform traditional industries and social dynamics, provided that leaders prioritize high-quality data curation and psychological safety over rapid, unchecked deployment.
Yann LeCun: Meta’s New AI Model LLaMA; Why Elon is Wrong about AI; Open-source AI Models | E1014
Yann LeCun, Elon, David Marcus, Harry Stebbings
Yann LeCun traces the historical resurgence of deep learning from his 1980s postdoctoral work with Jeff Hinton and Yoshua Bengio to his prediction that current autoregressive large language models will soon become obsolete due to their lack of planning capabilities and persistent memory. He advocates for a shift toward open-source ecosystems that enforce hardwired safety constraints and hierarchical objectives, arguing that such architectures will replace text prediction with systems capable of genuine world modeling and common sense. LeCun concludes by dismissing doomer narratives and mass unemployment fears, asserting that the AI revolution will ultimately generate a new renaissance of creative roles while requiring societal adjustments to wealth distribution rather than technological restriction.
Clem Delangue: The Ultimate Guide to Investing in AI; Elon's Threat to Sue OpenAI | E1013
Clem Delangue, Elon, Harry Stebbings
Hugging Face, founded by Clem, Thomas, and Julia, evolved from an initial consumer chatbot experiment into a global AI infrastructure platform by leveraging open-source collaboration and a decentralized talent strategy across Paris, New York, and San Francisco. The company currently serves approximately 15,000 organizations through a freemium model that prioritizes massive adoption and network effects over immediate revenue, while advising startups to build custom models rather than relying on external APIs to ensure long-term differentiation. By maintaining strict investor communication protocols and focusing on community-driven scientific progress, Hugging Face aims to navigate regulatory hurdles and talent shortages as it transitions the industry from niche usage to mainstream scale.
20Sales: How to Scale a Career While Scaling a Family; Work-Life Balance; Parental Leave | E1012
Maggie Hott, Stevie Case, Renu Gupta, Lauren Schwartz, Julie Maresca, Jessica Arnold, Harry Stebbings
Six sales leaders, including Jessica Arnold, Stevie Case, and Maggie Hott, convened to discuss the dual challenges and unique advantages of balancing motherhood with high-level sales careers. The panel detailed how integrating family responsibilities fosters leadership superpowers like time efficiency and empathy while highlighting systemic barriers such as career pauses and the lack of equitable parental leave policies. By advocating for structural changes like protected quotas during leave and cultural shifts that normalize vulnerability, the group emphasized that organizational support is essential to transforming perceived work-life conflicts into competitive advantages.
- a16z51 min
When Two Giants Intersect: Healthcare Meets Fintech
Amidst a US healthcare crisis defined by $4.3 trillion in annual spending and systemic inefficiencies, new regulatory mandates for price transparency are catalyzing a wave of fintech innovation aimed at realigning incentives across providers, payers, and consumers. Startups like Juniper and Thatch are leveraging value-based payment models and embedded financial infrastructure to automate revenue cycles and optimize benefit utilization, while tech-native carriers address critical gaps in preventative care and high-cost drug coverage. This rapidly evolving sector demands hybrid founding teams capable of navigating complex state regulations to bridge the operational divide between agile startups and massive legacy incumbents.
- The Diary Of A CEO1h 21m
Macklemore: How You Can Overcome Your Darkest Days & Hardest Battles!
Musician and activist Macklemore chronicles his decades-long battle with substance abuse, detailing critical turning points that ranged from a severe relapse during the pandemic to a catalyst moment involving his wife's pregnancy. His journey includes entering rehab at age 26 and helping his business partner achieve sobriety, strategies he now applies to advocate for the disease model of addiction and the importance of support systems like Al-Anon. Now maintaining long-term recovery, he channels these experiences into his latest album *Ben* and his Seattle-based youth program, "The Residency," while explicitly rejecting victimhood to focus on service and creative authenticity.
Vince Hankes: Why We Put $300M into OpenAI; Sam Altman's Pitch; Lessons from Josh Kushner | E1009
Vince Hankes, Sam Altman, Josh Kushner, Lee Fixel, Harry Stebbings
Thrive Capital partner Vince Leverett details the firm's transition from Tiger Global's financial rigor to a founder-empathy model that prioritizes product-market fit and transparent partnership dynamics. Leverett contrasts this approach with past missteps like the missed Canva investment, emphasizing that future success in the competitive AI landscape requires evaluating qualitative strengths over rigid pattern matching. He argues that while infrastructure plays a critical role, the majority of value will accrue to application-layer startups capable of creating entirely new user experiences outside incumbent control.
- All-In Podcast1h 16m
E126: Big Tech blow-out, Powell’s recession warning, lab-grown meat, RFK Jr shakes up race & more
Powell, RFK Jr, Chamath, Calacanis, Friedberg, David Sacks, Timoth
Google reported a record-breaking Q1 2024 quarter with a 5% stock surge and historic Cloud profitability, yet investors remain concerned over the company's lack of a clear AI commercialization strategy and insufficient cost-cutting compared to peers like Meta. Broader market analysis suggests that major tech firms have transitioned into cash-flow-focused entities relying on buybacks rather than organic innovation, while a deflationary wave from AI adoption threatens to disrupt white-collar labor markets. Concurrently, the macroeconomic environment faces a potential 50/50 recession risk driven by aggressive Federal Reserve policies, alongside sector-specific distress in commercial real estate and persistent economic hurdles in the alternative protein industry.
Sarah Guo: On Her New $101M Fund; How AI Impacts Inequality; AI Startups vs Incumbents | E1007
Sarah Guo, Elad Gil, Harry Stebbings
Sarah Tavel has launched Conviction, a $100 million early-stage fund dedicated exclusively to Artificial Intelligence companies that leverage existing models to build billion-dollar ventures with lean teams. The strategy prioritizes capital efficiency and strategic matchmaking over large upfront check sizes, aiming to support founders in navigating a market where speed and specialized execution outweigh traditional defensibility. Tavel's thesis challenges prevailing venture norms by focusing on high-conviction, niche applications in sectors like legal tech and code generation while advocating for LP discipline to ensure structural sustainability.
Snap's VP of Product Jack Brody: The Future of AR; Snap Glasses; Evan Spiegel's Product Mind | E1006
Jack Brody, Evan Spiegel, Harry Stebbings, Gustav Soderstrom
Jack, a Snap product leader who transitioned from mechanical engineering to design, advocates for a philosophy that prioritizes rapid hypothesis validation and the intentional disruption of industry conventions to drive innovation. Under his guidance, Snap leverages low-fidelity prototyping and diverse team input to de-risk bold features like Stories, accepting short-term user friction to secure long-term market dominance. This approach, rooted in balancing analytical rigor with creative intuition, has allowed the company to evolve from a messaging app into a global AR platform while maintaining agility against larger competitors.
AngelList CEO Avlok Kohli: The Funding Market Today; Last-Mile Delivery; Competing w/ Carta | E1005
Following Naval Ravikant's invitation, former founder Avlok assumes the CEO role at AngelList and immediately pivots the firm toward a ruthless operational culture that eliminates all non-essential processes to accelerate product iteration. This strategic shift coincides with a bear market where the company leverages AI automation to scale its infrastructure, shuts down European operations to focus on capturing over 50% of the US market share, and targets a future as the immutable financial fabric of the venture sector without planning an IPO.
Tomasz Tunguz: How I Raised $230M; ChatGPT vs. Google; How LLMs Work; Trump vs DeSantis | E1004
Tomasz Tunguz, Trump, DeSantis, Harry Stebbings
Tom, a solo general partner, successfully raised a $230 million fund to pursue thesis-driven investments in AI infrastructure, utilizing a concentrated portfolio strategy that targets 10% ownership in Series A companies. His investment thesis centers on the convergence of closed and open-source models, predicting that superior execution and unique data moats will allow startups to outmaneuver incumbents like Google and Adobe in the coming decade. The campaign achieved a single close by securing two Institutional LPAC members as anchors and leveraging data room analytics to convert 50% of limited partners from previously unknown relationships.