Latest Interviews

How to Survive the Crypto Boom & Bust Cycle

Chandan Lodha

Cointracker co-founder Chandan Lodha guides the portfolio tracking and tax compliance platform through volatile crypto cycles by overcoming a 2020 liquidity crisis and a subsequent product obsolescence period. To regain market leadership, the company paused feature development for nine months to rebuild its offering around user obsession and long-term execution, successfully launching Cointracker 2.0 in January. Lodha emphasizes that navigating the industry's boom-bust patterns requires founders to maintain humility during bull markets and conviction during bear markets.

The Better-Sex Doctor: The Link Between Masturbating & Prostate Cancer! Dr Rena Malik

Dr Rena Malik

This comprehensive presentation analyzes male and female physiological trends, revealing that frequent ejaculation lowers prostate cancer risk while addressing myths about sexual duration and debunking age-related penis size changes. The event further details the impact of environmental factors, sedentary lifestyles, and media-driven expectations on hormonal balance and sexual health, emphasizing that pelvic floor dysfunction often signals broader cardiovascular or psychological issues. Finally, speakers advocate for mandatory sexual health education and stricter environmental regulations to mitigate declining sperm counts and reshape societal perceptions of intimacy.

AI progress is about to rapidly accelerate in 2025 – Sholto Douglas & Trenton Bricken

Sholto Douglas, Trenton Bricken

Current AI research progress is primarily constrained by compute availability rather than engineering effort, with scaling experiments suggesting a fifty percent elasticity where doubled resources significantly accelerate discovery. Top teams distinguish themselves through ruthless prioritization and rapid iteration cycles that balance experimental inference against frontier-scale training, effectively treating model development as a greedy evolutionary optimization. This approach transforms the intelligence explosion from a self-writing code phenomenon into a collaborative workflow where AI augments researchers to navigate imperfect information and drive emergent architectural breakthroughs.

What's next for AI agents ft. LangChain's Harrison Chase

Harrison Chase

Harrison Chase positions LangChain as the dominant generative orchestration platform, while defining agent systems as loop-based entities that utilize language models to plan, act, and observe external tools. To address current reliability gaps in complex reasoning, the discourse advocates for "flow engineering" strategies that offload planning logic to human-designed state machines and introduces a "rewind and edit" user experience to facilitate human-in-the-loop correction. Furthermore, the next generation of agent applications is expected to integrate distinct procedural and personalized memory architectures, enabling systems to retain specific workflows and user preferences for enhanced personalization and task completion.

How They Became Leading AI Researchers in Just 1 Year – Sholto Douglas & Trenton Bricken

Sholto Douglas, Trenton Bricken

An interpretability team, originally comprising five members, has scaled significantly by prioritizing engineers with extreme agency and multi-disciplinary backgrounds over narrow specialization. Leaders like James Bradbury and Tristan Hume facilitated this growth by recruiting individuals who demonstrated "maniacal" execution and a refusal to be blocked by structural roadblocks. Recent efforts now focus on converting early experimental signals into scalable results by combining biological sparsity insights with rigorous technical investigation across NLP, computer vision, and robotics.

How To Build Generative AI Models Like OpenAI's Sora

The event analyzes OpenAI's Sora model, highlighting its breakthrough in text rendering and temporal consistency while noting persistent flaws in physical logic and immense computational demands. It details how YC startups like Infinity AI and Sonato are achieving comparable results through data efficiency, synthetic training, and optimized model architectures rather than massive scale. The discussion concludes by projecting how these physics-simulating AI techniques will accelerate scientific discovery in fields ranging from weather prediction to drug discovery.

How Vuori’s Joe Kudla went from accountant to fashion industry success

Joe Kudla, David Solomon

Viore founder and CEO Joe Kudla transformed a failed apparel background into building a $4 billion men's performance brand that secured a landmark SoftBank investment by pivoting from wholesale to a direct-to-consumer model. The company successfully expanded its revenue composition to include a women's line and entered international markets in China and Korea while maintaining profitability and avoiding unnecessary dilution through secondary offerings. Guided by a culture of strategic alignment, Kudla's leadership team navigated early industry skepticism to establish Viore as a premium lifestyle brand focused on versatile activewear rather than niche yoga apparel.

Related Companies’ Jeff Blau on Building Hudson Yards

Jeff Blau, John Waldron

Related Companies CEO Jeff Blau transformed a derelict railyard in New York City into the 15-million-square-foot Hudson Yards district by executing a resilient mixed-use strategy that navigated the 2008 financial crisis. To address the regulatory and environmental challenges posed by Local Law 97, Blau founded Energy Re, a subsidiary launching a historic $12 billion renewable energy initiative designed to supply 16% of the city's power through utility-scale wind and solar generation. This dual approach integrates large-scale affordable housing with massive infrastructure projects, proving that aligning corporate capital with public utility goals can drive both economic growth and decarbonization.

Trust, reliability, and safety in AI ft. Daniela Amodei of Anthropic and Sonya Huang

Daniela Amodei, Sonya Huang

Anthropic, a Public Benefit Corporation founded three years ago to prioritize trustworthy generative AI, recently launched its Claude 3 model family featuring the high-complexity Opus, the cost-efficient Haiku, and the enterprise-focused Sonnet. These models deliver state-of-the-art coding proficiency and reduced hallucination rates, enabling adoption across sectors from healthcare's Dana-Farber Cancer Institute to financial firms like Bridgewater. Despite ongoing challenges in fully autonomous agent behavior, the company continues to advance safety through its pioneering Constitutional AI techniques and proactive Responsible Scaling Policy to align technical capability with human values.

Making AI accessible with Andrej Karpathy and Stephanie Zhan

Andrej Karpathy, Stephanie Zhan, Brian Halligan, Alex, Sam, Peter, Michael

Andrej Karpathy outlines a future where the Large Language Model serves as a central CPU for a new "LLM OS," treating text, images, and audio as interchangeable peripherals within a decentralized startup ecosystem. He emphasizes that while massive scale drives current capabilities, the industry must overcome significant engineering and energy inefficiency barriers by adopting new hardware architectures and shifting from imitation learning toward self-correcting reinforcement loops. Drawing on lessons from Elon Musk’s management style, Karpathy advises founders to prioritize high-performance products, maintain technical rigor against organizational bloat, and foster a "coral reef" of vertical-specific applications rather than relying on monolithic corporate dominance.

Open sourcing the AI ecosystem ft. Arthur Mensch of Mistral AI and Matt Miller

Arthur Mensch, Matt Miller

Founded in April 2023 by Arthur Conch, Guillaume Lample, and Timothée, Mistral AI accelerates global AI adoption through a dual strategy of rapid open-source releases and high-performance commercial models like Mistral Large. The company leverages its French headquarters to access cost-efficient engineering talent while forging strategic partnerships with Microsoft, Snowflake, and Databricks to deploy stateful AI directly within enterprise data clouds. Looking ahead, Mistral plans to expand its European language dominance and introduce multimodal capabilities, aiming to evolve from serverless APIs into a comprehensive ecosystem of customizable, autonomous agents.

From My Garden Shed To $100m Business Empire! “That Letter Was The End Of Represent” - George Heaton

George Heaton

Founder George Heatham transformed Represent from a £10,000 family shed into a £100 million global lifestyle brand by pivoting to a direct-to-consumer drop model, relocating production to Portugal, and hiring a specialized executive team to solve critical operational and legal challenges. Heatham’s personal reinvention through mental toughness disciplines, coupled with a "hire fast, fire faster" leadership strategy, enabled the company to navigate a costly trademark dispute in 2020 and scale rapidly without an exit plan. The organization now aims to expand into physical retail, women's wear, and new verticals like fitness and nutrition while maintaining strict luxury positioning and long-term brand DNA.

Why Founders Shouldn't Think Like Investors

Dalton, Michael

Dalton and Michael argue that early-stage founders trained in venture capital or corporate consulting often fail by applying large-company frameworks like extensive market analysis and exit planning to pre-product startups. This "VC mindset" creates analysis paralysis and a detachment from the critical "micro" work of manually acquiring the first customer, whereas successful execution requires a "beginner's mind" focused on deep user immersion and domain expertise. The speakers conclude that founders must unlearn these counterproductive habits to embrace the uncertainty of the zero-to-one phase and leverage the flexibility needed to navigate early business failure.

Leading Childhood Trauma Doctor: 10 Lies They Told You About Your Childhood Trauma! - Paul Conti

Paul Conti, Rich Roll

Dr. Paul Conti presents trauma as a biological epidemic that functions like a virus, altering gene expression through epigenetics to accelerate aging and increase mortality risk across generations. He details how unresolved trauma manifests as chronic inflammation, autoimmune disorders, and behavioral dysregulation, creating a systemic "invisible" crisis that modern medicine frequently misdiagnoses. Ultimately, the event outlines a healing framework where narrative reconstruction and curious self-inquiry replace symptom suppression, enabling individuals to reverse biological aging and break cycles of intergenerational suffering.

Bringing AI to the Masses with Adam D'Angelo, CEO of Quora

Adam D'Angelo, David George, Sarah Wang, Max Wiethe, Dan Morehead, Matt Rowe

Former Quora CEO Adam D'Angelo launched Poe as a multi-platform aggregator to navigate the shift from human-centric knowledge publishing to an instant, multi-model chat paradigm driven by generative AI. The platform differentiates itself by supporting diverse fine-tuned models and an open API that enables independent creators to deploy specialized tools while sharing revenue to offset high inference costs. D'Angelo anticipates a bifurcated market where Poe serves the downstream application layer of accessible AI, eventually evolving into a symbiotic network that complements Quora's human expertise with scalable automated agents.