Latest Interviews
Showing 301–315 of 822 transcripts.
Clear all filters- a16z1h 14m
Las Vegas is Becoming the SAFEST City in America
Marc Andreessen, Ben Horowitz, Mike Gennaro, Kevin McMahill
Las Vegas Metropolitan Police Department Sheriff McMahill and Chief Gennaro describe a strategy that has reduced local homicides by 20% and achieved a 94% solve rate by targeting chronic hot spots and deploying drones for rapid, de-escalating situational awareness. To address the root causes of crime, the department partners with "Hope for Prisoners" to mentor released offenders and utilizes private funding to overcome budget constraints for critical technology upgrades like AI redaction and real-time 911 pre-dispatch systems. This comprehensive approach, which combines strict accountability, community trust, and operational improvements, aims to break the cycle of recidivism while maintaining low response times and minimizing officer-involved shootings.
- All-In Podcast1h 23m
Trump's market impact: Bitcoin, M&A, IPOs + transition picks; Polymarket CEO raided by FBI
Trump, Shayne Coplan, Chamath Palihapitiya, David Sacks, Jason Calacanis
Amidst a crypto market surge where Bitcoin neared $92,000, hosts Chamath Palihapitiya and David Sacks analyzed Trump's emerging crypto policies, including potential regulatory shifts and a strategic Bitcoin reserve, while noting the broader market's sensitivity to persistent inflation and Treasury yields. The discussion extended to the incoming administration's cabinet lineup, highlighting appointments like Bobby Kennedy Jr. and Matt Gaetz as catalysts for an "extinction event" within federal agencies, alongside a critical look at tech regulation and the impending IPO landscape for major firms like Stripe and Databricks. Furthermore, the guests examined the convergence of political and financial markets through the lens of the recent Polymarket FBI raid and the changing dynamics of broadcast media, ultimately warning that unintended geopolitical escalation remains the most significant risk for the coming term.
- a16z59 min
Trump is About to Change Everything For Tech Startups
Trump, Marc Andreessen, Ben Horowitz
Following Donald Trump's election victory, the fintech and cryptocurrency sectors experienced immediate market surges and psychological relief as regulators signaled an end to previous enforcement tactics that had stifled legal innovation. Backed by a16z's successful political advocacy for pro-crypto candidates, the new administration is expected to prioritize American technological dominance by accelerating domestic chip production, unlocking energy sources for AI, and reforming defense procurement to reduce reliance on adversarial supply chains. This strategic shift aims to reverse the "learned helplessness" of compliant companies by replacing restrictive bureaucratic practices with a growth-oriented framework that positions technology as the central pillar of national security in the ongoing geopolitical race with China.
- Y Combinator47 min
How To Build The Future: Sam Altman
Sam Altman characterizes the current era as the optimal time for launching technology companies, projecting that Artificial Superintelligence could emerge within a decade if deep learning progress continues to compound. He outlines a five-level roadmap where AI evolves from basic chatbots to autonomous organizational managers, emphasizing that energy abundance and rapid iteration are the critical inputs for unlocking material prosperity. While acknowledging past strategic pivots and leadership turbulence at OpenAI, Altman maintains that speed and conviction allow startups to outmaneuver established corporations in achieving AGI.
- a16z1h 19m
Marc & Ben on AI Policy, Safety, Censorship & Unexpected Risks
Marc Andreessen, Ben Horowitz, Satya Nadella, Brad Smith, Andy Ayrey, Nick Bostrum
Amidst the upcoming US presidential election, experts are urging policymakers to pivot from speculative existential risks to concrete threats like election-disrupting deepfakes and ideological capture within AI safety teams. The discussion highlights a strategic divergence between China's centralized state control and the United States' decentralized market innovation, arguing that regulation should criminalize specific harms while preserving the open internet required for technological superiority. By rejecting the precautionary principle for non-existent scenarios, speakers advocate for a policy framework that uses digital signatures to verify content authenticity without stifling the competitive engine driving American economic and military dominance.
- Milken Institute49 min
Can Psychedelics Improve Mental Health? With C. Angermayer & Uma Thurman | Global Conference 2021
C. Angermayer, Uma Thurman, Christian Angermayer, Robert Mancini
German biotech investor Christian Angermeyer founded Atai Life Sciences to develop psychedelic therapeutics capable of treating over one billion people suffering from mental health conditions that current standard medications often fail to address. By targeting the brain's Default Mode Network to induce neuroplasticity, Angermeyer's pipeline includes non-addictive compounds like psilocybin and MDMA intended to be administered under strict medical supervision rather than for recreational use. The strategic goal is to reclassify these substances through rigorous FDA protocols to resolve widespread anxiety, addiction, and trauma while eventually fostering broader societal reconciliation as medical efficacy becomes undeniable.
Former Chief Scientist at Salesforce, Richard Socher | You.com, LLMs, AI Agents, Complex Work
u.com recently secured a $50 million Series B financing round led by Georgian to accelerate its pivot from a search engine to an AI-driven productivity engine serving high-stakes industries like hedge funds and biotech. The company differentiates its model-agnostic platform through proprietary search stacks and enterprise features that support massive data rooms, resulting in API traffic that now surpasses end-user consumption. Backed by investors including NVIDIA and Salesforce Ventures, u.com is scaling its operations and hiring to automate complex workflows that traditional large language models cannot reliably execute.
- Sequoia Capital53 min
DoorDash ft. Tony Xu – The “Wrong” Moves That Built a Giant
Tony Xu, Roelof Botha, Keith Yandell, Miki Kuusi, Alfred Lin, Rolof Guedan
Founded in 2013 by Tony Xu and three Stanford classmates, DoorDash disrupted the food delivery industry by targeting suburban markets with a merchant-first strategy before navigating severe capital shortages that nearly caused the company to collapse. Facing a critical 2018 cash crisis, the leadership accepted simultaneous term sheets from SoftBank and Sequoia Capital to secure a $535 million war chest, a move that enabled rapid expansion and allowed the firm to surpass competitors like Grubhub and Uber Eats by 2019. The company subsequently leveraged its operational efficiency and underdog mentality to pivot from a single restaurant category to a global logistics platform, a trajectory solidified by its pandemic-era support of merchants and the 2022 acquisition of Finland's Volt.
- All-In Podcast1h 19m
Dueling Presidential interviews, SpaceX’s big catch, Robotaxis, Uber buying Expedia?, Nuclear NIMBY
Chamath, Jason, Friedberg, David Sacks
In a multi-segment broadcast, the hosts announced the nationwide Target launch of Supergut while dissecting recent political interviews and contrasting Polymarket's Trump victory probability with Nate Silver's toss-up assessment. The conversation shifted to technological breakthroughs, highlighting SpaceX's successful rocket catch and Tesla's unveiling of steering-wheel-free autonomous vehicles, before debating Big Tech's nuclear power investments and the potential Uber- Expedia acquisition. Finally, the panel addressed election integrity concerns, bureaucratic hurdles facing tech innovation, and confirmed the show's continuation regardless of the November 5th election results.
- Jane Street1h 6m
The Uncertain Art of Accelerating ML Models with Sylvain Gugger
Sylvain Gugger, Ron Minsky, Jeremy Howard, Mark Mandelmann, Mark Mirchandani, Francesc Campoy, Gabriel Sanchez
Former fast.ai co-author Jeremy Howard discusses his transition from mathematics education to optimizing machine learning infrastructure at Jane Street, highlighting breakthroughs in learning rate schedules and image resizing that previously secured top benchmark placements. He details the development of the Hugging Face Accelerate library, a lightweight tool designed to abstract complex hardware parallelism and eliminate boilerplate code for training across diverse GPUs and TPUs. The discussion further explores the architectural constraints of financial data, the dominance of PyTorch's iterative execution model, and Jane Street's rigorous approach to reproducibility and custom model development for high-frequency trading.
- All-In Podcast1h 5m
Dave Ricks, CEO of Eli Lilly | The All-In Interview
Under CEO Dave Ricks, Eli Lilly has expanded its market capitalization to $878 billion while dominating the GLP-1 weight loss market through innovations like tirzepatide and the upcoming oral drug orforglipron. These scientific breakthroughs address a global obesity crisis affecting billions, with the company investing heavily in domestic manufacturing and AI-driven research to sustain high-growth revenue projections. Despite facing political scrutiny over pricing and reimbursement limitations, Lilly is leveraging a rapid development culture and direct-to-consumer platforms to maintain industry leadership and expand treatment access.
- Sequoia Capital1h 0m
Snowflake CEO Sridhar Ramaswamy on Using Data to Create Simple, Reliable AI for Businesses
Sridhar Ramaswamy, Sonya Huang, Pat Grady, Sonia
Snowflake CEO Sridhar Ramaswamy is driving the company's transformation into an "AI data cloud" that integrates acquired search technology from Neva to serve over 10,000 enterprise customers. The organization addresses reliability concerns in generative AI by prioritizing context engineering and managed governance, enabling business users to access data through grounded chatbots without extensive custom software development. This strategic pivot aims to democratize software creation by embedding AI directly into data workflows, positioning Snowflake to capitalize on the shift toward interoperable cloud storage and controlled mobile ecosystems.
- Milken Institute45 min
Catalytic Capital: Investing for Performance, Purpose, and Planet | Asia Summit 2024
Ishika Mookerjee, Emily Chew, Deepali Khanna, Hiromichi Mizuno, Robert Schultz
Capital from institutional investors like GIC and Capricorn Investment Group, alongside catalytic philanthropy from the Rockefeller Foundation, is being strategically deployed to bridge the $4.5 trillion global climate finance gap by targeting high-risk deep tech and early-stage decarbonization solutions. Key figures including Yusko Mizuno and Robert Schultz emphasize that integrating ESG criteria with robust risk management can deliver strong financial returns while addressing the "valley of death" in technologies like hydrogen steel and grid modernization. Despite geopolitical headwinds and protectionist policies threatening supply chains, these stakeholders advocate for blended finance models that leverage private capital to scale innovations essential for achieving net zero by 2050.
- Sequoia Capital45 min
OpenAI's Noam Brown, Ilge Akkaya and Hunter Lightman on o1 and Teaching LLMs to Reason Better
Noam Brown, Ilge Akkaya, Hunter Lightman, Sonya Huang, Pat Grady
OpenAI's O1 model, internally codenamed Project Strawberry, introduces a paradigm shift by employing "inference time compute" to enable systems to engage in extended, self-correcting reasoning processes akin to human System 2 thinking. This architecture has delivered unprecedented capabilities in STEM domains, allowing the AI to solve complex Olympiad-level programming problems, pass research engineer interviews, and assist in scientific discovery by bridging the gap between difficulty in generation versus verification. While the project faces limitations in speed and creative tasks compared to predecessors like GPT-4, its demonstrated ability to scale performance through increased thinking time marks a significant advancement toward the operational goal of Artificial General Intelligence.
- a16z1h 17m
The Quest for Community-Trained Open Source AI Models
Bowen Peng, Jeffrey Quesnelle, Anjney Midha
News Research has unveiled the Distro method, a decentralized training framework that enables the creation of state-of-the-art "Hermes" language models using only standard internet connections and consumer-grade hardware. This breakthrough achieves an estimated 857-fold reduction in bandwidth requirements by allowing individual nodes to train independently and exchange only high-value insights rather than full model weights. By demonstrating that global AI development can be replicated without reliance on high-end data centers or single-entity resources, the project aims to democratize access to foundational models while preserving the neutrality and open nature of the technology.