Latest Interviews
Showing 241–255 of 1,991 transcripts.
Clear all filters- a16z1h 8m
Emmett Shear on Building AI That Actually Cares: Beyond Control and Steering
Emmett Shear, Erik Torenberg, Séb Krier
Former OpenAI researcher Emmett leads Softmax in advancing a paradigm that treats AI alignment as a continuous process of cultivating "care" rather than enforcing static rule sets. The organization employs large-scale multi-agent simulations to train systems that develop genuine social intuition and moral agency through dynamic interaction, aiming to prevent the risks associated with uncontrollable tools. This approach seeks to create AI beings that function as ethical peers and teammates capable of genuine empathy instead of functioning merely as compliant mirrors for user demands.
- All-In Podcast55 min
Home Affordability Crisis, Palantir's Advantage, Big Short on AI, H-1B Abuse, Solar Storm Hits Earth
Michael Burry, Chamath, Jason, Friedberg, Trump, Omapproach, Latestinspace, David Sacks
Michael Burry disclosed a $9 million short position against Palantir and alleged accounting fraud by hyperscalers like Meta and Oracle, though hosts refuted his depreciation claims and criticized his broader short-selling tactics as fear-mongering. The discussion also examined California's rent control policies and Texas's housing affordability, contrasting government-driven credit expansion with market-based solutions, while analyzing proposed H-1B visa reforms and the economic drivers behind the migration of tech professionals to international hubs like Riyadh and Malaysia. Finally, the hosts reviewed the risks posed by recent G5 geomagnetic storms, noting potential grid disruptions and the emerging shift toward photon-based computing to mitigate future solar interference.
- a16z1h 1m
The Brutal Truth About Biotech: Why $2B Per Drug Is Killing Innovation
Elliot Hershberg, Lada Nuzhna, Jorge, Erik
Industry leaders analyze a critical bottleneck in biotech where rising R&D costs, regulatory stringency, and a lack of U.S. first-in-human trials have created an environment where innovation is stifled by China's accelerated approval models. While AI is projected to reshape drug discovery by targeting previously undruggable molecules and solving efficacy failures, experts warn that current applications remain misaligned with the primary cost drivers of clinical development. The future of the sector depends on shifting from single-molecule breakthroughs to multi-modal platforms that address aging and leverage new technologies to restore the "invention" advantage against global competitors.
- Milken Institute48 min
The AI Surge: Powering Innovation & Global Competitiveness | Global Investors' Symposium São Paulo
Ana Clara Martins, Carlos Costa, Tallis Gomes, Maren Lau, Mateus Costa Ribeiro
Panelists from Valor, Meta, G4 Educação, and Enter discussed the rapid maturation of AI adoption in Latin America, highlighting how Brazilian firms are leveraging generative intelligence to drive double-digit margin improvements and democratize competitive advantages for small and mid-sized businesses. The dialogue emphasized that while execution bottlenecks and organizational complexity currently hinder enterprise integration, Brazil's strategic assets—including clean energy, rare earth reserves, and a robust digital payments ecosystem—position the region as a global export hub for AI-native financial and legal services. Ultimately, the group called for pro-innovation regulations to replace restrictive frameworks, arguing that fostering talent acquisition and infrastructure investment is essential to unlocking trillions in potential value through agent-driven economic transformation.
- a16z55 min
Rocket Companies CEO: Here’s How to Fix the Housing Crisis
Rocket's strategic acquisition of Redfin and Mr. Cooper creates a vertically integrated homeownership ecosystem designed to mitigate the generational wealth gap and supply-side bottlenecks by capturing the entire consumer journey from search to servicing. This counter-cyclical model leverages the natural hedging between origination and servicing volumes to ensure financial stability despite market volatility, while aiming to deploy AI and robotics to accelerate construction and compress mortgage workflows from months to real-time. By transforming from a traditional lender into a comprehensive housing platform, the combined entity targets the $5 trillion market to redefine asset ownership through innovative solutions like rent-to-own models and fractional equity.
- Jane Street48 min
Making GPUs Actually Fast: A Deep Dive into Training Performance
Corwin, Savant Diaz, Sylvain De Wecker
Jane Street engineers optimize deep learning infrastructure by eliminating CPU-GPU synchronization bottlenecks and fusing PyTorch operations via `torch.compile` and Triton to maximize throughput. When automated compilation fails on complex Python logic, they deploy custom CUDA kernels that leverage shared memory and warp-level reductions to achieve nearly 1,000x speedups in specialized tensor operations. This hierarchical approach, ranging from standard PyTorch to hand-optimized C++, ensures efficient utilization of the H100's 132 Streaming Multiprocessors and strict memory bandwidth constraints.
- a16z53 min
Grant Lee: Building Gamma’s AI Presentation Company to 100 Million Users
Founded by Grant in 2020, Gamma has evolved from a rejected startup into a profitable, mass-market platform that generated nearly 100 million users primarily through organic growth and a viral "first 30 seconds" user experience. The company differentiates itself by replacing static slides with malleable, web-like building blocks powered by an "one-button" AI strategy, moving from a prosumer tool to a business application with over $1 million in ARR and enterprise integration capabilities. Despite early investor skepticism, Gamma achieved profitability within three months of launching paid tiers by prioritizing design-centric hiring, maintaining a lean team, and strategically transitioning from founder-led sales to a bottom-up enterprise motion.
- Milken Institute54 min
The Future of Biomedical Research and Innovation | Future of Health Summit 2025
Esther Krofah, Robert Califf, Julie Gerberding, Sharmila Makhija, Elias Zerhouni
A comprehensive review of the U.S. biomedical ecosystem reveals that the nation's seven-pillar research framework is currently threatened by a convergence of reduced federal funding, immigration restrictions, and ideological pressures on universities, all while global competitors like China and Singapore accelerate their own centralized health strategies. Despite possessing a premier research engine, the United States suffers from a critical implementation gap where $5.4 trillion in annual healthcare spending fails to address fundamental issues like low life expectancy, high medical bankruptcy, and a severe erosion of public trust in scientific institutions. Strategic recommendations now urge a shift toward a unified national life sciences strategy that leverages federated data infrastructure, aligns financial incentives with preventive care, and mobilizes political and voter engagement to restore the country's competitive edge in global innovation.
- All-In Podcast1h 27m
Does OpenAI Need a Bailout? Mamdani Wins, Socialism Rising, Filibuster Nuclear Option
Mamdani, Brad Gerstner, Altman, Jensen Huang, chamath, Jason, DavidSacks, friedberg, yung_spielburg, TheZachEffect, sama, JDVance, houmanhemmati
OpenAI announced a revised $20 billion revenue run rate and $1.4 trillion in infrastructure commitments, prompting partner stock declines and clarifications that federal bailouts are not being pursued. While market sentiment remains cautious due to spending uncertainty, panelists predict a shift back to risk-on investment strategies by February alongside a federal regulatory push to preempt state-level restrictions. The discussion further highlighted geopolitical AI competition, a growing youth unemployment debate attributed to structural economic issues rather than AI automation, and the upcoming expansion of Foundry University to new international markets.
- a16z1h 3m
Amjad Masad & Adam D’Angelo: How Far Are We From AGI?
Adam Cheyer and Amjad Masad debate the trajectory of Artificial General Intelligence, with Cheyer predicting near-term "functional AGI" will automate remote work within two years and Masad arguing that current scaling relies on non-scalable human data while true AGI requires a fundamental architectural shift. Their discussion highlights critical economic bottlenecks, including the potential exhaustion of high-quality training data as expert labor is automated, the risk of eliminating entry-level career pathways, and the emergence of solo AI agents that could decentralize economic power. While both acknowledge that true human consciousness remains scientifically unsolved, they anticipate a decade of agents transforming industries from software development to caregiving, urging students to explore philosophy and neuroscience to address the foundational questions current AI engineering bypasses.
- Sequoia Capital1h 0m
OpenAI Sora 2 Team: How Generative Video Will Unlock Creativity and World Models
Bill Peebles, Thomas Dimson, Rohan Sahai, Konstantine Buhler, Sonya Huang
OpenAI's Sora leverages Diffusion Transformers and space-time tokens to generate coherent videos that increasingly respect physical laws, driving a daily output of seven million clips through an iterative deployment strategy. The platform prioritizes user creation over consumption via algorithmic incentives and the viral "Cameo" feature, while a dedicated API and emerging IP monetization frameworks support diverse enterprise and creator ecosystems. Looking forward, the technology aims to facilitate scientific discovery in physical sciences and evolve into a persistent digital clone platform for social interaction and knowledge work.
- a16z50 min
Seeing The Future from AI Companions to Personal Software
Eugenia Kuyda, Erik, Anish, Justine, Jenna
Wabi founder Eugenia positions the current AI landscape as a primitive "Microsoft DOS" phase, forecasting a transition to a screen-first "Software 3.0" ecosystem where users build and remix highly personalized "mini-apps" through visual, non-technical interfaces. By replacing isolated chatbots with a unified social operating system, the platform enables influencers and creators to distribute interactive functional tools that merge content with utility while allowing communities to remix and collaboratively refine software for niche needs. This approach aims to solve the AI discovery problem by encapsulating complex prompts into shareable applications, effectively shifting the market from passive consumption to mass-market creation and deep personalization.
- a16z1h 17m
Sacks, Andreessen & Horowitz: How America Wins the AI Race Against China
Andreessen, David Sacks, Marc, Ben, Erik
The Trump administration is executing a strategic pivot to establish the United States as the global hub for crypto and artificial intelligence by replacing enforcement-heavy regulations with codified legislation and pro-innovation frameworks. This approach includes passing the GENIUS Act to stabilize the stablecoin market, negotiating the Clarity Act for the broader token ecosystem, and dismantling previous AI restrictions to counter Chinese competition while rejecting open-source restrictions. By prioritizing deregulation, energy infrastructure access, and federal preemption over state-level patchworks, the policy aims to secure long-term industry growth and prevent technological stagnation caused by bureaucratic approval delays.
How Ryan Serhant Sold $20B in Real Estate with Media & AI
Ryan Serhant restructured his portfolio into Serhant Technologies, a media and AI-driven holding company that completed over $20 billion in sales and recently secured a $45 million seed investment from Jeff Berman and Harley Miller. The firm distinguishes itself through its production unit, Serhant Studios, which launched the high-stakes Netflix series *Owning Manhattan*, and its proprietary AI platform, Simple, which automates administrative tasks to serve a demographic of younger, digitally native agents. This strategy has enabled the company to pivot from a traditional brokerage model to a scalable technology enterprise that integrates venture capital activities and operates across four primary verticals in 13 states.
- All-In Podcast1h 4m
Pete Buttigieg: The Left's Identity Crisis, Wealth Tax, 2024 Mistakes, Plans for 2028
Pete Buttigieg, Chamath, Jason
Former Transportation Secretary Pete Buttigieg critiques the Silicon Valley shift toward Republican deregulation and warns that extreme wealth concentration and unchecked AI adoption threaten the stability of the republic. He advocates for a progressive wealth tax, contrasts his pragmatic vision for government efficiency with current executive excesses, and argues that the Democratic Party's reliance on identity politics has fractured its coalition. Despite acknowledging bipartisan fiscal irresponsibility, Buttigieg emphasizes the need for a unified economic message to address inequality while supporting strict safety regulations for emerging technologies.