Latest Interviews
Showing 16–30 of 822 transcripts.
Clear all filters- Y Combinator1h 14m
World Models, JEPA And The Path To Sample-Efficient RL
This event analyzes the critical bottleneck of sample efficiency in artificial intelligence, contrasting current deep learning models' massive data requirements with the human brain's ability to learn from minimal experience through superior world modeling. The discussion details how advancements in non-differentiable control theories, video diffusion architectures, and Joint Embedding Predictive Architectures are shifting strategies from model-free behavior cloning to synthetic, simulation-based planning for complex robotic and autonomous driving tasks. By addressing scaling challenges in high-dimensional action spaces and architectural limitations like the Transformer's inefficiency in time-domain compression, the presentation outlines a roadmap toward general-purpose robotics and AGI by 2026 through the integration of "awake sleep" mechanisms and physics-informed predictive systems.
Inference 101: SambaNova CEO Rodrigo Liang
Sambanova has secured its first $1 billion tranche at an $11 billion valuation, bringing its total capital raised to $2.5 billion as it pivots to optimizing inference for trillion-parameter models. The company's SN40 architecture enables premium, high-accuracy inference within standard 10-kilowatt air-cooled racks, offering a scalable alternative to the massive, liquid-cooled data centers required by competing GPU technologies. This infrastructure strategy, led by founder Rodrigo Yang, supports a heterogenous data center model and edge deployments to meet the latency demands of agentic AI while allowing cloud providers to maximize revenue per rack.
- All-In Podcast50 min
Former Intel CEO on What Went Wrong, What's Next + Lovable CEO on the Real Promise of Vibe Coding
Pat Gelsinger, Jason, Anton Osika
Intel CEO Pat Gelsinger diagnosed the company's strategic decline as a fifteen-year period of non-technical leadership that diverted $100 billion to shareholders rather than manufacturing infrastructure, allowing competitors like NVIDIA and TSMC to seize market dominance. He further warned of acute geopolitical risks to the semiconductor supply chain in Taiwan while projecting that AI growth will be constrained by energy capacity rather than a speculative bubble. Concurrently, Lovable founder Anton Osicka outlined a business model achieving $600 million in revenue by leveraging AI to enable non-technical users to build production-ready software, fundamentally reducing development costs and accelerating enterprise tool creation.
Senra Systems' $65M Series B: Fixing Aerospace & Defense's Biggest Bottleneck
Jordan Black, Ken Venner, Molly O'Shea
Senra Systems successfully closed a $65 million Series B round led by Lower Carbon and Interlagos, bringing its total capital to $100 million while integrating SpaceX veteran Ken Venner into its executive leadership. The company addresses the critical bottleneck in wire harness assembly by deploying a proprietary Manufacturing Operating System and accelerated training program to transform fragmented, manual processes into scalable software-driven production for defense and commercial clients. With an 80,000-square-foot facility already producing 4,000 units weekly and a strategy to replicate this model globally, Senra aims to automate complex manufacturing workflows to support the surging demand in electrification, aerospace, and satellite sectors.
- Sequoia Capital49 min
Anthropic's Katelyn Lesse & Angela Jiang: Building an Ecosystem, not a Walled Garden
Katelyn Lesse, Angela Jiang, Sonya Huang, Lauren Reeder, Caitlin
Anthropic is pivoting its platform strategy from a knowledge-centric foundation to an execution and coordination layer, aiming to democratize custom software development through a unified architecture for both internal and external users. This roadmap introduces specialized primitives for "token-heavy" verticals like coding and finance while enabling flexible model routing and ecosystem interoperability through standards like the Model Context Protocol. By prioritizing cost optimization and advanced workflow orchestration, the company seeks to make the last mile of AI-driven development economically viable for builders ranging from individual developers to large enterprises.
- All-In Podcast52 min
The Trillion-Dollar Industries AI Is Disrupting: Voice, Law & the End of the Billable Hour
Eleven Labs reported $600 million in annual recurring revenue with zero attrition among its founding staff, while Legor achieved $150 million in direct sales by replacing hourly billing with AI-driven transaction models in the legal sector. These companies illustrate a market shift where specialized AI agents handle complex tasks like voice restoration and legal analysis, respectively, without relying solely on general-purpose frontier models. By embedding engineers directly into product teams and utilizing narrow, fine-tuned systems, both firms prioritize security, data quality, and rapid deployment over traditional scaling methods.
What AI Leaders Really Think | Dylan Field, OpenAI, Boston Dynamics, MIT, IVP
Dylan Field, Ian Silber, Brian Ringley, Niko Klein, Holly Herndon, Zach Lieberman, Shreyas Garg, Molly
Figma's Dylan Field, Boston Dynamics' Brian Ringley, and OpenAI's Ian Silber outlined a strategic shift where AI serves as a collaborative lever for execution rather than a replacement for human intent, while advancing hardware reliability and interface fluidity. Speakers from IVP, MIT Media Lab, and musician Holly Herndon further emphasized that rapid prototyping, data curation, and systemic thinking are now essential for navigating the transition from static tools to autonomous agents in design and robotics. Collectively, the event framed the future of technology as a convergence of physical and digital realms that prioritizes high-level human creativity to overcome market homogenization and drive mass adoption of complex systems.
"Dig Through Your Couches. SpaceX Needs It." Cyan Banister on Luke Nosek's Pitch
Cyan Banister, Luke Nosek, Scott Banister, Molly O'Shea
Ranking as the world's top angel investors, Cyan and Scott Bannister leverage a methodology of identifying non-obvious trends to secure transformative stakes in companies like SpaceX and Anduril. During their discussion at Long Journey HQ, they outline a future dominated by AI-driven robotics while advocating for decentralized models to counter surveillance states and urging a shift away from traditional degrees toward artisanal entrepreneurship. Blending this strategic foresight with personal philosophies on radical authenticity and introspection, the couple emphasizes the critical need for American deep tech resurgence to navigate the coming "consumer wave" of artificial intelligence.
- All-In Podcast1h 4m
Open Source Wins, AGI Is Here, and Scorsese’s AI Toolkit with CEOs of Cerebras & Black Forest Labs
Andrew Feldman, Robin Rombach, Martin Scorsese
Cerebras Systems leverages a $25 billion order backlog from major tech giants to deploy chips that accelerate AI reasoning fifteen times faster than standard inference, effectively achieving early Artificial General Intelligence while reshaping global energy infrastructure. Simultaneously, Black Forest Labs utilizes its pioneering latent diffusion algorithms to bridge generative media and robotics, partnering with entities like Martin Scorsese to create scalable production tools and autonomous "world models." Both companies advocate for a hybrid ecosystem combining open-source accessibility with proprietary sovereignty, aiming to resolve economic bottlenecks and regulatory challenges through staged deployments and secure data practices.
- 80,000 Hours53 min
The Next President May Control Superintelligence
Sneha Revanur, Zershaaneh Qureshi
Founded by Sneha Ravenor at age 15, the nonprofit ENCODE has evolved from capability skepticism to spearheading a strategic campaign to regulate existential AI risks through state-level legislation and coalition building. The organization successfully influenced California's SB 53 and SB 1047 by prioritizing whistleblower protections and internal deployment reporting, while simultaneously dismantling corporate intimidation tactics like the OpenAI subpoena through diplomatic engagement. Facing the 2028 election as a potential turning point for AI governance, ENCODE advocates for a phased regulatory approach that codifies voluntary safety standards to build political capital before pursuing aggressive liability measures.
- Sequoia Capital55 min
Inside Zipline's Autonomous System: 140M Miles, Zero Incidents
Keller Rinaudo Cliffton, Eric Watson, Alfred Lin, Pat Grady
Since its 2016 launch in Rwanda, Zipline has evolved from a struggling medical logistics provider into a global autonomous infrastructure operator serving 5,000 hospitals across eight countries. The company now achieves a safety record of zero incidents over 140 million commercial miles while leveraging a vertical integration strategy to reduce delivery costs below those of human-driven vehicles. This operational success recently facilitated a $550 million partnership with the US State Department aimed at deploying similar life-saving services under a new commercial diplomacy framework.
Accel: The Quiet Firm Behind Facebook, Cursor, Nebius, Lovable, Vercel
Arun Mathew, Miles Clements, Matt Weigand, Molly O'Shea
Accel leverages its multi-stage platform and three-decade partner cohesion to deploy hundreds of millions in capital across the full technology stack, recently leading significant investments in AI infrastructure giants like Nebius and cybersecurity leader Cyera. The firm strategically balances early-stage discovery with massive late-stage checks targeting potential trillion-dollar outliers, driven by a thesis that artificial intelligence will transition from hype to tangible real-world efficiency in sectors ranging from healthcare to developer tools. By prioritizing operational depth and a silent partnership model over marketing, Accel aims to capture exponential returns as the market converges on trusted platforms capable of scaling proven AI workloads.
Dylan Field on the “Permanent Underclass of Zero Taste”
At Config 2024, Figma CEO Dylan Field addressed a global audience of 10,000 designers and engineers to refute narratives that AI renders design obsolete, asserting instead that human intent and cultural context remain essential for scalable systems. The event highlighted Figma's strategic pivot toward unifying design and code interfaces while introducing tools like Figma Weave to ensure AI outputs align with specific brand voices rather than generic averages. By emphasizing "agent swarms" and data liquidity, the conference outlined a roadmap where platforms empower users to build bespoke tools, shifting market focus from job displacement fears to enhanced offensive productivity capabilities.
- Milken Institute55 min
The European Opportunity | Global Conference 2026
Gillian Tett, Martin Blessing, Hendrik Brandis, Thomas Buberl, Pascal Cagni, Anne-Christine Champion, Michele Giddens
Key European financial and political leaders are driving a comprehensive reform agenda to bridge the US-Europe productivity gap by establishing a €500 billion German defense fund, transitioning Germany toward a funded pension model, and accelerating France's software entrepreneurship through a simplified "28th regime." To unlock trapped savings and scale unicorns, proponents like AXA CEO Thomas Buhl are advocating for a rapid Capital Markets Union and "military-style" project execution to redirect hundreds of billions into growth investments. Simultaneously, the region is pivoting its technological advantage from abstract AI models to physical industrial applications while leveraging sovereign defense initiatives to create new dual-use supply chains independent of US reliance.
- Sequoia Capital1h 10m
Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis
Dylan Patel, Shaun Maguire, Sonya Huang
Semi-Analysis, founded by Dylan Patel after a period of homelessness and a stint in quantitative trading, has grown to a 90-person team generating nearly $100 million in revenue by blending engineering expertise with hedge fund economics. The firm leverages Patel's annual attendance at over 40 global semiconductor conferences to gather proprietary supply chain data and launched InferenceX, a living benchmarking platform supported by over $50 million in compute donations from major tech firms. Looking ahead, the company projects critical shifts in the industry driven by power grid limitations, the obsolescence of single-architecture hardware, and a strategic pivot toward software-hardware co-design to navigate the escalating demands of artificial intelligence.