Latest Interviews
Showing 16–30 of 240 transcripts.
Clear all filters- Y Combinator8 min
The New Way To Build A Startup
Companies such as GigaML, Legion Health, and PhaseShift are redefining operational scale by automating all internal workflows—from code integration to clinical operations—rather than merely augmenting isolated functions. This "20X company" model enables lean teams of just a few employees to service Fortune 500 clients and achieve fourfold revenue growth while maintaining flat headcounts that would traditionally require hundreds of staff. By treating internal processes as the primary product, these organizations achieve AGI-level productivity, allowing them to compete directly with massive incumbents without the corresponding payroll burdens.
- a16z13 min
AI in 2026: 3 Predictions For What’s To Come (a16z Big Ideas)
Oliver Hsu, Bryan Kim, David Haber
Speakers Oliver Hsu, Brian Kim, and David Haber analyze distinct trajectories for AI adoption, ranging from autonomous scientific discovery in life sciences to consumer platforms shifting focus from productivity to digital connectivity. Hsu identifies the maturation of robot learning and simulation as prerequisites for closing the loop on self-driving labs, while Kim argues that future consumer value hinges on AI agents facilitating human relationships through deep emotional engagement. Concurrently, Haber demonstrates that the most robust business models integrate AI to directly reinforce revenue generation and proprietary data loops, as seen in contingency law firms and loan servicing platforms that scale success rather than merely cutting costs.
- 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.
- a16z39 min
Marc Andreessen and Ben Horowitz on the State of AI
Marc Andreessen, Ben Horowitz, Erik Torenberg
Industry leaders assess that AI product evolution will likely follow historical cycles of radical interface shifts while facing immediate constraints from a severe talent shortage and a looming hardware transition from chip scarcity to power availability. Geopolitical analysis warns that although the U.S. currently leads in software innovation, a six-month gap combined with American deindustrialization risks allowing China to overtake the nation in the critical embodied robotics phase. Despite speculation about a market bubble, the consensus remains that demand currently exceeds supply, with long-term success ultimately determined by whether customers validate the technology and by how effectively legacy incumbents and new entrants execute superior product strategies.
- Y Combinator39 min
From Idea to $650M Exit: Lessons in Building AI Startups
Case Text, led by a founder who pivoted the company to artificial intelligence in summer 2022, was acquired by Thomson Reuters for $650 million following the successful launch of its Co-Counsel legal assistant. The speaker outlines a methodology for building reliable AI applications by combining domain expertise with granular workflow decomposition, rigorous evaluation metrics, and iterative prompt engineering to achieve near-human accuracy. Key strategic insights for scaling include adopting value-based pricing, prioritizing side-by-side human-AI pilots to build trust, and viewing proprietary data integration and evaluation frameworks as the primary sources of long-term defensibility.
- All-In Podcast11 min
Bryan Johnson’s Best Health Hack: Lower Your RHR Before Sleep = Sleep Better and Live Longer
Brian Johnson presents an ambitious framework positioning the indefinite extension of human life as a new global ideology, utilizing biological age testing to illustrate that organs age independently and require targeted management. He identifies resting heart rate as the primary health metric and details a specific protocol involving strict sleep hygiene, diet timing, and screen discipline to lower this rate by approximately 10%. This approach aims to reverse aging trends while simultaneously treating sleep as the fundamental intervention for anxiety and depression, ultimately preparing humanity for a future defined by superintelligence.
- RAISE Summit23 min
Alex Ratner, CEO & Co-Founder, Snorkel AI: Data Centric AI in the Agentic Era
Alex, co-founder of Snorkel.ai, argues that specialized agentic systems require robust evaluation benchmarks composed of prompt datasets, rubrics, and verifiers to serve as functional product requirements. His company provides data operations platforms to major US banks and federal agencies while demonstrating that custom-trained models using programmatic evaluators can outperform GPT-4 on complex insurance underwriting tasks. This approach establishes high-quality data and verification logic as the foundational prerequisites for optimizing Reinforcement Learning in enterprise environments.
- RAISE Summit16 min
Dr. Ilya Burkov (Nebius): Powering Next‑Gen Biotech Research with High‑Performance AI and Cloud GPUs
Nebius, a vertically integrated Dutch cloud provider, leverages its unique pay-as-you-go infrastructure and top-tier supercomputer ranking to support biotech and healthcare firms in overcoming hardware bottlenecks. The platform enables critical advancements in drug discovery and radiology diagnostics for organizations like Converge Bio and Simulacra AI, which achieved significant accuracy gains and speedups over hyperscaler alternatives by utilizing on-demand H100 GPU capacity. Looking toward 2025, the company aims to expand its global footprint by integrating agentic AI and multi-omics data processing to address workforce shortages and accelerate time-to-market for new treatments.
- RAISE Summit9 min
Yuri Frayman, Co-Founder & CEO, Cast AI: Robots Will Feed the World… If We Build the Rails
SoftBank Vision Fund portfolio companies are constructing the physical infrastructure necessary to transition AI from knowledge work into the global economy, aiming to replicate the prosperity seen with previous industrial revolutions. While addressing critical constraints in energy and compute, these initiatives prioritize workforce re-education and decentralized, open-source architectures to navigate regulatory fragmentation and ensure fair access against well-funded commercial labs. The deployment of large-scale, cloud-agnostic inference networks over the next decade will ultimately determine which entities successfully harness this AI abundance.
- RAISE Summit20 min
Karl Havard, COO, Nscale on 3 Things Sovereign AI Must Deliver: Control, Compliance, and Growth
Carl, CCO of Nscale, defines "sovereign AI" as a full-stack alternative to US hyperscalers that integrates energy generation, data center construction, and model hosting to ensure total infrastructure control. Geopolitical instability and US legislative threats, such as the Patriot Act and potential tariffs, are driving European governments to adopt this "Sovereign First" model to secure data compliance and economic growth through localized "AI Growth Zones." By coordinating renewable energy surpluses with high-density AI hardware requirements, this strategy aims to retain domestic research talent and bypass the physical and legal vulnerabilities of reliance on foreign cloud providers.
- RAISE Summit18 min
Ramine Roane, CVP @ AMD: Unlocking the Next Wave of AI Open Foundations for Intelligent Systems
AMD outlines a strategic pivot where AI intelligence growth now relies on distributed compute across pre-training, post-training, and reasoning inference, supported by a hardware roadmap featuring the MI350 and MI400 series with superior memory capacity compared to competitors. The company promotes an open software ecosystem via the ROCm stack and optimized inference architectures like LMD, which are already deployed in top global supercomputers and sovereign data centers in the US, Europe, and the Middle East. By advocating for multi-vendor strategies and open standards, AMD aims to establish a global industrial-scale foundation for AI that prevents single-supplier dependency while delivering performance metrics that exceed current closed-source alternatives.
- RAISE Summit15 min
Craig Tavares, President of BuzzHPC: The Global Contest for AI Sovereignty
Craig Taveras, President and CEO of BuzzHPC, leads a Canadian-owned sovereign GPU cloud provider that constructs power-dense, hydroelectric-powered infrastructure to ensure domestic data control against foreign legal influences like the U.S. Cloud Act. Responding to a 4x increase in rack density and a shift from air to liquid cooling, the company deploys over 300 megawatts of capacity to support high-performance AI workloads while addressing critical national talent retention in Montreal, Toronto, and Alberta. This sovereign approach combines accelerated government funding with strict Protected B compliance to offer enterprises a unified, secure environment for training and hosting applications that traditional cloud providers cannot guarantee.
- a16z27 min
Software is Eating Labor
The speaker outlines a fundamental shift in the global software economy where autonomous AI agents replace human labor to capture the $13 trillion U.S. wage market, effectively transitioning SaaS from digitizing records to executing end-to-end workflows. This transformation necessitates a move away from seat-based pricing toward outcome-based models, exemplified by pilots at companies like Zendesk and startups that deploy AI to perform tasks ranging from freight negotiation to debt collection. Consequently, venture capital efforts are pivoting to identify enterprises that can fully leverage this automation to monetize vast labor markets previously inaccessible to traditional software solutions.
- Milken Institute29 min
Singapore Defence Minister & Coordinating Minister for Public Services, Chan Chun Sing | Asia Summit
Chan Chun Sing, Laura Deal Lacey
Amidst global economic stagnation and rising political fragmentation mirroring the pre-World War II era, this event examines strategies to counteract protectionism through deliberate cooperation between governments and the private sector. Singapore's leaders outline four enduring competitive advantages—long-term policy consistency, progressive rule of law, strategic partnerships, and the SkillsFuture initiative—to demonstrate how investment in human capital can maintain social cohesion. The presentation concludes with a call for industry leaders to advocate for integrated global rules and prioritize workforce upskilling, ensuring that technological progress translates into shared prosperity rather than nativist backlash.
- RAISE Summit10 min
Jack Collier, Chief Growth & Marketing Manager, IO.Net: Why Open Models Need Open Infrastructure
A recent analysis identifies a critical infrastructure bottleneck where centralized control of compute power and API dominance force 70% of users toward closed-source models despite 83% preferring open alternatives. To dismantle these barriers, io.net leverages a global distributed network of over 1,000 GPUs to slash costs from $15 to $3.50 per million tokens while offering transparent, blockchain-verified access for training and inference. The platform is further expanding its ecosystem through a new "Training as a Service" feature and an inaugural hackathon, aiming to accelerate the shift toward a permissionless, decentralized AI future.