Latest Interviews
Showing 91–105 of 298 transcripts.
Clear all filters- RAISE Summit17 min
DDN President, Paul Bloch: AI is the Pivot -- Data is the Power
Paul Bloch, co-founder of DDN, outlined the emerging fifth industrial revolution at the Paris Race Summit, emphasizing that while Nvidia dominates training, the industry is rapidly pivoting toward massive inference farms and sovereign AI infrastructure across Europe. DDN addresses this shift by managing the critical data layer for AI factories scaling to hundreds of thousands of GPUs, with its new Infinia product demonstrating a 22x acceleration in time-to-result and significant cost savings for clients like XAI and Google. As European nations invest billions in data sovereignty and global competitors race to deploy million-GPU clusters, the summit highlighted that human expertise remains essential to stabilize these complex systems while accelerating deployment across healthcare, finance, and energy sectors.
- RAISE Summit17 min
Windsurf CTO, Alex Laubscher: Engineering at the Speed of Change
Alex Laubscher, Dimitris Bontolos
Windsurf has evolved from an autocomplete tool into an agentic IDE, leveraging a million-user base and strategic partnerships with major enterprises like JPMorgan and Dell to navigate the shift from AI adoption to continuous adaptation. The platform drives efficiency in complex legacy environments by integrating real-time context from tools like Figma and Slack while meeting strict security standards through FedRAMP accreditation and a new Frankfurt data center. Recent deployments, such as the infrastructure case study with Ferrovial, demonstrate how these advanced retrieval capabilities compress development timelines from months to days, reinforcing the company's focus on high-value brownfield modernization over consumer applications.
- Milken Institute14 min
A Conversation with US Secretary of Education Linda McMahon | Global Conference 2025
Appointee Linda McMahon, drawing on her business leadership background, has launched federal investigations into universities over civil rights compliance while initiating a strategic plan to dismantle the Department of Education by shifting authority to states and families. This agenda includes increasing charter school funding, integrating artificial intelligence into curricula, and prioritizing workforce development to reduce reliance on four-year degrees. Although the full elimination of the department requires congressional approval, the current administration has already cut major data collection budgets and redirected resources toward parental choice and local control.
- All-In Podcast13 min
"What The F Are We Doing?" David Friedberg On BBB’s Deficit Increase & Trump vs. Elon
The White House and Treasury officials, including Scott Besson and Ray Dalio, are advocating for a "333" economic strategy to reduce the federal deficit-to-GDP ratio to 3% while stimulating 3% growth and controlling inflation. This approach relies on unproven variables such as tariff revenue and tax cuts, facing skepticism from economists who warn that current structural incentives in Congress and massive hidden liabilities make the target unachievable without monetary expansion. Concurrently, analysts project a strategic pivot for Elon Musk to leverage his $250 million in political expenditures to define a specific "America Pack" focused on balanced budgets and sustainable energy, aiming to influence policy without engaging in direct conflict with the Trump administration.
- All-In Podcast12 min
Which Company Is Going To Win The AI Race? - David Friedberg
David Friedberg, Chamath, Jason, Thomas, Free
Investors Thomas, Chamath, and Freeman identified NVIDIA, Tesla, and Google as the primary mid-term AGI investment vehicles, citing NVIDIA's foundational GPU architecture, Tesla's vertical integration into physical robotics, and Google's diversified portfolio spanning search, quantum computing, and multimodal models. The panel analyzed a strategic economic pivot for Google from click-based advertising to token pricing while debating the valuation risks of Tesla's current premium against its high-conviction potential in the humanoid robotics sector. Despite NVIDIA's status as the most durable business, the discussion highlighted a severe, albeit low-probability, long-term threat from China's rapid advancements in semiconductor manufacturing and the emergence of independent domestic chip stacks.
- All-In Podcast8 min
"I Don't Think Apple Has A Chance" - The Brutal Truth About Apple - Chamath Palihapitiya
Chamath Palihapitiya, Jason, Friedberg, Thomas
Apple's current hardware strategy relies on tactical optimization of legacy iPhone and accessory sales, creating internal barriers that hinder the development of disruptive AI innovations despite speculative collaborations involving Johny Ive and OpenAI. Chamath Palihapitiya and Thomas compare this AI transition challenge to Michael Jordan's failed baseball attempt, noting that Siri's stagnation contrasts sharply with modern AI capabilities while acknowledging Apple's successful prior pivot to recurring revenue models. Meanwhile, the broader market favors high-growth themes like AI and crypto, where Meta's acquisition of Scale AI has encouraged aggressive IPOs for firms like CoreWeave, effectively leaving traditional S&P 500 companies with stagnant single-digit growth behind.
- Milken Institute18 min
Better in Bed: Sleep Smarter Tonight with The Sleep Doctor | Global Conference 2025
Dr. Michael Breus, Rachel Goldstein, Dr. Michael Bruce
Dr. Michael Bruce clarifies the distinction between clinical sleep doctors and researchers while outlining diagnostic innovations like home sleep tests and non-CPAP therapies for sleep apnea and insomnia. He details behavioral protocols for nighttime waking, including the 4-7-8 breathing technique to lower heart rates for unconsciousness and the benefits of Non-Sleep Deep Rest as a sleep alternative. The discussion concludes by linking genetic chronotypes to daily scheduling and highlighting the specific hormonal balance required for successful intimacy, noting that current common habits often conflict with biological optimization.
- Sequoia Capital10 min
How to Scale AI Application Inference 100x ft. Fireworks’ Lin Qiao
Fireworks addresses the critical gap between generic model capabilities and specific application needs by co-optimizing inference across quality, speed, and concurrency for over 100,000 variables. This strategic approach reduces inference costs by 10x to 100x through virtual cloud infrastructure that dynamically selects hardware and aligns data distributions, enabling rapid enterprise scaling. The platform has already demonstrated success in transforming high-cost operations into sustainable models, exemplified by a food chain expanding to 1,000 shops and a software firm serving 25 million developers within three months.
- Goldman Sachs7 min
Why tech stocks could keep rallying
Following a sharp correction in early 2024, the Nasdaq recovered to a flat annual performance driven by resilient S&P 500 earnings growth, clearer trade policies, and renewed capital deployment into artificial intelligence. Goldman Sachs technology specialist Pete Callahan highlights that large-cap tech stocks are regaining defensive status amid a return of dispersion within the "Magnificent Seven," creating specific stock-picking opportunities. With macro fears receding in favor of micro-level AI catalysts, the prevailing strategy recommends maintaining positions through the remainder of the year despite ongoing scrutiny of inflation data and bond market rates near 4.5%.
- Sequoia Capital20 min
Will Open Source AI Overtake Closed Models? Ft. Olama, Fireworks and Open Router
Jeff Morgan, Dmytro Dzhulgakov, Alex Atallah, Dima, Matthew Walkerman
Industry leaders from Ollama, Fireworks, and OpenRouter advocate for a balanced future where open-source and closed-source models each command 50% of inference tokens, driven by the strategic advantages of decentralized innovation and lower capital barriers. While current open adoption sits at 30%, panelists predict this share will expand as foundational models improve through reinforcement learning and enterprises prioritize ownership of proprietary fine-tuned artifacts. This shift relies critically on sustainable decentralized inference infrastructure to compete against the entrenched advantages of large, closed-source providers.
- Sequoia Capital7 min
Open Evidence Captures Doctors’ Collective Wisdom with AI ft. Zachary Ziegler
OpenEvidence, a medical search tool used daily by over 25% of US physicians, recently enabled an internal medicine doctor to successfully manage an in-flight emergency for an immunocompromised cancer patient without diverting the aircraft. By synthesizing current literature and CDC data, the platform confirmed the patient did not require immediate intervention and provided a targeted treatment protocol that ensured a positive outcome upon landing. Building on this high-volume, real-time performance, the company is now expanding into direct workflow integration and developing an Aggregate Clinical Wisdom initiative to encode expert consensus from top specialists across various fields.
- Sequoia Capital10 min
9 Years to AGI? OpenAI’s Dan Roberts Reasons About Emulating Einstein
OpenAI demonstrated a strategic pivot toward test-time compute and reinforcement learning by showcasing models like O1 and O3 that solve complex physics problems, such as quantum electrodynamics and General Relativity, in minutes compared to human timescales. To support this new scaling paradigm where reasoning effort outweighs pre-training data, the organization plans to raise $500 billion to construct massive data center facilities in Abilene, Texas. This infrastructure investment aims to accelerate a timeline predicting that within nine years, systems will evolve from reproducing existing scientific knowledge to generating novel discoveries comparable to Einstein's major breakthroughs.
- Sequoia Capital9 min
How OpenAI Built its Groundbreaking Deep Research Product ft. Isa Fulford
OpenAI's Deep Research introduces an agentic o3 model capable of executing complex, multi-step online investigations over five to thirty minutes to generate analyst-level reports. Targeted at professionals like venture capitalists and academics, the system synthesizes cross-lingual data through interactive clarifications and real-time transparency into its reasoning process. While current versions prioritize read-only browsing and citation granularity, the roadmap outlines plans to integrate these tools into broader reasoning models and enable autonomous action-taking based on findings.
- Sequoia Capital19 min
The Data Center is the New Unit of Compute: Crusoe CEO Chase Lochmiller
Chase Lochmiller, David Kahn, Pat
Crusoe Energy is rapidly constructing massive AI factories in Abilene, Texas, leveraging a vertically integrated supply chain to deliver gigawatts of power capacity decades ahead of traditional utility timelines. By repurposing stranded renewable energy and deploying advanced cooling architectures, the company accelerates the shift toward sovereign AI infrastructure while addressing critical bottlenecks in power and hardware availability. Founder Chase Lockmiller positions this industrial-scale approach as the mechanism to manufacture intelligence, creating a resilient foundation for the next phase of artificial general intelligence.
- Sequoia Capital18 min
The Physical Turing Test: Jim Fan on Nvidia's Roadmap for Embodied AI
NVIDIA Director Jim Phan outlines the "Physical Turing Test," a benchmark for robots performing complex physical tasks indistinguishable from human performance, while identifying data scarcity as the primary bottleneck for current systems. To overcome this, NVIDIA employs Simulation 2.0, utilizing generative models like Robocasa and video diffusion to exponentially scale training environments and introduce the GR00T N1 open-source model capable of zero-shot generalist control. This technological evolution aims to transition the physical world into a "Physical API," where software-defined skills enable autonomous robots to seamlessly handle household and industrial tasks, effectively embedding human-like dexterity into everyday infrastructure.