Latest Interviews
Showing 31–45 of 177 transcripts.
Clear all filters- Sequoia Capital11 min
AI That Designs Its Own Chips: Ricursive's Anna Goldie and Azalia Mirhoseini
Anna Goldie, Azalia Mirhoseini
Founded by former leaders from Google Brain, Anthropic, and DeepMind, Recursive Intelligence has deployed its AlphaChip technology to optimize billions of transistors for Google's TPU and Axion lines while adopting by MediaTek. The company currently accelerates chip design by running static timing analysis 1,000 times faster than commercial tools, enabling AI agents to generate curved, organic layouts that reduce wire lengths and cut annual design cycles from months to days. Looking ahead, Recursive plans to democratize custom silicon through a platform model that delivers fabrication-ready layouts without in-house teams, ultimately aiming to vertically integrate design and fabrication into a self-reinforcing loop for frontier AI systems.
- Sequoia Capital9 min
Inside the Rise of Autonomous AI Hackers: XBOW's Oege de Moor
The presentation argues that the cybersecurity arms race has shifted to autonomous AI attacks, exemplified by an AI agent named XBO that recently achieved global dominance on HackerOne by discovering critical Microsoft Bing vulnerabilities through black-box testing. Because current defensive tools often fail to verify exploitability in live environments, the speaker urges organizations to immediately integrate autonomous AI into their workflows to counter negative exploit velocity before open-weight models close the capability gap within six to nine months. Ultimately, the event posits that future security success depends entirely on adopting AI-driven offensive and defensive systems rather than relying on traditional human-only methods.
- Sequoia Capital14 min
Why the Brain Computes 1,000,000x More Efficiently Than A GPU: Unconventional AI's Naveen Rao
Unconventional AI CEO Navin Rao is deploying a prototype that replaces traditional von Neumann architectures with nonlinear dynamical systems to overcome the impending energy saturation of current AI infrastructure. By leveraging Kuramoto synchronization models, the startup achieved functional generative capabilities in six months while demonstrating energy efficiency comparable to biological neural networks. This physics-based approach aims to bypass the thermodynamic limits of digital lithography, offering a viable pathway to artificial general intelligence within strict global power constraints.
- Sequoia Capital12 min
Starcloud's Philip Johnston: Why the Cheapest Compute Will Be in Space
StarCloud CEO Philip Johnston validated the technical feasibility of space-based high-performance computing through the successful "StarCloud 1" mission, which demonstrated thermal management and radiation tolerance while executing AI inference tasks. The company has filed an FCC application for an 88,000-satellite constellation capable of delivering 20 gigawatts of compute power with sub-50-millisecond latency, targeting a $100 billion capital expenditure that becomes economically viable once launch costs drop below $500 per kilogram. While current operations focus on inference workloads, the roadmap envisions future large-scale training structures that could catalyze a transition toward a Kardashev Type 2 civilization within decades.
- Sequoia Capital9 min
Why Data Is the Real AI Bottleneck: Flapping Airplanes' Ben and Asher Spector
Launched three months ago, Flapping Airplanes is an AI lab founded by Ben, Asher, and Thiel Fellow Aidan Smith that targets data-scarce domains like robotics and scientific discovery. The company differentiates itself through a system-level approach that builds custom hardware-abstraction layers to achieve theoretical 1,000x data efficiency, bypassing the limitations of standard frameworks like PyTorch. This strategy aims to democratize access to advanced AI by overcoming the escalating costs of data acquisition, prioritizing the recruitment of unconventional minds to drive paradigm shifts in system co-design.
- Sequoia Capital26 min
ElevenLabs' Mati Staniszewski: How Voice Becomes the Interface for AI
Mati Staniszewski, Andrew Reed, Alfred Fuller, Gabriel Sanchez, Konstantin
Established in 2022 by high-school friends Gabriel Sanchez and Piotr to address monotone localization in Poland, Eleven Labs has rapidly scaled to generate over $400 million in revenue with a flat, title-less organization of 400 remote employees. The company distinguishes itself by prioritizing immediate monetization and emotional nuance in audio synthesis, evolving its technology from text-to-speech to complex voice agents deployed by governments, enterprises, and educational platforms. With a roadmap focused on emotional intelligence and the integration of audio as the primary interface for robotics, the firm maintains defensibility through proprietary data and a vast ecosystem of user-contributed voices.
- Sequoia Capital27 min
Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy
Dmitri Dolgov, Konstantine Buhler
Dmitry Dolgov, Waymo's co-founder, outlines a 21-year evolution from DARPA challenges to a sixth-generation autonomous fleet that has achieved 200 million fully autonomous miles and delivered over 20 million rides with a safety profile 13 times superior to human drivers. The company's architecture utilizes a multimodal "Foundation Model" integrating physics reasoning and spatial understanding to power a structured, end-to-end system across 11 cities, now accelerating toward global expansion in London and Tokyo through the newly launched Waymo Origin vehicle. This mission-driven approach bypasses incremental improvements to rapidly scale commercial deployment, treating full autonomy as an existential imperative to eliminate the 13 million annual road fatalities while transitioning the core technology into a primary family transportation tool.
- Sequoia Capital28 min
OpenAI's Greg Brockman: Why Human Attention Is the New Bottleneck
OpenAI executives estimate they are 80% toward achieving AGI, a milestone driven by aggressive compute acquisition strategies and architectural innovations that currently enable AI to autonomously engineer software kernels. The organization is pivoting toward an enterprise and consumer model where a single AGI entity handles complex goals, urging startups to leverage agentic coding tools for massive productivity gains while navigating a landscape where human attention has become the primary bottleneck. This shift is underpinned by anticipated scientific breakthroughs in physics and biology, alongside internal reforms designed to manage the risks of autonomous agents within a future where humans oversee teams of AI rather than writing code manually.
- Sequoia Capital32 min
This is AGI: Sequoia AI Ascent 2026 Keynote
Pat Grady, Sonya Huang, Konstantine Buhler
This analysis outlines a $10 trillion market opportunity driven by a paradigm shift from information distribution to autonomous computation, where AI agents are rapidly replacing cognitive labor with agentic systems capable of long-horizon execution. Founders are advised to leverage the "MAD" model—focusing on customer moats, immediate affordance, and bridging the adoption diffusion gap—to capitalize on a timeline that compresses years of work into days. The event further projects that by 2026, the convergence of these technologies will trigger a cognitive industrial revolution, fundamentally redefining human value from task execution to relationship building and strategic oversight.
- Sequoia Capital20 min
Robotics' End Game: Nvidia's Jim Fan
NVIDIA Robotics is transitioning from language-centric VLA models to World Action Models like Dream Zero, which prioritize learning physical laws through video prediction to enable zero-shot generalization. This architectural shift is supported by a new data collection strategy replacing low-efficiency teleoperation with scalable egocentric video and neural simulators, establishing a log-linear scaling law between training hours and dexterity. Looking toward 2040, Jim Phan projects the industry will achieve a "Physical Turing Test," an orchestration "Physical API" for automated fleets, and "Physical Auto-Research" where robots autonomously improve their own designs.
- Sequoia Capital27 min
Demis Hassabis: We're Three Quarters of the Way to AGI
Demis Hassabis, Konstantine Buhler, Dennis
Demis Hassabis founded DeepMind with the strategic intent of leveraging game development revenue to fund the pursuit of artificial general intelligence, a goal he predicts will be realized by 2030. Following a pivotal breakthrough with AlphaFold that solved the protein folding problem, the organization expanded into Isomorphic Labs to accelerate drug discovery and is now pioneering the application of AI for scientific simulation in fields like biology and economics. Hassabis maintains that classical neural networks are sufficient to model complex biological systems and views information as the fundamental building block of the universe, positioning AI as the ultimate tool for understanding reality.
- Sequoia Capital44 min
What Founders Can Learn About Excellence From MIT President Sally Kornbluth
MIT President Sally Kornbluth defends the institution's rigid meritocratic standards, which exclude legacy admissions and resist federal pressure to ensure excellence scales without compromising integrity. Facing a high-stakes congressional hearing on campus antisemitism, she maintained a calm, factual posture that secured her survival while Harvard and UPenn leaders stepped down, attributing her resilience to a supportive board and swift crisis communication. Looking forward, Kornbluth rejects AI replacing human interaction, advocating instead for holistic education and an Oxbridge-style tutorial model to train students in critical thinking while strengthening ties to the local Boston-Cambridge tech ecosystem.
- Sequoia Capital31 min
From SEO to Agent-Led Growth: Profound's James Cadwallader
James Cadwallader, Sonya Huang, Sonia
James outlines a fundamental market shift from deterministic search to probabilistic AI agent discovery, where "profound agents" now curate brand recommendations before humans ever engage with content. He warns that this transition threatens the traditional advertising economy by bypassing human page visits, necessitating a strategic pivot where companies feed proprietary data directly into models to secure visibility in a potential "dead internet." To survive this paradigm change, marketers must abandon legacy SEO tactics and instead optimize for agent legibility, original insight, and interoperability to ensure their offerings are cited by systems like ChatGPT and Gemini.
- Sequoia Capital1h 4m
Jack Dorsey: Every Company Can Now Be a Mini-AGI
Jack Dorsey, Roelof Botha, Rula Fotha, Delaney, Brian
Block founder Jack Dorsey and Sequoia partner Rula Fotha discussed a radical restructuring of the company to eliminate traditional hierarchies in favor of an intelligence-first model driven by AI. This initiative involves flattening the organizational chart to two or three layers, redefining roles into builders, owners, and coaches, and replacing static roadmaps with a proactive system that anticipates customer needs. Supported by a recent reduction in workforce and a shift toward fluid leadership, the transformation aims to maximize decision speed and align the company's intelligence directly with customer outcomes.
- Sequoia Capital1h 0m
Oura’s Tom Hale: What People Don’t Tell You About Being CEO
Aura CEO Tom Hale navigates the "messy middle" of scaling 200 to 2,000 employees by rejecting bureaucratic layers and enforcing a hybrid work culture that balances American capitalism with Finnish social traditions. His controversial pivot from hardware sales to a $6 monthly subscription generated industry-leading retention by prioritizing continuous value delivery while strategically leveraging partnerships with Gucci to reposition the ring as a fashion accessory. Hale emphasizes that effective leadership requires operating across all functions to build empathy, maintaining a 90/10 missionary-to-mercenary ratio, and shielding the organization from the "Dilbert effect" by promoting internal candidates with a path to the C-suite.