Sequoia Capital
Showing 106–120 of 186 transcripts.
- 10 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.
- 20 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.
- 32 min
OpenAI’s Sam Altman on Building the ‘Core AI Subscription’ for Your Life
Sam Altman, Jens Nordvigsen, DAN GALPIN, SAM SACCONE
OpenAI has evolved from a 14-person research lab into a commercial powerhouse driven by the GPT-3 API and the viral ChatGPT platform, which now serves 500 million weekly active users. Under Sam Altman's leadership, the organization prioritizes high-impact small teams and a vision of becoming a personalized AI operating system while navigating a market where startups outpace legacy enterprises in agility. The company's roadmap emphasizes the transition from text-based assistants to autonomous agents by 2025, with future infrastructure expected to facilitate seamless agent-to-agent communication and eventual robotics applications.
- 31 min
Google's Jeff Dean on the Coming Transformations in AI
This presentation outlines the trajectory of deep learning from its 2012 scaling breakthroughs toward a future of multi-modal agents and physical robotics capable of performing thousands of tasks within two years. It details a converging industry landscape where a handful of foundational models drive a secondary ecosystem of efficient, specialized architectures supported by Google's upcoming Ironwood TPU generation and Pathways system. The discussion further projects how these advancements will revolutionize scientific discovery, democratize virtual engineering through junior-level AI assistants, and reshape economic structures via dynamic compute allocation.
- 7 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.
- 24 min
Anthropic CPO Mike Krieger: Building AI Products From the Bottom Up
Mike Krieger, Trevor Johnsen, Sam Nelsons, Emily Fortuna, Dave Elliott Smith, Mike McDonald Jr.
At a recent strategic discussion, Anthropic executive Mike McDonald Jr. outlined a paradigm shift where the distinction between AI-generated and human-created content becomes irrelevant, emphasizing instead that provenance via blockchain and compelling human storytelling will define future value. The organization is operationalizing this vision through a "bottoms-up" product philosophy and the development of the Model Context Protocol (MCP), which evolved from engineer-led integrations to establish a standardized, open framework for autonomous agent interactions and economic transactions. Internally, this approach has resulted in massive AI adoption with over 70% of code reviews generated by machines, though leaders note that non-technical organizational bottlenecks now pose the primary constraint on high-velocity development.
- 10 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.
- 9 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.
- 34 min
How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra
Bret Taylor, Ravi, Robin Wright, Clay, DAN GALPIN, BRETT HESTERBERG
Brett Taylor, formerly CTO of Facebook and current leader of Sierra, outlines a transformative vision for the AI sector where specialized, outcome-based agents replace traditional websites and software subscriptions. Taylor advises entrepreneurs to evolve beyond personal technical expertise to avoid stagnation, emphasizing that the next trillion-dollar opportunities lie in vertical-specific solutions that deliver tangible business results rather than generic productivity tools. Through Sierra's innovative pricing model that charges only for autonomous resolutions, the company exemplifies a strategic shift toward selling outcomes, positioning startups to outmaneuver legacy incumbents struggling to adapt their business models to this new era.
- 19 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.
- 18 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.
- 29 min
AI's Trillion-Dollar Opportunity: Sequoia AI Ascent 2025 Keynote
Pat Grady, Sonia, Konstantin Vargas
Sequoia Capital outlines a strategic framework for the AI opportunity, predicting that the sector will disrupt both software and services markets by shifting value from selling tools to selling outcomes. The firm emphasizes investing in companies that demonstrate durable adoption and functional data flywheels, noting that 2024 marked a transition from hype to utility in vertical applications like healthcare and law. Looking ahead, the presentation predicts the emergence of an agent economy where interconnected agents manage resources and tasks, potentially enabling a "one-person unicorn" era through new management strategies.
- 8 min
Ambient Agents and the New Agent Inbox ft. Harrison Chase
LangChain CEO Harrison Chase introduces ambient agents as background systems designed to execute complex, multi-step operations by monitoring event streams rather than relying on direct chat input. These agents operate within a strict human-in-the-loop framework that utilizes patterns like action approval, editing, and time-travel rollback to ensure accuracy while preventing full autonomy. To support this architecture, LangChain has enhanced its LangGraph infrastructure for state persistence and scalability while deploying an Agent Inbox UI that enables users to manage long-running workflows through direct oversight and feedback integration.
- 48 min
Building the System of Record for the AI Era ft Workday CEO Carl Eschenbach
Carl Eschenbach, Sonya Huang, Pat Grady
Workday CEO Carl Eschenbach is redefining the platform as a unified "Agent System of Record" to govern both human employees and AI agents across its database of over 70 million users. To monetize this shift, the company is deploying a multi-faceted pricing model involving seat-based uplifts, role-based agent fees, and consumption-based API access while utilizing strategic acquisitions like HiredScore to drive measurable productivity gains. Despite an 8% workforce restructuring to fund reinvestment, Eschenbach emphasizes that AI will serve as a growth engine rather than a cost-cutting tool, maintaining a human-in-the-loop approach for critical decisions to preserve the company's core values.
- 56 min
The Quest to ‘Solve All Diseases’ with AI: Isomorphic Labs’ Max Jaderberg
Founded to construct a general AI-driven drug design engine, Isomorphic Labs has leveraged Demis Hassabis's Nobel Prize-winning leadership and Max Yoderberg's AI expertise to release AlphaFold 3, a diffusion-based model that predicts the 3D structures of proteins, DNA, RNA, and small molecules. By replacing months of traditional crystallization with instant in-silico analysis, the company collaborates with industry partners like Eli Lilly and Novartis to navigate the 10^60-sized chemical space and advance programs in oncology and immunology without operating its own wet labs. This approach positions AI as a fundamental, indispensable tool for the entire pharmaceutical industry within five years, while the firm advocates for new regulatory frameworks to validate these predictive models for clinical trials.