Sequoia Capital

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チャンネル • 3個の番組

テクノロジー

テクノロジー

アップデート：毎週
ビジネス

ビジネス

アップデート：隔週
起業

起業

アップデート：隔週

6月30日

Why Hardware-Software Co-Design Is AI's Real 100x: Dylan Patel of SemiAnalysis

Dylan Patel, founder of SemiAnalysis, argues the biggest gains in AI don't come from faster chips, they come from software-hardware co-design. Optimizing the model, the kernels, and the silicon together turns a 2x here and a 2x there into 100x. He explains why DeepSeek's experts were shaped for Nvidia's Hopper (and why TPUs struggle to run it), why OpenAI's sparser models and Anthropic's denser ones pull them toward different hardware, and why the so-called CUDA moat was never really about CUDA. Dylan breaks down InferenceX, his living benchmark that runs the latest models on over $50M of donated hardware daily, tracking a roughly 60x annual drop in cost per unit of quality. He makes the case that inference will be a bigger market than oil, that the compute crunch persists because models expand the value of useful work faster than compute grows, and why Jensen Huang is bankrolling neoclouds to engineer a multipolar world. Hosted by Shaun Maguire and Sonya Huang, Sequoia Capital

6月30日

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1時間10分
6月24日

Memory and Continual Learning: Engram's Dan Biderman and Jessy Lin

Dan Biderman and Jessy Lin, co-founders of Engram, are building a neolab around memory and continual learning, which they call two sides of the same coin. Their contrarian premise: instead of stuffing ever-larger prompts into the context window or bolting on RAG, bake a team's knowledge directly into the model's weights, so it knows your company the way an employee of several years does. The payoff: matching or beating frontier models while consuming up to 100x fewer tokens. Working with partners like Microsoft, Notion, and Harvey, the team draws on roots in computational neuroscience and state-space architectures to attack what they see as the real bottleneck in AI — not raw intelligence, but memory and continual learning. In contrast to the frontier labs' race toward one ever-bigger model and AGI, Dan and Jessy imagine a world where everyone has their own model — privately trained, always learning, and good at the things you actually care about. The real ChatGPT moment for memory, they argue, is the day your model feels like an intern that genuinely got smarter overnight. Hosted by Sonya Huang and Shaun Maguire, Sequoia Capital

6月24日

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45分
1日前

Inside Zipline's Autonomous System: 140M Miles, Zero Incidents

The largest commercial autonomous system on earth isn't a robotaxi fleet — it's Zipline, which has flown 140 million autonomous miles with zero safety incidents. Co-founder Keller Rinaudo Cliffton and Eric Watson, who leads systems engineering and safety, explain why the drone itself is only 15% of the solution. The rest spans inventory management, air traffic integration, and engineering systems such as a dual flight computer failover protocol that recently saved a delivery mid-flight. They trace Zipline's path from launching blood delivery in Rwanda in 2016 (when drone delivery was illegal in the US) to a 51% reduction in maternal mortality in that country, a $550 million commercial diplomacy partnership with the State Department, and a cost curve that fell from $300 per delivery to $12. Zipline is now racing toward a million deliveries a day, and a quiet inflection point when autonomous delivery becomes cheaper than sending a car. Hosted by Alfred Lin and Pat Grady, Sequoia Capital

1日前

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55分
2025/12/04

Palo Alto Networks ft Nir Zuk & Nikesh Arora - The Grudge That Transformed Cybersecurity

In the early 2000s, the cybersecurity industry was dominated by incumbents focused on high margins, not innovation. Nir Zuk tells the story of how, frustrated by this stagnant culture, he set out on his own with a radical idea: the Next-Generation Firewall. His vision was to unify dozens of security functions into a single, intelligent platform delivered via cloud—an approach everyone thought was crazy. Palo Alto Networks started as a disruptive startup with Nir sporting a "Check Point Killer" vanity license plate, and grew to dominate cybersecurity. We explore the crucible moments that defined its path: the controversial decision to insist on being a new kind of "firewall" vs. a “firewall helper,” the challenge of scaling a hyper-growth company, and the critical pivot from building everything in-house to current CEO Nikesh Arora’s aggressive acquisition strategy that remade the company for the cloud era. Nir, Nikesh, and the core leadership team offer a masterclass in product conviction, strategic transformation, and the courage to disrupt yourself before the market does it for you. Featuring: Nir Zuk, Nikesh Arora, Lee Klarich, Rajiv Batra, Mark McLaughlin, Jim Goetz, Asheem Chandra Hosted by: Roelof Botha, Sequoia Capital

2025/12/04

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47分
5月7日

Surviving Twitter's Growing Pains: Ex-CEO Dick Costolo

Dick Costolo took over as CEO of Twitter in 2010, inheriting what he calls "the drama queen of hypergrowth companies." Hired as the adult in the room behind founders Jack Dorsey and Ev Williams, Dick spent five years dragging Twitter from a chaotic collective into a public company, and learned a scale-up CEO playbook in the process. We get into how he killed group decision-making and replaced it with what he calls "bias to yes"—only your direct manager can tell you no. Why he stopped solving problems with processes ("the launch checklist was 17 pages long") and started solving them with DRIs and operating control. How he managed by walking around the engineering floor at 9:30 PM to figure out what was actually getting built. And the Steve Jobs trick he stole from Pixar for finding out what's really going on inside a team. Dick is candid about the misses, too, including trying to buy Instagram for around $700 million before Facebook did, and his own struggles to fire fast. When I was running HubSpot, I fired slow almost every time and regretted it. Dick did better, but he'll tell you it never gets easier. If you're scaling past 150 people and feeling the organizational barnacles build up, this one's for you.

5月7日

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1時間8分
5月26日

How Cursor Trained Composer on Fireworks: Distributed Infrastructure for High-Performance RL

Cursor's Federico Cassano and Fireworks' Dmytro Dzhulgakov explain how they collaborated to build Composer as a specialized foundation model. The core insight: models have finite capacity in their weights, and allocating all those bits to the singular task of software engineering in Cursor frees the model to be both better at the task and far more efficient at inference. Rather than start from pre-training and work up, they took an unconventional top-down approach — mid-training and RL on top of an open-source base to get a useful model into users' hands fast, then specializing the model around real Cursor usage. With Fireworks providing distributed infrastructure, Composer delivers frontier-class coding performance with the speed of a much smaller model. Hosted by Sonya Huang, Sequoia Capital

5月26日

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46分
6月4日

David Senra: Mute the World and Build Your Own

David Senra has spent a decade reading the biographies of 400+ founders for his podcast Founders - and lately he's started interviewing the living ones face to face. He joins me to share what all of them actually have in common, and it isn't what Silicon Valley thinks. His one word is focus — what he calls "mute the world and build your own." He walks through Dana White buying the UFC for $2 million and turning it into a nearly $8 billion TV deal by ignoring everything outside his own arena; why Daniel Ek believes founder-problem fit matters more than product-market fit. We get into the idea that the best founders are driven by control, not money - and why selling your best company and trying to recapture the magic at 60 almost never works. David’s perspective on overcoming negative self-talk: at some point you have to change your fuel source from something that punishes you to something that generates. If you've ever wondered whether the founder mythology is real, David has read more of the source material than anyone alive.

6月4日

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57分
5月21日

Notion’s Ivan Zhao: The Refounder

Ivan Zhao, founder and CEO of Notion, joins me to introduce a new contender in the founder mode debate: jazz mode. Ivan has a different take than Jack Dorsey's circular org chart or Brian Armstrong's player-coach approach. He thinks hierarchy is human nature, and that you can't flatten it away but you can build a company that improvises like a jazz band instead of marching in formation. Notion has roughly 60 ex-founders on staff and a deliberately decentralized structure to make that work. We get into why Ivan rebuilt his engineering org around a barbell — super junior ICs paired with very senior architects — which is the opposite of what most AI-pilled CEOs are doing right now. He explains why building with language models is "more like brewing beer than engineering a bridge," and how Notion's first candidate interview no longer involves a resume. Ivan is the king of refoundings. He's done it twice, once from a small apartment in Kyoto with five employees left, once from Cancun the day he got early access to GPT-4. When I was running HubSpot, I described our scale-up years as boring compared to what's happening now. Ivan's advice for any CEO who's calcified and wondering if it's time to blow it up: feel the AGI first, then trust your body when it tells you to move. 00:00 Introduction 02:22 From Founder Mode to AI Org 11:00 Hiring for Taste and Agency 24:28 Refounding Notion in Kyoto 30:27 Craft Versus Commerce 32:26 When to Refound 34:07 GPT-4 Refounding Shock 45:35 Leadership and Founder Energy 53:17 Sales Culture and Closing Thoughts

5月21日

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1時間3分
2024/08/27

Sierra Co-Founder Clay Bavor on Making Customer-Facing AI Agents Delightful

Customer service is hands down the first killer app of generative AI for businesses. The reasons are simple: the costs of existing solutions are so high, the satisfaction so low and the margin for ROI so wide. But trusting your interactions with customers to hallucination-prone LLMs can be daunting. Enter Sierra. Co-founder Clay Bavor walks us through the sophisticated engineering challenges his team solved along the way to delivering AI agents for all aspects of the customer experience that are delightful, safe and reliable—and being deployed widely by Sierra’s customers. The Company’s AgentOS enables businesses to create branded AI agents to interact with customers, follow nuanced policies and even handle customer retention and upsell. Clay describes how companies can capture their brand voice, values and internal processes to create AI agents that truly represent the business. Hosted by: Ravi Gupta and Pat Grady, Sequoia Capital Mentioned in this episode: Bret Taylor: co-founder of Sierra Towards a Human-like Open-Domain Chatbot: 2020 Google paper that introduced Meena, a predecessor of ChatGPT (followed by LaMDA in 2021) PaLM: Scaling Language Modeling with Pathways: 2022 Google paper about their unreleased 540B parameter transformer model (GPT-3, at the time, had 175B) Avocado chair: Images generated by OpenAI’s DALL·E model in 2022 Large Language Models Understand and Can be Enhanced by Emotional Stimuli: 2023 Microsoft paper on how models like GPT-4 can be manipulated into providing better results 𝛕-bench: A Benchmark for Tool-Agent-User Interaction in Real-World Domains: 2024 paper authored by Sierra research team, led by Karthik Narasimhan (co-author of the 2022 ReACT paper and the 2023 Reflexion paper) 00:00:00 Introduction 00:01:21 Clay’s background 00:03:20 Google before the ChatGPT moment 00:07:31 What is Sierra? 00:12:03 What’s possible now that wasn’t possible 18 months ago? 00:17:11 AgentOS 00:23:45 The solution to many problems with AI is more AI 00:28:37 𝛕-bench 00:33:19 Engineering task vs research task 00:37:27 What tasks can you trust an agent with now? 00:43:21 What metrics will move? 00:46:22 The reality of deploying AI to customers today 00:53:33 The experience manager 01:03:54 Outcome-based pricing 01:05:55 Lightning Round

2024/08/27

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1時間13分
2025/05/14 · ボーナス

LIVE: How AI is Reinventing Software Business Models ft. Bret Taylor of Sierra

Recorded live at Sequoia’s AI Ascent 2025: Sierra co-founder Bret Taylor discusses why AI is driving a fundamental shift from subscription-based pricing to outcomes-based models. Learn why this transition is harder for incumbents than startups, why applied AI and vertical specialization represent the biggest opportunities for entrepreneurs and how to position your AI company for success in this new paradigm.

2025/05/14 · ボーナス

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35分

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