Sequoia Capital

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Saluran • 3 Rancangan

Teknologi

Teknologi

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Perniagaan

Dua Minggu Sekali
Keusahawanan

Keusahawanan

Dua Minggu Sekali

1 hari lalu

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 hari lalu

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55 minit
30 Jun

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

30 Jun

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1 jam 10 minit
12 Mac

The Most Founder Mode CEO Working Today Isn’t the Founder: Opendoor’s Kaz Nejatian

Kaz Nejatian reveals how he left Shopify to pull off a highly unusual feat: refounding a struggling public company in just 16 days. From first attempting to take the company private and then becoming CEO with an unwavering commitment to prioritizing product, Kaz shares his unconventional playbook and approach to life. We go deep on why most enduring companies are built on "first derivatives" of their core business and not the obvious thing everyone focuses on. Kaz explains why he reads the Bible every day, how overriding life's defaults requires going full force (not halfway), and why founder mode means taking responsibility for outcomes, not processes. He breaks down the mechanics of the Opendoor turnaround, why he tethered his compensation to stock performance, and how he’s making the company AI-native. Essential listening for understanding true founder mode, or for anyone building something that matters.

12 Mac

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1 jam 3 minit
10 Jun

LIVE: Jensen Huang on Building the Dynamo of the Intelligence Age

Jensen Huang, founder and CEO of NVIDIA, makes the case that computing is undergoing its biggest shift in 60 years: from retrieval, where data centers store files we look up, to generation, where every word, image, and video is produced in real time and customized for whoever is asking. He explains why NVIDIA's AI factories are the dynamos of this era: machines that take in electrons and send out tokens of intelligence, just as Siemens' dynamo once turned motion into electricity. Jensen frames intelligence as the third force to "cocoon" the planet after electricity and the internet. He describes the five-layer cake of AI investment—energy, chips, infrastructure, models, applications—and dismantles the fear that AI will erase jobs, using radiology and software engineering to show how automation raised labor demand instead of killing it. His bottom line: you won't lose your job to AI, but you might lose it to someone who uses AI. Hosted by Konstantine Buhler, Sequoia Capital

10 Jun

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41 minit
16 Apr

What Founders Can Learn About Excellence From MIT President Sally Kornbluth

Sally Kornbluth is president of MIT and one of the best crisis leaders I've come across. Within a year of starting the job, she got summoned – not invited – to testify before Congress alongside the presidents of Harvard and UPenn. You know how that went. The others didn’t make it. Sally did, and she came out stronger. We spend a lot of time on sustaining meritocracy, which I think is one of the hardest things for any scaling CEO to pull off. Sally has a line I can't shake: if you take a lick of the lollipop of mediocrity, you suck forever. That's how MIT has operated for 150+ years. We get into how you actually hold the bar as you scale, why most founders drop it without realizing it, and what to do once you've dropped it. We also get into the crisis playbook – staying calm on the outside when you're screaming inside, why explaining is losing, and why having a board that's truly behind you is the most underrated variable in whether you survive. The board backing her was the pivotal moment, full stop. Other things we cover: what managing PhD students taught her about leading without being overbearing, the 5:1 praise ratio and why it doesn't cost you anything, how she told the federal government "no thanks" on their higher ed compact, and what AI actually means for education, including why writing is still thinking.

16 Apr

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44 minit
30 Apr

Andrej Karpathy: From Vibe Coding to Agentic Engineering

Andrej Karpathy (co-founder of OpenAI, former head of AI at Tesla, and now founder of Eureka Labs) talks with Sequoia partner Stephanie Zhan at AI Ascent 2026 about what's changed in the year since he coined "vibe coding." He explains why he's never felt more behind as a programmer, why agentic engineering is the more serious discipline taking shape on top of vibe coding, and why we should think of LLMs not as animals but as ghosts: jagged, statistical, summoned entities that require a new kind of taste and judgment to direct. He also touches on Software 3.0, the limits of verifiability, and why you can outsource your thinking but never your understanding.

30 Apr

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30 minit
24 Jun

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

24 Jun

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45 minit
19 Mei

Rebuilding IT From the Ground Up for the AI Age: Serval's Jake Stauch

Jake Stauch, founder and CEO of Serval, is building a ServiceNow for the AI era. His most contrarian bet is that the product should look like boring old enterprise software, but with unlimited intelligence. Serval's architecture splits work between two agents: an admin agent that uses code generation to spin up workflows from natural language, and a help desk agent that can only act through the tools admins explicitly approve. Jake explains why his team uses OpenAI models for end-user interaction and Anthropic models for code generation, why new model releases sometimes have to be rolled back when prompt tuning breaks, and why he's not worried the foundation labs will come downmarket. He also makes the case for "fewer, better" hiring as the only durable moat in a world where products may need to be rebuilt every six months. Hosted by Pat Grady, Sequoia Capital

19 Mei

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38 minit
14 Apr

From SEO to Agent-Led Growth: Profound’s James Cadwallader

James Cadwallader, co-founder and CEO of Profound, makes the case that we are living through the biggest platform shift in marketing history. The front door of the internet hasn't changed, but the visitor walking through it has. Where consumers once clicked blue links, AI agents now crawl the web on their behalf, synthesizing answers and steering purchase decisions at scale. James explains why Gemini, ChatGPT, and Claude all recommend brands differently, why mapping AI visibility onto traditional SEO is the wrong instinct, and why the real imperative is to equip a superintelligent agent with original insight it couldn't find anywhere else. He also digs into the dead internet theory – the possibility that human browsing could largely cease within three years – how AI advertising may become the most effective form the world has ever seen, and why agent-led marketing isn't just automation of the old work, but an entirely new capability. Hosted by Sonya Huang, Sequoia Capital

14 Apr

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31 minit
4 Mei

Waymo's Dmitri Dolgov: 20 Million Rides and the Road to Full Autonomy

Dmitri Dolgov, co-CEO of Waymo, joins Sequoia partner Konstantine Buhler at AI Ascent 2026 to talk about the 20-year arc from the DARPA Grand Challenge to fully autonomous service in eleven cities and counting. He explains how Waymo persisted through every AV hype cycle by treating safety as the non-negotiable foundation, why exponential scaling is finally here (10 of Waymo's 20 million autonomous rides have happened in the last seven months), and how the Waymo Foundation Model — a multimodal world action model that powers the driver, the simulator, and the critic — actually works under the hood. Also: why Waymo is now 13x safer than human drivers, and the moment a Waymo detected a pedestrian behind a city bus by reading the LiDAR returns of their feet.

4 Mei

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27 minit

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