
Pat Grady
@gradypb
Sequoia partner, BC alum, Wyoming native
ID: 87036799
https://www.sequoiacap.com/people/pat-grady/ 02-11-2009 21:46:21
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18,18K Followers
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We had a little too much fun with this year's Sequoia Capital ai "a scent" swag 😉 Excited for our third annual AI Ascent on Friday. cc Pat Grady Konstantine Buhler







Last week we hosted our 3rd annual Sequoia Capital AI Ascent, bringing together 150+ of the top founders and researchers in AI. Our star-studded speakers dropped hot takes and sparked inspiration for a standing-room-only audience: - jensen huang on token-generating AI factories as the


Sequoia Capital Jensen Huang of NVIDIA: * AI is the industry of the future. We're manufacturing tokens, not sneakers. AI Factories are the new industrial infrastructure. * We’re moving from "servers retrieving data" to "AI factories generating tokens" as the new economic engine. * Preserving


Sequoia Capital NVIDIA Chase Lochmiller of Crusoe: * AI data centers have become industrial-scale “AI factories.” Managing 100K+ GPU clusters requires extreme power and infrastructure capabilities—far beyond traditional data centers. * The bottleneck has shifted from chips to energy, steel, and


Sequoia Capital NVIDIA Chase Lochmiller Crusoe Sam Altman of OpenAI: * 2025 will be a year of agents doing work * 2026 will be about AI discovering new stuff (maybe scientific breakthroughs) * 2027 will be about the physical world, robots creating value * Adults use ChatGPT as a Google replacement. Young adults are using it as a


Sequoia Capital NVIDIA Chase Lochmiller Crusoe Sam Altman OpenAI Harrison Chase of LangChain: * Ambient agents are agents that listen to an event stream and act on it * Ambient agents are event-triggered and concurrent. Unlike chat agents, they act in response to background events and can run thousands of concurrent instances. They handle


Sequoia Capital NVIDIA Chase Lochmiller Crusoe Sam Altman OpenAI Harrison Chase LangChain Dan Roberts of OpenAI Strawberry 🍓: * Reinforcement learning is shifting from a “cherry on top” of the pre-training cake, to the main ingredient driving breakthroughs going forward * Imagine einstein-v1907-super-high had access to unlimited test-time compute. What new science


Sequoia Capital NVIDIA Chase Lochmiller Crusoe Sam Altman OpenAI Harrison Chase LangChain Dan Roberts Jim Fan of NVIDIA: * A new Physical Turing Test: when my trusty household robot can clean up the mess at home, that's it, that's the turing moment for robotics * Why is it so hard to solve the physical Turing test? Data. LLM researchers have it easy -- they have internet scale


Sequoia Capital NVIDIA Chase Lochmiller Crusoe Sam Altman OpenAI Harrison Chase LangChain Dan Roberts Jim Fan Mike Krieger of Anthropic: * The origins of MCP: It started from watching us try to implement a Google Drive integration, then another integration. And we’d made two completely different interpretations. And the third one we were queueing up was going to be completely bespoke. What’s




at Sequoia Capital ai ascent last week i spoke about why ai agents, even from companies like @microsoft @apple @google, fail + how to solve it with a simple fix



From airplane wings to Dyson spheres, Paul Eremenko explains why physical engineering AI has lagged behind coding AI, and how @p_1_ai's approach to synthetic training data could change everything.
