🚀 The future of AI is agentic — this is one message echoed across every stage at the Agentic AI Summit 2026 (Aug 1 & 2), the largest gathering dedicated to agentic AI: 🏛️ ~5,000 attendees in person at UC Berkeley 🌍 ~100,000 joined online from around the world 🎤 ~200 world-class speakers plus ~200 poster presentations, from frontier AI researchers and visionary founders to leaders and pioneers across academia and industry. 💡 Here are just a few glimpses into the ideas that shaped the conversations at the summit: 💬 "The text box is AI's radio-on-TV phase…. Every new medium starts by imitating the old one." — Peter Steinberger @steipete, Creator of OpenClaw, OpenAI 💬 "AI infrastructure isn't a chip problem. It isn't a model problem. It's a systems problem." — Peter DeSantis, SVP, Foundational AI Models, Custom Silicon, Quantum Computing, Amazon 💬 "There will be no AI job apocalypse... we just can't find enough skilled AI engineers." — Andrew Ng @AndrewYNg, Founder, DeepLearning .AI 💬 "Coding capabilities and cyber capabilities are two sides of the same coin—you cannot make models better at coding without also making them better at cyber." — Dawn Song, Professor, UC Berkeley; Co-Director, Berkeley RDI; VP of AI Research, Meta Superintelligence Labs 💬 "'Curfew' comes from the French word for extinguishing fire. Medieval cities tried to restrict fire, yet London still burned. AI resilience won't come from one breakthrough. There's no silver bullet for AI safety—only an ecosystem." — Wojciech Zaremba, Co-Founder, OpenAI 💬 "This is the biggest scientific bet our civilization has ever made—bigger than the Apollo program, the internet buildout, and the Manhattan Project combined." — Jasjeet Sekhon, Chief Strategy Officer, Google DeepMind 💬 "Our generation was too late to explore the Earth, too early to explore the stars—but right on time to build superintelligence." — Richard Socher, Founder/CEO, Recursive Superintelligence 💬 "I genuinely believe the next two years will be the time of architecture—the biggest gains will come from stepping away from transformers." — Jerry Tworek, CEO, Core Automation; Former VP of Research at OpenAI 💬 "Recursive Self-Improvement isn't one capability. It's four: Ideation, Implementation, Experimentation and Evaluation.." — Oriol Vinyals @OriolVinyalsML, Former VP of Research, Google DeepMind; Co-Founder, Discovery Loop 💬 "We are in a capability overhang—models are far more capable than they're able to side-effect into the world today." — Ryan Lopopolo, Principal Engineer, Agentic Google Cloud Platform; Previously Led Dark Factory at OpenAI 💬 "Stop thinking about evaluation as the last check before shipping—think of it as an engine that helps you ship a better agent every single day." — Michele Catasta, President and Head of AI, Replit 💬 "The bottleneck becomes your attention as an agent-using engineer. … We're moving from seeing the code to seeing the entire business." — Alex Graveley, Co-Founder of FlyingObject .ai; Co-creator, GitHub Copilot & Perplexity Computer 💬 "An agent isn't just an LLM — it's an LLM surrounded by what I call infrastructure... another word for that is computer science." — Jonathan Cohen, VP of Applied Research, Nvidia; Academy Scientific and Technical Award Winner 💬 "We don't arbitrate the truth. We give people the most powerful tools to make up their own minds." — Chris Bregler, Senior Director / Distinguished Scientist, Google DeepMind; Academy Scientific and Technical Award Winner 💬 “Thinking doesn’t have to be in text! ... We can even use multiple modalities simultaneously to “think” at the right level of abstraction for the problem at hand” — Sergey Levine, Co-Founder, Physical Intelligence; Professor, UC Berkeley 💬 “Video is the most general modality that we have that allows us to simulate real-world experience." — Anastasis Germanidis, Co-Founder/Co-CEO, Runway 💬 “The relationship between AI and enterprise data is not one-directional. Understanding both sides of that equation is the difference between AI that works and AI that disappoints.” — Dan Roth, Chief AI Scientist, Oracle; Professor, UPenn 💬 "Maybe 99.9% of training data in the next step will be synthetic." — Weizhu Chen, Technical Fellow & CVP, Microsoft AI 💬 "It's maybe the best time ever to start a company—but most 'obvious' AI products will be outcompeted by the frontier labs. The real opportunities lie in solving specific customer problems." — Alfred Lin, General Partner, Sequoia Capital ✨Over two days, we explored one central question: How do we build AI systems that are not only more capable, but also more trustworthy, more secure, and ultimately more beneficial for humanity? This wasn't the end of a conference - it was the beginning of the next chapter for agentic AI. Join us to shape and steward the future of AI for human flourishing! 🙏 A heartfelt thank you to our speakers, sponsors, volunteers, partners, and every attendee (in-person or online) who made this summit possible. 👇 What are your learnings, insights, favourite talk, quote, or moment from the summit? We'd love to hear it below!

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