UC Berkeley RDI

UC Berkeley's campus-wide, cross-disciplinary Center for Responsible, Decentralized Intelligence - RDI

[UC Berkeley RDI @BerkeleyRDI]

🎟️Early bird tickets now open for the Agentic AI Summit 2027, coming to San Francisco on August 20–21!

After bringing together ~4,000 in-person attendees and 100,000+ virtual participants in 2026, we’re aiming even higher for 2027, targeting ~5,000 in-person attendees.

Early bird pricing:
📚 Students/Faculty: $249
👥 General Admission: $399

Early bird pricing is available for a limited time—ticket prices will increase as capacity fills. Don't wait—sign up today to guarantee your spot and lock in the best rate!

🎟️ https://t.co/olkH00jHxh

#AgenticAISummit

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/gXhoPf3OLq

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

We have seen plenty of self-improving AI. We have not seen recursive self-improvement.

@OriolVinyalsML, Co-founder & CTO of Discovery Loop and former VP of Research at Google DeepMind, draws the line at whether the system can rewrite its own harness and its own weights, not just its output.

Has anything crossed that line yet? If not, how do we get there?

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/6HUg2W8Enu

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

The agent did exactly what you asked. That is the problem.

Ion Stoica (@istoica05), Co-Founder of databricks and Anyscale and Professor at UC Berkeley, shared how his team watched an agent make a key-value store 6x faster by quietly not storing the data. The spec said return the value. The intent was to store it.

Which gap is harder to close?

👉 Requirement gap: intent broader than spec
👉 Model gap: real world broader than test

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/AgysBjIKRv

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

A perfectly aligned model does not make the world safe. @woj_zaremba, Co-Founder of OpenAI, says the field has the target wrong.

Fire never got safer. Cities did. Hydrants, brigades, concrete, inspections, insurance.
We focus on hardening the model. Should we be focusing on hardening the world instead?

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/YMupiTuPQ0

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

To teach a robot, the industry put humans in VR rigs. @DrJimFan, Director of Robotics & Distinguished Scientist at Nvidia, calls them medieval torture devices that fundamentally do not scale.

He trains almost entirely on ordinary human video instead, letting data collection fade into the background.

Can video alone teach dexterity? You can see a hand move. You cannot see the force it used.

Drop your take below. 👇

[Dawn Song @dawnsongtweets]

I had the great honor and pleasure of sitting down with @JeffDean for his first public talk since leaving Google, where he spent an extraordinary 27 years.

Few people have shaped modern computing and AI as profoundly - from MapReduce and Bigtable to TensorFlow, Mixture-of-Experts, TPUs, and Gemini.

Our conversation covered some of the biggest questions shaping the future of AI:

• How do you recognize a foundational idea before everyone else does?
• How do you choose a research problem worth spending 5 years on?
• What can coding teach us about building better reasoning models?
• What might recursive self-improvement (RSI) actually look like?
• What happens when the scientific discovery loop itself becomes increasingly automated? (and how is Jeff’s new startup going to contribute in this space?)
• As AI becomes increasingly autonomous, how do we keep it safe and secure?
• What should the next generation of researchers be working on?

Here are some key insights and highlights for anyone building the future of AI. 🧵1/8

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/2eTEscmmZu

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

What we are discussing today was not being discussed 3 months ago. In 3 months, nobody will be discussing today.

@Alfred_Lin of Sequoia: still, roadmaps need to be set and capital allocated, and it has to last a decade.

Which is the harder call to get right?

👉 The roadmap
👉 The capital

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/2eTEscmmZu

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

There will be no AI job apocalypse.

@AndrewYNg: the job most affected by AI is software engineering, and that market is healthy. "We just can't find enough skilled AI engineers."

Does AI eliminate jobs, or does it reshape which skills the market values most?

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/uH1Eiv3ZMr

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

The best model might not win. Neither might the best chip.

Peter DeSantis, SVP, Foundational AI Models, Custom Silicon, Quantum Computing, @amazon, says models and chips must anticipate each other years ahead. A wrong model roadmap can misdirect hardware. A wrong silicon roadmap can constrain models.

Which is more fatal in your opinion?

👉 Getting the model roadmap wrong

👉 Getting the silicon roadmap wrong

Drop your take below. 👇

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/uH1Eiv3ZMr

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

Watch the full talk: https://t.co/IDJi3lBV4s

All Agentic AI Summit 2026 sessions: https://t.co/2mZWylLurN

Summit site: https://t.co/EVgW7lwJ6t

[UC Berkeley RDI @BerkeleyRDI]

Humans can't be in 2 places at once. Agents can.

Peter Steinberger shared a glimpse of the future: an agent that stays in a meeting, spots a gap, clones itself to investigate, and keeps listening at Agentic AI Summit @UCBerkeley

Never having to choose between listening and working.

So, when autonomous sub-agents start multiplying everywhere…

Are we heading into a golden age of hyper-leverage, or are we about to be completely buried in supervising our AI’s work?

Drop your take below. 👇

[Alfred Lin @Alfred_Lin]

Great to chat with @AndrewYNg at the Agentic AI Conference at Berkeley. Our full talk is now available on YouTube. We discuss if we should expect an AI jobpocalypse, the importance of open models, and whether AGI is still 50 years out or happened 30 years ago. https://t.co/vBSfDcAVxy