UC Berkeley RDI

🎟️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!

🎟️ rdi.berkeley.edu/events/agentic…

#AgenticAISummit

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. 👇

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. 👇

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. 👇

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. 👇