Forget if Artificial General Intelligence (AGI) will happen. Let’s ask the harder question:
How do we build research that stays relevant after AGI arrives?

Rather than debate timelines or hype, P-AGI calls on scientists, engineers, and thinkers to future-proof their work for a world where general-purpose AI systems are everywhere.

• How scientific discovery changes when machines generate knowledge
• How to ensure trust and oversight in autonomous systems
• How to scale AI without scaling energy costs
• How humans stay essential in an increasingly automated world

P-AGI is more than a workshop—it’s a forum to start this critical conversation. We’re bringing together some of the most forward-thinking voices in AI to explore the research agendas that will matter if and when powerful general-purpose systems become pervasive. Together with your contributions, we’ll tackle questions like:

• 🧠 What are the limits of reasoning-capable systems?
  With Noam Brown (OpenAI, co-creator of o1)
• 🔬 How will scientific discovery evolve?
  With Jeff Clune and Francesco Locatello, on machine-driven research, open-ended learning, and causality
• 🤖 How will intelligent systems operate in the real world?
  With Daniela Rus, on autonomous, reconfigurable, and energy-efficient robotics
• 🧑‍🤝‍🧑 What role will humans play?
  With Been Kim, on human-centered, interpretable AI collaboration

Come find out from our speakers what tomorrow’s research looks like—check out our schedule and our call for papers!