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Demis Hassabis On What AI Will Do Next

Two Minute Papers15 June 2026Watch on YouTube

Description

Thank you to Google DeepMind for the invite. 🙏 ❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambda.ai/papers Our Patreon if you wish to support us: https://www.patreon.com/TwoMinutePapers 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Adam Bridges, Benji Rabhan, B Shang, Cameron Navor, Charles Ian Norman Venn, Christian Ahlin, Eric T, Fred R, Gordon Child, Juan Benet, Michael Tedder, Owen Skarpness, Richard Sundvall, Ryan Stankye, Shawn Becker, Steef, Taras Bobrovytsky, Tazaur Sagenclaw, Tybie Fitzhugh, Ueli Gallizzi My research: https://cg.tuwien.ac.at/~zsolnai/ Thumbnail design: https://felicia.hu 00:00 Intro 00:40 Gemini Health Scans and Gemma 4 01:30 AI as a Brainstorming Partner 02:30 Second Order Nobel 03:15 DeepMind Co-Scientist 05:00 Curing All Diseases 06:30 Exponential Growth in Drug Discovery 07:45 Regulatory Bottlenecks 09:45 Accelerating Clinical Trials 11:15 EVE Online Partnership 13:15 The Einstein Test 15:30 Recursive Self-Improvement 18:15 Lightning Round 19:30 The Badge of Honor 20:10 Behind the Scenes

What you'll learn

  • AI serves as a research partner helping scientists brainstorm and tackle complex problems, rather than replacing human intelligence
  • Drug discovery is accelerating exponentially with AI, but regulation and clinical trials remain the biggest bottlenecks today
  • DeepMind is developing self-improving AI systems that can learn and evolve recursively, potentially enabling breakthroughs across many domains
  • AI applications in medical diagnostics and disease understanding show concrete potential for faster medical advances
  • According to Hassabis, AI as a research tool can help solve fundamental scientific questions, comparable to the 'Einstein Test'

Frequently asked questions

What does Demis Hassabis mean by AI as a research partner?
AI functions as a brainstorming tool helping scientists explore ideas and tackle problems, similar to a co-scientist suggesting new directions and analyzing complex datasets.
What factors currently slow down practical AI application in drug development?
While AI significantly accelerates drug discovery, regulation and clinical trials are the biggest bottlenecks. These processes cannot scale fast enough with current systems.
What is recursive self-improvement in AI systems?
This is an approach where AI systems can improve themselves and learn from their own results, potentially leading to exponential growth in capabilities and new scientific breakthroughs.
How does DeepMind collaborate with platforms like EVE Online?
DeepMind uses environments like EVE Online as a testbed for AI systems, enabling them to train on complex decision-making and study emergent behavior in realistic scenarios.

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