Latest Interviews
Showing 1–5 of 5 transcripts.
Clear all filters- Y Combinator41 min
Demis Hassabis: Agents, AGI & The Next Big Scientific Breakthrough
DeepMind CEO Demis Hassabis projects Artificial General Intelligence will emerge around 2030, contingent on inventing specific architectural breakthroughs in continual learning and structured memory rather than merely scaling current methods. While deep tech startups are warned to anticipate AGI disrupting their decade-long cycles, the organization is simultaneously deploying efficient, modular "Flash" and open-source nano models to power edge devices and accelerate scientific discovery in fields like drug design and materials science. Ultimately, DeepMind advocates for interdisciplinary collaboration between AI and physical sciences to overcome current reasoning limitations and drive the next generation of autonomous agents.
- The Economist6 min
Google DeepMind’s boss on AI, power, God and what’s next | The Economist
An AI researcher outlines a vision where artificial general intelligence serves as a fundamental scientific instrument to solve existential challenges like disease and energy crises, rather than a tool for corporate dominance or "making God." Despite a fragmented geopolitical landscape that hinders the preferred international cooperation model, the speaker advocates for cautious optimism and the establishment of minimum safety standards agreed upon by leading labs. This approach aims to ensure the safe delivery of AGI within roughly five years, fulfilling a lifelong mission that prioritizes global benefit over personal accolades.
- All-In Podcast32 min
Inside Google DeepMind: AGI, Robotics, & World Models Explained - Demis Hassabis
Demis Hassabis, Sir Demis Hassabis, Tucker, Mark Cuban, Paul Kinlan
Google DeepMind CEO Demis Hassabis, recently honored with a Nobel Prize and knighthood for AlphaFold, outlined the organization's expansion into a 5,000-person engine room driving breakthroughs in AI, robotics, and scientific discovery. His recent presentation highlighted Genie 3's ability to generate interactive 3D worlds without manual physics coding, alongside strategic investments in a universal robotics operating system and drug discovery partnerships with pharmaceutical giants. Looking ahead, Hassabis predicts a robotics "wow moment" within two years and estimates that Artificial General Intelligence, currently hindered by a lack of intuitive creativity, remains 5 to 10 years away.
- The Economist14 min
AI bosses on what keeps them up at night
Demis Hassabis, Dario Amodei, Zanny Minton Beddoes
Anthropic CEO Dario Amodei and DeepMind CEO Demis Hassabis offer diverging timelines for Artificial General Intelligence, with Amodei predicting arrival by 2026–2027 and Hassabis estimating a 50% probability only by 2030. Both leaders warn of severe geopolitical risks from authoritarian dominance and catastrophic safety failures, advocating for an international "CERN for AGI" framework and new global institutions akin to the IAEA to manage the technology. While Amodei emphasizes the danger of a self-improving threshold moment and the potential for lab-tested autonomous agents to cause immediate harm, Hassabis highlights regulatory imbalances and the medium-term potential for AI to solve major scientific challenges like curing diseases.
- Lex Fridman2h 11m
Demis Hassabis: DeepMind - AI, Superintelligence & the Future of Humanity | Lex Fridman Podcast #299
Demis Hassabis outlines a comprehensive vision for Artificial Intelligence, detailing how DeepMind has progressed from game-playing benchmarks like AlphaGo to solving the protein folding problem with AlphaFold. He argues that future AI systems must evaluate general intelligence across diverse modalities and physical domains, including nuclear fusion control and material science, while explicitly decoupling intelligence from consciousness to address ethical risks. Ultimately, Hassabis envisions these technologies as foundational tools designed to accelerate the discovery of fundamental laws governing the universe and biology.