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Summary
Sir Demis Hassabis (born 27 July 1976) is a British artificial intelligence (AI) researcher, and entrepreneur. He is the chief executive officer and co-founder of Google DeepMind, and Isomorphic Labs, and a UK Government AI Adviser. In 2024, Hassabis and John M. Jumper were jointly awarded the Nobel Prize in Chemistry for their AI research contributions for protein structure prediction.
Hassabis is a Fellow of the Royal Society, and has won many prestigious awards for his research work including the Breakthrough Prize, the Canada Gairdner International Award, and the Lasker Award. In 2017 he was appointed a CBE and listed in the Time 100 most influential people list. In 2024 he was knighted for services to AI.
Source: Wikipedia
Unreasonably Effective AI with Demis Hassabis
Google DeepMind (52:00)It has been a few years since Google DeepMind CEO and co-founder, Demis Hassabis, and Professor Hannah Fry caught up. In that time, the world has caught on to artificial intelligence—in a big way. Listen as they discuss the recent explosion of interest in AI, what Demis means when he describes chatbots as ‘unreasonably effective’, and the unexpected emergence of capabilities like conceptual understanding and abstraction in recent generative models.
Demis and Hannah also explore the need for rigorous AI safety measures, the importance of responsible AI development, and what he hopes for as we move closer towards artificial general intelligence.
Timecodes
00:00 Introduction
03:22 Explosion of AI
04:28 Unreasonably effective AI
08:40 Overhyped or under hyped AI
10:58 Gemini and Project Astra
15:40 Benchmarks
18:50 Engine room of Google
26:00 Shifting expectations of this technology
28:16 Open source
33:00 Regulation
38:00 The royal princes of the past
43:10 Avengers assemble
45:34 Peer into the mysteries of the universe
49:58 Conclusion
OnAir Post: Demis Hassabis
News
Google DeepMind CEO says that humans have just over 5 years before AI will outsmart them
Fortune, – March 18, 2025Google DeepMind CEO Demis Hassabis said that artificial general intelligence (AGI) will compete with human competence in the next five to 10 years, and that it will “exhibit all the complicated capabilities” people have. This could escalate worries over job implications around AI—which is already in motion at companies like Klarna and Workday.
What your coworker looks like is expected to change in the very near future. Instead of humans huddled in office cubicles, people will be working alongside digital colleagues. That’s because Google DeepMind CEO Demis Hassabis said AI will catch up to human capabilities in just a few years—not decades.
“Today’s [AI] systems, they’re very passive, but there’s still a lot of things they can’t do,” Hassabis said during a briefing at Deepmind’s London headquarters on Monday. “But over the next five to 10 years, a lot of those capabilities will start coming to the fore and we’ll start moving towards what we call artificial general intelligence.”
About
Deep Mind Career & Research
Hassabis is the CEO and co-founder of DeepMind, a machine learning AI startup, founded in London in 2010 with Shane Legg and Mustafa Suleyman. Hassabis met Legg when both were postdocs at the Gatsby Computational Neuroscience Unit, and he and Suleyman had been friends through family. Hassabis also recruited his university friend and Elixir partner David Silver.DeepMind’s mission is to “solve intelligence” and then use intelligence “to solve everything else”. More concretely, DeepMind aims to combine insights from systems neuroscience with new developments in machine learning and computing hardware to unlock increasingly powerful general-purpose learning algorithms that will work towards the creation of an artificial general intelligence (AGI). The company has focused on training learning algorithms to master games, and in December 2013 it announced that it had made a pioneering breakthrough by training an algorithm called a Deep Q-Network (DQN) to play Atari games at a superhuman level by only using the raw pixels on the screen as inputs.
DeepMind’s early investors included several high-profile tech entrepreneurs. In 2014, Google purchased DeepMind for £400 million. Although most of the company has remained an independent entity based in London, DeepMind Health has since been directly incorporated into Google Health.
Since the Google acquisition, the company has notched up a number of significant achievements, perhaps the most notable being the creation of AlphaGo, a program that defeated world champion Lee Sedol at the complex game of Go. Go had been considered a holy grail of AI, for its high number of possible board positions and resistance to existing programming techniques. However, AlphaGo beat European champion Fan Hui 5–0 in October 2015 before winning 4–1 against former world champion Lee Sedol in March 2016. Additional DeepMind accomplishments include creating a neural Turing machine, reducing the energy used by the cooling systems in Google’s data centers by 40%, advancing research on AI safety, and the creation of a partnership with the National Health Service (NHS) of the United Kingdom and Moorfields Eye Hospital to improve medical service and identify the onset of degenerative eye conditions.
DeepMind has also been responsible for technical advances in machine learning, having produced a number of award-winning papers. In particular, the company has made significant advances in deep learning and reinforcement learning, and pioneered the field of deep reinforcement learning which combines these two methods. Hassabis has predicted that artificial intelligence will be “one of the most beneficial technologies of mankind ever” but that significant ethical issues remain.
Hassabis has also warned of the potential dangers and risks of AI if misused, and has been a strong advocate of further AI safety research being needed. In 2023, he signed the statement that “Mitigating the risk of extinction from AI should be a global priority alongside other societal-scale risks such as pandemics and nuclear war”. He considers however that a pause on AI progress would be very hard to enforce worldwide, and that the potential benefits (e.g. for health and against climate change) make it worth continuing. He said that there is an urgent need for research on evaluation tests that measure how capable and controllable new AI models are.
Source: Wikipedia
Web Links
Videos
Unreasonably Effective AI with Demis Hassabis
August 14, 2024 (52:00)
By: Google DeepMindIt has been a few years since Google DeepMind CEO and co-founder, Demis Hassabis, and Professor Hannah Fry caught up. In that time, the world has caught on to artificial intelligence—in a big way. Listen as they discuss the recent explosion of interest in AI, what Demis means when he describes chatbots as ‘unreasonably effective’, and the unexpected emergence of capabilities like conceptual understanding and abstraction in recent generative models.
Demis and Hannah also explore the need for rigorous AI safety measures, the importance of responsible AI development, and what he hopes for as we move closer towards artificial general intelligence.
Timecodes
00:00 Introduction
03:22 Explosion of AI
04:28 Unreasonably effective AI
08:40 Overhyped or under hyped AI
10:58 Gemini and Project Astra
15:40 Benchmarks
18:50 Engine room of Google
26:00 Shifting expectations of this technology
28:16 Open source
33:00 Regulation
38:00 The royal princes of the past
43:10 Avengers assemble
45:34 Peer into the mysteries of the universe
49:58 Conclusion
The Path To AGI, Deceptive AIs, Building a Virtual Cell
January 23, 2025 (55:00)
By: Alex KantrowitzDemis Hassabis is the CEO of Google DeepMind. He joins Big Technology Podcast to discuss the cutting edge of AI and where the research is heading. In this conversation, we cover the path to artificial general intelligence, how long it will take to get there, how to build world models, whether AIs can be creative, and how AIs are trying to deceive researchers.
Stay tuned for the second half where we discuss Google’s plan for smart glasses and Hassabis’s vision for a virtual cell. Hit play for a fascinating discussion with an AI pioneer that will both break news and leave you deeply informed about the state of AI and its promising future.
Chapters:
00:00 The Journey Towards AGI
02:46 Current AI Capabilities and Limitations
05:53 Mathematics and Reasoning in AI
08:55 Building World Models for AI
12:08 The Role of Active Learning in AI
14:45 Creativity and Invention in AI
17:52 Understanding Human Ingenuity through AI
20:55 Deception in AI Systems
29:03 The Dual Nature of AI: Opportunities and Risks
30:12 The Future of the Web: Agent-Based Interactions
32:35 AI Assistants: Transforming Personal and Work Life
35:42 Project Astra: The Next Generation of AI Assistants
39:21 Decoding Biology: The Virtual Cell Project
43:25 Genomics and AI: Understanding Genetic Mutations
45:57 The Future of Aging: Extending Healthy Lifespan
48:25 Material Science: Discovering New Materials for the Future
53:21 Visions of Superintelligence: A Philosophical Perspective
AI, Superintelligence & the Future of Humanity
July 1, 2022 (02:10:00)
By: Lex FridmanDemis Hassabis is the CEO and co-founder of DeepMind.
OUTLINE:
0:00 – Introduction
1:01 – Turing Test
8:27 – Video games
30:02 – Simulation
32:13 – Consciousness
37:13 – AlphaFold
50:53 – Solving intelligence
1:03:12 – Open sourcing AlphaFold & MuJoCo
1:13:18 – Nuclear fusion
1:17:22 – Quantum simulation
1:20:30 – Physics 1:23:57 – Origin of life
1:28:36 – Aliens 1:36:43 – Intelligent life
1:39:52 – Conscious AI
1:53:07 – Power
1:57:37 – Advice for young people
2:05:43 – Meaning of life
EPISODE LINKS:
Demis’s Twitter:
/ demishassabis ]DeepMind’s Twitter: / deepmind DeepMind’s Instagram:
/ deepmind DeepMind’s Website: https://deepmind.com
Plasma control paper: https://nature.com/articles/s41586-02…
Quantum simulation paper: https://science.org/doi/10.1126/scien…
The Emperor’s New Mind (book): https://amzn.to/3bx03lo
Life Ascending (book): https://amzn.to/3AhUP7z
Politics
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New Legislation
Politics
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New Legislation
More Information
Wikipedia
[rdp-wiki-embed url=’https://en.wikipedia.org/wiki/Demis_Hassabis’%5D
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