Shane Legg
In plain wordsA New Zealand-born AI researcher who co-founded DeepMind and helped make 'artificial general intelligence' a mainstream term and goal.
New Zealand-born computer scientist, co-founder and chief AGI scientist of Google DeepMindGoogle DeepMind, prop. n.: Google's main artificial intelligence laboratory, formed in 2023 by joining DeepMind and Google Brain. It builds the Gemini models and scientific AI systems such as AlphaFold.. His doctoral thesis 'Machine Super Intelligence' (2008), supervised by Marcus Hutter at the Swiss AI lab IDSIA, built on AIXIAIXI, prop. n.: A mathematical description of a perfect learning agent that weighs every possible explanation of its experience and acts to get the most future reward. It cannot actually be built, but it defines an ideal. and, with Hutter, proposed a formal measure of universal intelligenceuniversal intelligence, n.: A mathematical definition of intelligence as an agent's average ability to achieve goals across every possible environment, with simpler environments counting more.: an agent's expected performance across all computable environments, weighted toward simpler ones. In 2002 he suggested the phrase artificial general intelligenceartificial general intelligence, n.: AI that could learn and do almost any mental task a capable adult can, rather than excelling at one narrow job. Experts disagree on the exact bar and on when, or whether, it will arrive. to Ben Goertzel as a book title, helping establish the term. After postdoctoral work at the Gatsby Computational Neuroscience Unit in London, he co-founded DeepMindDeepMind, prop. n.: A London artificial intelligence company, bought by Google in 2014, famous for programs that mastered the game of Go and predicted the shapes of proteins. In 2023 it merged into Google DeepMind. in 2010 with Demis HassabisDemis Hassabis, prop. n.: A British AI researcher and former chess prodigy who co-founded DeepMind, led the teams behind AlphaGo and AlphaFold, and shared the 2024 Nobel Prize in Chemistry. and Mustafa SuleymanMustafa Suleyman, prop. n.: A British entrepreneur who co-founded DeepMind and Inflection AI, leads Microsoft's effort to build its own advanced AI models, and has written about the difficulty of containing powerful AI., and he has led its work on AGI safety. Since the late 2000s he has publicly estimated a 50 percent chance of human-level AGI by about 2028, and he co-authored Google DeepMind's levels of AGIlevels of AGI, n.: A scheme from Google DeepMind researchers for grading AI by how well it performs and how broad its skills are, from emerging to superhuman, much as self-driving cars are graded by levels. framework (2023).
Related
- artificial general intelligenceartificial general intelligence, n.: AI that could learn and do almost any mental task a capable adult can, rather than excelling at one narrow job. Experts disagree on the exact bar and on when, or whether, it will arrive.
- universal intelligenceuniversal intelligence, n.: A mathematical definition of intelligence as an agent's average ability to achieve goals across every possible environment, with simpler environments counting more.
- AIXIAIXI, prop. n.: A mathematical description of a perfect learning agent that weighs every possible explanation of its experience and acts to get the most future reward. It cannot actually be built, but it defines an ideal.
- Google DeepMindGoogle DeepMind, prop. n.: Google's main artificial intelligence laboratory, formed in 2023 by joining DeepMind and Google Brain. It builds the Gemini models and scientific AI systems such as AlphaFold.
- levels of AGIlevels of AGI, n.: A scheme from Google DeepMind researchers for grading AI by how well it performs and how broad its skills are, from emerging to superhuman, much as self-driving cars are graded by levels.
- AI timelinesAI timelines, n.: Forecasts of when AI will reach major milestones, such as matching humans at most work. People with short timelines expect this within years; others expect decades, or never.
Sources
- Legg, S. & Hutter, M. (2007). Universal Intelligence: A Definition of Machine Intelligence. Minds and Machines 17(4): 391–444.
- Legg, S. (2008). Machine Super Intelligence. PhD thesis, University of Lugano.
Mentioned in
Demis HassabisDemis Hassabis, prop. n.: A British AI researcher and former chess prodigy who co-founded DeepMind, led the teams behind AlphaGo and AlphaFold, and shared the 2024 Nobel Prize in Chemistry., DeepMindDeepMind, prop. n.: A London artificial intelligence company, bought by Google in 2014, famous for programs that mastered the game of Go and predicted the shapes of proteins. In 2023 it merged into Google DeepMind., Mustafa SuleymanMustafa Suleyman, prop. n.: A British entrepreneur who co-founded DeepMind and Inflection AI, leads Microsoft's effort to build its own advanced AI models, and has written about the difficulty of containing powerful AI., AIXIAIXI, prop. n.: A mathematical description of a perfect learning agent that weighs every possible explanation of its experience and acts to get the most future reward. It cannot actually be built, but it defines an ideal., Ben GoertzelBen Goertzel, prop. n.: An American AI researcher who made 'artificial general intelligence' a widely used name and built a research community around the goal of human-like, broadly capable AI., Marcus HutterMarcus Hutter, prop. n.: A German computer scientist who defined AIXI, a mathematical ideal of a perfectly intelligent agent, and who argues that compressing data well is a measure of intelligence., universal intelligenceuniversal intelligence, n.: A mathematical definition of intelligence as an agent's average ability to achieve goals across every possible environment, with simpler environments counting more.