Demis Hassabis

Quotes are word for word from the source.

• Two step mission

  “Step one, solve intelligence; step two, use it to solve everything else.”

  Our noteDemis Hassabis explains the core mission of DeepMind.

• Proof of possibility

  “The brain is an existence proof that general intelligence is possible at all. I think the history of human endeavors has been such that once you know something's possible it's easier to push hard in that direction”

  Our noteDemis discusses how neuroscience provides the confidence that AGI is achievable.

• Algorithmic intelligence

  “I think that suggests there must be high-level common algorithmic themes around how the brain processes the world around us.”

  Our noteDemis shares his view on whether intelligence is a general circuit or subskills.

• Path to AGI

  “I think by far the quickest way to get to AGI, and the most plausible way, is to use all the knowledge that's existing in the world right now that we've collected from things like the Web.”

  Our noteDemis argues for using existing human knowledge to bootstrap AI learning rather than starting from scratch.

• Safe AI testing

  “I think that there's a lot of promise in creating hardened sandboxes or simulations that are hardened with cybersecurity arrangements around the simulation, both to keep the AI in and to keep hackers out.”

  Our noteDemis explains how to safely experiment with powerful AI systems.

• Generalization vs memorization

  “At the limit, one maybe could try and memorize everything but it wouldn't generalize out of your distribution.”

  Our noteDemis addresses the claim that AI models are just memorizing data.

• Nature of memory

  “memory, at least human memory, is a reconstructive process . It's not a videotape.”

  Our noteDemis explains his neuroscience thesis on how memory and imagination are linked.

• Open world simulations

  “And I think the next stage is I always used to love making, all the games I've made are open world games, so they're games where there's a simulation and then there's AI characters, and then the player interacts with that simulation”

  Our noteDemis explains his preference for creating games that adapt to player behavior.

• AI driven storytelling

  “Now we are maybe on the cusp in the next few years, five, 10 years of having AI systems that can truly create around your imagination, can dynamically change the story and storytell the narrative around and make it dramatic”

  Our noteDemis predicts the future of video games where AI generates content based on player imagination.

• Learning through games

  “I think it's a great way to learn programming, probably still is. And then of course, I immediately took it in directions of AI and simulations, so I was able to express my interest in games and my wider scientific interests all together.”

  Our noteDemis explains how programming games served as a foundation for his career in AI.