00:00 Intro. 03:05 Demis Hassabis: Founder of DeepMind. 14:30 DeepMind: Mission and early years. 19:18 Beating the Atari games. 27:22 Elon Musk: thoughts on DeepMind. 28:42 Elon Musk: AI could destroy humanity. 30:20 AlphaGo. 36:14 AlphaZero. 38:30 MuZero. 40:56 WaveNet. 43:18 AlphaStar. 45:33 AlphaFold. 48:39 Gato, A generalist agent. 50:02 Solving *everything else*
This premium episode is a documentary-style video about the history and importance of Alphabet subsidiary, DeepMind. Demis Hassabis, founder, was a chess prodigy by the time he was 13 years old. He went on to conclude he wanted to “solve intelligence” by building artificial intelligence agents and using digital tools. The team at DeepMind has created systems that defeated the world’s best chess and Go professionals. They’ve also cracked the code on the infamous ‘protein-folding problem.’ Demis Hassabis and DeepMind are fascinating. Moreover, they’re still just getting started.
Neura Pod is a series covering topics related to Neuralink, Inc. Topics such as brain-machine interfaces, brain injuries, and artificial intelligence will be explored. Host Ryan Tanaka synthesizes informationopinions, and conducts interviews to easily learn about Neuralink and its future.
Please consider supporting by joining the channel above, or sharing my other company website with retirees: https://www.reterns.com/. Opinions are our own. Neura Pod receives no compensation from DeepMind or Neuralink and has no affiliation to either company.
The word singularity has grabbed a lot of attention in the world of artificial intelligence. It refers to the moment AI exceeds out of human control and changes society.
🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Benji Rabhan, Bryan Learn, B Shang, Christian Ahlin, Edward Unthank, Eric Martel, Geronimo Moralez, Gordon Child, Jace O’Brien, Jack Lukic, John Le, Jonas, Jonathan, Kenneth Davis, Klaus Busse, Kyle Davis, Lorin Atzberger, Lukas Biewald, Matthew Allen Fisher, Matthew Valle, Michael Albrecht, Michael Tedder, Nevin Spoljaric, Nikhil Velpanur, Owen Campbell-Moore, Owen Skarpness, Rajarshi Nigam, Ramsey Elbasheer, Richard Sundvall, Steef, Taras Bobrovytsky, Ted Johnson, Thomas Krcmar, Timothy Sum Hon Mun, Torsten Reil, Tybie Fitzhugh, Ueli Gallizzi. If you wish to appear here or pick up other perks, click here: https://www.patreon.com/TwoMinutePapers.
ChatGPT, the artificial intelligence tool that has been used in everything from high school essays to a speech on the floor of Congress, has added another accomplishment to its résumé: passing exams from law and business schools.
The AI tool was presented with several tests from both the University of Minnesota’s law school and the University of Pennsylvania’s Wharton School of Business, passing them all.
That said, the AI didn’t necessarily ace the exams with flying colors. The chatbot answered 95 multiple choice questions and 12 essay prompts across 4 of UM’s law school tests, averaging about a C+ performance overall. The tech did better in Wharton’s business management course exam, scoring between a B to B-.
As neural networks become more powerful, algorithms have become capable of turning ordinary text into images, animations and even short videos. These algorithms have generated significant controversy. An AI-generated image recently won first prize in an annual art competition while the Getty Images stock photo library is currently taking legal action against the developers of an AI art algorithm that it believes was unlawfully trained using Getty’s images.
So the music equivalent of these systems shouldn’t come as much surprise. And yet the implications are extraordinary.
A group of researchers at Google have unveiled an AI system capable of turning ordinary text descriptions into rich, varied and relevant music. The company has showcased these capabilities using descriptions of famous artworks to generate music.