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Artificial General Intelligence
- Author
- Julian Togelius
- Narrator
- Steve Marvel
- Publisher
- Ascent Audio
- Publish Date
- 13 August 2024
- Run Time
- 4 hours 24 minutes
- Format
- Audiobook
What to expect
Togelius starts by giving examples of narrow AI that have superhuman performance in some way. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
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Details
- Author
- Julian Togelius
- Narrator
- Steve Marvel
- Duration
- 4 hours 24 minutes
- Release Date
- 13 August 2024
- ISBN
- 9781663736260
- Format
- Audiobook
- Publisher
- Ascent Audio
- Genre
- Artificial intelligence
Synopsis
Artificial intelligence surrounds us. More and more of the systems and services you interact with every day are based on AI technology. Most AI is narrowly specific; that is, it can only do a single thing, in a single context. For example, your spellchecker can't do mathematics, and the world's best chess-playing program can’t play Tetris. Human intelligence is different. We can solve a variety of tasks, including those we have not seen before. In Artificial General Intelligence, Julian Togelius explores technical approaches to developing more general artificial intelligence and asks what general AI would mean for human civilization.Togelius starts by giving examples of narrow AI that have superhuman performance in some way. He then discusses what it would mean to have general intelligence, by looking at definitions from psychology, ethology, and computer science. Next, he explores the two main families of technical approaches to developing more general artificial intelligence: foundation models through self-supervised learning, and open-ended learning in virtual environments. The final chapters of the book investigate potential artificial general intelligence beyond the strictly technical aspects. The questions discussed here investigate whether such general AI would be conscious, whether it would pose a risk to humanity, and how it might alter society.
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