In this video, Marcus Hutter discusses Universal Artificial Intelligence, AIXI, and AGI. He explains that AIXI is a more general concept that encompasses predictions beyond just sequence data, and that AGI is a more specific type of AIXI that is focused on making predictions about future actions. He points out that while AIXI is not computable, it is possible to implement it with reinforcement learning in a Google spreadsheet.
In this video, Marcus Hutter discusses the concept of artificial general intelligence (AGI), and how it may be possible to build such a system. He notes that the AGI community is small for now, but DeepMind's work in this area is noteworthy. He also points out that there is a lot of pressure off of doing applied research or translational research, which may be one reason why AGI development has been slow. He concludes by saying that there is a small but interested group of people working on formalizing intelligence, and that it will take a lot of engineering work to build a GI system.