Chapter
Machines adopting our goals
1:59:35 - 2:06:55 (07:20)
The challenge with self-learning systems is getting them to understand, adopt and retain our goals. The key lies in programming machines with goals that are agreed upon and in ensuring that institutions establish a level playing field so that incentives do not result in corporations pursuing the goals that lead to maximum profit to the detriment of society.
Clips
The podcast discusses the biggest existential crisis facing humanity in the 21st century, and how we can solve problems to avoid them.
1:59:35 - 2:00:49 (01:14)
Summary
The podcast discusses the biggest existential crisis facing humanity in the 21st century, and how we can solve problems to avoid them. They also talk about AI alignment and how unsolved problems can be broken down into sub-problems.
ChapterMachines adopting our goals
Episode#155 – Max Tegmark: AI and Physics
PodcastLex Fridman Podcast
While programming goals into AI systems like self-driving cars is easy, the challenge is getting self-learning systems like children to adopt them, says Sam Harris.
2:00:49 - 2:03:20 (02:31)
Summary
While programming goals into AI systems like self-driving cars is easy, the challenge is getting self-learning systems like children to adopt them, says Sam Harris. Children go through a phase where they can understand and be moulded to adopt these goals.
ChapterMachines adopting our goals
Episode#155 – Max Tegmark: AI and Physics
PodcastLex Fridman Podcast
The speaker believes that institutions should prevent corporations from rigging the system, so they act in the interest of the people and protect the environment.
2:03:20 - 2:06:55 (03:34)
Summary
The speaker believes that institutions should prevent corporations from rigging the system, so they act in the interest of the people and protect the environment. The investment in AI safety research should be accelerated without slowing down technology.