Skip to main content
  1. Artificial General Intelligence/
  2. Papers/

Engineering utopia

Author
Tom Rochette
Table of Contents

Context
#

Learned in this study
#

Things to explore
#

  • At what rate should an AGI spend its time on self-improvement and on working on tasks? (this is basically the question of what is the appropriate ratio of time to dedicate as to not spend all your time self-improving, thus not using what you’re improving vs working on tasks while you could improve yourself to do them faster)

Overview
#

  • If human intelligence is available for a dollar, why would anyone hire a human?
  • If hyperhuman intelligence is available, why would you want a mere human to be in charge of anything important?
  • Economic theory and history indicate that central control is extremely suboptimal for resource allocation and credit assignment. Some of the most promising AI architecture use internal markets or market-derived algorithms to address these problems

See also
#

References
#