What AI needs to accelerate the way humans innovate
Briefly

What AI needs to accelerate the way humans innovate
"Individual learning has limits. No matter how much someone experiments through trial and error, improvement eventually hits a ceiling. Humans have been throwing javelins for a few hundred thousand years, yet performance has largely plateaued. At the 2024 Olympics in Paris, the gold medal javelin throw was about 5% shy of Jan Železný's 1996 record."
"Unlike individual performance, technology advances through combination and collaboration. As more people and ideas connect, the number of possible combinations grows superlinearly. Technological innovation scales with the number of collaborators."
Individual learning through trial and error has inherent limits, as demonstrated by plateauing performance in activities like javelin throwing and chess before AI intervention. While humans, animals, and AI can improve through reinforcement learning, this method eventually reaches a ceiling. However, technology evolves differently. Technological progress accelerates through collaboration and the combination of multiple ideas and people. As more collaborators connect, possible combinations grow superlinearly, enabling continuous advancement. This pattern distinguishes technological innovation from individual performance improvement and explains why technology has advanced dramatically over millions of years of human existence.
Read at Fast Company
Unable to calculate read time
[
|
]