1. “While the agents can operate within existing social structures, they currently lack robust innate drives—such as survival, curiosity, community—that catalyze genuine societal development. Furthermore, since the agents are built on foundation models trained on pre-existing human knowledge, they cannot simulate de novo emergence of societal innovations and infrastructures, such as the emergence of democratic systems, fiat economies, or communication systems”

    2. There wasn’t much in the post, but lots of comment discussion around AI Agents and what they can do

    1. Three biggest lessons:

      1. Reducing the agent's scope of action improves outcomes (significantly)

      2. The first prompt matters. A lot.

      3. Most apps were small + personal + temporary.

    1. Lots of others too, click through and sort through if you’d like, those two are the top two that I think look good

Community Message Board

Special Announcements

  • As a reminder, our official 100k Hackathon is coming up!

    • Chances to win prizes in the form of cash, investments, and credits

    • One week to build an MVP

    • Grab your closest 1-2 agent builder friends and register now!

Reply

Avatar

or to participate