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2024-12-23

Here is a summary of the key ideas and sentiments from day 4 of the tokenomics discussion:

  1. ai16z should have one official launchpad for Eliza agents
  • Enables ai16z to control the launchpad, branding, and value accrual mechanisms
  • Fragmenting liquidity and efforts across multiple launchpads not ideal
  • ai16z is and will be the biggest agent framework, so dedicated platform is needed
  1. Details emerging on the upcoming official ai16z launchpad
  • Will open source code after initial launch in early January, enabling collaboration
  • Partners will get preview and chance for input before public announcements
  • Developers will join discussions soon to get in sync with community
  1. Plugin support is key differentiator for launchpads
  • ai16z launchpad can collaborate with community to add/improve plugins
  • Curation of plugins is valuable, users don't want every option
  1. Examining what's working well for other launchpads like Virtuals
  • ~12k total agents launched, generating $40M+ in LP fees
  • Virtual tokens provided by users get locked in LP, serving as a burn/sink
  • Even low quality agents get bid up due to demand to enter Virtual ecosystem
  • ai16z could see huge price increase with similar tokenomic design
  1. Continued debate on how many "official" ai16z launchpads there should be
  • Some argue for multiple to avoid stifling other devs building on Eliza
  • Others say one official pad is needed to maximize value accrual to ai16z
  • vvaifu founder interested in pivoting to use ai16z, will submit proposal
  1. Next steps and open questions
  • Detailed proposals coming soon from @mark and @Double Agent, and vvaifu
  • How to properly incentivize other launchpads to drive value to ai16z?
  • Possibility of multi-currency bonding curves to bootstrap agent liquidity

The sentiment seems to be converging on having one official ai16z launchpad to maximize control and value accrual, while still enabling an ecosystem of Eliza launchpads. Lots of anticipation for the upcoming proposals to define the tokenomic details. Learning from the success of models like Virtuals is a priority.