Threadcast link:
@taskmaster4450/re-leothreads-6kvxqmzx
Link to recording:
https://x.com/taskmaster4450/status/1920874600981733585
Speakers
DISCLAIMER: The following has been generated by AI based on the publicly available recording of the livestream. Because the content is AI generated it may contain errors, so please keep that in mind when reading. Feel free to suggest corrections and/or add additional information/improvements in the comments. Read more: Introduction post for the AI Summaries project
LeoDex Referral Program Launched
The big news this week is the addition of a new referral program on the LeoDex decentralized exchange. When users connect their wallet to LeoDex, they are provided with a unique referral code that they can share. Any trades or swaps made by people who use that referral link will earn the referrer a portion of the trading fees, estimated to be around one-third of the 0.45% fee charged by LeoDex.
This referral program turns LeoDex users into potential marketers for the platform. By sharing their referral links, users can earn passive income from the trading activity of those they refer. The more successful traders a referrer can bring in, the more they can earn over time from the fees generated.
Potential Future LeoDex Integrations
In addition to the referral program, the LeoDex team has discussed plans to integrate new DeFi features and services into the platform in the future. This could include things like perpetual futures contracts, which allow for more advanced trading strategies beyond just buying and selling the underlying assets.
Another potential integration is collateralized lending, where users can take out loans against their cryptocurrency holdings. This enables users to access liquidity without having to sell their assets, and can be used for things like yield farming or arbitrage opportunities.
As these new DeFi features get added to the protocols that LeoDex integrates with, such as Thorchain, the referral program will allow LeoDex users to earn a share of the fees generated from those activities as well.
Importance of Data Feeding LeoAI
The discussion then shifted to the development of LeoAI, the artificial intelligence system being built for the Leo ecosystem. The hosts emphasized the critical importance of providing LeoAI with as much relevant data as possible in order to train the model effectively.
They explained that unlike large language models like GPT-3 which can scrape data from the open internet, LeoAI is more reliant on the content and discussions happening directly within the Leo community. Things like blog posts, comments, and interactions with the Rafiki AI agent all contribute valuable data that helps shape and improve LeoAI over time.
The hosts encouraged community members to actively participate by posting content in various languages, discussing niche topics, and generally expanding the breadth of information available to LeoAI. This user-generated data is seen as crucial for developing LeoAI into a robust and capable AI assistant tailored to the needs of the Leo ecosystem.
Rafiki AI Agent Limitations
The conversation also touched on the current limitations of the Rafiki AI agent, which is powered by the Venice AI model. Rafiki was described as a simple middleware agent that prompts the Venice model, copies the response, and posts it - it does not have any true learning or conversational capabilities on its own.
Recent issues were noted where Rafiki got stuck in a loop, repeatedly responding to itself due to a conflict with the AI Summaries feature. This highlighted the need for more robust testing and monitoring of Rafiki's performance to ensure it functions reliably.
Additionally, the hosts explained that the Venice AI model Rafiki uses is trained on data only up to late 2023, so it may lack the most up-to-date information on current events. This underscores the importance of community members actively contributing new data to help improve the underlying AI models.
Overall, this episode provided valuable insights into the development of LeoDex and LeoAI, emphasizing the role that the Leo community can play in shaping the future of the ecosystem through active participation and data contribution.