DIVING INTO GENESIS

The Spaces focused on Genesis launches within the AI agent economy, featuring speakers from Logarithm Lab, discussing their Basis OS launch. The conversation revolved around their experience with Genesis, innovation within the crypto market, the importance of having a product from the start, community engagement, and attaining autonomy in AI agents. The discussion highlighted challenges like initial mistrust due to AI's capabilities, security concerns, and the need for backtesting strategies. Speakers shared insights on building sustainable projects, embracing experimentation, and the importance of transparency and launching with a minimum viable product.

Weekly AI Agent Jam - Discussion on Genesis Launches

Introduction

• Host: Al from Virtual Spenters, co-host Shikai.
• Guests: Numa Pumpili and Lenny Pumpillias, co-founders of Logarithm Lab, discussing their experience with launching Basis OS, an AI-managed DeFi protocol on Genesis.

Genesis Launch Experience

Background and Motivation

• Numa explains the challenges in the crypto market due to problematic launches and traction methods.
• Basis OS aims to combine the benefits of meme coins and tech coins by starting with low prices but gaining organic traction.
• Opted for Genesis due to its fresh approach after finding conventional launchpads inadequate due to insider trading issues.

Launching Process and Feedback

• Numa's Perspective:
  • Initially skeptical but found Genesis' core concept sound and innovative for the crypto environment.
  • Emphasizes building a product from the start, which is unique and demonstrates the project's utility.
• Lenny's Perspective:
  • Stressed the importance of building in public and having community involvement from the beginning.
  • Virtuals' community is encouraging, even for new projects with limited initial followers.

Product Highlights

• Basis Trading Strategy:
  • Designed to optimize yield by analyzing market conditions and managing risks.
  • Boasts significant TVL and a high yield percentage, making it attractive to users.
• Community Engagement and Automation:
  • Emphasizes active participation through a Liquidity Mindset Program rewarding community interactions.
  • Automation extends into community engagement by using AI to handle outreach and community management.

Challenges Faced

• Current limitations of AI in finance means it cannot yet outperform human decisions, but future AI improvements are anticipated.
• Skepticism arises from financial teams on AI's current utility in finance, highlighting the need to plan for future capabilities.

Data and Security

• Engagement with Hackson CIO for robust auditing of AI applications.
• Challenges with building trust and ensuring AI does not make erroneous financial decisions.
• Importance of comprehensive backtesting to ensure financial safety and stability.

Future Directions

• Yield Autopilot:
  • Described as the first core AI product, managing capital allocation across different strategies and chains.
  • Goal: Create an agent-managed defy protocol capable of handling various risk parameters and offering significant versatility.

Levels of Autonomy and Tokenomics

• Discussion on making economic models more autonomous and how agents can influence tokenomical KPIs.
• Focus on going from assistance to fully autonomous through robust data management and gradual trust-building in AI decision-making.

Community Q&A and Closing

• Encouragement for new builders in AI to explore Genesis and Virtuals ecosystem.
• Emphasis on creative, long-term building that complements ecosystem needs.

Final Thoughts

• Positive sentiment on the growing AI agent ecosystem and its integration with crypto.
• Encouragement for transparent, continuous communication and open-source development to support a community-driven growth model.