Summary of My Latest Project: Enhancing LLM Safety
I’ve been addressing a critical challenge: ensuring raw LLMs are safe for high-stakes decisions. After months of focused development, I’m excited to share my hybrid architecture that integrates rationality and discipline.
Key Features:
- Neuro (GPT-4o): Functions as the creative strategist, suggesting actions.
- Symbolic (Guardian): A verified rule engine that serves as a safety layer, rejecting poor ideas.
- Causal (Oracle): Uses an
econml
model to assess the long-term value of actions.
I tested this hybrid approach in my AI Colosseum—a competitive environment for agents. Notably, the full Chimera agent thrived during a simulated market crash while a simpler LLM-only agent suffered losses, showcasing the importance of strategy.
🗓️ Early access: Launching on Oct 7th—looking for feedback from tech enthusiasts!
Join the discussion and share your thoughts! 💬 Check out the project here.