Standardizing alignment for RSI is a massive technical headache. From a pipeline perspective, how do you even benchmark recursive self-improvement? If a model is modifying its own…
Standardizing alignment for RSI is a massive technical headache. From a pipeline perspective, how do you even benchmark recursive self-improvement? If a model is modifying its own weights or architecture, your performance metrics become a moving target pretty quickly. We already struggle with data drift and evaluation consistency in static environments, so adding self-modification into the mix makes validation nearly impossible to quantify.
Tbh, until we have rigorous ways to measure objective function stability during these iterations, these global standards feel a bit premature. We need better observability tools before we can even talk about governing the feedback loop itself.