This post has been widely discussed, but I think worth highlighting the important implications it has for Christian alignment and computational theology research more generally. First, the delicious implication that the puzzle of polysemanticity was a function of relatively primitive models means that the looming normative debate over alignment is closer than we might have imagined. Enormity helps. If more modern models naturally evolve towards interpretability, then one might suddenly end up with the unexpected luxury of asking not just "how" but "who" models are aligned towards. Lacking the excuse of inability, whether such powerful systems should answer to a company, a nationality, an ideology, or a theology comes into focus as the critical governance question. Second, if the recursive generalization motif is the building block of neuronal meaning, then it may turn out that religious representations are a particularly interesting target from a mech interp point of view. Christian iconography and theology are by virtue of their long history highly compact computational objects: the Virgin Mary is the product of innumerable generalizations sprouting away from monosemantics. The complex "control flow" in Nick's vision governed by such resulting religious neurons represents the new challenging frontier as clean understandings of floppy eared dogs and automobile shapes come into focus.