For me, the show stopper is that every single token is suspect. Adding layers of more of it compounds this suspicion, leading to fatigue and automation bias, am

For me, the show stopper is that every single token is suspect. Adding layers of more of it compounds this suspicion, leading to fatigue and automation bias, amplifying the speed of error or technical debt while possibly even acting against the understanding and control of stakeholders. They are actually in my mind far above human skill, actually, and far below basic microbes in basic existing and engagement of course. I think the true societal task now is to give names to these non-alive qualities and risks, the echo chamber aspects, what the total information of a model plus a generated result is, and things like X/Y problems and unknown unknowns.