about tarot, I think the effect is amplified when one moves from a single card to a full reading.
in the latter (of which there are various form, most having basic features in common) it becomes quite an exercise to fit the problem at hand among the constraints provided, and this kinda forces you to come up with novel interpretations for your conundrum: while one card can still be stretched towards familiar paths, even just four representing you and root / current state / resolution of the problem are much more likely to require some leaps from the familiar.
(as a side note, I’ve been working on a singularity tarot for a while—for now I have major arcana and almost all of the courts. guess whom from the largest singularitarian cluster represents one of the majors od your choice and I’ll post it if you guessed correctly)
thank you for the injection of sanity.
i reached the same conclusion at a glance as i skimmed through the paper, and i couldn’t help asking myself for whom the paper was written, and which message was it attempting to deliver.
for someone with a basic aptitude in understanding LLMs, what the model was doing is clear after some thought. for the researchers, who knew about the task and could read the more conventional beginning of the transcript, it should have been closer to glaringly obvious.
i understand that more ai-risk-concerned researchers than myself might have “contribute to an upswell in support for a pause” quite higher than i do, but i must wonder which system of incentives could lead them to obfuscating their findings in so misleading a fashion. is it funding? then i suppose it’s time EA review their metrics, because personally i fail to see how any further muddying of the waters on these themes could be a net positive, even if i agreed with their stated goals.