Well it seems that, those days, instead of SUM(expense1,expense2) you ask an LLM to "make an app that will compute the total of multiple expenses".

If I read most of the news on this very website, this is "way more efficient" and "it saves time" (and those who don’t do it will lose their job)

Then, when it produces wrong output AND it is obvious enough for you to notice, you blame the hardware.

Somewhere along the line, the tensor math that runs an LLM became divergent from every other Apple device. My guess is that there's some kind of accumulation issue here (remembering that floating-point accumulation does not usually commute), but it seems genuinely broken in an unexpected way given that Apple's own LLM also doesn't seem to work on this device.

LLMs are applied math, so… both?