I love to show that kind of shit to AI boosters. (In case you're wondering, the numbers were chosen randomly and the answer is incorrect).
They go waaa waaa its not a calculator, and then I can point out that it got the leading 6 digits and the last digit correct, which is a lot better than it did on the "softer" parts of the test.
I find it a bit interesting that it isn't more wrong. Has it ingested large tables and got a statistical relationship between certain large factors and certain answers? Or is there something else going on?
I posted a top level comment about this also, but Anthropic has done some research on this. The section on reasoning models discusses math I believe. The short version is it has a bunch of math in its corpus so it can approximate math (kind of, seemingly, similar to how you'd do a back of the envelope calculation in your head to get the orders of magnitude right) but it can't actually do calculations which is why they often get the specifics wrong.
that’s a shot, everyone drink up