Reads like LLMs are slowly getting better at math.
It's nearly there though so it's genuinely an improvement on how they used to behave.
Leaving aside the general ridiculousness, that is, and without checking their actual daily revenue which I'm fairly confident is more likely to be wrong than the arithmetic.
It's writing the conclusion at the beginning, so none of that convincing-looking mathematical reasoning had any bearing on the provided answer. The sum in the fourth paragraph could have been implemented using a plugin: we have no reason to believe the actual language model is doing it (and lots of precedent to suggest it probably didn't).
Note: the original comment has been edited since these remarks were made; it originally said (warning: machine-generated nonsense):
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It would take the combined daily revenue of T-Mobile, AT&T, and Verizon approximately 2.67 days to generate $196 million in revenue. To estimate the time it takes for T-Mobile, AT&T, and Verizon combined to generate $196 million in revenue, we need to calculate their combined daily revenue.
Let's assume the combined daily revenue of the three companies is:
T-Mobile: $45.5 million (as estimated earlier) AT&T: $125.6 million (as estimated earlier) Verizon: $349.3 million (as estimated earlier) Combined daily revenue: 45.5 million + 125.6 million + 349.3 million = 520.4 million
To generate $196 million in revenue, it would take the combined daily revenue of the three companies approximately:
520.4 million (combined daily revenue) ÷ 196 million (target revenue) ≈ 2.67 days
What interested me was that even though it got it backwards 520.4 / 196 isn't quite 2.67, without allowing for some weird floating point behaviour (it's 2.655)