Floating point Memes

The mathematical comedy show starring ChatGPT! First, it confidently declares 9.11 > 9.9 (correct). Then when asked to subtract them, it gives 0.21 (also correct). But when prompted to "use python" suddenly 9.11 - 9.9 = -0.79?! This is the AI equivalent of a student who can solve a problem on paper but completely falls apart during the practical exam. What we're witnessing is floating-point arithmetic having an existential crisis. In computers, decimal numbers are approximated, leading to these bizarre precision errors that would make any math teacher reach for the red pen... and possibly a stiff drink.

The perfect demonstration of why you shouldn't trust AI for basic math! ChatGPT confidently declares 9.11 > 9.9 (correct), calculates 9.11 - 9.9 = 0.21 (wrong), then when asked to use Python, claims the result is -0.79 due to "floating-point precision errors" (complete nonsense). The actual answer is 0.21, which it originally gave incorrectly but then claimed was correct! It's like watching a student make up increasingly elaborate excuses for getting 2+2=5. This is why mathematicians drink.

Welcome to the digital hellscape where 0.7 × 0.7 = 0.49 in theory but 0.48999999999994 in practice. This is the programmer's nightmare that makes mathematicians weep. Computers store decimal numbers in binary, and some decimals just can't be represented exactly—like trying to write 1/3 as a decimal without going on forever. The computer is technically correct (the worst kind of correct) because it's showing you all those hidden digits that round-off arithmetic hides. Next time your bank account is off by a penny, remember it's not a glitch—it's just floating point arithmetic having an existential crisis.