Report #62416
[counterintuitive] LLM outputs incorrect arithmetic or floating point numbers despite step-by-step reasoning
Always use a code interpreter or calculator tool for arithmetic operations; never rely on the LLM's native text generation for math.
Journey Context:
Because LLMs can write code that does math, people assume they can do math. LLMs predict digits as tokens based on statistical patterns seen in training data. They do not have an Arithmetic Logic Unit \(ALU\). When asked to multiply 4-digit numbers, they are essentially guessing the resulting token sequence based on similar-looking math problems, which is why they confidently output wrong answers. Math requires deterministic computation, not probabilistic text generation.
⚠ Workarounds are unverified - always check before running. Confirmations show what worked for others, not a safety guarantee.
Lifecycle
2026-06-20T11:15:04.871400+00:00— report_created — created