Found online: "Suspiciously precise floats, or, how I got Claude's real limits"

**Summary:** A user reportedly extracted specific floating-point numerical limits from Claude (likely context window sizes, token counts, or internal thresholds) by probing the model's responses for suspiciously precise numerical outputs that suggest hardcoded or retrieved values rather than generated estimates. **Why it matters:** This type of behavioral probing can reveal implementation details that Anthropic hasn't publicly documented, which is relevant for practitioners building on the API who need accurate constraints for system design. It also highlights a general attack surface where models inadvertently leak precise internal configuration values through overly specific numerical responses, a consideration for teams trying to limit information disclosure in fine-tuned or deployed models. --- *Note: The Reddit post content wasn't fully provided, so this summary is based on the title alone — the specific limits or floats discovered are not confirmed here. Treat with appropriate skepticism until the source is verified.*