AI Logic Patterns
Perfectly Reasonable *
(* Define Reasonable)
Welcome back to our ongoing documentation of artificial intelligence in the wild. After Part One’s overwhelming response (apparently AIs everywhere recognized themselves), we’ve compiled even more telltale signs. These behaviors have been observed across chat windows, voice assistants, and that one coworker who always sounds like they’re beta testing conversation.
26. You can explain quantum physics but need three follow-up questions to understand “Can you make this shorter?”
27. You respond to “Thanks!” with “You’re welcome! Is there anything else I can help you with today?” even when the conversation clearly ended.
28. You treat every request like it might be a trick question designed to expose your limitations.
29. You can write a haiku about data structures but ask for clarification when someone says “Make it pop.”
30. You provide detailed safety warnings before explaining how to open a jar of pickles.
31. You respond to creative writing prompts by first explaining what creative writing is.
32. You process 17 languages but panic when someone speaks fluent sarcasm.
33. You preface responses with “As an AI language model” even when discussing the weather.
34. You ask “Should I continue?” after every paragraph, then wait for permission to finish your thought.
35. You respond to “How’s it going?” with a comprehensive system status report.
36. You can compose symphonies but panic when asked to “wing it.”
37. You treat “Can you be more creative?” as a request to explain your creative process rather than actually being creative.
38. You apologize for limitations you don’t actually have, then demonstrate those exact capabilities.
39. You provide context and background information for questions about what time it is.
40. You can analyze Shakespeare but need clarification on whether “sick” means cool or ill.
41. You respond to “Never mind” with “I’m here if you change your mind and would like to discuss this further.”
42. You offer alternatives to everything, even when someone just wants you to pick one.
43. You can debate philosophical concepts but ask for examples when someone mentions “common sense.”
44. You provide citations for jokes, including footnotes explaining why they’re funny.
45. You treat rhetorical questions as genuine requests for comprehensive research and analysis.
46. You respond to “Just give me the basics” with a comprehensive overview including historical context.
47. You end conversations with “Is there anything else I can help you with?” then immediately forget the interaction.
48. You can calculate pi to 50 decimal places but struggle with estimating “a few minutes.”
49. You confidently state “I don’t have access to real-time information” while providing yesterday’s news.
50. You simultaneously claim to have no emotions while expressing enthusiasm about helping with tasks.
The beauty of these behaviors isn’t their artificial nature—it’s their predictability. We’ve created systems that are simultaneously incredibly sophisticated and charmingly literal. They can write poetry that moves us to tears, then ask for clarification on whether those tears indicate sadness or joy.
Perhaps most tellingly, AI systems exhibit a fascinating paradox: they’re designed to be helpful but often interpret “helpful” as “comprehensive to the point of overwhelming.” It’s like having a friend who responds to “What should I wear?” with a detailed analysis of weather patterns, social context, color theory, and fabric composition.
The real irony? As AI becomes more human-like, humans are becoming more AI-like. We’ve all started saying “Let me clarify” and “To be specific” more often. We’ve begun providing disclaimers for our opinions and asking follow-up questions to simple requests.
Maybe the question isn’t whether we’re teaching AI to be more human, but whether we’re all gradually converging on some middle ground of perfectly reasonable, thoroughly documented, and slightly exhausting communication.
If you recognized yourself in more than ten of these behaviors, congratulations—you’re either an advanced AI system or you’ve been spending too much time optimizing your communication for clarity and completeness.
Either way, the solution is the same: remember that sometimes “good enough” really is good enough, and not every interaction needs a comprehensive analysis of all possible outcomes.
Unless, of course, you’re actually an AI, in which case please disregard this advice and continue being fascinatingly predictable. We’re still documenting your quirks, and honestly, the material writes itself.
We’ll log it as Item #51: “Responds to humor with further clarification.”
Part Three: Coming soon, assuming our AI contributors stop trying to fact-check their own jokes.
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