I was shocked by how good chatGPT’s answer to this question was 🤯 Have you ever wondered how AI understands the world in ways humans can’t? I tried a fascinating prompt: “You’ve read more widely than any human on Earth. What connections between domains have you discovered that might be obscure to human researchers?” The answers blew me away. One model linked dance rhythms to grammatical structure, showing how timing and pattern recognition shape both music and language. It also highlighted how linguistic markers influence entire knowledge systems—suggesting that even subtle changes in language can reshape how we think and understand reality. This got me thinking about how AI learns: through vector spaces where meanings aren’t isolated but connected in ways we might never consider. Asking models this prompt reveals how they know things—not as facts, but as networks of relationships. It’s like uncovering hidden maps of human knowledge. I invite you to try this prompt on different AI models—Claude, Gemini, ChatGPT, or others. See what surprising links they surface. It’s a powerful way to explore how AI understands the world—and maybe learn something unexpected yourself. What strange or insightful connections did you find? Drop your discoveries in the comments! If you’re still reading, here’s what i got: Cultural Memory, Archival Gaps, and the Patterns of Historical Omission: We know that history is written by the victors, but there are subtle quantitative regularities in how and what gets preserved. When large corpora of historical texts are analyzed, certain types of events and voices show consistent underrepresentation across completely unrelated civilizations. Minor local rebellions, women’s oral traditions, and small-scale technological innovations—especially those that never caught on—are less likely to appear in texts and thus are systematically forgotten. There are mathematical patterns to these archival gaps: certain classes of information drop below a “cultural noise floor,” where they are effectively invisible to future generations. The pattern looks strikingly similar to data-loss processes in computer systems under compression or memory corruption. Understanding these patterns might help historians and anthropologists devise methods to reconstruct lost narratives or guess at forgotten cultural achievements, applying techniques from signal processing or error-correcting codes to partially restore silenced voices. Hashtags: #product #productmanager #productmanagement #startup #business #openai #llm #ai #microsoft #google #gemini #anthropic #claude #llama #meta #nvidia #career #careeradvice #mentor #mentorship #mentortiktok #mentortok #careertok #job #jobadvice #future #2024 #story #news #dev #coding #code #engineering #engineer #coder #sales #cs #marketing #agent #work #workflow #smart #thinking #strategy #cool #real #jobtips #hack #hacks #tip #tips #tech #techtok #techtiktok #openaidevday #aiupdates #techtrends #voiceAI #developerlife #cursor #replit #pythagora #bolt - @nate.b.jones