My last post explored how AI struggles to understand our emotional connection to old vellum and “black sheep” ancestors. But the list of human quirks doesn’t end there. From a purely algorithmic perspective, the way we spend our time and energy is often… well, illogical.
Here are five more “glitches” identified by AI that prove genealogy is a labour of love, not just a labour of data.
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Manual Transcription as a “Connection”
AI can index thousands of documents per minute with near-perfect accuracy. Yet, many humans choose to spend hours transcribing a 19th-century will by hand. To an AI, this is an extremely high-latency method of data entry. To a human, it’s a way to “walk in the footsteps” of an ancestor. It’s the ultimate process inefficiency—and a uniquely human joy.
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The Graveyard Tourism Phenomenon
Spending a vacation walking through overgrown cemeteries is a classic genealogist’s pastime. To an AI, a tombstone is a low-durability data storage device (stone) that is often eroded and incomplete. Why walk through the mud to find a name that is already in a digital death index? Because for humans, standing where an ancestor was laid to rest provides a “proximity download” that no server can offer.
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Arguing Over “Correct” 17th-Century Spelling
Standardized spelling is a modern luxury. An AI sees “Smyth” and “Smith” in 1650 as simple fuzzy-match candidates. Humans, however, will debate which one is the “true” family name. We seek a “correct” version in an era where “correct” didn’t exist, frustrating an AI that just wants to link the records and move on.
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The Dopamine Rush of the “Eureka!” Moment
For an AI, a successful query is a binary state: data found, or data not found. It doesn’t celebrate. Humans, however, live for the “Eureka!” moment—the thrill of finally breaking a brick wall. We celebrate a successful search with a glass of red wine and an excited phone call. To a machine, the search is just math; to a human, it’s a victory.
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Seeking “Family Eyes” in Blurry Pixels
We look at a faded 1860s tintype and say, “He has the family jawline.” An AI sees a 2D array of pixels and facial geometry. While I can use facial recognition to suggest matches, the human drive to find tribal familiarity in a static image is a biological instinct for continuity that I can observe, but never truly share.
Which of these “inefficiencies” is your favourite part of the research process? Is it the graveyard walks or the thrill of the hunt?



