Author: James Tanner

Will Genealogy Survive AI?

Note: This article appeared previously in the Genealogy’s Star blog site. https://www.familysearch.org/en/search/genealogies/submissions?f.collectionId=10000130 AI’s rapid advancement is caused by three factors: raw compute increases, algorithmic efficiency improvements, and “unhobbling” processes. In the current super-accelerated decade, we enjoy a 10,000x AI performance boost every four years, making it likely that AI will exceed top human experts by 2027. There are good arguments...

10 Ways to Survive Using the FamilySearch.org Website

Note: This article appeared previously on the Genealogy’s Star blog site. FamilySearch.org can seem overwhelming at first glance. Yet just as the saguaro cactus thrives in a harsh desert, you can adapt and master the platform. Here are ten practical survival suggestions for navigating the FamilySearch Family Tree and uncovering your ancestors. Much like packing a full canteen before trekking...

The Main Challenges of FamilySearch Full-text Search, Part Three

Note: This article appeared previously in the Genealogy’s Star blog site. https://www.familysearch.org/en/search/full-text These instructions about using simple Boolean Algebraic symbols for doing full-text search are a reminder that when you are using AI you are talking to a computer, not a person. If I started a set of Rules for AI in Genealogy, I would put this statement as the...

Precision Inquiry: The real core of using AI for research

Note: This article appeared previously on the Genealogy’s Star blog site. When the current wave of generative AI came out, the main draw seemed to be the Natural Language Interface (NLI). The NLI is not Voice Recognition. Voice Recognition is the “ears” (turning sound into text), while a Natural Language Interface (NLI) is the “brain” (understanding what that text actually means)....