A Short History of How AI Search Was Developed
Ask an LLM about a well-known company and it answers fast, and usually gets it right. Ask something obscure and it can be just as confident and completely wrong. This episode traces that behavior back 40 years, to two rival ideas about how to make a machine understand the world, and shows how their recent fusion is what actually answers questions about your company in AI Search today.
What you’ll hear in this episode:
Why hallucinations run on the exact same machinery that produces correct answers
The hand-built approach: Cyc, triples, the semantic web, and how Freebase became Google’s…
The skinny
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