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this post was submitted on 03 Apr 2025
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The basic graphing technology used by AI is the same pioneered by Alta Vista and optimized by Google years later. We've added a layer of abstraction through user I/O, such that you get a formalized text response encapsulating results rather than a series of links containing related search terms. But the methodology used to harvest, hash, and sort results is still all rooted in graph theory.
The difference between then and now is that back then you'd search "Horse" in Alta Vista and getting a dozen links ranging from ranches and vet clinics to anime and porn. Now, you get a text blob that tries to synthesize all the information in those sources down to a few paragraphs of relevant text.
That simply isn't true. There's nothing in common between an LLM and a search engine, except insofar as the people developing the LLM had access to search engines, and may have used them during their data gathering efforts for training data