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Tay Zonday
@tayzonday
It’s funny you say this because SEO is literally Large Language Model to Small Language Model heuristic translation and subjective prioritization of humankind. Indexing (what Yahoo! began as before Google Pagerank) is the opposite direction—SLM to LLM. As it turns out, LLM to SLM is needed to centralize control and SLM to LLM is needed to liberate. The human brain and generative grammar, as Noam Chomsky and others pioneered in the fields of cognitive studies and linguistics, is SLM to LLM. It creates meaning to tame the world, whereas LLM to SLM creates the world to tame meaning.
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maurelian
@maurelian.eth
What is the LLM and what is the SLM here?
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Tay Zonday
@tayzonday
Fantastic question. And I’m more than happy to take an egg on my face where terminology is wrong. In this post, I ascribe the entire Internet parsed and spidered by Google as a contiguous LLM. All of the conditions inherent in a more niche LLM (like ChatGPT or Gemini)— like pattern recognition, recursive syntactic rules governing input and output, and probabilistic value-ranking of optimal and suboptimal outputs— apply to Google’s parsing of the entire Internet and formation of a more limited keyword (Small Language) model that is used to facilitate both search and an advertising marketplace. Search indexing, like IPO-era Yahoo, begins with a manually curated recursive keyword directory (what I’m calling, somewhat colloquially, a Small Language Model) to classify the same data set (the entire Internet). I do think my use here of LLM and SLM applies mostly from a zoomed-out epistemology of knowledge standpoint. Implementation has many iterative, facts-on-the ground variables adding nuance.
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