Pagerank was built on the Markov Model, which became the core of modern LLM graph design.
It was a precursor technology, not an independent system, which used Hyperlinks rather than word tokens to form associations.
they usually mean llms specifically and using that to replace actually going to the source websites is new
So much of the complaint around AI isn’t even the LLM part. It’s the weighting and censorship of certain sources and data, convinced with the masking of results behind natural language output templates.
You had the first problem under Pagerank already (Google Bombing and “shadow banning” of sources the company didn’t find reliable). The second is entirely a product of the interface and has nothing to do with the heuristics of the program.
sure both pagerank and llms can modelled as marlov chains, but the working and output of these models is very different. it’s disingenuous to state that google used llms and their precursors since the beginning. their precursors maybe but they are very different beasts.
as for the complaints, for me a big problem of their use in search engines is that they often hide the sources of the summary they provide and disincentivize people from clicking through to the source sites. This is very much a new problem that didn’t exist before google included output from generative models
Pagerank was built on the Markov Model, which became the core of modern LLM graph design.
It was a precursor technology, not an independent system, which used Hyperlinks rather than word tokens to form associations.
So much of the complaint around AI isn’t even the LLM part. It’s the weighting and censorship of certain sources and data, convinced with the masking of results behind natural language output templates.
You had the first problem under Pagerank already (Google Bombing and “shadow banning” of sources the company didn’t find reliable). The second is entirely a product of the interface and has nothing to do with the heuristics of the program.
sure both pagerank and llms can modelled as marlov chains, but the working and output of these models is very different. it’s disingenuous to state that google used llms and their precursors since the beginning. their precursors maybe but they are very different beasts.
as for the complaints, for me a big problem of their use in search engines is that they often hide the sources of the summary they provide and disincentivize people from clicking through to the source sites. This is very much a new problem that didn’t exist before google included output from generative models