3 ms·

I honestly think this is as much the enshittification of google as it is the enshittification of the web. Early google was great in large part because the earl

I honestly think this is as much the enshittification of google as it is the enshittification of the web. Early google was great in large part because the early web had a much better signal to noise ratio. Going on for well over a decade we've been putting far more slop on the web than useful content. It really adds up over time. I also feel this is largely why the GPTs have been so successful. They're if nothing else a lot less annoying than the web search experience has become.

plagiarist 2y ago
I agree, though I think Google and all the adtech companies share a lot of the blame for the structure of the modern web. The result is current web search returns static output from smaller models in the form of affiliate marketing listicles. Using a larger LLM directly on your query is simply better. There is a semantic/vector search happening with them such that there might be relevant terms or concepts even in a false answer. That's a step forward towards real information at least. That doesn't happen with the listicles.
eitland 2y ago
> I honestly think this is as much the enshittification of google as it is the enshittification of the web. Early google was great in large part because the early web had a much better signal to noise ratio. Hi again! Lots of respect for your work. This thing I considered for a while but I am now certain that it cannot be the whole explanation. Why? Because for me Kagi has consistently outperformed Google to the point where it feels like having Google 2009 back, just with some extra improvements: It finds the things I ask for and prioritise in a good way so I rarely have to look for page 2 or anything.