Its efficacy is also strongly dependent on understanding that it's a keyword search engine with no semantic understanding.
Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
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Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#12Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#13Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#14Brave search API is obscenely overpriced. I hope someone is working on Search because Google has become a singularly garbage company. Propping up DEI is sinful enough but just failing to compete is lame. /shrug
Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#15I feel like you could reboot yahoo directory and have more utility that most searches.
Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#16Since ddg uses bing, does anyone know what is happening here at bing? It looks like google results are similar.
Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#17Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#18Search was the biggest feature of the web in the early '00s. Now it's such a mess. I can't imagine Search will ever be amazing again, given all the complexity of providing quality while still avoiding all the crap.
But all in all, a very good article
Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#19The issue with traditional search engines is that keyword-first algorithms are extremely gameable. Try https://search.metaphor.systems - it's fully neural embeddings-based search. No keywords, only an embedding of what the actual content of a webpage is. So in the mentioned example of searching for Youtube downloaders, with Metaphor you'll get only Youtube downloaders ( https://search.metaphor.systems/search?q=This%2…
What prevents websites from gaming their embedding? Switching to a similarity search doesn't prevent the results from being gamed.
Re: Compare Google, Bing, Marginalia, Kagi, Mwmbl, and ChatGPT
#20The issue with traditional search engines is that keyword-first algorithms are extremely gameable. Try https://search.metaphor.systems - it's fully neural embeddings-based search. No keywords, only an embedding of what the actual content of a webpage is. So in the mentioned example of searching for Youtube downloaders, with Metaphor you'll get only Youtube downloaders ( https://search.metaphor.systems/search?q=This%2…
edit: The results are also from my quick QA not that great. Searching for "what is the best mouse to buy" leads to links to buy random mice versus review summaries or online discussions on mice. One of the recommended queries of "Here is a great fun concert in San Francisco" leads to some really bizarre results in non-English languages that have nothing to do with either SF or concerts.
edit2: Also, Google has been using LLMs part of their search since at least 2018 so definitely not just keyword matching there.