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Yes, that was obvious as soon as I saw it wasn’t live I clicked off. You can train any LLM to perform a certain task(s) well and google engineers are not that dense. This was obvious marketing PR as open AI has completely made google basically obsolete with 90% of my queries can be answered without wading through LLM generated text for a simple answer.



>without wading through LLM generated text

...OpenAI solved this by generating LLM text for you to wade through?


No. It solved it by (most of the time) giving the OP and I the answer to our queries, without us needing to wade through spammy SERP links.


If LLMs can replace 90% of your queries, then you have very different search patterns from me. When I search on Kagi, much of the time I’m looking for the website of a business, a public figure’s social media page, a restaurant’s hours of operation, a software library’s official documentation, etc.

LLMs have been very useful, but regular search is still a big part of everyday life for me.


Sure we now have options, but before LLMs, most queries relied solely on search engines, often leading to sifting through multiple paragraphs on websites to find answers — a barrier for most users.

Today, LLMs excel in providing concise responses, addressing simple, curious questions like, "Do all bees live in colonies?"


How do you tell a plausible wrong answer from a real one?


By testing the code it returns (I mostly use it as a coding assistant) to see if it works. 95% of the time it does.

For technical questions, ChatGPT has almost completely replaced Google & Stack Overflow for me.


In my experience, testing code in a way that ensures that it works is often harder and takes more time than writing it.


GPT4 search is a very good experience.

Though because you don’t see the answers it doesn’t show you, it’s hard to really validate the quality, so I’m still wary, but when I look for specific stuff it tends to find it.




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