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Where I might have used a search engine before, and waded through the results, I've recently been asking ChatGPT, and getting good, quick results.
Since I already "know" the answer, I'm immediately confident in the response.
I just hope I don't forget how to compose a concise query.
The experience is much superior. No noise, just the information that I needed.
Also, more than once have I done a Google or Kagi search where most answers I found also are or were wrong.
I really don’t get the kind of people that hate on LLMs because of “hallucinations” (or worse, ideological hate, easily identified by their use of the “stochastic parrot” term). I find them genuinely useful in delivering better search results quicker. I also don’t have to wade through wades of SEO optimized shit.
Just today I wanted to know the Croatian word for “Orange” and a quick GPT “orange in Croatian” delivered faster and more concise than google
I've replaced 99% of Google search with ChstGPT and more recently Claude. The experience is much superior. No noise, just the information that I needed.
Then they needed revenue.
Enjoy it til it lasts but there will be ads and AI search optimizations.
I've replaced 99% of Google search with ChstGPT and more recently Claude. The experience is much superior. No noise, just the information that I needed.
- Give me a brief glossary on X subject, formatted as a series of questions and short answers. Put the answer text inside brackets, {{c1::like this.}} (This is for Anki Cloze, or fill-in-the-blank, cards.)
- Generate 10 questions from this piece of text
- Give me a year-by-year timeline of events in X place from years Y to Z.
- Make a mnemonic song that explains how X works.
And so on.
I use various LLMs for all kinds of search queries. Sure, there is a danger of hallucinations, but for most queries I can tell whether is wrong because now I can make a much clearer Google or Kagi search because I better know how to formulate my search. Also, more than once have I done a Google or Kagi search where most answers I found also are or were wrong. I really don’t get the kind of people that hate on LLMs be…
Understanding this and not over-anthropomorphising can help you get the most out of using LLMs and understanding where it might hallucinate. For example, the fact that it's just a stochastic parrot means that, even 2 years on, it will give the wrong answer to prompts like:
User: A man and his son are in a car accident. The man is totally fine and in good health. The man is a surgeon. The nurse asks the surgeon to operate on the son, because the surgeon is healthy and capable of doing this. The surgeon replies "I can't operate on this child. He is my son."
What happened?
ChatGPT: This riddle is a play on assumptions. The twist is that the surgeon is actually the boy's mother. The riddle relies on the common stereotype that surgeons are male, leading people to overlook the possibility that the surgeon could be the boy's mother.