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Interesting reply, thanks for taking the time to share your expertise. I definitely wasn’t considering the economics of the question, and I tend to agree with y
by bbor 4y ago
Interesting reply, thanks for taking the time to share your expertise. I definitely wasn’t considering the economics of the question, and I tend to agree with you - supporting LLM queries with ad dollars seems impossible at their current state.
But chatgpt is already pretty darn good at summarizing and communicating. By “hook up” I literally just mean feed text from the internet into the prompt followed by whatever you want it to do with it - summarize, rank, whatever. Ignoring the economics for a moment (paid search engines?) and assuming that GPT 3.5 is the very best LLM we’ll ever get for simplicity: would you still say you don’t think tweaked versions of such models would MASSIVELY improve search?
- tensor 4y agoThese technologies can and likely will help improve search in the future, but there is still a ton of work to be done both on how specifically to use them and also on scaleability. There is also the business model to sort out. Right now search is primarily driven by ads, which I doubt will cover the costs of the sort of ultra-personalization that you're thinking about. Also, reducing the time you spend on a search engine or looking through results will further reduce ad revenue. However, I can see paid search engines perhaps leading to this. So yes, eventually these models can help improve search, just not in the form that we have today. In a few years the story could well be different. I'm quite interested in seeing how Bing integrates chatgpt technology. They claim that they've created some new model on top of it that somehow links it to search results.