I consulted ChatGPT about a bank issue. I didn't have a phone number but ChatGPT was able to spill out a number with a recommendationto call. I verified the number and it was indeed correct (easy: google the number) I couldn't find the number with searches (I tried before) and I didn't even know that it might be helpful (didn't find it before, so how could I tell) but the AI spilled out and told me how useful it is.…
The compression can be lossy though and the model often “predicts” complete garbage even with GPT-4. It would be great to get a probability for correctness “Mr. Spock” style in chat - especially so as in case of a telephone number…
Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
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Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#22Are these hot takes a thing on HN now? I hope not. Write a blog post articulating your argument and link that, but please don't turn HN into Reddit any more than it already has.
In person, when there is no algorithm, social norms ARE the algorithm. Maybe that'll work here too, maybe not. Good luck.
Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#23Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#24Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#25Are these hot takes a thing on HN now? I hope not. Write a blog post articulating your argument and link that, but please don't turn HN into Reddit any more than it already has.
Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#26I consulted ChatGPT about a bank issue. I didn't have a phone number but ChatGPT was able to spill out a number with a recommendationto call. I verified the number and it was indeed correct (easy: google the number) I couldn't find the number with searches (I tried before) and I didn't even know that it might be helpful (didn't find it before, so how could I tell) but the AI spilled out and told me how useful it is.…
I'm talking about a top physician who is of course a leader at using the AI to leverage his own advanced skills, along with contributing to the enhanced training of the model as they go along in a way where each physician's unique input can leverage each other's.
Man in the loop > Loop with no man
Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#27Earlier quoted context omitted.
The compression can be lossy though and the model often “predicts” complete garbage even with GPT-4. It would be great to get a probability for correctness “Mr. Spock” style in chat - especially so as in case of a telephone number…
You can ask it to also provide a confidence score, though I found it biases heavily towards a high score.
And rising.
What action would you recommend?
Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#28Generative AI is creative. You've heard of the 10x engineer. Soon we will have 10x and 100x creators. There will be single person production studios that "direct" or rather creation full movies by themselves. Imagine a Stanley Kubrick being able to unleash his creative vision unrestricted by material constraints? My only hope is that there exists some young folks with the creative minds of a Kubrick or a Wagner to gi…
By bet would be that it would make his work worse. Constraints are almost always what leads to great art. Unconstrained creative vision usually leads to the opposite.
Re: Prediction: Semantic search (boring) ends up bigger than generative AI (cool)
#29Earlier quoted context omitted.
Bought the book, thanks! Dying to learn more here, just did a semantic search project and I have more questions than it answered.
Awesome, thanks!!! Trey is currently writing more on the Generative AI stuff, and the three of us are giving a panel discussion at the upcoming Haystack search relevance conference https://haystackconf.com/2023/