What GPT Means for Structured Data – Whiteboard Friday

So let’s compare and contrast that to the new world order of ChatGPT.

One of the exciting things about ChatGPT and similar interfaces is the promise of being able to refine and filter your search right there in the search engine in the same interface. And so, you ask it something, you get some results, and then you can ask it clarifying questions or ask it to filter those results. And basically, it brings this second phase of the search right into the same interface. And that is really powerful, it’s really compelling, and we want it. But at the same time, ChatGPT and other chat-based interfaces for search haven’t had a huge impact. They’re still absolutely tiny in terms of usage compared to regular old Google.

The other thing about ChatGPT is it requires a different interface. And we’re gonna come back to it, I’ve just noticed I’ve got a spelling mistake, so I wanna fix that on the fly right as we’re recording. So it has a different interface, and so that, I think, leads to users being resistant to using it. And so, the question is, can we get this same benefit of bringing this second phase of the search into the search engine itself but without the chat? And the good news is all of the ability to understand context and filter comes from the GPT part of ChatGPT rather than the chat part. GPT, of course, stands for generative pre-trained transformers. And whilst ChatGPT is an OpenAI product, GPTs themselves are just a type of large language model that are now out there in the world for anyone to use and there are lots of companies already building things on their GPTs.

And so let’s compare and contrast the two worlds.

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