There have been a number of new AI search engine demos released recently. As I have written about before this is an idea I am especially excited about because it can combine the incredible synthesis abilities of LLMs with verifiable citations from the web. This should lead to more accurate mental models of AI and its output — a research assistant, not an all-knowing oracle. This would already be an improvement over Google’s Knowledge Graph which frequently surfaces unsourced answers.
This is a demo inspired by OpenAI WebGPT, not a commercial product. Perplexity Ask is powered by large language models (OpenAI API) and search engines. Accuracy is limited by search results and AI capabilities.
YouChat is a ChatGPT-like AI search assistant that you can talk to right in your search results. It stays up-to-date with the news and cites its sources so that you can feel confident in its answers.
Vik Paruchuri‘s open source Researcher project:
By feeding web context into a large language model, you can improve accuracy and verify the information… Researcher gives you cited sources and more specific information by relying on context from Google.
It is getting increasingly perplexing that we haven’t yet seen any similar search demos from Google or Microsoft.