Conversational Generative AI as Search Engine

It’s always amazing when things suddenly "just work" . It happened to us with Wolfram|Alpha back in 2009. It happened with our Physics Project in 2020. And it’s happening now with OpenAI’s ChatGPT
’s an interesting, essay-style response. But the actual result is wrong
In many ways, one might say that ChatGPT never "truly understands" things; it just "knows how to produce stuff that’s useful" . But it’s a different story with Wolfram|Alpha. Because once Wolfram|Alpha have converted something to Wolfram Language, what it’s got is a complete, precise, formal representation from which one can reliably compute things
But just like us humans, there are times when ChatGPT needs a more formal and precise "power assist"

Hello! My name is YouChat; I’m an AI that can answer general questions, explain things, suggest ideas, translate, summarize text, compose emails, and write code for you. I’m powered by artificial intelligence and natural language processing, allowing you to have human-like conversations with me. I am constantly learning from huge amounts of information on the internet, which means I sometimes may get some answers wrong. My AI is always improving, and I often share sources for my answers.

Today, we are thrilled to launch NeevaAI – an authentic, real-time AI search officially
The introduction of accessible AI, such as the recent explosion of ChatGPT, represents one of the most exciting technological advances since the iPhone
First, ChatGPT’s output does not include sources or references. It is impossible to determine the credibility of an answer by identifying and looking up the primary source
Second, ChatGPT does not retrieve real-time data or information. The model stops at 2021, making it less useful for the needs of current searches
Nevada solves both of these problems

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