Perplexity differentiates itself from other conversational answer engines like Chat GPT by providing accurate and up-to-date information sourced directly from the internet, ensuring precise answers to user queries. Unlike Chat GPT, which sometimes inaccurately hallucinates responses, Perplexity focuses on speed, delivering answers in just six to seven seconds, significantly quicker than the approximately ten-second response time of Chat GPT. This emphasis on accuracy and speed sets Perplexity apart in the realm of conversational answer engines.
It used to feel like magic. Now it can feel like a set of cheap tricks. Is the problem with Google — or with us? And is Google Search finally facing a real rival, in the form of A.I.-powered “answer engines”?
- RESOURCES:
- “A Fraudster Who Just Can’t Seem to Stop … Selling Eyeglasses,” by David Segal (The New York Times, 2022).
- Subprime Attention Crisis: Advertising and the Time Bomb at the Heart of the Internet, by Tim Hwang (2020).
- “Complaint: U.S. and Plaintiff States v. Google LLC,” by the U.S. Department of Justice (2020).
- “Fake Online Locksmiths May Be Out to Pick Your Pocket, Too,” by David Segal (The New York Times, 2016).
- “‘A’ Business by Any Other Name: Firm Name Choice as a Signal of Firm Quality,” by Ryan C. McDevitt (Journal of Political Economy, 2014).
- In the Plex: How Google Thinks, Works, and Shapes Our Lives, by Steven Levy (2011).
- “The Anatomy of a Large-Scale Hypertextual Web Search Engine,” by Sergey Brin and Lawrence Page (Computer Networks and ISDN Systems, 1998).