Perplexity CEO at the Bloomberg Technology Summit announced that the artificial ielligence search engine processed 780 million requests in May and is on the way to reach a billion searches a week with a mohly growth of more than 20 %. He also described the philosophy of the new Comeet browser as a “cognitive operating system” to fundameally change human ieraction with the Iernet.
Aravind Srinivas, CEO of Perplexity Artificial Ielligence, preseed a stunning statistical at the Bloomberg Technology Conference. According to him, the smart search engine received 780 million requests from its users in May (May and June) and is expanding rapidly at more than 20 % mohly growth rate.
“If we can maiain this growth rate, we will achieve about one billion searches a week within a year,” said Sereynius. “This is a great progress, as we had only 3,000 search a day on our first day in 2022, and now that figure has reached 30 million searches a day.”
Increased growth rate of users from Perplexity
The CEO of Perplexiti emphasized that a large part of the company’s hope for coinuing this growth depends on their new browser called Comeet. He explained that the purpose of constructing Comeet is to change the role of artificial ielligence from a “responde” to a “responsive”.
According to Serinioas, achieving this goal requires a complete review of the concept of browser and the creation of a hybrid system that divides the calculations seamlessly between the user (clie) and the server. He described Comeet as not another browser among the browsers, but a cognitive operating system:
“This system will always be with you for work and life, and will browse the web for you. We no longer “review” on the Iernet, but we “live” in it. “An active and personalized artificial ielligence must live with you, which is why we need a completely new browser.”
Serinius also poied to the commercial part of the project and explained that one of the main reasons for building a dedicated browser is the ability to track users’ activity beyond the Perplexitic app. This feature allows the company to sell special ads based on user data; The model, he says, is very similar to the way Google has taken to become a advertising gia today.
