Google's experimental chatbot Bard is working on another product with 2 billion users, Jack Krawczyk, Google's senior product manager, said at Reuters' annual NEXT Live press event.
Chatbots allow consumers to share ideas and obtain information using new artificial intelligence, and Krushek noted that Bard paved the way for Google to attract more customers.
"The company is considering giving Google Assistant the ability to set timers and execute commands using Bard's human suggestions, which is an opportunity," Jack Krushek said.
“Connecting these products via mobile devices in the coming months will make AI accessible to many more people, and we believe this opens a whole new path,” he added.
Google's forecast highlights parent company Alphabet's AI ambitions, with six products, including its own search engine and YouTube, each attracting billions of users.
Google's forecasts also reflect growing competition: Amazon is promising to upgrade its Alexa voice assistant with generative AI, and OpenAI has previously added features like voice commands to its ChatGPT chatbot.
According to the company, Google Assistant runs on more than a billion devices. The way consumers get information could change: Bard's web traffic rose 2% to 8.7 million in October, even as its main competitor ChatGPT saw rapid growth, while Google's search traffic similarly declined 0.4% over the course of this year. Period.
User retention rates vary over time while providing quick and accurate answers. Krushek said his mission is to increase Bard's usefulness rather than hinder potential monetization opportunities such as a subscription model or advertising.
Bud has faced challenges including inventing non-existent messages when users asked him to analyze the contents of their Gmail inboxes, an example of AI prone to hallucinations when asked for facts.
Earlier this month, Bard was made inaccessible after a record number of people wanted to use it, and OpenAI reported that ChatGPT was also made inaccessible on the same day.
“Several large language modeling products were released around the same time, and it is useful to monitor changes in online behavior patterns because we are still learning how best to scale them to large populations,” he said. Krushek said. Challenge for us. A few minutes later, the state of the search engine (Google) in 2009 was mentioned.