10 Ways Meta's AI Search Engine Will Disrupt the Industry

Published On Wed Oct 30 2024
10 Ways Meta's AI Search Engine Will Disrupt the Industry

Report: Meta builds its own AI search engine | heise online

According to a media report, Meta is developing an AI search engine to compete with Google and Bing and reduce its dependence on its competitors.

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Meta's AI Search Engine Development

The US company Meta is working on a search engine based on artificial intelligence (AI). The company, which owns the social media platforms Facebook and Instagram, wants to reduce its dependence on search engines such as Alphabet's Google or Microsoft's Bing. This was reported on Monday by the US tech website The Information, citing a person familiar with the matter. According to the report, the search engine powered by a new web crawler will be integrated with Meta's Meta AI chatbot on WhatsApp, Instagram, and Facebook.

Meta's new AI search engine will provide conversational answers on current events, news, share prices, or sports results. The company currently relies on the Google and Bing search engines. An anonymous source told The Information that Meta aims to reduce its dependence on its two major competitors and have a backup plan in case Google or Microsoft decide to end their partnership with Meta.

Meta's Recent AI Developments

In mid-April, Meta replaced the Large Language Model (LLM) in its chatbot Meta AI with a new, improved version - Meta Llama 3. This move was seen as a challenge to the dominance of OpenAI's ChatGPT. With the development of its AI search engine, Meta aims to enter the competitive search engine market where companies like Google and OpenAI are already making significant advancements.

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Google, for example, has integrated its powerful Gemini AI model into its search engine to enhance search query interactivity. Conversely, OpenAI relies on Microsoft's Bing for web access to answer search queries.

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This article was originally published in German. It was translated with technical assistance and editorially reviewed before publication.