
Google announced a new partnership with the Associated Press (AP) on Wednesday. The collaboration focuses on artificial intelligence (AI) products and services based on Mountain View’s tech giant powered by its Gemini AI model. The company stressed that through this partnership, the U.S.-based nonprofit news agency will provide “a feed of real-time information” to help improve the response of the Gemini platform. Although the tech giant hasn’t revealed more details, it may also allow Gemini to access real-time information faster.
Google announces AI-focused collaboration with AP
Google’s announcement comes at competitor Openai with news and media companies such as Condé Nast, Vox Media, World World News Papers and News Publishers (Wan-IFra) and Wall Street Journal’s parent organization News Corp. After several such partnerships.
These partnerships offer AI companies a variety of benefits. First, as publicly available data quickly runs out in training updates and more advanced AI models, companies are now looking for high-quality data to continue to develop large language models (LLMS).
Entering a partnership can also allow AI companies to access firewall-protected content that typical web crawlers cannot find. In addition, such transactions also protect the company from any risk of copyright infringement lawsuits. Finally, such collaboration requires content platforms to send structured data, which also makes it convenient for AI companies to quickly classify and eat AI systems.
Although Google did not disclose any financial details of the transaction, it stressed that the AP will provide a feed of real-time information that will be used to improve the usefulness of the results displayed in the Gemini App. The post also mentioned that the company is in the process of establishing limited partnerships with “identifying specific types of information and data.”
Google explained in another article that its AI-based partnership focuses on structured factual information in specific key areas such as closed datasets, metadata and signals, as well as real-time structured factual information for validation purposes. According to the technology giant, these collaborations are not only intended to acquire high-quality data, but also to use such data to broadly improve their AI products and services.