The goal of the collaboration is to increase ChatGPT's capabilities and knowledge of the latest events and information in real-time.

In the agreement, Axel Springer will provide summaries and excerpts of its reports to OpenAI as well as news articles from major publications like Politico, Business Insider, BILD, and WELT. OpenAI intends to utilize the content to improve its AI systems and also provide pertinent Axel Springer articles to ChatGPT users who ask questions related to the latest news.

The summaries that are provided to ChatGPT will include attribution to the complete Axel Springer articles, essentially creating publicity and traffic for the publisher. ChatGPT users can also ask ChatGPT questions that refer to the details that are shared across all of the German Media conglomerate's journalistic brands.

OpenAI as well as Axel Springer bring news to ChatGPT

The partnership appears to be aimed at solving one of the major complaints about ChatGPT -- the inability to keep up-to-date information on the latest happenings. The new xAI services like the Grok chatbot have more current information by utilizing the social media information streams. Through licensing archived and recent media content from major newsrooms OpenAI hopes to surpass and match the capabilities of these services.

The Springer agreement builds on previous OpenAI collaborations together with Associated Press and American Journalism Project to develop AI models based on journalism. As OpenAI is still facing questions about copyright infringement when scraping content without permission and licensing agreements with large publishers offer legal protection -however, they also face criticism regarding fairness and compensation to smaller sources.

Although the partnership offers an obvious financial benefit to Springer however, there are questions about whether it's ethically acceptable for OpenAI to sign such agreements with major publishers, while scraping content from creators who are independent and refusing the right to compensation. Finding the right balance in the source of training data remains to be a difficult task for even the best-funded AI firms.