OpenAI CEO Sam Altman claimed that training AI models does not require vast quantities of data from publications like The New York Times, following the ongoing copyright infringement fight between the two. 

Read Also: Thomson Reuters Enters Discussion With AI Firms to License Media Content

OpenAI vs. The New York Times 

During the World Economic Forum, Altman debunked the general belief that training AI models, like ChatGPT, require a huge amount of data. He also stated that not all material is automatically valuable for training. 

"Actually, that is generally not the case. We do not want to train on the New York Times data, for example," the CEO shared. 

Before entering a new year, The New York Times made headlines for suing both Microsoft and OpenAI for alleged billion-dollar damage over copyright infringement. In response, the AI company argued that the publication manipulated the ChatGPT results to justify the lawsuit. 

OpenAI Opens Partnership With Other Publishers 

On the other hand, the company is currently discussing with major publications like CNN, Fox, and Time to strike a licensing deal for their news content. Altman also revealed that while some companies are open to partnering with them, some people don't. 

"What we want to do with publishers - if they want - is when one of our users says, what happened at Davos today, we'll be able to say, here's an article from Bloomberg, here's an article from the New York Times," he explained. 

As of writing, OpenAI has successfully entered agreements with the Associated Press, allowing them access to the company's archives. Meanwhile, Alex Springer SE had struck a three-year deal with the AI company. 

Related Article: OpenAI in Talks with Publishers to License Contents for Over $1 Million Per Year