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Musk creates rival to Wikipedia, launch timeline announced

Musk creates rival to Wikipedia, launch timeline announced Photo: Elon Musk (Getty Images)
Author: Oleh Velhan

American billionaire and xAI founder Elon Musk has announced the launch of a new platform called Grokipedia, which aims to compete with the online encyclopedia Wikipedia, according to the businessman’s post on the social media platform X.

Musk said that Grokipedia "is going to be the world's biggest, most accurate knowledge source, for humans and AI with no limits on use."

According to him, the platform, built on the Grok artificial intelligence model, will use computational power to analyze sources such as Wikipedia pages and determine "what is true, partially true, false, or missing."

The system will then rewrite those pages, removing false information, correcting half-truths, and adding important missing context.

"Grokipedia will become the true knowledge source because it's built solely for the truth and to navigate to the truth... free from bias or hidden agendas," Musk said.

According to the project’s developers, Grokipedia "seeks maximum truth through first principles and physics." It aims to replace the partially concealed narratives of traditional media by rewriting them with a complete and accurate context that cuts through information noise.

"This will combat the evil organizations and the evil minds that operating under the hood and who've poisoned minds for decades with endless fake news and distorted narratives through legacy media and Wikipedia, causing immense harm to young minds and manipulated the world long enough," the developers wrote.

The beta version of Grokipedia is expected to go live in two weeks.

Musk first announced the launch of Grokipedia on October 1.

Meanwhile, according to Forbes, Elon Musk’s total net worth is estimated at half a trillion dollars.

Earlier this summer, the Grok chatbot published controversial statements by Musk regarding Adolf Hitler and the Holocaust. The company later implemented additional content filtering measures.