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Social network X is rolling out access to xAI\u2019s Grok chatbot to Premium tier subscribers after Elon Musk announced the expansion to more paid users last month<\/a>. The company said on its support page<\/a> that only Premium and Premium+ users can interact with the chatbot in select regions.<\/p>\n Last year, after Musk\u2019s xAI announced Grok, it made the chatbot available to Premium+ users \u2014 people who are paying $16 per month or a $168 per year subscription fee. With the latest update, users paying $8 per month can access the chatbot.<\/p>\n Users can chat with Grok in a \u201cRegular mode\u201d or a \u201cFun mode\u201d. Just like any other Large Language Model (LLM) product, Grok shows labels indicating that the chatbot would return inaccurate answers.<\/p>\n We have already seen some examples of that. Earlier this week, X rolled out a new explore view inside Grok where the chatbot summarizes trending news stories. Notably, Jeff Bezos and NVIDIA-backed Perplexity AI also summarize news stories<\/a>.<\/p>\n However, Grok seems to go one step further than just summarizing stories by writing headlines. As Mashable<\/a> wrote, the chatbot wrote a fake headline saying \u201cIran Strikes Tel Aviv with Heavy Missiles.\u201d<\/p>\n Musk likely wants more people to use Grok chatbot to rival other products such as OpenAI\u2019s ChatGPT, Google\u2019s Gemini, or Anthropic\u2019s Claude. Over the last few months, he has been openly critical of OpenAI\u2019s operations. Musk even sued the company in March over the \u201cbetrayal\u201d of its non-profit goal<\/a>. In response, OpenAI filed papers seeking the dismissal of all of Musk\u2019s claims<\/a> and released email exchanges between the Tesla CEO and the company.<\/p>\n Last month, xAI open-sourced Grok but without any training data details<\/a>. As my colleague Devin Coldewey argued, there are still questions about whether this is the latest version of the model<\/a> and if the company will be more transparent about its approach to the development of the model and information about the training data.<\/p>\n<\/p><\/div>\n