OpenAI Rejects ChatGPT Application for Political Use by DC Company

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OpenAI, a Silicon Valley startup, recently informed a prominent Washington, D.C. data company, FiscalNote, that it could not advertise using its ChatGPT technology for politics. FiscalNote had previously touted its use of ChatGPT for the multi-billion dollar lobbying and advocacy industry, as well as “enhancing political participation,” in a press release.

This prompted OpenAI to act on the matter. As a result, the contentious lines in the press release were removed, and an editor’s note was added that clarified that ChatGPT could only be utilized for “grassroots advocacy campaigns.” FiscalNote relayed that it never meant to violate any of OpenAI’s rules, and that it had proceeded to delete the text from the press release to avoid any further confusion.

FiscalNote is a leading data provider for Washington lobbyists and policy advocates, who rely on their elaborate algorithms and software to establish relationships between meaningful legislation and industry trends. With an emphatic emphasis on government transparency and accountability, its integrated software and data solutions are used to craft insightful analysis that can help political operations.

The company is headed by Tim Hwang, a renowned venture capitalist and entrepreneur. His pioneering approach to businesses is credited to his successes, from founding FiscalNote to becoming the Director of Regulatory Affairs at the X-Lab in Stanford. He was also named one of Forbes’ “30 Under 30” for his innovative accomplishments in the world of technology, science, and finance.

See also  Rewritten title: Unveiling the Patterns in Sequences of ChatGPT Rephrased article: Discovering the patterns in sequences of ChatGPT has become the latest topic of discussion among experts. The evolution of ChatGPT has led to various revelations, with researchers finding new ways to analyze these sequences. This exploration of patterns has created new avenues for research and opened up new doors for innovation. With recent advancements in technology, researchers can now expand their analysis to uncover even more of these patterns. By doing so, they can provide more accurate insights into the intricacies of ChatGPT.

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