OpenAI CEO Sam.Altman(Sam Altman) clarified via social media platform X on January 20 that, despite the company's longstanding commitment to developing general-purpose artificial intelligence that is smarter than humans (AGI), but this has not yet been achieved. This statement is intended to respond to recent rumors of an upcoming AGI for OpenAI.
"The social media hype is once again out of control.We won't be launching AGI next month, and we haven't built AGI." Altman posted on X and called for expectations to be "100 times lower."
1AI notes that Altman seems to be somewhat responsible for the hype. On January 6 of this year, he had said in a blog post that OpenAI already knew how to build AGI and planned to launch it this year. "We are now confident that we know how to build AGI in the traditional sense. we believe that in 2025, the first AI agents will 'join the workforce' and dramatically change business output." Altman wrote in a blog post. He also emphasized that OpenAI's goal is to develop "true superintelligence" to drive industry change and accelerate scientific innovation.
"We love what we have, but we're even more excited about the glorious future." Altman wrote in his blog, "Superintelligent tools could dramatically accelerate scientific discovery and innovation beyond our own capabilities, thereby dramatically increasing the prosperity and abundance of society."
In a mission statement posted on its website in 2023, OpenAI said its goal is to build AGI for the benefit of humanity; however, the company also acknowledged that there are "significant risks" associated with the technology.
"We want AGI to empower humanity to maximize its prosperity in the universe. We don't think the future will be a flawless utopia, but we want to maximize the positive impact, minimize the negative impact, and make AGI an amplifier for humanity." OpenAI said.
Nonetheless, a number of prominent figures, including Elon Musk and Geoff Hinton, known as the "Godfather of AI," have expressed concern about the direction and potential risks of current AI research.
