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first_img The U.S. Department of Defense has been reported to request OpenAI to provide a special version of AI with the "lowest rejection rate" for military commands

Documents obtained by The Intercept through a lawsuit under the Freedom of Information Act show that the U.S. Department of Defense once requested OpenAI to provide a version of artificial intelligence specifically tailored for the military, with a "very low refusal rate" for commands. This statement appeared in the updated contract for the 2025 prototype agreement "P00003," which is a two-year agreement worth up to $200 million, covering logistics, intelligence decision-making, and operational uses. OpenAI, Google, xAI, and Anthropic all agreed to develop such militarized prototypes in 2025.OpenAI spokesperson Nate Evans stated that the company never agreed to contract terms that included a "very low refusal rate," and the relevant documents were early drafts from the Department of Defense, with the final executed contract not containing that statement. Department of Defense spokesperson Jacob Bliss also indicated that the phrase did not appear in any current contracts. The Intercept pointed out that the documents obtained were not marked as drafts; a Department of Justice lawyer representing the Pentagon once confirmed that the document was a signed executed version, but later requested to disregard that confirmation and stated that further investigation was needed.The latest contract signed on February 27 allows OpenAI services to be deployed on military classified networks, with similar delivery terms completely redacted. OpenAI stated that it has drawn a red line regarding autonomous killing and surveillance of Americans, but the contract text allows the government to determine any use as legal.

first_img OpenAI Chief Scientist says AI may continue to rise rapidly to recursive self-improvement

OpenAI Chief Scientist Jakub Pachocki published an article titled "An Alien Mind" on September 6, 2026. The article reviews the results of the RLSlow research project, which emerged in mid-2023, demonstrating the first scalable training of reasoning models. It states that three years later, reasoning language models have become part of rapid economic growth, beginning to push scientific boundaries, capable of operating computers and graphical interfaces, collaborating with humans and other AIs on research projects, while also changing the landscape of computer security and introducing new dangers.The author anticipates that the current pace of progress may continue towards recursive self-improvement based on internal results. If AI development continues along the current path, systems may experience equivalent or greater leaps in capability in the coming years, increasingly driving their own development. The author calls for extreme caution, believing that no one is prepared to deal with the consequences of the rapid rise of machine intelligence. OpenAI will continue to seek technical solutions for alignment and monitoring, build defensive systems, and unilaterally halt further scaling when necessary, but believes broader intervention is needed.The article states that machine intelligence is primarily driven by increased computational power, with AI growing more than being designed. In terms of alignment, it distinguishes between goal alignment and value alignment, with the core challenge being generalization. GPT-6 Astra shows significantly better alignment than GPT-5.6 Sol, but more progress is still needed. In monitoring, the focus is mainly on chain-of-thought monitoring, with assessments showing that reliance on capabilities is gradually weakening. In terms of scalable defense, models are becoming superhuman in breaking into computer systems, currently in a narrow window where using the best available models significantly enhances the security of critical systems.

first_img Ripple has reached a multi-year partnership with the University of Florida, and the XRP logo will appear on the field

Ripple has reached a multi-year marketing partnership with the University of Florida, and the XRP logo will appear at Ben Hill Griffin Stadium, on digital platforms, and on Gainesville event branding starting this football season. The University of Florida Athletic Department officially announced the news on Friday.In addition to brand exposure, Ripple has also committed to providing financial and technological education support for University of Florida student-athletes and the broader campus community, covering both traditional finance and digital assets. University of Florida Athletic Director Scott Stricklin stated that Florida has a long history of embracing innovation and technology, and Ripple has become an innovative leader in the fintech space, looking forward to XRP joining Gator Nation.This is Ripple's latest foray into college sports marketing, having previously signed a multi-year agreement with the University of Kansas earlier this year to feature the XRP logo on Jayhawks basketball team jerseys. At the time of the announcement, the price of XRP was approximately $1.41, up 0.6% in 24 hours, and up about 34.9% over the past 30 days, but still down about 49.8% over the past year. Additionally, demand for spot XRP ETFs has recently cooled, with fund flows remaining flat on September 4, with a cumulative net inflow still around $1.6 billion.
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