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Chris Fall, the director of the Center for AI Standards and Innovation (CAISI), has resigned, the agency confirmed<\/a> to multiple news outlets.<\/p>\n He was appointed just three months ago after the last appointee, Collin Burns, left in less than a week, The Washington Post reported<\/a> at the time. Burns was reportedly \u201cpushed out\u201d of the job in April because he previously worked for Anthropic and the Trump administration had been battling with the company, sources told the Post.<\/p>\n No reason was given for Fall\u2019s departure. Prior to leading CAISI, Fall was the director of the Department of Energy\u2019s Office of Science during the first Trump administration and had been the acting director of the DOE\u2019s Advanced Research Projects Agency-Energy. He worked in the DOE\u2019s Office of Naval Research (ONR) prior to that.<\/p>\n Before Burns and Fall, the agency was led by venture capitalist David Sacks, whose title at the time was White House AI and crypto czar. Sacks stepped down in March.<\/p>\n CAISI, which operates under the National Institute of Standards and Technology, is the primary organization for developing technical standards and testing methods for AI models as well as assessing cybersecurity risks. Yet it was not the agency at the center of the most recent model-risk brouhaha.<\/p>\n That occurred in June when the U.S. Commerce Department\u00a0invoked an obscure export control directive that effectively forced Anthropic to pull its Mythos and Fable models from the market. The ban was lifted by the end of the month<\/a>, when Secretary of Commerce Howard Lutnick said he was satisfied with Anthropic\u2019s safety plans.<\/p>\n Earlier this month, the White House also signed an executive order<\/a> for a new AI safety oversight program called \u201cGold Eagle\u201d that creates a clearinghouse for cybersecurity vulnerability coordination. A host of federal organizations were named as part of the program, including the Commerce Department\u00a0and Department of Homeland Security. But, as CNBC pointed out, CAISI was not among the federal organizations mentioned.<\/p>\n Meanwhile, after Anthropic\u2019s models were freed from the ban, Google DeepMind CEO Demis Hassabis began calling for the creation of an independent, industry-run standards body<\/a> to regulate frontier AI modeled after FINRA \u2014 the same sort of mission that CAISI was formed to tackle.<\/p>\n Fall\u2019s resignation also follows this weekend\u2019s handwringing over Chinese AI lab Moonshot\u2019s<\/a> new version of its\u00a0open model Kimi, which performed competitively against flagship frontier models. The administration was weighing efforts to somehow ban Chinese open models, Axios reported<\/a>. This sparked immediate debate and outrage over the weekend, including from Sacks<\/a>, who argued that regulations shouldn\u2019t be used as a protectionism strategy for U.S. proprietary AI labs.<\/p>\n While CAISI has released a few reports on the capabilities of Chinese open-weight models Z.ai\u2019s GLM-5.2 and DeepSeek V4 Pro, it hasn\u2019t talked much about its processes for testing. (Open weight means these models can be publicly downloaded and run locally, but its training code and datasets are not available). Since July 9, TechCrunch has sent multiple inquiries to both the DoC and NIST about how its LLM evaluations work and has not received a response.<\/p>\n<\/div>\n When you purchase through links in our articles, we may earn a small commission<\/a>. This doesn\u2019t affect our editorial independence.<\/em><\/p>\n