America’s major AI companies, including Google and Microsoft, have agreed to submit all new AI models to the Federal government’s Commerce Department for a national security safety review/ This review will be conducted by the Commerce Department’s Center for AI Standards.
AI Watch
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Over the past decade, the Left has cultivated a censorship industrial complex of “experts” on “extremism” who try to bully Big Tech and corporate America into blacklisting conservatives over hot-button cultural issues such as LGBTQ+ orthodoxy and parental rights.
While the censorship industrial complex has suffered setbacks, it enjoys a persistent influence—notably at Anthropic, the major AI company behind the chatbot Claude.
Anthropic openly touts its relationship with four branches of the censorship industrial complex, and each of them has ties to the Southern Poverty Law Center.
The SPLC, the left-wing smear factory that pioneered the censorship strategy, now faces federal charges for allegedly lying to banks while attempting to conceal payments to members of the Ku Klux Klan, but Anthropic is not reconsidering its work with the SPLC’s allies.
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The Trump administration, which took a noninterventionist approach to artificial intelligence, is now discussing imposing oversight on A.I. models before they are made publicly available.
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The debate over regulating artificial intelligence usually focuses on two competing visions. In Europe, lawmakers are writing detailed rules that govern how AI can be developed and used. In the United States, policymakers are taking a lighter touch, allowing companies, investors and consumers to shape the technology’s future.
But a new analysis from students at the University of Florida identifies a third force quietly shaping the future of AI in America: the courts.
As AI spreads faster than any previous technology, judges and juries are being asked to resolve disputes. In doing so, they are not simply applying existing laws—they are, case by case, defining what responsible AI use looks like. The result is a distinctly American form of AI governance: one built through the give and take of negotiations and legal processes rather than legislation.
So far, courts have mostly resisted treating AI as something fundamentally new. Instead, they have folded AI into existing legal doctrines, focusing on the humans and institutions behind the technology.
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Nature has retracted a paper that claimed AI had a positive impact on student learning.
The original paper, titled “The effect of ChatGPT on students’ learning performance, learning perception, and higher-order thinking: insights from a meta-analysis,” was originally published in May of last year by Jin Wang and Wenxiang Fan of the Hangzhou Normal University in China. It is a meta-analysis, meaning it combines data from 51 research studies published between November 2022 and February 2025 on the effectiveness of ChatGPT in education. The paper claimed it found that ChatGPT had a large or moderately positive impact on “students’ learning performance, learning perception, and higher-order thinking.”
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Start with what might be called the epistemic layer—how we come to know things. People are increasingly relying on AI to know what is true, what is happening, and whom to trust. Search is already substantially AI-mediated. The next generation of AI assistants will synthesize information, frame it, and present it with authority. For a growing number of people, asking an AI will become the default way to form views on a candidate, a policy, or a public figure. Whoever controls what these models say therefore has increasing influence over what people believe.
Technology has always shaped the way citizens interact with information. But a new problem will soon arise in the form of personal AI agents, which can change not only how people receive information but how they act on it. These systems will conduct research, draft communications, highlight causes, and lobby on a user’s behalf. They will inform decisions such as how to vote on a ballot measure, which organizations are worth supporting, or how to respond to a government notice. They will, in a meaningful sense, begin to mediate the relationship between individuals and the institutions that govern them.
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Researchers at the University of Oregon have developed an artificial intelligence tool that can read genetic code the way large language models like ChatGPT read text. Scanning the genome for biological mutation patterns, the computer model traces pairs of genes back in time to their last common ancestor.
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China controls 99 percent of the world’s primary gallium, a critical mineral and semiconductor crucial for building the microchips of the future. In 2023, it placed export controls on gallium to retaliate against American restrictions on the export of advanced chips to China. In December 2024, China escalated to an outright ban on gallium exports to the United States. The U.S. National Defense Stockpile had zero gallium reserves when that ban landed.
The United States has been here before. The United States pioneered and scaled modern silicon semiconductor infrastructure. A significant reliance on international manufacturing and the loss of domestic silicon dominance reflect a failure to recognize the importance of industrial capacity to national security. With silicon, the intellectual property was American, but the chips were “Made in Taiwan.” If similar blind spots persist, the United States risks repeating this failure with gallium nitride, a wide-bandgap semiconductor that outperforms silicon at high voltage, high frequency, and extreme temperatures. It’s the beating heart of every modern radar and electronic warfare system.
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As major artificial intelligence breakthroughs arrive on what seems to be a near-weekly basis, the race between the US and China continues to intensify. In this post and the next, we will examine the good and bad news for the prospects of American triumph in the battle for AI superiority, a skirmish that could well determine the future of global innovation.
Let’s start with the bad news.
Last week, I attended a hearing of the House Select Committee on the Chinese Communist Party entitled “China’s Campaign to Steal America’s AI Edge.” Chairman John Moolenaar (R-MI) opened the proceedings by asserting that “China’s smuggling of advanced AI chips is a pervasive threat facing law enforcement” and observing that “just last month, the Department of Justice announced a $2.5 billion chip smuggling case, which would be the largest export control violation in US history.”
Moolenaar then asked, “Why is China so desperate to acquire US-designed chips? The reason is obvious. AI is a truly transformative technology. It’s already changing how we fight wars, run our government, and operate companies.” Critically, the chairman contended, “it is essential for the United States to maintain a decisive lead in the AI race. We cannot afford a future where Beijing dominates this technology.”
At the hearing, Dmitri Alperovitch, the founder and chairman of the Silverado Policy Accelerator, echoed Moolenaar, arguing that “we are in a race, and the stakes could not be higher. Artificial intelligence will transform every industry, every battlefield, and every government.” Critically, Alperovitch asserted, “whoever fields the best models running on the best infrastructure will likely win not just the AI race itself but the 21st century. The single most important input to winning is compute—the processing power used to train and run AI models.”
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Federal officials are scrambling after a powerful new artificial intelligence (AI) model demonstrated the ability to hack virtually every major operating system and web browser, triggering urgent warnings from top government and financial leaders.
AI giant Anthropic’s new system, known as “Mythos,” is being kept under tight restrictions.
However, insiders say the threat is already serious enough that the U.S. government is racing to understand it before it’s too late.
Treasury Rushes to Access High-Risk AI
According to reports, the U.S. Treasury Department is urgently seeking access to Anthropic’s restricted model