AI Watch

WATCH: President Trump Calls Nvidia CEO Live Onstage And Torches The AI “Doomer” Campaign– wltreport.com
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President Donald Trump speaks by phone aboard Air Force One. Official White House photo by Shealah Craighead.

President Trump turned a live tech interview into a must-see political moment Monday when he called Nvidia CEO Jensen Huang in the middle of Huang’s appearance at the All-In Summit in Los Angeles.

Huang put the call on speaker. The president then delivered a blunt message to a room packed with technology leaders: America cannot let fear, red tape, or a wave of AI doomsday predictions hand the future to China.

The full exchange shows Trump joking with Huang before driving straight into the fight over AI, data centers, and American leadership:

Trump said the idea that robots are about to take over the world has been turned into a political and economic “hoax.” He argued that the people pushing America to slow down are giving Beijing exactly the opening it wants.

“The happiest group is China,” Trump told the room. He warned that American companies are already looking abroad when permitting and infrastructure obstacles make major projects harder to build here at home.

Data Centers Are About To Burn More US Natural Gas Than Almost Every Country On Earth– dailycaller.com
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American data centers are on track to consume more natural gas than nearly every country in the world within the next decade as the artificial intelligence boom drives electricity demand higher, according to a new BloombergNEF outlook.

Natural gas consumption used to generate electricity for U.S. data centers is projected to increase by 15 billion cubic feet per day through 2035, according to BloombergNEF. The projection accounts for the possibility that many data center projects currently planned across the country will never be built.

“In short, the resource base and producer response are sufficient, but the mix would shift toward higher-cost dry-gas drilling, supporting moderately higher gas and electricity prices than a high-oil-price, high-associated-gas world,” Stuart Turley, president and CEO of the Sandstone Group and host of the Energy News Beat podcast, told the Daily Caller News Foundation.

The additional demand alone would exceed the amount of natural gas currently consumed by every country except China, Russia, Iran and the United States, according to data from the U.S. Energy Information Administration

Trump Slams Anthropic CEO Who Sounded Alarm About AI Threats– www.dailysignal.com
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President Donald Trump wrote off calls for guardrails on artificial intelligence in a Monday Truth Social post, slamming Anthropic CEO Dario Amodei for sounding the alarm on the dangers posed by rapidly developing AI.

“The only control or ‘guardrails’ that AI needs is a STRONG AND SMART (High IQ!) PRESIDENT, and the U.S.A. has that, in spades!” Trump said. “The Trump Administration has stopped AI ‘people’ from doing bad, or potentially bad, ‘things,’ like Dario (Anthropic!), who is now pretending to be a ‘perfect little angel’ – and we will continue to do so!”

Over the weekend, Amodei wrote that “we must slow the pace at which we improve the capabilities of AI models.”

“Progress will still seem fast, and we must make wise use of the time we gain,” he said.

Fears about the future of AI have been boiling up after Anthropic employee Jacob Coxon resigned from Anthropic, saying “We’re on track for a lot of the most aggressive of these scenarios where by the end of next year things could be out of control already.” Another Anthropic employee, Evan Hubinger, chimed in that “We really do earnestly believe AI could kill all humans!”

AI Doomerism and Who Is Behind It– gellerreport.com
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Why would we deliberately handicap ourselves while Communist China races ahead—weaponizing artificial intelligence for military power, mass surveillance, cyberwarfare and global domination? If these executives truly believe their technology poses an existential danger, they should stop selling advanced chips, systems and expertise to China—not demand a Washington regulatory fortress that protects their market share, crushes smaller competitors and leaves Beijing free to surge ahead. The answer is not an American retreat; it is American victory: accelerate innovation, secure our technology, impose strict safeguards against the dangers they warn about and deny our enemies the tools to surpass us. China will not pause. America must not unilaterally disarm in the most consequential technological race of the century.

America cannot surrender the future because a handful of AI executives have discovered that apocalypse is good for business.

Scammers are teaching AI to sound like you, and research says our brains are falling for it– www.digitaltrends.com
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The next scam call you receive may not sound like a robot, a call center, or even someone pretending to be your relative. AI voice generators have become capable of reproducing regional accents and dialects that sound convincing enough that researchers are warning they could become a potent social-engineering tool.

For example, a scammer could use an accent familiar to a targeted community to make a suspicious call sound considerably more trustworthy.

Research from Abertay University examined synthetic versions of Scottish Standard English and Dundonian Scots, a regional dialect spoken around Dundee. The study found people frequently assumed AI-generated speech was human, with that bias becoming even more concerning when regional dialects come into the conversation, which isn’t something people expect a machine to reproduce.

Another 2026 study, published in the Journal of Marketing Research, points to why that matters for scams. Researchers analyzed 7,002 entrepreneur-investor combinations from Shark Tank, 2,091 Kickstarter campaigns, and several laboratory experiments.

Africa could be the next major AI infrastructure frontier, analyst says– www.foxnews.com
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Africa could become the next major frontier for data centers and Artificial Intelligence, experts say.

The Trump administration is backing and promoting American companies to make AI development, in their words, ‘the gold standard’. The U.S. is trying increasingly to grab business opportunities in Africa, as backlash and environmental restrictions hit data center development in the U.S. and Africa.

“Africa is emerging as a significant potential location for building AI infrastructure, especially as many mature markets face increasing environmental and power constraints,” Abhishek Goyal, Consultant at specialist research group Arizton Advisory & Intelligence, told Fox News Digital.

Rendering of U.S. company Cybastion’s projected data center in the Ivory Coast, West Africa. The U.S. Embassy in Abidjan helped facilitate a $170m contract with the government of the Ivory Coast which includes the provision of the data center. Image credit: (Cybastion)

He added, “The continent could become the next major frontier for AI infrastructure development. As the U.S. and Europe encounter challenges such as power scarcity, grid congestion, permitting issues and environmental regulations, Africa’s underdeveloped infrastructure presents an opportunity rather than a disadvantage.”

UN calls for ‘urgent action’ to rein in AI in face of ‘unprecedented risks’– www.channelnewsasia.com
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GENEVA: The United Nations rights chief called on Monday (Sep 14) for countries and “frontier” artificial intelligence companies to act urgently to rein in a technology he warned posed “unprecedented risks”.

In a letter sent to countries and AI developers and shared with the media, Volker Turk cautioned that the world was “on the cusp of irreversible change, affecting not just us but generations of humanity to come”.

“The current race towards ever more powerful AI is a step change towards greater existential risks to every aspect of our lives.”

He sent the letter at a time when worries over the risks of “superintelligent” computer systems have been on full display, after a researcher publicly resigned from leading AI firm Anthropic over fears that the technology could escape human control.

Another Anthropic employee, who did not resign, stated publicly that “we really do earnestly believe AI could kill all humans”, and that he thought the chances were greater than “10 per cent within the next decade”.

Universities are embedding DEI concepts into AI programs, watchdog warns– www.thecollegefix.com
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Schools embed ‘algorithmic bias,’ ‘social good,’ ‘equity’ into AI initiatives

Programs at colleges and universities are incorporating diversity, equity, and inclusion, or DEI, principles into artificial intelligence research and education, a watchdog group report found.

The Defending Education investigation highlights AI hubs at schools, including the Massachusetts Institute of Technology, the University of California Berkeley, Columbia University, Virginia State University, and Morgan State University. Defending Education argues that these programs could influence how AI is developed and used as educators increasingly adopt the technology.

According to the watchdog group, some universities embed concepts such as “algorithmic bias,” “social good,” and “equity” into their AI initiatives.

“Algorithmic bias is associated with the claim that AI systems are typically created by white or Asian men, and as a result, the answers that AI systems may provide to students or educators will be influenced by these specific white and Asian men who created them,” Defending Education states.

For example, the UC Berkeley AI Research Lab hosts an initiative that aims to “to drive critical research, innovation and collaboration towards responsible and equitable AI.”

Microsoft releases ‘Humanist AI’ code of conduct– www.washingtonexaminer.com
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Microsoft released a draft of its “Humanist AI” code of conduct on Monday as the top leaders in artificial intelligence call for slower development of the technology.

The preliminary guidelines published by Microsoft essentially state that AI models should remain under human control, and that any models that cannot be contained must be rejected.

The central issue in a majority of contested U.S. House and Senate Races is becoming Data Centers. At a time when one party, the Democratic Party, is looking to convert America to the Progressive State, Americans are more concerned over data centers than losing their constitutional rights.

Republicans find themselves on the losing end of this issue with one candidate, Senator John Husted of Ohio, reflecting the new Republican strategy, join the fight against the data centers. He said “They’ve earned that backlash. They haven’t been as forthcoming about the benefits that will come in terms of local jobs and construction worker jobs and reduced property taxes, and they haven’t offered things like paying the energy bills for local communities, for the power plants they build.”

Seems Like Every Single Political Race Centers Around Single Issue Of Data Centers– dailycaller.com
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Data centers are all the rage in the 2026 midterm election cycle. Whether a candidate currently supports or has previously supported data centers and corporate subsidies for AI and tech companies has quickly become a potent attack line in several high-profile races across the country.

In two swing-state Senate races, data centers have become a massive issue, leaving several candidates vulnerable to attacks resurfacing their tech-friendly pasts.

Former Democratic Ohio Sen. Sherrod Brown, who once celebrated Amazon Web Services’ investments in Ohio, has attempted to portray his opponent, incumbent Republican Sen. Jon Husted, as “the face of data centers.” Brown has flooded the airwaves with millions of dollars of ads targeting Husted’s previous support for data center tax breaks while he served as Ohio’s lieutenant governor. Husted is now going after data centers and AI companies, accusing them of doing “a terrible job of talking about the value and virtue of it.”

“They’ve earned that backlash,” Husted said in late July. “They haven’t been as forthcoming about the benefits that will come in terms of local jobs and construction worker jobs and reduced property taxes, and they haven’t offered things like paying the energy bills for local communities, for the power plants they build.”

Anthropic is claiming it has prevented multiple attempts by bad actors to use Claude AI to execute terrorist actions. The attempts included kamikazie drone swarms and biological weapons.

They posted on their X account, “We’re publishing our most detailed threat intelligence report to date. It covers how people tried to misuse Claude—for cyberattacks, influence operations, surveillance, biology, and building weapons—and how we found and stopped them. We disrupted every operation in the report…”

Anthropic Reveals How It Stopped ‘Kamikaze Drone’ Swarms, Biological Weapons And More– dailycaller.com
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Anthropic unveiled its latest report detailing how it stopped bad actors from using its Claude artificial intelligence (AI) models for malicious activity.

Cases ranged from fake dating apps designed for fraud to surveillance systems meant to track dissidents, according to Anthropic’s Threat Intelligence Report. The report states that bad actors include “suspected state-sponsored groups, financially motivated criminals, commercial spyware vendors, state propaganda institutions, and politically motivated individuals.”

Anthropic emphasized that bad actors used Claude Haiku, Sonnet and Opus for malicious purposes and that its frontier models, Fable and Mythos, were not involved, save for one instance of trying to steal AI model data through a process known as “distillation.” (RELATED: China’s Hottest AI Company Accused Of Stealing Anthropic Data In ‘Covert’ Plot)

China is working on developing an AI-run robot army equipped with humanoid “soldiers” with AI brains. Reuters is claiming that an investigation of their procurement records reveal the army is already being built. They claimed they reviewed “more than 100 Chinese military procurement notices, academic studies, patents, official publications, government records and defense-company materials.” This led them to conclude China is building an AI robot army.

China Is Actively Preparing a Humanoid Robot Army for Future Battlegrounds › American Greatness– amgreatness.com
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China is aggressively developing an AI-driven, highly advanced military robotics program that could see automated humanoid robots for active combat roles on future battlefields.

The Daily Wire reports that the Communist Chinese government is carefully eyeing technology that was showcased at the recent World Humanoid Robot Games.

The People’s Liberation Army’s official newspaper, on Monday, called for a move to develop combatant capabilities in the humanoid robots that danced, ran, and boxed at the games.

Students who use AI every day may be falling behind, while moderate users pull ahead– www.digitaltrends.com
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I assumed more AI access might help students learn faster. However, a new OECD study dispels that misconception for me and everyone else who gave their children a paid version of AI chatbots, thinking it would help them through their educational journey. 

According to PISA 2025 data from 760,000 students in 91 countries, students who use AI daily score meaningfully worse on standardized tests than their peers. The full picture is more complicated than a simple ban would fix.

So what exactly does the data show?

Daily AI users trail their peers by up to 28 points on science tests. The gap, per the research, is equivalent to roughly a year and a half of schooling. However, don’t rush into believing that less AI use is automatically better. 

Students who use AI once or twice a week outscore both daily users and those who don’t use it at all. Those who’re using it to learn something are apparently performing better than those who use it to finish tasks faster. 

Students regularly asked to critique AI-generated answers in class saw science scores climb 13 points, which is about half a year of additional progress.

Why does heavy use backfire?

OECD’s Andreas Schleicher (via Bloomberg) frames the difference in a simplified manner. AI is most beneficial when it supports some mental effort. That could be learning something new or how to do something, rather than getting it done. 

A staggering 86% of students use AI for schoolwork at least once a year. However, their usage varies wildly by region. For instance, nearly 40% of Japanese students say they rarely touch it versus just 4% in Vietnam. 

Related policy frameworks are catching up fast, too. New York City just banned AI tools for elementary and middle schoolers. MIT says it needs to redesign coursework, especially since AI can complete most undergraduate assignments. 

If you’re a student reading this, using AI-powered chatbots like ChatGPT, Claude, or Gemini to learn new concepts, ask follow-up questions, and use it as a superhuman professor is the right approach. 


Trump says voters who oppose data centers will ‘kill the Golden Goose’– www.washingtonpost.com
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President Donald Trump attacked voters who oppose data centers Monday morning, warning that they will have only themselves to blame if they “kill the Golden Goose.”

Trump escalated his defense of data centers as polls show Americans from both political parties are increasingly opposed to the server farms central to the artificial intelligence boom. Some Republicans running for office this year have broken with Trump and grown increasingly critical of data centers in response to the groundswell of public opposition.

If You’re Using AI To Replace Discipleship, You’re A Bad Pastor– thefederalist.com
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PreacherBot ain’t got no soul.

But people really want him — or rather, it — to have one. This is bad, as was demonstrated by a recent New York Times profile of Justin Lester, a California Bay Area pastor who has created an AI “twin” of himself using “almost two million words of his sermons, podcasts, books, text messages and emails.” This AI facsimile is “available on his website and Facebook page for online chats or phone calls … to provide advice around the clock.”

Lester is not the first to do something like this — a Catholic parish in Switzerland even installed AI Jesus in a confessional for a while — and he won’t be the last, in part because he is encouraging and assisting other pastors in following his lead. And though his efforts are concentrated among historically black Baptist churches, everyone from Catholics to Pentecostals to Presbyterians will be tempted to create a PreacherBot of their own.

The incentives are simple: There are not enough pastors, and pastors don’t have enough time. As his life and ministry got busier, Lester, a longtime tech enthusiast, turned to AI, first as an assistant, then as a substitute. He won’t use AI to write his sermons, but otherwise he adopted AI as a way to multiply his ministry, first by using it to handle some mundane tasks, and then by multiplying himself via an AI doppelganger that is always available for in-depth conversations, even with “people he’d never met who had questions he’d never been asked.” He thought this AI “twin” captured not only his views but also his voice, and he became comfortable with it dispensing advice in his image.

But using AI in this way seems to further increase the distance between Lester and his congregation. For instance, The New York Times related that “he shook a young woman’s hand after church and then watched her walk to the car and begin chatting on her phone with his digital twin.” In this case, Lester’s efforts to expand his pastoral role shrunk it, as a congregant who could have taken time with him in person instead turned to the ersatz digital self he had commissioned. Yet he still pushes other pastors to build PreacherBots of their own.

Meta’s plans to replace workers with AI fell flat, report says – Computerworld– www.computerworld.com
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Earlier this year, Meta, one of the industry’s loudest AI advocates, was ready to slash up to 60% of the members of some teams and replace them with AI, as part of what it called Project OT (Organization Transformation), an initiative to make Meta “AI native.”

But it backed off at the last minute after internal data showed that the plan wasn’t working out, according to a Reuters investigation published Wednesday. For example, Reuters said, code changes made to the internal software platforms and infrastructure that employees used on the job were up 220% year-over-year, according to an early June post by Meta CTO Andrew Bosworth, yet changes that led to new or upgraded features reaching Meta users were only up 36%.

Meta executives also saw “’reliability warning signs’ caused by the AI coding surge,” according to an internal post, Reuters reported. “Another post, in April, said that unchecked AI agents were performing ‘large-scale, disruptive actions that humans are unlikely to execute.’ The result: Major technical and security incidents, such as service disruptions and possible data leaks, spiked 40% from the previous year, with the time staffers had to spend firefighting them up 70%.”

 

Here’s the Conservative Playbook for Winning the AI Data-Center Debate– townhall.com
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Conservatives need a coherent approach to the increasingly contentious question of AI data-center development. At the moment, the Right is all over the map, with President Trump and Vice President J.D. Vance emphasizing the need to build the infrastructure required for American AI dominance, while Republican governors including Greg Abbott and Ron DeSantis have approached new data-center development with far greater skepticism, and, at times, open hostility.

Taylor Budowich, president of the Innovation Council, has laid out the organized approach conservatives should take. First and foremost, we must listen to people’s concerns and ensure we oppose data-center projects that could drain communities dry. But in most places, conservatives should also recognize that communities are practically begging for data-center construction because of the investment and economic benefits these projects can bring. Our policy approach should give people the freedom to decide for themselves whether they want a data center built in their community, not impose sweeping statewide or federal moratoria that deny every town that choice and control over their economic future.

“I think part of the problem is actually the premise, which is we’re thinking about it in political terms. I’m a believer of the Reaganism, good policy makes good politics. So the question should be what’s good policy here?” Budowich said. “I think good policy is not a single shovel should go in the ground, not a single slab of concrete should be laid, if there’s a data center that’s taking from the community. These data centers, this industry, shouldn’t be draining our communities, it should be feeding our communities.”

Kids outlearn AI—and we still don’t know why– www.technologyreview.com
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“It’s just totally miraculous,” says Frank. “If you train GPT-2 on 30 million words, you get a nonsense generator; you don’t get a kid.”

Exactly how babies pull this off is a mystery. Researchers know a lot about what kids learn and how they use language at different stages in development, but there’s still a lot we don’t know. Perhaps the most enduring question is why babies can learn language at all. The syntax of human language—the rules for combining words into sentences—includes recursive, nested structures that allow us to express virtually infinite ideas with a finite lexicon of words and pieces of words. This seems like something that should be a problem for babies. They only splash about in the shallows of a fathomless ocean of language. And yet, somehow, that’s enough. From a drop, they infer the depths.

One solution, put forward in the 1950s by the MIT linguist Noam Chomsky, is that babies are born with hardwired knowledge of grammar. Chomsky was reacting to a rival view, championed by the psychologist B.F. Skinner, that language acquisition is entirely environmental. Skinner thought language was learned through conditioning and reinforcement, the way a dog figures out how to sit or shake for treats. Chomsky countered by citing the “poverty of the stimulus”—the idea that language, especially syntax, is too complex and children’s exposure to it too “impoverished” for them to learn entirely from experience. “His signature argument was, essentially, that language cannot be learned on the basis purely of statistics,” says Richard Futrell, a linguist and cognitive scientist at the University of California, Irvine. Instead, Chomsky posited that language is based on a set of logical rules and argued that children needed innate knowledge of those rules to deduce the grammar of their language from scraps of speech.