August 25, 2026

AI Watch

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The legislation, signed into law on Tuesday, is a one-year pause on permitting and construction of new “hyperscale” (larger than 50 megawatts) data centers, facilities that power large AI systems, while the state develops stricter rules on energy use, environmental impacts, local control, and rules on mitigating AI’s effect on jobs.

“These hyperscale AI data centers consume enormous amounts of power, truly threatening to outpace our grid’s capacity, and they drive up costs for local ratepayers,” Gov. Kathy Hochul said on Tuesday.

“I refuse to let those costs be passed on to New Yorkers who already pay too much for their utility bills.”

The legislation follows widespread fearmongering about AI data centers, including concerns about their water and energy usage that have been massively overblown.

For example, few people know that all current AI data centers combined use less than 0.5 percent of the United States’ freshwater for cooling. Typically, even a large data center uses less fresh water than a single square mile of farmland.

Another common concern, what I’d call a myth, is the power usage of AI data centers. While they are massive consumers of electricity, that’s simply a reason to build more power generation. And so far, data centers have failed to drive residential price increases on any scale larger than your average Democrat-driven climate policy, according to groups like the Manhattan Institute. Other critics have likened the concern about power usage to halting the construction of computers because they use electricity.

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A coalition of current and former Meta employees have sued the social media giant, alleging that the company used artificial intelligence in its latest round of layoffs in a way that was discriminatory.

In a lawsuit filed Monday, plaintiffs allege that Meta violated various protected-leave laws and discrimination acts related to pregnancies and disabilities, among others, and said they wish to pursue their claims individually in arbitration.

Attorneys representing the 26 unnamed workers said in a legal complaint filed in the United States Northern District Court of California that the plaintiffs were among the 10% of Meta’s workforce cut in the company’s May layoff round.

The plaintiffs allege that Meta’s “constellation of internal artificial-intelligence systems” failed to take approved absences into account when determining which employees to cut.

“Those tools draw on inputs—performance ratings, calibration scores, productivity and output metrics, ‘AI-native’ ratings, and AI-token consumption—that, by design, cannot be accumulated by an employee who is on protected medical or family leave, or whose output is reduced by a disability,” the lawyers wrote in the filing.

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Multiple book publishers sued Google on Tuesday for allegedly stealing copyrighted content, using it to train artificial intelligence (AI) models and then generating content that “directly” competes with the original authors’ work.

“The scale and speed at which Gemini can create books and compete with human writers is unprecedented,” the lawsuit says.

The lawsuit, which requests class action status, was filed in New York by Hachette Book Group, Cengage Learning, Elsevier, author Scott Turow and his publishing company S.C.R.I.B.E.

They allege that “Google secretly copied millions of works” that were provided to Google Books and other services for “limited purposes” and then used that content to train Gemini, its AI model.

Furthermore, they claim the content generated by Gemini directly competes with the authors who wrote the original work.

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When it comes to making fair calls, the Korea Baseball Organization (KBO) deploys robots. The nation’s professional league added a fleet of so-called robot umpires to the field during its 2024 season, hoping to even out the playing field. Called the Automatic Ball-Strike system (ABS), it utilizes pitch-tracking sensors and camera arrays to quickly analyze when a pitch crosses the strike zone—not uncanny machines wearing catcher’s gear. The ABS data is then presented to the human home plate umpire, who announces their call based on the additional analysis.

ABS is designed to offer more accurate decisions while reducing overall bias in games, but did it deliver? Two years later, researchers at the University of Michigan (UM) say effects are already clear—although not necessarily what some baseball fans (or players) anticipated.

According to a study published in the journal European Sport Management Quarterly, famous top-ranking hitters performed worse during the 2024 KBO season compared to previous year for statistics involving strike-zone judgment. Meanwhile, the high status players walked less, struck out more, and reached bases less often when ABS entered the equation.

“This suggests that there may have been an existing bias in favor of prominent batters before ABS,” Jimin Song, a UM kinesiologist and study co-author, said in a statement. “Before ABS, when a big-name batter was at bat, umpires may have given more favorable calls on borderline pitches.”

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As a full-time painter and educator, I can say with certainty that technology has completely changed the art world. I am passionate about it and use it every day in my practice. Not only to paint—today, artists like myself also use it to teach students from all over the world and make art more accessible. I welcome tech as a tool for efficiency, connectivity and education. Some artists have even built their entire creative careers using digital tools and platforms. Technology is allowing creativity to be transferred in powerful and exciting ways. But there is a major issue that comes with that: A.I.

Using technology to create and share art is not the same as replacing artistic creation with technological creation; something essential is lost when the creative process itself disappears. But as A.I.-generated content becomes more common online, I believe there will be a moment when we see a shift in the opposite direction: people, tired of being overwhelmed with artificial images, moving back toward authentic handmade creation. Humans connecting with the people and emotions behind the art.

The African Islamist terrorist group Boko Haram have been using AI to help optimize their operations on the ground. The terrorist group used a range of AI chatbots, from ChatGPT to DeepSeek. The revelations were revealed through interviews conducted by 27 members of Boko Haram over the last two years.

AI has already fallen into the wrong hands and they’re using it to make bombs www.digitaltrends.com
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Artificial intelligence has quickly become the go-to tool for everything from writing emails and summarizing meetings to helping students study or developers debug code. But the same technology that saves people time can also be misused, and a new report suggests that terrorist organizations are finding ways to do exactly that.

According to a research paper shared with The New York Times ahead of its publication, researchers found evidence that members of Boko Haram have been using popular AI chatbots to support both day-to-day activities and combat-related tasks. Interviews with 27 former members conducted in Nigeria over the past two years suggest that tools such as ChatGPT, Gemini, Claude, Grok, Meta AI, and DeepSeek were used to gather technical information, troubleshoot weapons, and even assist with planning attacks.

AI has already fallen into the wrong hands and they’re using it to make bombs www.digitaltrends.com
News Source
EXCERPT:

Artificial intelligence has quickly become the go-to tool for everything from writing emails and summarizing meetings to helping students study or developers debug code. But the same technology that saves people time can also be misused, and a new report suggests that terrorist organizations are finding ways to do exactly that.

According to a research paper shared with The New York Times ahead of its publication, researchers found evidence that members of Boko Haram have been using popular AI chatbots to support both day-to-day activities and combat-related tasks. Interviews with 27 former members conducted in Nigeria over the past two years suggest that tools such as ChatGPT, Gemini, Claude, Grok, Meta AI, and DeepSeek were used to gather technical information, troubleshoot weapons, and even assist with planning attacks.