Perhaps it's the local summer diet of deep-fried cheese curds, corn on the cob, and Spotted Cow, but Wisconsin residents have been feeling pretty dyspeptic about Flock's automated license plate cameras.

Over the past few months, a spate of Wisconsin towns and cities have withdrawn from Flock deals over privacy and trust concerns. As they did so, another issue revealed itself: With each city that leaves, the Flock network becomes less useful to the cities that remain. And cities are starting to notice.

Consider Dane County, which includes the city of Madison. It's one of the most populous counties in Wisconsin. It was also a significant Flock user, with a contract for 24 license plate cameras. But after complaints from citizens and privacy experts, the Dane County Board of Supervisors on April 16 voted to cut the $80,000 in county funding for Flock cameras and banned "further expenditures on the system."

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YouTube currently requires that content creators let viewers know "when they use AI to meaningfully alter or generate photorealistic content."

The policy draws some strange boundaries. It applies to "AI-generated music" (not photorealistic) but not to "riding a unicorn through a fantastical world" (this could be photorealistic, though it is not plausible). YouTube then summarizes the policy in a different way: "Realistic AI content and meaningful changes require disclosure, while non-realistic or minor edits don’t."

But AI uses that require no disclosure can include everything from "idea generation" up through "production assistance, like using generative AI tools to create or improve a video outline, script, thumbnail, title, or infographic." Creators are free to clone their own voices for voiceovers. They can also use "AI-generated or altered animation of a missile in a fully animated video."

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Earlier this summer, nearly 160,000 applicants took the entrance exam for UNAM, Mexico's largest university. For the first time, they did it completely remotely, using a "lockdown" browser and AI-powered webcam proctoring software, over several weeks from late May through early June.

It was a disaster.

When exam results came in, they bore little resemblance to past results, especially at the top. Between 2021 and 2025, 3.5 percent of test takers scored 100 or more on the 120-question UNAM test. This year, 16.3 percent did so.

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Everyone knows that great gimmicks are the key to hiring top developers for your startup.

That's why small AI startup LemonLime—which "optimizes your existing data to work with AI"—has so many of them. Want a job interview? Score a perfect 7/7 on the company's own "Is it a Lemon or a Lime?" game. Or—hear me out—get something permanently tattooed on your flesh.

LemonLime has tried both tactics in the past few weeks. The tattoo stunt generated the most publicity, of course, much of it negative. According to a writeup in Inc., seven people took the deal and got tattooed with the LemonLime logo during a party.

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Thierry Rignol is furious at Yale.

Rignol paid Yale $208,500 in tuition for its Executive MBA program. But after he was accused of cheating, the school suspended him for a year and gave him an F in the course Sourcing and Managing Funds.

This happened despite the fact that Rignol was a "top student, on track to graduate first in his class," he says. As a result, Rignol missed out on being named class valedictorian, an honor he claims to have earned "under Yale's own stated criterion."

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From New York to Texas, state and local governments have heard the message: Their constituents are wary of data centers. Across the political spectrum, large numbers of Americans agree that these facilities should pay taxes, cover the bill for water and power upgrades, keep noise to a minimum, and employ locals at decent wages. In other words, data centers should legitimately benefit the communities whose land and power they use.

Developers often express a willingness to do these things—until they see the specific list of requirements.

A pitched battle in the Philadelphia suburbs provides a vivid illustration of this dynamic. Developer Brian O'Neill wants to build a 2 million-square-foot data center in a former steel plant. Under Pennsylvania law, Plymouth Township (in which the plant is located) cannot simply say "no" to any lawful land use, but it can enforce zoning rules and require project mitigations in the name of health and safety.

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One missing underscore in a Skyrim-themed username put an innocent Nova Scotia man in prison for 18 months.

A 2018 child-luring investigation, which began in Madison, Wisconsin, and eventually extended to Halifax, Canada, was based on a false premise.

Police were looking for a man using the Kik messaging service under the name "fus__ro_dah" (two underscores after "fus"), but they accidentally requested records for the username "fus_ro_dah" (one underscore after "fus"). This one-character difference led them not to the perpetrator but to a Canadian man named Brandon Klayme.

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On March 31, 2026, a rather odd complaint arrived at the Bucks County, Pennsylvania District Attorney's Office.

It came from the local sheriff's office, and it concerned one of their own, Deputy Sheriff Ryan Gaffney. The allegation was unusual: Gaffney had used his iPhone to snap photos of nude prisoners he had encountered in his job—and he had then shared those photos with "several female civilian employees inside the Sheriff's Office."

The main claim involved a local man suffering a mental health crisis on the morning of January 30, 2026. Five fully uniformed deputies had arrived at the house and were in the upstairs bedroom. Their detainee was naked from the waist down and had just been persuaded to put on some pants.

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Kalshi is a high-tech prediction market that allows people to "forecast the future" (their term). It is about contracts and information, the company says, making its offerings more like a soybean futures contract than a round of blackjack or a pull on the one-armed bandit.

Still, prediction markets look a lot like betting if you squint, which is why states like New York have tried to regulate them under gambling laws. To head this off, Kalshi has sought federal protection under the Commodity Futures Trading Commission (CFTC). Yes, this means regulation for Kalshi, but it also means the CFTC will sue states like Kentucky, Minnesota, Illinois, and Rhode Island, trying to pre-empt their laws in favor of a single national standard that the CFTC controls.

While this battle plays out, government insiders continue to generate insider trading stories after using their work knowledge to place bets "forecast the future" and make huge sums of money. The classic example, of course, was Gannon Ken Van Dyke, a US soldier who participated in planning the capture of Venezuela's Nicolas Maduro and then made $410,000 from that knowledge on the prediction site Polymarket. Van Dyke was arrested in April.

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Ivy League college students are, by definition, intelligent. They don't need to use generative AI to cheat on exams; they could just learn the material. But they also tend to be competitive, ambitious, and overscheduled, so AI can look like an easy shortcut that makes more time in their lives for things that can't be done by a chatbot. When the pressure is on, which approach do they choose?

A new scandal at Brown University reveals that huge numbers of these students are likely to cheat.

Record scores

A recent survey of Princeton students found that 29.9 percent admitted to cheating with AI on at least one exam or assignment. But the situation at Brown gives us a better sense of what this kind of cheating looks like in one particular class—and just how much it may be substituting for actual learning. And we know all this because the blind economics professor at the center of it all, Roberto Serrano, is not letting it go.

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