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vendredi 15 mai 2026

Fired hacker twins forget to end Teams recording, capture own crimes

Fired hacker twins forget to end Teams recording, capture own crimes

Perhaps you remember Muneeb and Sohaib Akhter, the 34-year-old twin brothers we profiled earlier this week. Although they had the tech chops to commit years of petty crimes (like stealing airline miles), what landed them in truly serious trouble was deleting 96 US government databases in the hour after both were fired last year by the same federal IT contractor, Opexus. (Opexus had just found out that both brothers had previously been in prison for cyberfraud.)

The pair come off less as cybercriminal masterminds than as galumphing galoots—that is to say, a pair of bumbling oafs who thought that asking AI how to cover their tracks was going to keep them out of federal prison.

One of the minor mysteries I encountered while writing the piece was that the government had a verbatim transcript of everything the brothers said to each other during their hour-long deletion spree. The two men lived together in Arlington, Virginia, so it made sense that they might be chatting in the same room rather than by text or instant message. But how the heck had the government gotten access to the audio? Supersecret software bugging? Crazy corporate spyware running on their company laptops? FBI agent in the bushes with a microphone?

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Your doctor’s AI notetaker may be making things up, Ontario audit finds

Your doctor’s AI notetaker may be making things up, Ontario audit finds

In recent years, many overworked doctors have turned to so-called AI medical scribes to help automatically summarize patient conversations, diagnoses, and care decisions into structured notes for health record logging. But a recent audit by the auditor general of Ontario found that AI scribes recommended by the provincial government regularly generated incorrect, incomplete and hallucinated information that could "potentially result in inadequate or harmful treatment plans that may potentially impact patient health outcomes."

In a recent report on Use of Artificial Intelligence in the Ontario Government, the auditor general reviewed transcription tests of two simulated patient-doctor conversations performed across 20 AI scribe vendors that were approved and pre-qualified by the provincial government for purchase by healthcare providers. All 20 of those vendors showed some issue with accuracy or completeness in at least one of these simple tests, including nine that hallucinated patient information, 12 that recorded information incorrectly, and 17 that missed key details about discussed mental health issues.

In the report, the auditor general points out multiple concerning examples of mistakes in those summaries that could have a direct and negative impact on a patient's subsequent care. That includes situations where an AI scribe hallucinated nonexistent referrals for blood tests or therapy, incorrectly transcribed the names of prescription medication, and/or missed "key details" of mental health issues discussed in the simulated conversations.

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FCC angers small carriers by helping AT&T and Starlink buy EchoStar spectrum

FCC angers small carriers by helping AT&T and Starlink buy EchoStar spectrum

The Federal Communications Commission yesterday approved EchoStar's sales of spectrum licenses to AT&T and Starlink operator SpaceX. The deals are worth $40 billion in total.

The orders, issued by the agency's Wireless Telecommunications Bureau and Space Bureau, aren't surprising given that FCC Chairman Brendan Carr essentially forced EchoStar to sell the licenses. Last year, Carr threatened to revoke the licenses after SpaceX alleged that EchoStar subsidiary Dish Network “barely uses” the spectrum to provide mobile service to US consumers.

Dish had obtained a deadline extension for its network deployment obligations from the Biden-era FCC, and Carr objected to the agreement made with the previous administration. After Carr's threat, the Charlie Ergen-led EchoStar struck deals to sell spectrum licenses to SpaceX for $17 billion and to AT&T for $23 billion.

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Protein in Homo erectus teeth suggests Denisovans gave us some of their DNA

Protein in Homo erectus teeth suggests Denisovans gave us some of their DNA

Humanity's ancestry has grown far clearer thanks to our ability to obtain ancient DNA. We now know that, as humans left Africa, they interbred with the groups they met there, Neanderthals and Denisovans. Evidence from the Denisovan genome also suggests that this was nothing new; the Denisovans had apparently interbred with an even earlier group. But the identity of that group remained a bit of a mystery.

Now, some evidence from ancient proteins suggests that the mystery group was Homo erectus, a species that left Africa over a million years ago and spread throughout Eurasia. And, thanks to the Denisovans, it appears that modern humans inherited some of that Homo erectus DNA.

In the teeth

Without access to all the repair enzymes made by living cells, DNA rapidly degrades. The double helix fragments, and bases change identity or fall off entirely. While cooler, drier environments slow this process, it sets a hard limit on how far back in time we can obtain DNA sequences. So far, it seems that Homo erectus remains on the far side of that time limit.

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jeudi 14 mai 2026

Foiled plot tried to sneak 49 lbs of cocaine into Australia via Xerox printers

Foiled plot tried to sneak 49 lbs of cocaine into Australia via Xerox printers

Four Australian men have given new meaning to the term “bricked printers.”

According to a press release from the Australian Federal Police (AFP) and Australian Border Force (ABF) today, three men have been sentenced for trying to use five printers to smuggle 22.4 kg (49.4 pounds) of cocaine into Australia.

In 2019, Australian news outlets reported that the printers were Xerox brand and that the drugs had a street value of approximately 9.3 million AUD to over 12.4 million AUD ($6.7 million to over $9 million).

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AI invades Princeton, where 30% of students cheat—but peers won't snitch

AI invades Princeton, where 30% of students cheat—but peers won't snitch

Pity poor Princeton.

The ultra-elite university has a mere $38 billion in endowment money. Many of its dorms lack air conditioning. And it's in New Jersey.

I kid about New Jersey, of course. Despite not being allowed to pump one's own gas there, the "Garden State" grew on me during three years spent in the Princeton area. I still keep up with its goings-on, which led me to this week's article in the Daily Princetonian on how AI was disrupting the university's long-running traditions.

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The physics of how Olympic weightlifters exploit barbell's "whip"

The physics of how Olympic weightlifters exploit barbell's "whip"

Olympic weightlifting consists of three basic movements performed on a barbell: the snatch, the clean, and the jerk (with the latter two executed in combination). At such an elite level, athletes seek to exploit every possible advantage, including how a barbell bends and recoils in response to loaded weight and applied force—a property known as flexural bending in physics and dubbed the "whip" by Olympic athletes. Scientists are learning more about the underlying mechanisms of the whip, according to a presentation at this week's meeting of the Acoustical Society of America in Philadelphia.

Joshua Langlois, a graduate student at Pennsylvania State University, competes in Strongman competitions as a hobby. He also has friends who compete at the national level in Olympic weight-lifting events. "They told me how they use the whip," Langlois said during a media briefing. "When they dip down, they can feel when the bar flexes back up and use that to accelerate the movement upward to increase the amount they can lift."

Langlois decided to conduct a modal analysis, i.e., how an object moves or vibrates, to quantify the whip and better understand the mechanics, as well as what makes for a good barbell at the elite level. He suspended four 20-kg men's barbells (women use 15-kg barbells)—with 50 kg loaded on each end—from elastic resistance bands so that the bar was essentially floating in space. Then he attached accelerometers at each end of the bar where the vibrational mode patterns occur. Next, he tapped set locations across the bar with a small hammer, measuring the acceleration at the endpoints, which enabled him to map out how the bars moved in response. He compared the vibrations of different barbells, as well as a single barbell loaded with different weights.

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