Washington U. Prof: AI Girlfriends Are Ruining a Generation of Men

The rise of AI girlfriends is ruining an entire generation of young men by fostering a silent epidemic of loneliness, according to Washington University Professor of Data Science Liberty Vittert.

There are now apps that offer virtual girlfriends for men who want an AI lover to talk to them, allow them to live out their sexual fantasies, and learn, through data, exactly what they like, according to a op-ed written by Washington U. professor Liberty Vittert and published by the Hill.

These apps reportedly have millions of users, who are able to choose the physical attributes and personalities of their virtual girlfriends.

Some of the artificial lovers are even based on real people. One online influencer, for example, created an AI bot of herself and gained over 1,000 users in less than a week. She believes the AI girlfriend version of herself can generate $5 million a month.

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How the “Surveillance AI Pipeline” Literally Objectifies Human Beings

The vast majority of computer vision research leads to technology that surveils human beings, a new preprint study that analyzed more than 20,000 computer vision papers and 11,000 patents spanning three decades has found. Crucially, the study found that computer vision papers often refer to human beings as “objects,” a convention that both obfuscates how common surveillance of humans is in the field, and objectifies humans by definition.

“The studies presented in this paper ultimately reveal that the field of computer vision is not merely a neutral pursuit of knowledge; it is a foundational layer for a paradigm of surveillance,” the study’s authors wrote. The study, which has not been peer-reviewed yet, describes what the researchers call “The Surveillance AI Pipeline,” which is also the title of the paper.

The study’s lead author Pratyusha Ria Kalluri told 404 Media on a call that she and her co-authors manually annotated 100 computer vision papers and 100 patents that cited those papers. During this process, the study found that 90 percent of the papers and patents extracted data about humans, and 68 percent reported that they specifically enable extracting data about human bodies and body parts. Only 1 percent of the papers and patents stated they target only non-humans.

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NASA to Use Artificial Intelligence to Better Track and Monitor UFO’s

As inklings of extraterrestrial life continue to make headlines, the National Aeronautics and Space Administration (NASA) will begin to use advancements in artificial intelligence to better monitor the skies in the hopes that non-human eyes may help them understand unidentified flying object (UFO) sightings and other events that may indicate a non-human presence.

NASA said that artificial intelligence (AI) will be “essential” in fully understanding the data surrounding unidentified anomalous phenomena and their origins in talks that followed the release of their highly anticipated UFO report.

The report did not conclude one way or the other whether NASA believes UFO’s are of extraterrestrial origin, but in a press briefing on September 14 the Administrator of NASA emphasized that the agency would continue to use all the resources at its disposal to prove or disprove that the unidentified objects showing up all over American military radar and otherwise baffling the world’s best scientists are of extraterrestrial origin. These resources now include AI programs that can comb through very large datasets for information a human might miss or take much longer to find.

“We will use AI and machine learning to search the skies for anomalies… and will continue to search the heavens for habitable reality,” NASA Administrator Bill Nelson said. “AI is just coming on the scene to be explored in all areas, so why should we limit any technological tool in analyzing, using data that we have?”

NASA administrators emphasized both in the report and press briefing that data surrounding unidentified anomalous phenomenas (UAP’s) and UFO’s is often very hard to analyze or quantify partly because of the nature of the topic and partly because it’s a very large swath of data. By using new tools made possible by artificial intelligence, NASA believes they can find patterns or anomalies in data that humans have thus far been unable to find.

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Baltimore police warn suspect at large in female CEO slaying will ‘kill’ and ‘rape’

Baltimore police say that tech CEO Pava Marie LaPere was found dead in her apartment on Monday morning shortly after a missing-persons report was received.

LaPere, 26, was found dead Monday at 11:34 a.m. in the 300 block of West Franklin Street in Baltimore, police said. Officers found that LaPere had signs of blunt-force trauma.

Shortly before officers arrived at the apartment, a missing-person’s call was made, an investigation revealed. Homicide detectives are investigating her death.

During a press conference, officials revealed that Jason Deans Billingsley, 32, is a suspect in the case and wanted for first-degree murder, assault and other charges.

Police don’t believe Billingsley had any relationship with LaPere.

Billingsley was convicted of attempted rape and other violent crimes in 2011 and received a sentence of 30 years, but he was paroled in October 2022.

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Just The Facts On ‘Geofencing’: The Intrusive, App-Based ‘Dragnet’ That Sgt. Joe Friday Never Dreamed Of

As worshippers gathered at the Calvary Chapel in 2020, they were being watched from above.  

“We are in the space between the emergence of this technological practice and courts having ruled on its constitutionality,” said Alex Marthews, national chair for Restore the 4th, a nonprofit organization dedicated to the protection of the Fourth Amendment, which protects Americans’ rights against “unreasonable search and seizure.” 

“Geofencing” often begins with an innocent click. Smartphone apps ask if they can access location to improve service. When users say they yes, they often don’t realize that the apps that help them drive, cook, or pray are likely reselling their information to far-flung for-profit entities. This and other information detailing people’s behaviors and preferences is valuable for businesses trying to target customers. The global location intelligence market was estimated at $16 billion last year, according to Grand View Research, which predicts that figure will grow to $51 billion by 2030.

While it is legal for private companies to broker this information, constitutional questions arise when government accesses data from a third party that it would be prohibited from collecting on its own. The lawsuit filed by Calvary Chapel in August argues that Santa Clara County carried out a warrantless surveillance of the church when it acquired information in 2020 on the church’s foot traffic patterns collected by a research team from Stanford University. Court documents show the researchers acquired the information, which originated with Google Maps, from the location data company SafeGraph, which is also being sued by Calvary. 

Nicole Berger, SafeGraph’s senior vice president of operations, has said the Stanford team violated the company’s terms of service and non-commercial research agreement. For its part, Google has since cracked down on third-party vendors, though it still uses location and other data for its own operations.

Google was recently ordered to pay $93 million in a settlement over its collection of location data even after users turned off their location history. The company is also involved in an ongoing dispute in an Oakland, Calif., U.S. District Court over the company’s “Real Time Bidding” process, whereby customers’ personal information is auctioned off to advertisers, so that they can place targeted ads. According to the Calvary Chapel lawsuit, it was this process, among others, which enabled SafeGraph to collect users’ location data. 

Geofencing allows users to build a fence around certain areas or points-of-interest such as Calvary Chapel or the area near the Capitol on Jan. 6 and see when people entered that space.

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Scientists Recover RNA From an Extinct Species for the First Time

The last known thylacine—the largest marsupial carnivore in recent times—died in Tasmania’s Beaumaris Zoo in 1936. But the animal has recently been the target of de-extinction efforts, and now, a team of researchers has managed to recover RNA from the creature—the first time such a feat has been accomplished for any extinct species.

The researchers extracted, sequenced, and analyzed RNA (Ribonucleic acid) from an approximately 130-year-old thylacine (Thylacinus cynocephalus) specimen in the Stockholm Natural History Museum. The team’s research describing the recovery and its utility was published today in Genome Research.

“Our study is unique in this sense as we were able, for the first time, to sequence RNAs from an extinct species, the Tasmanian tiger,” said Emilio Mármol-Sánchez, a paleogeneticist at Stockholm University and the Centre for Paleogenetics in Stockholm, and the study’s lead author, in an email to Gizmodo. “This is the first time that we have been able to catch a glimpse of the actual biology and metabolism of Tasmanian tiger cells right before they died.”

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Pig kidney transplanted in a human lasted for TWO MONTHS in new record that could be a breakthrough for organ donations

A pig kidney transplanted into a brain-dead man continued to function for two months, marking the longest time a non-human organ has survived in a human.

The procedure, conducted on July 14, implanted the kidney in 58-year-old Maurice ‘Mo’ Miller, whose body was donated by his family after he was declared dead by neurologic criteria and maintained with a beating heart on ventilator support.

The experiment concluded Wednesday when doctors removed the genetically modified organ, and Miller’s sister said her final goodbyes.

‘I’m so proud of you,’ Mary Miller-Duffy said in a tearful farewell at her brother’s bedside.

Surgeons at NYU Langone Health, who performed the experiment, determined no differences in how the pig kidney reacted to human hormones, excreted antibiotics or experienced medicine-related side effects.

It is the latest in a string of developments renewing hope for animal-to-human transplants, or xenotransplantation, after decades of failure as people’s immune systems attacked the foreign tissue.

A previous attempt saw the organ only last for 72 hours before it was rejected. 

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Chinese researchers create dancing microrobots using lasers

A team of researchers has come up with a method that utilizes femtosecond lasers to make micromachined joints, showcased by tiny “dancing” micro robots that look like humans.

Inspired by the flexible joints of humans, the scientists from the University of Science and Technology of China (USTC), of the Chinese Academy of Science, led by Prof. Wu Dong, proposed a two-in-one multi-material laser writing strategy that creates the joints from temperature-sensitive hydrogels as well as metal nanoparticles. 

What are femtosecond lasers? 

Femtosecond lasers are pulsed lasers that use short, intermittent irradiation. They feature the shortest pulse width, just one quadrillionth of a second (10-15 sec). Unlike a continuous wave laser, the material that’s affected by the pulse is instantly removed. 

The technique of femtosecond laser two-photon polymerization, a “true three-dimensional fabrication technique with nanoscale precision,” as the press release from USTC  describes it, has been widely used recently to create a number of functional microstructures. 

Such microstructures have been showing promise for applications in micro-nano optics, micro sensors, microelectromechanical systems. The study specifically mentions soft grippers, artificial muscles, and wearable devices as possibilities. The challenge lies in “integrating multiple microjoints into soft robots at the micrometer scale to achieve multi-deformation modalities,” as the scientists write in their paper, published in Nature Communications. 

One possibility would be to equip terrestrial robots with multiple shape memory alloy joints that can “realize linear/curvilinear crawling, walking, turning, and jumping by laser-inducing,” as the study proposes. Another use would be to create flexible hands with multiple joints as an aid to disabled people. This would allow them to grip different kinds of objects.

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Senators Call For Government Power To Hand Out Licenses To AI Companies, Curb “Deceptive” Election-Related AI and “Deepfakes”

This week, a Senate Judiciary hearing under the umbrella of the Privacy, Technology and Law Subcommittee became the stage for bipartisan senators to divulge plans aiming to focus on the allegedly looming threats of manipulative artificial intelligence, especially in the realm of elections. Visions for a framework proposed by Senators Josh Hawley (R-Mo.) and Richard Blumenthal (D-Conn.), foresee a new government agency, tasked with issuing licenses to entities working with AI systems.

Simultaneously, Senator Amy Klobuchar (D-Minn.) unveiled preliminary details of upcoming legislation, crafted in tandem with Hawley, along with Senators Chris Coons (D-Del.), and Susan Collins (R-Maine). This new proposal targets the prospects of AI technologies pervading the electoral process.

Apprehension regarding deceptive generative AI undermining democratic elections took center stage during the Senate hearing, with Klobuchar expressing a sense of urgency given the rapidly approaching electoral calendar.

Specifically, the newly minted legislation, coined the Protect Elections from Deceptive AI Act, is envisioned to clamp down on AI-assisted impersonation of federal political aspirants in campaign ads.

Rendered as an amendment to the Federal Election Campaign Act of 1971, this legislation provides a legal recourse in federal court for targeted candidates to counter harmful AI-generated deceptive content.

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Cars are collecting data on par with Big Tech, watchdog report finds

An internet and privacy watchdog has a warning: Your car is tracking you, and it’s collecting far more information than it needs just to get you where you’re going.

Mozilla, the nonprofit that develops the Firefox browser, released a report Wednesday detailing how the policies of more than two dozen car manufacturers allow for the collection, storage and sale of a wide range of sensitive information about auto owners.

Researchers behind the report said that cars now routinely collect data on par with tech companies, offer few details on how that data is stored and used, and don’t give drivers any meaningful way to opt out.

“Cars are a humongous privacy nightmare that nobody’s seemingly paying attention to,” said Jen Caltrider, who directs Privacy Not Included, a consumer privacy guide run by Mozilla. “And they’re getting away with it. It really needs to change because it’s only going to get worse as cars get more and more connected.”

Unlike Europe, the U.S has few meaningful regulations on how companies trade and store personal data. That’s led to a bustling industry of companies that buy and sell peope’s information, often without their knowledge.

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