MAROKO133 Breaking ai: Sports Illustrated Just Deleted Every Article by One of Its Writers

📌 MAROKO133 Update ai: Sports Illustrated Just Deleted Every Article by One of Its

Sports Illustrated deleted an author — and his entire archive of articles — from its website following allegations of AI plagiarism.

Last week, the sports news site Sportico published an article featuring an original analysis of parlay bets made via the prediction market Kalshi. Two days later, on May 15, Sports Illustrated published an article — titled “Who is really winning on Kalshi parlays according to the data” — that regurgitated the same figures, without ever attributing the analysis to Sportico, as would be the normal and ethical thing to do.

The Sports Illustrated piece only mentioned the other sports outlet when repeating a quote given to Sportico for a related article published back in 2025 — a quote that Sportico, tellingly, had called back to in its more recent piece.

Sportico editor Dan Bernstein, who bylined the original piece, took to X on Sunday to accuse Sports Illustrated of plagiarism, suggesting in the post that AI may have been used to generate the piece in question.

“The husk of the Sports Illustrated brand is stealing entire stories from people without credit, seemingly using AI,” wrote Bernstein. “This becomes very obvious when it’s stealing data only you’ve reported!”

Soon after Bernstein’s allegations were made public, Sports Illustrated deleted the article in question, which was attributed to a writer named Parker Loverich. Profiles associated with Loverich quickly disappeared from LinkedIn and X. Loverich didn’t immediately respond to a request for comment.

After this story initially ran, Sports Illustrated said the deleted content had been produced by an “independent publisher.”

“Parker Loverich is a real reporter,” it said in a statement to Awful Announcing. “The predictions market On SI site was managed by an independent publisher who is expected to abide by Sports Illustrated’s editorial guidelines. Sports Illustrated became aware of a violation of those guidelines in regards to the use of AI and immediately took steps internally to address this violation, including cutting ties with the publisher.”

Loverich’s entire profile — along with all of his articles — were scrubbed from Sports Illustrated‘s website.

Speaking to Futurism, Bernstein shared that it was “frustrating” to see his work plagiarized by a high-trafficked brand like Sports Illustrated.

“If someone was plagiarizing my work and no one was actually seeing it, then it would be semi-annoying,” said Bernstein. “But the idea of a plagiarized version showing up in Google over my own version, or someone seeing the plagiarized version and then citing the plagiarized version instead of my own, that’s kind of frustrating.”

The company’s hasty move to scrub an entire writer and their backlog from Sports Illustrated‘s site is significant in light of the iconic sports brand’s not-too-distant history of AI scandal. Back in 2023, Futurism published an investigation revealing that Sports Illustrated, then owned by The Arena Group, had published a huge number of product review articles bylined by completely fabricated writers with AI-generated profile pictures.

The Arena Group said the articles had been published to Sports Illustrated‘s site by a third-party content provider called AdVon Commerce; former employees of AdVon told Futurism that the company was secretly using AI to generate large amounts of content. When we reached out to the Arena Group about the content, the entire section of the Sports Illustrated site where the articles had appeared was swiftly deleted.

Following Futurism‘s reporting, several Arena Group executives were fired, including the company’s then-CEO. The Arena Group soon lost control of Sports Illustrated entirely, and the historic brand ended up in the portfolio of Minute Media.

Asked about Minute Media’s hurried response to scrub the writer’s history without a formal response to the plagiarism allegation, Bernstein added that “it would be nice” if the owner of the brand “took some sort of responsibility.”

“Just because this account was deleted, I would not be surprised if this is happening elsewhere, or if this is going to happen again,” said Bernstein. “It feels like it’s more of a systemic problem than this one incident.”

Do you know anything about what’s going on at Sports Illustrated? Email us: [email protected]. We can keep you anonymous.

More on AI and journalism: New York Times Issues Stern Warning to Its Freelance Writers About AI Use

The post Sports Illustrated Just Deleted Every Article by One of Its Writers After Accusation of AI Plagiarism appeared first on Futurism.

🔗 Sumber: futurism.com

📌 MAROKO133 Eksklusif ai: US scientists are building autonomous robots that can le

Scientists at Argonne National Laboratory are developing AI-powered robotic assistants that could learn laboratory procedures directly from human researchers and eventually help automate complex scientific experiments.

The project, called RoSA, short for Robot Scientific Assistant for Accelerating Experimental Workflows, aims to create robots capable of working alongside scientists in real laboratory environments while adapting to changing conditions and different types of experiments.

Researchers say the effort is part of the U.S. Department of Energy’s Genesis Mission, a national initiative focused on using artificial intelligence, quantum computing, and supercomputers to speed up scientific discovery and double American research productivity within the next decade.

Instead of programming every action manually, the Argonne team plans to train robots by observing scientists as they perform experiments. Researchers will wear sensors while carrying out laboratory tasks, allowing the system to capture movements, workflows, and decision-making patterns that robots can later imitate.

“Robots with fine motor skills already exist but using them safely and effectively in real laboratories is still very challenging,” said Nicola Ferrier, senior computer scientist at Argonne in a release. “Our approach starts by learning directly from expert scientists as they do their work.”

Robots learn experiments

The recorded data will be used to develop AI models capable of teaching robots how scientific procedures are correctly performed. The researchers believe this learning-based approach could help robots adapt to dynamic lab conditions without requiring constant reprogramming.

Ferrier is leading the robotics and computer vision side of the project, while computational scientist Arvind Ramanathan is contributing expertise in autonomous laboratories and AI-driven decision-making systems.

According to the team, the project will also classify common laboratory tasks based on their complexity and precision requirements. Different robotic systems will then be matched to the most suitable jobs.

The researchers are exploring the use of fixed-base robotic arms, humanoid robots, and hybrid robotic systems that combine mobility with stationary precision. Before deployment in real laboratories, the systems will first be tested in virtual simulation environments.

“Our main goal is to strengthen the basic robotics and computing tools needed so that large-scale, automated robotic systems can carry out experiments faster and more reliably,” Ferrier said.

Faster science through AI

The project is also expected to support another DOE-backed initiative called OPAL, or Orchestrated Platform for Autonomous Laboratories, which focuses on creating networks of self-driving laboratories capable of adapting and learning independently.

“In OPAL, dexterous robotics – which are well coordinated and nimble – are being planned for executing biological experiments,” Ramanathan said. “By integrating AI-driven decision-making with advanced robotics, we aim to create systems that can accelerate discovery across a wide range of scientific disciplines.”

Researchers say robotic scientific assistants could eventually handle repetitive or hazardous laboratory work while improving the speed and consistency of experiments.

The Argonne team hopes to demonstrate a fivefold increase in task efficiency within the next year as development progresses.

“Within the next year we hope to show a fivefold improvement in how efficiently these tasks can be completed,” Ferrier said. “In the long term, we envision robot scientific assistants that can work with existing laboratory equipment, making complex experiments both safer and more efficient. RoSA is a key step toward that future.”

🔗 Sumber: interestingengineering.com