US Lawmakers Accuse X Chief Musk of Profiting from Anti-Israel Propaganda

Tesla and SpaceX's CEO Elon Musk pauses during an in-conversation event with British Prime Minister Rishi Sunak in London, Britain, Thursday, Nov. 2, 2023. (Reuters)
Tesla and SpaceX's CEO Elon Musk pauses during an in-conversation event with British Prime Minister Rishi Sunak in London, Britain, Thursday, Nov. 2, 2023. (Reuters)
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US Lawmakers Accuse X Chief Musk of Profiting from Anti-Israel Propaganda

Tesla and SpaceX's CEO Elon Musk pauses during an in-conversation event with British Prime Minister Rishi Sunak in London, Britain, Thursday, Nov. 2, 2023. (Reuters)
Tesla and SpaceX's CEO Elon Musk pauses during an in-conversation event with British Prime Minister Rishi Sunak in London, Britain, Thursday, Nov. 2, 2023. (Reuters)

A group of 27 US lawmakers, all Democrats, wrote to X owner Elon Musk on Tuesday to express concern the platform seemed to be profiting from premium accounts that glorified violence against Israelis.

In the letter to Musk and X chief executive Linda Yaccarino, the lawmakers noted reports from nonprofit organizations that showed people with X Premium accounts "glorifying barbaric acts of violence against Israelis."

The letter is the latest fight between Musk, who bought Twitter and renamed it X, and those who have advocated for better content moderation. X sued the watchdog group Media Matters on Monday, alleging it defamed the platform after it published a report that said ads for major brands had appeared next to posts touting Adolf Hitler and the Nazi party.

"These reports demonstrated that X is profiting from the spread of this gruesome and harmful propaganda through account subscription fees and ad revenue," the lawmakers wrote, adding that much of the offensive content remained live despite being flagged by researchers.

X did not immediately respond to a request for comment.

The lawmakers said X profited from the posts both from subscription fees as well as ads displayed in replies to both Premium and regular posts.

"X has financially benefited from the spread of demonstrably false and misleading content as well," the lawmakers wrote.

X's US ad revenue has declined at least 55% year-over-year each month since Musk's takeover. Advertisers have left the platform since Musk bought it for $44 billion in October 2022 because of some of Musk's controversial posts and layoffs of employees who worked to moderate content.

The lawmakers also noted that the United States had designated Hamas as a terrorist organization in 1997, which means that it was unlawful to knowingly provide material support or resources to the group.

"There is no ambiguity about whether violent videos generated by the group qualify under these policies. These are videos that carry official Hamas branding and iconography," the lawmakers wrote.



SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI
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SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

SDAIA, KAUST Launch MiniGPT-Med Model to Help Doctors Diagnose Medical Radiology through AI

The Center of Excellence for Data Science and Artificial Intelligence at the Saudi Data and Artificial Intelligence Authority (SDAIA) and King Abdullah University of Science and Technology (KAUST) have introduced the MiniGPT-Med model.

The large multi-modal language model is designed to help doctors quickly and accurately diagnose medical radiology using artificial intelligence techniques.

Dr. Ahmed Alsinan, the Artificial Intelligence Advisor at the National Center for Artificial Intelligence and head of the scientific team at SDAIA, explained that the MiniGPT-Med model is capable of performing various tasks such as generating medical reports, answering medical visual questions, describing diseases, locating diseases, identifying diseases, and documenting medical descriptions based on entered medical images.

The model was trained on different medical images, including X-rays, CT scans, and MRIs.

The MiniGPT-Med model, derived from large-scale language models, is specifically tailored for medical applications and demonstrates significant versatility across different imaging methods, including X-rays, CT scans, and MRI. This enhances its utility in medical diagnosis.

Dr. Alsinan highlighted that the MiniGPT-Med model was developed collaboratively by artificial intelligence specialists from SDAIA and KAUST.

The model exhibits advanced performance in generating medical reports, achieving 19% higher efficiency than previous models. It serves as a general interface for radiology diagnosis, enhancing diagnostic efficiency across various medical imaging applications.