Twitter Says it Won't Block World Leaders

People watch a TV news program showing the Twitter post of US President Donald Trump while reporting North Korea's nuclear issue, at Seoul Railway Station in Seoul. AP
People watch a TV news program showing the Twitter post of US President Donald Trump while reporting North Korea's nuclear issue, at Seoul Railway Station in Seoul. AP
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Twitter Says it Won't Block World Leaders

People watch a TV news program showing the Twitter post of US President Donald Trump while reporting North Korea's nuclear issue, at Seoul Railway Station in Seoul. AP
People watch a TV news program showing the Twitter post of US President Donald Trump while reporting North Korea's nuclear issue, at Seoul Railway Station in Seoul. AP

Twitter announced Friday it would not block the accounts of world leaders even if their statements are "controversial," citing a need to promote a "public conversation" on political issues.

"Twitter is here to serve and help advance the global, public conversation. Elected world leaders play a critical role in that conversation because of their outsized impact on our society," Agence France Presse cited the California-based company.

"Blocking a world leader from Twitter or removing their controversial tweets would hide important information people should be able to see and debate. It would also not silence that leader, but it would certainly hamper necessary discussion around their words and actions," Twitter said in a blog post.

The announcement came just days after a tweet from President Donald Trump hinting at the use of US nuclear weapons sparked criticism that the social network was allowing threats of violence.

Twitter made no specific reference to Trump or his tweet this week saying he has a "nuclear button" which is "bigger and more powerful" than that of North Korea's.

Some activists said Twitter should have banned Trump and one group projected  images on the company's headquarters with a message "@jack is #complicit," a reference to chief executive Jack Dorsey and "Ban @realDonaldTrump."

The group called Resistance SF accused Dorsey of "endangering the world" and violating its own rules by not banning Trump.

Friday's announcement comes less than a month after Twitter began enforcing new rules aimed at filtering out "hateful" and "abusive" content on the social network, including messages which promote or glorify violence.

Twitter, which has struggled to maintain an open platform without allowing violence or hate speech, said at the time it would not cut off accounts for military or government entities.

Friday's statement left open the possibility however that Twitter could remove specific tweets from political leaders which violate its policies.



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.