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The piece is a satirical first-person opinion essay about a postdoctoral fellow’s failed tenure-track interview after being barred from using ChatGPT during a chalk talk. The author argues that this r

The Intercept’s Signal tip line was breached by an unknown third party, creating a serious operational security risk for potential whistleblowers. According to the report, the unauthorized party took

The article argues that the long-feared merger of AI and military technology has moved from theory to reality. It highlights a report from *New Scientist* claiming that, in a test two years ago, 10 fu

Shawn Smucker’s piece argues against relying on AI for everyday and meaningful human tasks, using a sarcastic, poetic tone. He suggests that instead of turning to AI for things like meal planning, tra

The article describes how some Kenyans are being deceived into traveling to Russia and then forced into fighting in Ukraine. It focuses on cases where men believed they were accepting legitimate oppor

The article discusses the emergence of a significant crisis in software development due to the rise of AI coding agents, which, while increasing productivity, are also generating an unsustainable main

The article "12 Red Flags of AI Writing (And How to Fix Them)" by Tahi Tahi identifies common indicators that content may be AI-generated and offers suggestions for improvement. As AI writing becomes

Pizza Hut Classic has gained a cultural following, particularly the Tunkhannock, Pennsylvania location—one of the few remaining sit-down Pizza Huts in the U.S. This restaurant stands out for its nosta

The article discusses the insecurity of instant messaging platforms used by the People’s Liberation Army (PLA) in China, highlighting that despite claims of strong encryption, these systems have backd

The People’s Liberation Army (PLA) of China employs custom-designed instant messaging platforms that, despite claims of strong encryption, remain insecure due to backdoor access for surveillance. Thes

The article critiques the current state of generative AI, highlighting that large language models (LLMs) still struggle with trustworthiness and primarily rely on memorization rather than generating n

Leaders in AI adoption face pressure to act quickly or risk becoming irrelevant, but this creates a dangerous cycle of rushed decisions that lack accountability. The real risk lies not in the speed of