When you ask ChatGPT or other AI assistants to help create misinformation, they typically refuse, with responses like “I cannot assist with creating false information.” But our tests show these safety measures are surprisingly shallow—often just a few words deep—making them alarmingly easy to circumvent.When you ask ChatGPT or other AI assistants to help create misinformation, they typically refuse, with responses like “I cannot assist with creating false information.” But our tests show these safety measures are surprisingly shallow—often just a few words deep—making them alarmingly easy to circumvent.Security[#item_full_content]

The videos are strikingly lifelike, featuring bikini-clad women conducting street interviews and eliciting lewd comments—but they are entirely fake, generated by AI tools increasingly used to flood social media with sexist content.The videos are strikingly lifelike, featuring bikini-clad women conducting street interviews and eliciting lewd comments—but they are entirely fake, generated by AI tools increasingly used to flood social media with sexist content.Internet[#item_full_content]

When pop groups and rock bands practice or perform, they rely on their guitars, keyboards and drumsticks to make music. Oliver McCann, a British AI music creator who goes by the stage name imoliver, fires up his chatbot.When pop groups and rock bands practice or perform, they rely on their guitars, keyboards and drumsticks to make music. Oliver McCann, a British AI music creator who goes by the stage name imoliver, fires up his chatbot.Business[#item_full_content]

A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out “questionable” scientific journals.A team of computer scientists led by the University of Colorado Boulder has developed a new artificial intelligence platform that automatically seeks out “questionable” scientific journals.Computer Sciences[#item_full_content]

The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.The rapid advancement of artificial intelligence (AI) and machine learning systems has increased the demand for new hardware components that could speed up data analysis while consuming less power. As machine learning algorithms draw inspiration from biological neural networks, some engineers have been working on hardware that also mimics the architecture and functioning of the human brain.Hardware[#item_full_content]

At 77 years old, Geoffrey Hinton has a new calling in life. Like a modern-day prophet, the Nobel Prize winner is raising alarms about the dangers of uncontrolled and unregulated artificial intelligence.At 77 years old, Geoffrey Hinton has a new calling in life. Like a modern-day prophet, the Nobel Prize winner is raising alarms about the dangers of uncontrolled and unregulated artificial intelligence.Other[#item_full_content]

When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.When Jake Klinkert was growing up, his father suggested that since he loved video games, he should make them. Klinkert took those words to heart and went on to earn a Master of Interactive Technology in Digital Game Development from SMU Guildhall. Now a Ph.D. student in the Computer Science Department at SMU’s Lyle School of Engineering, he is testing large language models (like ChatGPT) to create non-playable characters (NPCs) that act and respond more like real people.Computer Sciences[#item_full_content]

From Bigfoot vlogs to algorithmically created personas, hyperrealistic AI content is redefining the boundaries of digital creators. These influencers are entirely virtual personas created using generative AI tools that simulate human features, voices, and behaviors. They post lifestyle content, interact with followers, and even secure brand endorsements—all without existing in the physical world.From Bigfoot vlogs to algorithmically created personas, hyperrealistic AI content is redefining the boundaries of digital creators. These influencers are entirely virtual personas created using generative AI tools that simulate human features, voices, and behaviors. They post lifestyle content, interact with followers, and even secure brand endorsements—all without existing in the physical world.Consumer & Gadgets[#item_full_content]

Santa Ana, California-based entrepreneur Charlie Chang spent years posting finance videos on YouTube before he made a profit.Santa Ana, California-based entrepreneur Charlie Chang spent years posting finance videos on YouTube before he made a profit.Business[#item_full_content]

As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer programs operate on clear logic—”If A happens, then do B”—AI models, especially neural networks, make decisions that are difficult to trace back to any single rule or line of code. As a result, traditional program analysis techniques such as code review are ineffective in addressing neural networks’ vulnerabilities.As AI becomes a ubiquitous part of everyday life, people increasingly understand how it works. Whereas traditional computer programs operate on clear logic—”If A happens, then do B”—AI models, especially neural networks, make decisions that are difficult to trace back to any single rule or line of code. As a result, traditional program analysis techniques such as code review are ineffective in addressing neural networks’ vulnerabilities.Machine learning & AI[#item_full_content]