Monday, September 14, 2026

U.S. to Seize $7.7M in Crypto Laundered by North Korean Hackers

The DOJ plans to seize $7.7M in cryptocurrency laundered by North Korean IT workers using fake IDs to exploit the crypto ecosystem.

Seoul St. Mary’s Hospital Reaches 20,000 Robotic Surgeries, Marking New Clinical Milestone

Seoul St. Mary's Hospital celebrates 20,000 robotic surgeries, enhancing patient care with advanced single-port techniques for various conditions.

AFC President Praises North Korean Women’s Football as “a Beacon of Excellence in Asia”

AFC President praises North Korea's women's football success, highlighting their four World Cup titles and ongoing development support.

MIT Study Says AI Doesn’t Hold Values—It Mimics Prompts

FutureMIT Study Says AI Doesn’t Hold Values—It Mimics Prompts
MIT research team challenges previous studies claiming AI can hold values / Photo by Shutterstock
MIT research team challenges previous studies claiming AI can hold values / Photo by Shutterstock

A team from the Massachusetts Institute of Technology (MIT) has challenged earlier research that said artificial intelligence (AI) can form its values.

On Wednesday, tech news site TechCrunch reported that MIT researchers analyzed top models from Meta, Google, Mistral AI, OpenAI, and Anthropic. They aimed to test whether AI holds firm views and values, and if those can shift.

The study found that none of the models showed consistent preferences. Their views changed based on how users phrased prompts. Based on these findings, the team concluded that AI only responds differently depending on prompts and lacks a consistent value system. They called it a purely imitative system.

Steven Casper, a doctoral researcher at MIT, said AI models may show preferences that match certain principles in specific cases, but it’s misleading to say they hold general values or opinions based on limited tests.

Mike Cook, an AI researcher at King’s College London, agreed with the MIT study’s conclusions. He said people project meaning onto AI when they claim it resists value changes. He added that the difference between goal optimization and true values in AI is only semantic.

Check Out Our Content

Check Out Other Tags:

Most Popular Articles