Anthropic Scientist Warns AI Could Kill Humans Within a Decade
An Anthropic research lead estimates over a 10% chance AI could cause human extinction in ten years, amid ethical concerns and internal resignations at…
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Meta Launches Muse, a Personal AI Agent with Built-In Security
Meta debuted Muse, a personal AI agent designed to automate digital tasks with integrated security and privacy features, aiming to win user trust amid…
Motional and MIT Develop Tool to Predict Self-Driving Car Errors
Motional and MIT researchers unveiled CW-Net, an AI module that explains self-driving car decisions in real time, improving prediction of vehicle errors and enhancing…
AI Transforms U.S. Open with Real-Time Player Analytics and Fan Insights
Live AI-driven data feeds and analysis at the U.S. Open are reshaping how players prepare and fans engage, tracking over a billion data points…
Study Warns AI Use Could Erode Managers’ Critical Judgment Skills
Research from the University of Bath warns that overreliance on generative AI may deskill managers by diminishing practical wisdom and critical thinking developed through…
IBM Researchers Accelerate AI and Quantum Deployment Using MIT Collaboration
IBM researchers formerly affiliated with MIT are translating academic AI and quantum computing research into practical industry applications through the MIT-IBM Computing Research Lab
OpenAI, Anthropic, and xAI AI Chatbots Suffer Simultaneous Outages
OpenAI’s ChatGPT, Anthropic’s Claude, and xAI’s Grok experienced rare outages on September 3, 2026, with causes remaining unclear despite overlapping timing
Insurance Claims Adjusters Push Back Against Expanding AI Use
Insurance adjusters voice strong opposition to AI tools used by major insurers, citing errors, increased workload, and job losses amid rapid automation
Younger Workers More Fearful of AI Impact Than Older Employees, Survey Shows
A recent Glassdoor survey reveals Generation Z workers are more pessimistic about AI's effect on jobs compared to older employees, citing fears over job…
New AI Framework Expands Possibilities for Protein Design
Researchers at MIT develop PottsMPNN, a machine-learning tool enhancing protein design by better predicting sequence stability and enabling novel protein creation beyond natural sequences