Top 10 AI News
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Why America’s Power Grid Can Withstand the $2.5 Trillion AI Datacenter Boom
By Christopher Helman (Forbes Staff) – November 27, 2025
The U.S. power infrastructure has enough capacity to handle the massive energy demands of the AI data center expansion. According to Forbes, by utilizing solar, batteries, natural gas and new nuclear sources, experts believe America can support the $2.5 trillion construction boom in AI data centers.
Amazon’s Robotaxi Unit Launches in San Francisco Without Steering Wheels—or Fees
By Alan Ohnsman (Forbes Staff) – November 18, 2025
Amazon’s autonomous driving subsidiary, Zoox, has started offering free robotaxi rides in San Francisco. The vehicles are purpose-built electric cars with no steering wheel, mirrors or pedals. Zoox co-founder Jesse Levinson says the company is close to securing full regulatory approval to expand its driverless taxi service.
Alibaba’s cloud business revenue jumps 34% amid AI surge
By The Associated Press – November 25, 2025
China’s Alibaba reported a 34% year-over-year increase in cloud revenue, driven by growing demand for AI-powered services. The AP notes this surge reflects strong adoption of cloud-based AI tools across Asia, as businesses deploy more artificial intelligence applications in their operations.
One Tech Tip: How to live with Meta’s unremovable AI assistant
By The Associated Press – November 2025
AP Technology explains that Meta’s built-in AI assistant (branded as “Meta AI” on Facebook and Instagram) cannot be fully turned off by users. However, the article provides tips on limiting its presence, such as muting notifications or using ad preferences. In short, you can’t completely disable the AI helper, but you can control how much it appears.
MIT unveils AI model that can generate molecules for tough diseases
MIT News – November 25, 2025
MIT researchers introduced “BoltzGen,” a generative AI model designed to create protein-binding molecules from scratch. This innovation could accelerate drug discovery by suggesting candidate molecules for diseases that are currently difficult to treat. Early results show BoltzGen can propose viable chemical structures targeting challenging biological problems.
Researchers find a flaw that makes large language models less reliable
MIT News – November 26, 2025
MIT reports a newly identified weakness in generative AI: some large language models (LLMs) wrongly associate specific sentence patterns with topics. This causes them to repeat familiar phrases instead of reasoning through novel situations. The study suggests further improvements are needed to ensure AI models correctly interpret a wide range of input without bias.