Groundbreaking research reveals that AI language models wastefully activate their entire networks for social reasoning tasks while actually using only a tiny specialized subset of parameters, creating massive inefficiency compared to human brains and pointing toward revolutionary energy-saving AI designs.
New research testing 24 advanced AI language models reveals they systematically fail to distinguish between belief and knowledge, with accuracy plummeting from over 90% to as low as 14.4% when processing first-person false beliefs, exposing critical flaws in their reasoning capabilities.
Anthropic unveils massive $50 billion investment to build cutting-edge AI data centers in Texas and New York, partnering with Fluidstack to create nationwide infrastructure that will support America's rapidly growing artificial intelligence computing demands and foster collaboration between researchers and industry leaders.
MIT researchers unveil SEAL, a groundbreaking technique that enables AI models to permanently learn new information by creating their own study sheets and updating internal weights, boosting accuracy by 15% on question-answering and over 50% on skill-learning tasks.
Wikipedia demands payment from AI companies as tech giants increasingly rely on the platform's human-edited content to prevent their AI models from collapsing, with the Wikimedia Foundation calling for proper attribution and financial support to sustain operations that provide the transparent, verifiable knowledge that AI systems desperately need but cannot …
Chinese AI firm Moonshot AI releases Kimi K2 Thinking, an open-source reasoning model that outperforms GPT-5 and Claude Sonnet 4.5, achieving record 44.9% on Humanity's Last Exam benchmark and marking a potential turning point as Chinese models now rival leading US systems.
Chinese AI lab Moonshot releases Kimi K2 Thinking, a free open-source reasoning model that reportedly outperforms GPT-5 and Claude Sonnet 4.5 on major benchmarks while costing just $4.6 million to train, potentially disrupting the billion-dollar AI market and intensifying US-China competition.
Google Research unveils Nested Learning, a revolutionary AI paradigm that solves catastrophic forgetting by treating models as interconnected, multi-level systems where components update at different frequencies, enabling machines to learn new tasks without losing previous knowledge.
MIT researchers unveil a revolutionary coding framework that transforms AI-generated software by organizing code into modular 'concepts' and explicit 'synchronizations,' dramatically improving safety and reliability while enabling AI assistants to propose new features without dangerous hidden side effects.
Nvidia CEO Jensen Huang warns China is winning the AI race despite U.S. chip bans, citing that 50% of global AI researchers and most leading open source models come from China while Beijing subsidizes energy costs for local alternatives.