Facebook Dating introduces AI-powered 'dating assistant' and 'Meet Cute' features that automatically generate personalized matches and provide dating advice to eliminate endless swiping, as hundreds of thousands create profiles monthly with matches surging 10% annually.
Google DeepMind unveils its third Frontier Safety Framework iteration, introducing new safeguards against AI manipulation risks and addressing threats where advanced models could interfere with human operators' ability to control or shut them down.
UAE's Khazna expands its AI data center footprint globally into Turkey, France, Italy, and Kenya, rivaling Western tech giants like Google, Amazon, and Microsoft, as it leverages cutting-edge cooling technology and partnerships to underpin UAE's economic diversification and digital ambitions.
TikTok secures a deal that shifts majority ownership to Americans, giving the U.S. control over its algorithm, resolving national security concerns and allowing the popular app to continue operating in the country.
Apple unveils its fully custom chip suite for the new iPhone Air, including the AI-focused A19 Pro chip, N1 wireless chip, and C1X modem chip, while planning US production of some custom chips at TSMC's Arizona facilities.
Experts convene to explore generative AI's potential for developing 'world models' that learn like infants and enabling breakthroughs in human-robot collaboration across industries.
In a concerning move, Kim Jong Un prioritizes the rapid development of AI technology and serial production of military drones for North Korea's unmanned weapons systems, signaling an escalation in the country's military capabilities.
Major tech giants rush towards superintelligent AI within years, sparking warnings over potential catastrophic risks due to AI systems' unpredictable behaviors and lack of control mechanisms.
OpenAI raids Apple's talent pool and supply chain, poaching veterans and courting manufacturers to build AI hardware like speakers and wearables, posing a direct threat to Apple's hardware business by late 2026.
Researchers develop groundbreaking technique to systematically extract factual knowledge and reasoning patterns from large language models like GPT-OSS, Llama 3, and Qwen3-Coder, enabling model analysis, knowledge transfer, and data augmentation.