The White House has released a policy roadmap aimed at maintaining US dominance in the global AI race. The plan focuses on deregulation to encourage innovation, building AI infrastructure to support research and development, implementing stricter export controls to prevent AI technology from falling into foreign hands, and granting chatbots greater freedom of speech to enhance their capabilities.
OpenAI CEO Sam Altman has stated that certain human jobs will disappear entirely due to AI advancements. He made these comments during a recent speech at a Federal Reserve conference in Washington, where he discussed the growing role of artificial intelligence in various sectors, including healthcare.
Microsoft's recent layoffs of approximately 9,000 employees worldwide have raised concerns about the company's approach to investing in artificial intelligence (AI) technology, such as its MAI-DxO tool, which combines multiple AI models to assess symptoms and deliver diagnoses. The move has sparked debate about whether large-scale AI investments can be balanced with broader cost-cutting measures, potentially impacting the development and implementation of innovative tools like MAI-DxO.
QuickBooks, developed by Intuit, has integrated artificial intelligence and machine learning technologies into its accounting software to simplify core functions, streamline workflows, and improve financial accuracy for small to mid-sized businesses. The platform's AI bookkeeping features and task-specific agents automate previously manual processes, reducing the risk of data entry errors and inefficiencies associated with using multiple disconnected digital tools. Businesses can now focus on growth and strategy as QuickBooks' intelligent automation improves accuracy, reduces administrative burden, and provides real-time financial insights, such as invoice reminders that accelerate payment collection by an average of five days.
Several companies, such as Lockheed Martin and Northrop Grumman, are developing AI-powered products for military sales, including autonomous drones like the MQ-20 Avenger and semi-autonomous systems like the US Army's Tactical Assault Light Operator Suit (TALOS). These systems aim to enhance surveillance, targeting, and decision-making capabilities in combat situations.
Experts are calling for regulations on AI use among children, citing concerns over its impact on teens and young adults. Prinstein warns that dismissing the issue will only lead to more problems, while Ganesh Nair, an 18-year-old, advises embracing challenges as a way to regulate AI use, comparing it to trying to avoid social media in today's digital age.
More than 70% of American teenagers have used AI companions like Character, AI, Nomi, and Replika, with over half conversing with them regularly. Experts warn that the booming AI industry lacks regulation, leaving parents unaware of how their kids are using these tools and the extent of personal information they're sharing. To protect their children, experts suggest starting conversations without judgment, helping teens distinguish between AI companions and real relationships, setting rules for AI use, and getting informed about the technology. Parents should watch for signs of unhealthy attachments and ensure AI companions don't replace human connection, particularly in cases of mental health challenges.
British visitor Jay Ian Birbeck explored the healthy life section of the third China International Supply Chain Expo in Beijing, where he discovered an AI mirror from Dong-E-E-Jiao Co., Ltd that uses artificial intelligence to enhance traditional Chinese medicine's diagnostic methods. He also found a skincare innovation made entirely from fermented rice liquid at Bloomage Biotech's booth, which is being accelerated by the company's synthetic biology pilot transformation platform, bridging labs to mass production and reshaping the future of the beauty industry.
Alibaba Group has launched Qwen3-Coder, an open-source AI model for software development that surpasses domestic competitors DeepSeek and Moonshot AI's K2. The model excels in agentic AI coding tasks and matches the performance of leading US models Anthropic's Claude and OpenAI's GPT-4 in certain areas. Built on a Mixture of Experts architecture, Qwen3-Coder features 480 billion parameters and supports a 256,000-token context window. It set new state-of-the-art results on the SWE-Bench, outperforming rival models from Moonshot AI and DeepSeek in agentic tasks such as software engineering. The model also showed comparable performance to proprietary models like Claude Sonnet-4 from Anthropic and GPT-4.1 from OpenAI in certain areas.