AI in space requires new cooling tech and cheap rockets

Oracle shares fell approximately 11% in premarket trading, following a disappointing earnings report that raised investor concerns across the tech sector, particularly affecting AI-related stocks. This decline marks a significant downturn for the company amid ongoing scrutiny of its financial performance.

A Microsoft study reveals that 37.5 million conversations with its AI Copilot demonstrate a significant integration of AI into daily life, spanning work-related discussions during the day and personal inquiries at night. This highlights the growing reliance on AI for various aspects of human interaction.

AI technology is increasingly integrated into the legal field, offering rapid information retrieval and document analysis. However, the reliance on AI as a replacement for human lawyers raises concerns about trust, ethics, and the future of client representation. Lawyers must balance the benefits of AI with the need for accountability and understanding in legal practice.

A recent Pew Research Center poll reveals that 30% of US teens interact with chatbots daily, highlighting the increasing integration of AI technologies into their lives for both educational and personal purposes. This trend reflects a growing acceptance and reliance on AI tools among younger demographics.

Recent advancements in artificial intelligence (AI) reveal that these systems can absorb cultural values by mimicking how children learn. However, the challenge lies in the fact that values vary significantly across different cultures, which raises concerns about the effectiveness of AI trained on diverse internet data for various cultural contexts.

Google has launched an updated version of its Deep Research Agent, making it accessible to developers for the first time through a new API. This release is part of Google's ongoing efforts to enhance its AI capabilities and improve complex web search functionalities with an open-source benchmark.

A recent study highlights the importance of human decision-making in AI-supported recommender systems, which are designed to provide optimal suggestions for users. These systems must navigate the complexities of serving diverse target groups while considering the interests of various stakeholders, including service providers and municipalities.

Google DeepMind has introduced a new benchmark called FACTS, designed to assess the reliability of AI models more thoroughly. The results indicate that even leading models like Gemini 3 Pro and GPT-5.1 exhibit significant shortcomings in factual accuracy, highlighting the challenges these technologies face in delivering truthful information.