Mural Launches Mural AI Feature Integrated with Microsoft Copilot


Founder of Xiaomi, Lei Jun, predicts that AI will deeply transform traditional industries in the next five years, proposing the idea that every industry is worth redoing with AI. He uses the Xiaomi car factory as an example to illustrate how AI and traditional manufacturing integration can significantly improve efficiency: using AI visual models to detect die-cast parts, reducing detection time to 2 seconds, with efficiency 10 times that of manual work, and accuracy improved by more than 5 times.
Early 2025, Trump's tariff pressures affected global technology companies. Starting in October, markets worried about the AI bubble, and investors became more cautious toward high-valued AI companies. As a major AI investor, SoftBank Group saw its stock plummet by 40% from October 31 to November 26, with a loss of nearly $50 billion in market value. This volatility was caused by multiple factors, not a single event.
HSBC report states that OpenAI faces significant financial pressure, needing at least $207 billion (about 1.47 trillion Chinese yuan) in financing before 2030 to support its massive computing power demands. The funding gap stems from partnerships with Microsoft and Amazon, signing cloud computing agreements worth $250 billion and $38 billion respectively, with a combined computing power total of 36 gigawatts.
Lisi Capital successfully raised $289 million, exceeding its original target. The fund will focus on investing in Chinese AI startups. The fund is managed by Cao Xi, former partner at Sequoia China, and Tim Wang, former partner at Boyu Capital, demonstrating confidence in China's technological innovation.
Li Auto's Q3 2025 financial report shows total revenue of 27.4 billion yuan, a 36.2% year-over-year decline; net loss of 624.4 million yuan, compared to a profit of 2.8 billion yuan in the same period last year. In a conference call, management emphasized that the company is accelerating its transformation in autonomous driving and AI fields. The self-developed AI inference chip M100 has made significant progress, indicating future strategic adjustments.