预见AI：人类进入新“经验时代” 唯有人造太阳能喂饱AI

Group 1: AI and Innovation - The 2025 Inclusion·Bund Conference in Shanghai focused on "Reshaping Innovation Growth," featuring discussions on AI as a key theme, with over 40 forums and a significant technology exhibition [1] - Richard Sutton, the 2024 Turing Award winner, emphasized that humanity is entering a new "Era of Experience," where AI's replacement is inevitable, and the data era is nearing its end [3][4] - Sutton highlighted that the core of intelligence lies in experience, which involves observation, action, and reward, and pointed out the need for continual learning and meta-learning technologies to unlock AI's full potential [3] Group 2: Industry Perspectives - Wang Jian, founder of Alibaba Cloud, stated that open data and computing resources are essential for advancing AI, marking a shift from code open-sourcing to resource sharing [5][6] - Wang also introduced the concept of "computing satellites," which will leverage AI in space exploration, indicating a new frontier for AI applications beyond traditional devices [6] - Wang Xingxing, CEO of Yushu Technology, expressed optimism about the AI era, noting that small organizations will increasingly have explosive growth potential, despite existing challenges in data quality and model algorithms [7][8] Group 3: Organizational Challenges - McKinsey's China Chairman, Li Yili, identified organizational culture as the biggest bottleneck in AI development, advocating for CEO-led transformations focused on profitability rather than just application scenarios [8][9] - Li outlined three stages of globalization for Chinese enterprises, emphasizing the need for a global perspective and diverse collaboration models to enhance growth opportunities [10] Group 4: Energy and AI - Professor Sun Xuan from the University of Science and Technology of China proposed that nuclear fusion is the key to meeting the energy demands of AI, with 1 gram of fusion fuel equating to the energy of 8 tons of oil [11][12] - Sun highlighted the significant energy gap that AI could create, predicting that AI's energy consumption could exceed 20% of the Earth's total energy supply in the future [11] - The fusion industry is seeing increased investment, with a total of $7.1 billion raised globally, indicating a growing interest in commercializing fusion technology [12]