Application Trends - General-purpose Agent products are deeply integrating tool usage, focusing on completing diverse deep research tasks, with richer content delivery becoming a highlight in the first half of 2025 [1][7] - Computer Use Agent (CUA), centered on visual operations, is being pushed to market and is merging with text-based deep research Agents [1][16] - Vertical application scenarios are beginning to adopt Agent capabilities, with natural language control becoming part of specialized workflows [1][16] - AI programming is currently the core vertical application area, with leading programming applications experiencing record revenue growth [1][19] Model Trends - Model reasoning capabilities are continuously improving through the accumulation of more computing power, particularly in mathematical and coding problems [2][22] - Large models are transitioning to Agentic capabilities, integrating end-to-end training for tool usage, enabling them to complete more complex tasks [2][23] - Large models are beginning to fuse visual and textual inputs, moving towards multimodal reasoning [2][26] - The image generation capabilities of large models have been significantly enhanced, with upgrades in language understanding and aesthetic improvements being the main highlights [2][28] Technical Trends - Resource investment during the training phase is shifting towards post-training and reinforcement learning, with pre-training still having ample optimization space [2][7] - The importance of reinforcement learning continues to rise, with future computing power consumption expected to exceed that of pre-training [2][7] - Multi-Agent systems may become the next frontier paradigm, with learning from interactive experiences expected to be the next generation of model learning methods [2][7] Industry Trends - xAI's Grok 4 has entered the top tier of global large models, demonstrating that large models lack a competitive moat [2][7] - Computing power is a key factor in the AI competition, with leading players operating computing clusters of tens of thousands of cores [2][7] - The competitive gap in general-purpose large model technology between China and the US is narrowing, with Chinese models performing well in multimodal areas [2][7] - AI programming has become a battleground, with leading players both domestically and internationally intensively laying out their strategies [2][7]

这份热度，一如当下蓬勃迸发的人工智能浪潮。在生成式AI掀起的新一轮技术变革中，本届大 会既映照出全球人工智能行业竞逐的脉动，也呈现出中国AI产业从技术突破走向实际价值创造 的路径选择。 无论是洞悉前沿的行业巨擘，抑或是心怀梦想的创业者们，还是心怀好奇的普通观众，每一位 与会者都在努力触摸这股技术洪流带给予个体的时代脉搏。 正如一位AI创业企业参展商写下的，十年后再回望这次人工智能大会和全产业链参与的展会， 会不会成为不少人命运齿轮加速转动的开始？答案应该是肯定的。 今年WAIC投资额超过150亿元 WAIC的规模随AI产业蓬勃发展而持续扩张。 在烈日和暴雨交错之间，为期三天的2025世界人工智能大会（WAIC2025）在上海正式落 幕。 今年大会汇聚了来自70多个国家和地区、1500余位顶尖专家，其中包括12位图灵奖、诺贝尔 奖等顶奖得主，80余位中外院士和多个国际顶尖实验室代表，超过800家企业，全面展现大模 型、多模态与具身智能的发展新趋势和最新成果。 尽管3日大会，骄阳与骤雨在申城轮番上阵，却难掩观众如潮热情。168元的单日展门票被炒 至超千元，明星公司展区水泄不通，有人逛展一日暴走高达3万多步。 从国 ...