阿里Qwen技术负责人林俊旸：模型即产品，做模型就是在做产品

Core Insights - The relationship between foundational models and agents is emphasized, with the assertion that "models are products," indicating that developing foundational models is akin to creating market-ready products [1][3][5] Group 1: Development of Agents - With the advancement of active learning, agents will possess the capability for long-term custodial work, evolving and determining their own action paths during the execution of general tasks, which places high demands on model capabilities [3][5] - Agents can transition into both virtual and physical worlds, leading to the concept of embodied reasoning, which enhances their functionality [3][5] Group 2: Interaction with Environment - The potential of agents is significantly influenced by their deep interaction with the environment, highlighting the importance of continuously understanding users and their surroundings [3][5] - Currently, the focus is primarily on digital environments, but future advancements may allow agents to engage in more real-world interactions and operations, enabling them to undertake long-term, high-value tasks [3][5] Group 3: Market Opportunities - The discussion on whether agents belong to large corporations or startups reveals that the long tail of opportunities in AI is particularly intriguing, suggesting that the real allure of AI lies in addressing these less prominent areas [3][5]