以下是内容的中文翻译： 在这一集播客中，马克·扎克伯格讨论了Meta在人工智能领域的最新进展，特别是重点介绍了Llama 4以及Meta AI在各个平台上的整合。他强调Meta AI已经拥有近10亿月活跃用户，表明其普及程度很高。个性化是关键，Meta正在利用来自信息流、个人资料、社交图谱和AI互动中的用户上下文来增强用户体验。 扎克伯格对开源AI的前景持乐观态度，他注意到竞争日益激烈，创新也超越了Meta本身。他承认目前存在专业化趋势，一些模型在数学和编码等推理任务中表现出色，但他强调对于面向消费者的应用来说，延迟和单位成本的智能至关重要。他表示Meta也在开发一个推理模型，最终将会发布。 他谈到了对AI模型进行基准测试的挑战，强调Meta更重视Meta AI产品中对用户的实际价值，而不是通用的基准测试。他认为这些基准测试很容易被“游戏化”，并且通常与用户的实际需求不符。扎克伯格表示，Meta的北极星是其产品中的用户满意度和反馈。 扎克伯格同意AI将自动化软件工程和AI研究这一前提，这可能导致智能爆炸。Meta正在积极开发编码代理和AI研究代理，以推进Lama的研究。他预测，在12到18个月内，AI将编写这些工作的大部分代码，在质量和测试方面超越人类的能力。他认为这种编码方面的进步是通向通用人工智能(AGI)过程中的重要但单一的组成部分。 尽管如此，扎克伯格认为，实现AGI不仅仅依赖于编码自动化，还需要物理基础设施、供应链发展、监管框架，以及至关重要的用户共同进化。用户学习如何与AI互动，以及AI向用户学习，都将是这一过程不可或缺的部分。 他认为，Meta在包括WhatsApp在内的各个平台上的分发，以及即将推出的Meta AI应用程序，对于收集训练数据和构建全面的AI助手至关重要。 扎克伯格承认人们对AI潜在的滥用或不健康关系的担忧。他认为过早地限制AI的使用会扼杀创新，他说：“人们很聪明；他们知道什么对他们的生活有价值。”他相信随着AI的发展，社会将找到表达其价值的方式。他提到了这样一个观点，即平均而言，人们拥有的朋友并没有他们希望的那么多。在拥有AGI的未来，如果用户能够接受，AI有可能弥合这一差距。 他解决了人们对AR技术消除奖励机制摩擦的担忧，澄清说，特定的多任务处理演示只是例证，并非最终产品目标。他强调，眼镜的设计优先考虑用户舒适度。 扎克伯格认识到中国越来越重视构建AI的物理基础设施，并强调美国需要简化数据中心和能源生产。他承认出口管制在阻碍中国AI发展方面的作用。他强调了国际竞争对手模型中嵌入的安全和漏洞。 他为Lama许可证辩护，称其在开放源代码访问与确保Meta能够与大型云公司就商业用途进行对话之间取得了平衡。他说，这并非为了阻止其他AI实验室使用Lama模型。 谈到AI治理时，扎克伯格强调Meta有责任承担其决策并接受社区反馈，而不是过多地依赖外部参与者。他认为与政府保持良好关系很重要。 最后，扎克伯格谈到了从AI中释放价值的问题，他认为AI的各种用途都将有商业模式。他认为Meta在这方面的基本价值观是，他们希望尽可能地为世界上更多的人服务。他预计AI带来的文化和社会丰富将产生巨大的影响。

In this podcast episode, Mark Zuckerberg discusses Meta's latest advancements in AI, specifically focusing on Lama 4 and Meta AI's integration across various platforms. He highlights that Meta AI has almost a billion monthly users, indicating significant adoption. Personalization is a key focus, leveraging user context from feeds, profiles, social graphs, and AI interactions to enhance the user experience. Zuckerberg is optimistic about the open-source AI landscape, noting the increasing competition and innovation beyond just Meta. He acknowledges the specialization happening, with some models excelling in reasoning tasks like math and coding, but emphasizes the importance of latency and intelligence per cost for consumer-facing applications. He states that Meta is also developing a reasoning model to launch eventually. He touches on the challenges of benchmarking AI models, emphasizing that Meta prioritizes real-world user value within Meta AI products over generic benchmarks, which he believes are easily gameable and often don't align with actual user needs. Zuckerberg states that Meta's North Star is user satisfaction and feedback within its products. Zuckerberg agrees with the premise that AI will automate software engineering and AI research, potentially leading to an intelligence explosion. Meta is actively developing coding agents and AI research agents to advance Lama research. He predicts that within 12 to 18 months, AI will write most of the code for these efforts, surpassing human capabilities in quality and testing. He believes this coding advancement is an important, but singular part of this AGI process. Despite this, Zuckerberg argues that achieving AGI is not solely dependent on coding automation but also requires physical infrastructure, supply chain development, regulatory frameworks, and, critically, user co-evolution. Users learning how to interact with AI, and AI learning from users, will be integral to the process. He believes that Meta's distribution across its platforms, including WhatsApp, and the upcoming Meta AI app are crucial for gathering training data and building comprehensive AI assistants. Zuckerberg acknowledges concerns about potential misuse or unhealthy relationships with AI. He argues that prematurely restricting AI use stifles innovation, stating, "people are smart; they know what is valuable in their lives." He believes as AI evolves, society will find ways to articulate its value. He touches on the idea that, on average, people don't have as many friends as they would like. In a future with AGI, AI could potentially bridge that gap, if users accept it. He addresses worries about the removal of friction for reward hacking by AR technology, clarifying that specific multitasking demos are just illustrations and aren't a final product goal. He emphasizes that the glasses' design priority will be user comfort. Zuckerberg recognizes China's increasing focus on building physical infrastructure for AI and highlights the need for the US to streamline data center and energy production. He acknowledges the role of export controls in hindering Chinese AI development. He highlights the security and safety vulnerabilities that are embedded into international competitors models. He defends the Lama license, stating that it balances open-source access with ensuring Meta can engage in conversations with large cloud companies about commercial use. He states that it is not about stopping other AI labs from using the Lama model. Touching on AI governance, Zuckerberg emphasizes Meta's responsibility to own its decisions and take community feedback, but not defer too much to outside actors. He believes it is important to have good relationships with the government. Finally, Zuckerberg touches on unlocking value from AI, he believes there will be business models for all the various uses of AI. He believes Meta's basic value on this is they want to serve as many people in the world as possible. He expects the cultural and social enrichment from AI will have massive effects.