InfoQ 播客：2026 年 AI、ML 与数据工程趋势报告
原标题：Podcast: AI, ML, and Data Engineering InfoQ Trends Report 2026
AI 摘要
InfoQ 的 AI、ML 与数据工程编辑团队联合外部嘉宾 Chip Huyen 等人录制播客，讨论 2026 年 AI 与 ML 领域趋势。讨论要点包括语言模型从大模型转向小模型、推理模型兴起、AI 智能体从个人走向团队和企业、TypeSafe AI 的 Jev 等 System One 模型因推理更快成本更低而获得更多采用、AI 评估受到关注，以及物理 AI 的显著进展。嘉宾还预测了机器人公司创新、更便宜更快的模型、能源与基础设施限制等未来方向。
正文节选
In this episode of the podcast, members of the InfoQ AI and ML editorial staff and friends of InfoQ discuss the current trends in the domain of AI, ML and Data Engineering. One of the regular features of InfoQ are the trends reports, which each focus on a different aspect of software development. These reports provide the InfoQ readers and listeners with a high-level overview of the topics to pay attention to this year. InfoQ AI, ML and Data Engineering editorial team met with an external guest