"我们今天已经收到大概30份简历，主要想找AI设计师、AI视频后期等既懂AI技术又有设计能力的复合型人才。"11月15日，在 被一波又一波求职者挤得水泄不通的"百万英才汇南粤"文化产业专场招聘会现场，深圳兔展智能科技有限公司HRBP刘健告诉南 方财经记者。 这是一场广东文化产业的集中"揽才"，集聚南方财经、腾讯科技、三七互娱、薄荷糖影业等超百家文化企业同场"竞聘"，合计 释放岗位超1.8万个，其中面向大学生的新就业岗位近7000个，月薪在6000元至2万元不等，报名参会人员预计超4000人。 招聘会现场，南方财经记者注意到，"AI+"复合型人才需求明显走热，从传统媒体集团到文化科技企业，均释放出了不少人工智 能相关岗位。其中，既包括AI研发工程师、AI算法工程师等技术型岗位，也包括AI编导、AIGC视频设计师等复合型岗位。 用人需求变化背后，是广东文化产业的整体转型。2025年年中，广东主流媒体全面启动系统性变革，其中以先进技术驱动媒体 转型成为新一轮改革关键词之一。同期，广东文化产业也加速迈向智能化时代，岭南文化大模型、文化元宇宙空间等一批新技 术、新产品不断涌现。 当以AI为代表的新技术开始重塑内容生产与 ...

Core Insights - Datadog AI Research has launched two significant projects: Toto, an open-weights foundation model for observability, and BOOM, the largest public benchmark for observability metrics [1][2][4] Group 1: Datadog AI Research Initiatives - Toto is the first open-source foundation model focused on observability, trained on Datadog's internal telemetry metrics, achieving superior performance compared to existing time series foundation models (TSFMs) [2][3] - BOOM provides a comprehensive benchmark with 350 million observations across 2,807 real-world multivariate series, addressing unique challenges in production telemetry [4][5] Group 2: Technical Features and Benefits - Toto's zero-shot forecasting capability allows for immediate anomaly detection and capacity planning without the need for per-series tuning, which is essential for monitoring billions of ephemeral time series [3][5] - BOOM serves as an actively maintained resource for the research community, facilitating advancements in forecasting models specific to observability metrics [4][6] Group 3: Future Directions and Collaboration - Datadog AI Research aims to continuously release AI projects and collaborate with applied AI teams to develop tools that address customer challenges and enhance engineering workflows [5][6] - The open-source nature of Toto and BOOM invites contributions from the research and open-source software communities to advance observability forecasting [6]