Core Viewpoint - ByteDance's latest Doubao model 1.6 series has redefined the competitive landscape in the AI industry, achieving top-tier performance across various modalities and significantly enhancing its capabilities in reasoning, mathematics, and multimodal understanding [1][12][20]. Group 1: Model Performance and Achievements - Doubao model 1.6 has achieved scores above 700 in both science and liberal arts in the Haidian District's mock exam, with a notable increase of 154 points in science compared to the previous version [2][3]. - The Seedance 1.0 Pro model has topped global rankings in both text-to-video and image-to-video categories, showcasing its superior performance [4][5]. Group 2: Pricing and Cost Structure - The pricing model for Doubao 1.6 has been redefined, offering a unified pricing structure regardless of the task type, with costs based on input length [13][18]. - The cost for generating videos using Seedance 1.0 Pro is significantly low, at 0.015 yuan per thousand tokens, allowing for the generation of 2,700 videos for 10,000 yuan [11][12]. Group 3: Model Features and Capabilities - The Doubao model 1.6 series consists of three models: a comprehensive model, a deep thinking model, and a flash version, each designed for specific tasks and capabilities [23][24]. - The Seedance 1.0 Pro model features seamless multi-camera storytelling, stable motion, and realistic aesthetics, enhancing the video generation experience [38][49]. Group 4: Market Impact and Future Trends - The daily token usage for Doubao models has surged to over 16.4 trillion, marking a 137-fold increase since its launch [73]. - ByteDance's Volcano Engine holds a 46.4% market share in the public cloud model invocation, indicating its strong position in the industry [74]. - The transition from generative AI to agentic AI is highlighted as a key focus for future developments, emphasizing deep thinking, multimodal understanding, and autonomous tool invocation [79][80].

作者｜冬梅 字节 Top Seed 启动 2026 届招聘，瞄准顶尖博士 4 月 27 日，字节跳动 Seed 在其官微上发布了一则招聘启示，宣布正式启动 2026 届 Top Seed 大模型顶尖人才校招计划， 研究课题包括大语言模型、机器学习算法和系统、多模态生成、多模态理解、语音等方向，基本覆盖大模型研究各个领域， 计划招募约 30 位顶尖应届博士。 值得一提的是，本届 Top Seed 强调不限专业背景，更关注研究潜力，希望寻找具有极强技术信仰与热情、具备出色研究能 力、富有好奇心和驱动力的年轻研究者。 值得注意的是，字节跳动在此次招聘启事中还透露了几位刚毕业的同学已经做出了一些有影响力的研究。 比如，Z 同学构建并开源了首个多语言代码修复基准 Multi-SWE-bench，在 SWE-bench 基础上，首次覆盖 Python 之外的 Java、TypeScript、C、C++、Go、Rust 和 JavaScript 七种编程语言，1632 个真实修复任务，是真正面向"全栈工程"的评测 基准，其数据均来自 GitHub issue，历时近一年构建，以尽可能准确测评和提高大模型高阶编程智能水平。 ...