Group 1 - DeepSeek V3.2 has been officially released, enhancing Agent capabilities and integrating reasoning and thinking [1] - Doubao Mobile Assistant has released a technical preview version [1] - Tsinghua University has established a research institute for embodied intelligence and robotics [1] Group 2 - Didi's autonomous driving service is undergoing trial operations in Guangzhou, offering all-weather, fully unmanned Robotaxi services [2] - HSBC has formed a strategic partnership with Mistral AI to enhance the application of generative AI in banking operations [2]

衡宇 发自 奥特赛德 量子位 | 公众号 QbitAI 突袭！ ChatGPT发布三周年，DeepSeek嚯一下发出两个模型： 前者聚焦平衡实用 ，适用于日常问答、通用Agent任务、真实应用场景下的工具调用。 推理达GPT-5水平，略低于Gemini-3.0-Pro。 下图展示的是DeepSeek-V3.2与其他模型在各类Agent工具调用评测集上的得分 ——特别强调，DeepSeek-V3.2并没有针对这些测试集的工具做特殊训练。 划重点，ICPC达到人类选手第二、IOI人类选手第十名水平。 具体来说，DeepSeek-V3.2侧重于平衡推理能力与输出长度，降低计算开销。 DeepSeek官微推文中写道，"DeepSeek-V3.2模型在Agent评测中达到了当前开源模型的最高水平"。 该模型其他情况如下： DeepSeek-V3.2 DeepSeek-V3.2-Speciale 推理能力比肩GPT-5； 相比Kimi-K2-Thinking大幅缩短输出长度，减少用户等待时间； DeepSeek旗下首个"思考融入工具调用" 的模型，支持思考/非思考双模式工具调用； 基于1800+环境、85000+复杂指令 ...

Core Insights - DeepSeek has released two official model versions: DeepSeek-V3.2 and DeepSeek-V3.2-Speciale [1][4] Group 1: Model Features - DeepSeek-V3.2 aims to balance reasoning capability and output length, making it suitable for everyday use. In benchmark tests, it reached the level of GPT-5, slightly below Gemini-3.0-Pro, while significantly reducing output length compared to Kimi-K2-Thinking, thus decreasing computational overhead and user wait time [3] - DeepSeek-V3.2-Speciale is designed to push the reasoning capabilities of open-source models to the extreme, exploring the boundaries of model capabilities. It is an enhanced version of DeepSeek-V3.2 with long-thinking capabilities and incorporates theorem-proving abilities from DeepSeek-Math-V2 [3] Group 2: Achievements - The V3.2-Speciale model has successfully won gold medals at several prestigious competitions, including IMO 2025, CMO 2025, ICPC World Finals 2025, and IOI 2025 [3] Group 3: Availability - The official web version, app, and API have all been updated to the official version of DeepSeek-V3.2. The Speciale version is currently available only as a temporary API service for community evaluation and research [4]

今日，DeepSeek发布两个正式版模型： DeepSeek-V3.2 和 DeepSeek-V3.2-Speciale。 DeepSeek-V3.2强化Agent能力，官方网页端、App 和 API 均已更新为正式版 DeepSeek-V3.2。 Speciale 版本目前仅以临时 API 服务形式开放，以供社区评测与研究。 ...

Core Insights - DeepSeek has officially released two models: DeepSeek-V3.2 and DeepSeek-V3.2-Speciale, following the experimental version launched two months ago [1] - DeepSeek-V3.2 aims to balance reasoning capability and output length, making it suitable for everyday use, such as Q&A scenarios and general agent tasks [1] - The performance of DeepSeek-V3.2 in benchmark tests is comparable to GPT-5 and slightly lower than Gemini-3.0-Pro, with significantly reduced output length compared to Kimi-K2-Thinking, leading to lower computational costs and reduced user wait times [1] Model Specifications - DeepSeek-V3.2-Speciale is designed to push the reasoning capabilities of open-source models to the limit, serving as an enhanced version of DeepSeek-V3.2 with theorem-proving abilities from DeepSeek-Math-V2 [2] - This model excels in instruction following, rigorous mathematical proofs, and logical validation, achieving performance on par with Gemini-3.0-Pro in mainstream reasoning benchmarks [2] - DeepSeek-V3.2-Speciale has won gold medals in prestigious competitions such as IMO 2025, CMO 2025, ICPC World Finals 2025, and IOI 2025, with ICPC and IOI scores reaching the second and tenth positions among human competitors, respectively [2] - While the Speciale model significantly outperforms the standard version in complex tasks, it consumes more tokens and incurs higher costs [2] - Currently, DeepSeek-V3.2-Speciale is available only for research purposes and does not support tool invocation, nor has it been optimized for everyday conversation and writing tasks [2]

Core Insights - DeepSeek has released two official model versions: DeepSeek-V3.2 and DeepSeek-V3.2-Speciale [1] - The main goal of DeepSeek-V3.2 is to balance reasoning capability with output length, making it suitable for everyday use cases such as Q&A and general agent tasks [1] - The DeepSeek-V3.2-Speciale version aims to push the reasoning capabilities of open-source models to the extreme, exploring the boundaries of model capabilities [1] Summary by Categories - **Product Launch** - DeepSeek has updated its official website, app, and API to the official version of DeepSeek-V3.2 [1] - The Speciale version is currently available only as a temporary API service for community evaluation and research [1] - **Model Objectives** - DeepSeek-V3.2 is designed for daily applications, focusing on practical scenarios like Q&A and general agent tasks [1] - DeepSeek-V3.2-Speciale is focused on maximizing the reasoning capabilities of the model, aiming to explore its limits [1]

DeepSeek宣布发布两个正式版模型——DeepSeek-V3.2和DeepSeek-V3.2-Speciale。DeepSeek-V3.2 的目标是平衡推理能力与输出长度，适合日常使用，例如问答场景和通用 Agent 任务场景。DeepSeek-V3.2-Speciale 的目标是将开源模型的推理能力推向极致，探索模型能力的边界，目前仅以临时API服务形式开放。 https://t.co/5H2JcHJgeN ...

风险提示及免责条款 市场有风险，投资需谨慎。本文不构成个人投资建议，也未考虑到个别用户特殊的投资目标、财务状况或需要。用户应考虑本文中的任何 意见、观点或结论是否符合其特定状况。据此投资，责任自负。 DeepSeek宣布同时发布两个正式版模型：DeepSeek-V3.2 和 DeepSeek-V3.2-Speciale。DeepSeek-V3.2 的 目标是平衡推理能力与输出长度，适合日常使用，例如问答场景和通用 Agent 任务场景。DeepSeek- V3.2-Speciale 的目标是将开源模型的推理能力推向极致，探索模型能力的边界。 ...

温馨提示 ： 点击下方图片，查看运营团队最新（12月）原创报告（共260页） 说明： 欢迎约稿、刊例合作、行业交流 ， 行业交流记得先加入 "机器人头条"知识星球 ，后添加（ 微信号：lietou100w ）微 信； 若有侵权、改稿请联系编辑运营（微信：li_sir_2020）； 正文： 近期聊二级市场多一些，聊具身智能赛道一级市场少一些；主要原因是一级市场可聊的点不多，聊得深容易被要 求删稿，年初观点现在仍旧适用，聊得潜无外乎资讯输出（融资、订单等），行业创企早期文章基本都聊到过， 除了融资外，其他并没有太大实质进展，因此基本以星球内输出为主。 简单聊一下一级市场：1）赛道仍旧火爆，资本热情不减 （核心原因： 其他赛道可炒的点不多，大模型大厂已涌入，创企 窗口期已过 ） ，行业仍旧存在各种"非共识"，窗口期仍没过，新晋创企源源不断； 2） 技术迎来瓶颈期， 头部创 企从画技术大饼到纷纷聊商业化，在手搓机器人阶段， 大额订单泛滥，以战略订单和数采订单为主；3）商业场 景没有跑通，仍旧停留在科研教育、展览娱乐、数采等场景，轮式会相对快一些；4）头部创企们却已争相IPO （懂得都懂）；整体而言，乱象较多和泡沫较大 ...

Group 1 - The core viewpoint of the articles highlights the rapid growth and transformative potential of artificial intelligence (AI), particularly in China, which is challenging the United States' leadership in the field [1][4] - The Beijing AI Industry White Paper (2025) predicts that the AI industry in Beijing will exceed 450 billion yuan (approximately 450 billion) by 2025, driven by advancements in AI agents and embodied intelligence [1] - The development of edge intelligence is expected to create new application opportunities in devices such as smartphones, personal computers, and smart cars, enhancing their intelligent processing capabilities [1] Group 2 - The rise of powerful and customizable open-source AI models from China, such as DeepSeek's R1 and Alibaba's Qwen, is being adopted by more Silicon Valley companies in the U.S. to reduce costs and improve efficiency [4] - This trend raises discussions about the potential reliance of the U.S. AI industry on foreign technology and the validity of its closed model strategy, despite U.S. companies maintaining an edge in AI capabilities [4] - The emergence of Chinese models and their open strategies are challenging the U.S. leadership in the open-source AI domain [4]