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火山引擎发布Seedream5.5:像素级可控编辑，百轮修改不崩坏火山引擎11月9日发布豆包图像创作模型Seedream5.5，支持像素级可控编辑、多轮编辑一致性与原生RGBA透明素材生成，本周上线火山方舟。新模型写实感更接近实拍，画面自然且具电影感。采用“输入图+输出图”计费，文本Token免费，2K方图编辑单张0.28元，较上代便宜60%，生成速度快近40%，面向开发者与企业开放接入。 刚刚 5.1K
火山引擎于11月9日发布豆包图像创作模型Seedream5.5，具备像素级可控编辑、多轮编辑一致性及原生RGBA透明素材生成能力，已上线火山方舟。相比上代Seedream5.0Pro，写实感更接近实拍，生成速度提升40%，2K方图编辑单张仅0.28元，降价60%。模型在连续修改中保持主体特征、构图与光影一致，支持最多100层透明素材分层输出，并优化文字渲染与光影材质表现，适用于电商营销、广告设计、影视游戏资产等场景。
阿里云Token Plan全面提额:Pro档直降187元，Lite入门仅19.5元阿里云今日起上调Token Plan四档套餐额度，并大幅下调Pro档价格。Lite月费39元，额度1.15万升至2万Credits，新客首月19.5元；Essential 79元，2.55万升至4.5万，新客首月39.5元；Standard 139元，4.5万升至8万；Pro月费499元降至312元，额度18万升至20万Credits，降幅37%。Credits为统一抵扣单位。 刚刚 6.2K
阿里云自今日起对Token Plan套餐进行额度提升和价格调整，Lite、Essential、Standard、Pro四档套餐额度均上调，其中Pro档月费从499元降至312元，额度由18万增至20万Credits，降幅达37%。新客首月优惠价更低，老用户当前周期额度自动补齐，价格不变，下一周期起执行新标准。Credits为统一抵扣单位，可用于调用文本、图像、语音模型及部分智能体工具。
靠一款AI装扮游戏，深圳团队拿下亿元融资
作者：覃毅 编辑：谭璐 图源：网络一款叫《森盒SenBox》的手机游戏，在小红书上收获不小的声量。它的玩法并不复杂：用户输入一句话、上传一张参考图，就能生成一个可以漫游、可以修改、能出效果图的三维室内空间。无论是出租屋、卧室还是书房，用户都可以在手机里试一遍想要的样子。游戏内测以来，累计用户已超150万，曝光超4亿次。其出品方是生境科技，2023年在深圳南山成立，专注三维空间AI生成技术，并将其应用于家装、影视、游戏和电商等领域。“文本有上下五千年的数据，图像有上百年的数据，都足够喂养大模型；但3D只有三四十年历史，数据量极少。”10月中旬，生境科技联合创始人庄子扬接受21创投记者专访时表示，...
China‑bound Apple Intelligence enters beta testing in 4 days! Alibaba officially announces full integration of Qwen.
Author: Li Shuiqing | Editor: Xin Yuan — According to Zhidongxi (WeChat official account: zhidxcom), on October 31, Alibaba announced a partnership with Apple to integrate Qwen into Apple Intelligence. Chinese users will be able to directly access Qwen’s capabilities for text and image understanding, content generation, and more, within Siri, writing tools, and visual intelligence features. These functions will begin beta testing starting November 4 alongside the latest iOS Developer Beta version, and...
New research indicates that the cost of using AI models varies significantly across different languages, with token consumption differing by up to 17 times.
IT Home reported on October 30 that users of less widely spoken languages may face higher costs when using AI services compared to users of English and other major languages. According to a report by foreign media outlet Rest of World on the 28th local time, a study released last month by the Artificial Intelligence Language Equity Research Consortium found that AI models can consume vastly different numbers of tokens when processing various languages. Tokens are the basic units through which AI models process text and other data...
DouBao Work has officially integrated with DeepSeek, Kimi, and GLM, making enterprise procurement hassle-free.
On October 29, according to Kuai Technology, DouBao Work under ByteDance launched a brand-new third-party large model service for corporate clients. This service breaks the previous practice of companies separately purchasing models from different vendors; users can now seamlessly switch among multiple mainstream large models within the same workspace, tailored to tasks such as long-text processing, code writing, and logical reasoning. The initial rollout includes three industry-leading models.
教育部 78页《中国教师生成式人工智能应用报告》深度解读，8.6万份问卷调查，AI把课都备好了
《中国教师生成式人工智能应用报告·2026》由教育部教师工作司指导，教育部教育技术与资源发展中心（中央电化教育馆）组编，78 页，七章。它不教怎么用人工智能备课，而是用 30 个省份的调查数据回答一句更硬的话：讲台这个位置，还剩什么。数据规模先摆出来：8.6 万份有效问卷，430 万字文本材料，覆盖江西、云南、河南、...
Liquid AI unveils the LFM3 multimodal model family, emphasizing efficient, specialized intelligence
Recently, Liquid AI officially launched its next-generation foundation model family, LFM3. The first release includes six models with approximately 2 billion parameters, covering text, vision, audio, omni-modal, and decision-making capabilities—all built on the LFM3-1.7B-Base foundation and achieving a pre-training throughput of 22 trillion tokens. This series adopts a novel tri-hybrid layer architecture, integrating gated short convolutions, sliding windows, and other mechanisms, prioritizing fewer parameters and higher efficiency.
Mac 用户狂喜：Ollama 终于能让 AI 开口说话了，还不用联网
IT之家 10 月 27 日消息，本地运行 AI 模型的开源平台 Ollama 于 10 月 24 日宣布，其 Mac 应用正式支持文本转语音（TTS）生成，Windows 和 Linux 版本也将随后跟进。科技媒体 9to5Mac 认为这是 Ollama 首次加入语音生成能力，让本地 AI 从“能读会写”进一步迈向“能开口说话”。首个支持的语音模型是 Gradium 开发的 Pho...
Research has released the Latin-specific language model LAMB, along with two new corpora: Acervus and Corpus Trinum.
On October 26, 2026, arXiv published the paper arXiv:2610.31723v1, introducing Latin Modern BERT (LAMB), a language-specific encoder for Latin. Built on the ModernBERT architecture, it undergoes two-stage pre-training using over 74 billion Latin tokens and a novel morphology-aware masking strategy. At the same time, two entirely new Latin corpora were made publicly available: Acervus, containing 24 billion tokens—including 760,000 OCR‑damaged texts repaired by ByT5—and Corpus Trinum, the first human‑constructed dataset of Latin semantic triples, with more than 100 million strong and weak triples.