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以真实的彩虹邨清拆重建为背景的港剧《日落下的彩虹》，收获了“真诚又有点笨拙”“纯手搓的港式温情剧”等好评，有人更表示“港剧又可以了”。 作者 | S 编辑 | 桃子酱 题图 |《日落下的彩虹》 或许你曾经刷到过这样一张照片：背景是错落有致、五彩缤纷的楼宇外墙，前景是同样色彩丰富的篮球场，其间点缀着几棵颇具热带风情的棕榈树。 （图/视觉中国） 这里是位于中国香港九龙黄大仙区的彩虹邨。它是香港最早兴建的公共屋邨之一，外墙采用红、橙、黄、绿、青、蓝、紫七色设计，象征彩虹（2014…

神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 编者按：AI大幅提升工作效率的同时，正在悄悄夺走新人积累实战经验的基础岗位。航空领域的历史教训警示我们，完全依赖自动化会造成人的技能退化。加入人工干预环节，短期看似牺牲效率，实则是为未来储备专业判断力，避免危机来临之时，无人能够兜底。本文来自编译，希望对您有所启发。 图片来源：JAMES STEINBERG 十多年前，我牵头为美国一座核电站设计一套开创性的全数字化控制系统。…

神译局是36氪旗下编译团队，关注科技、商业、职场、生活等领域，重点介绍国外的新技术、新观点、新风向。 编者按：“自建专属AI”或是场自嗨。仿真数据显示，对手踩坑经验的提炼效果反超私有数据，中心化路由平台正重构算力分发。文章来自编译。 本月早些时候，Stripe同意以75亿美元收购OpenRouter。 这引发了一阵密集的评论热潮。Slow Ventures的Sam Lessin直言： OpenRouter一点技术含量都没有，不过是个加上了极佳营销手段的API密钥中转站罢了。…

A guardrail classifier is reported as if unsafe were a property of text. It is not: it is a property of a policy, and the policy enters the model through its labels. We exploit an accident of an industrial deployment in which the same ~53k…

Speech anonymization has focused on the acoustic signal, leaving open how much speaker information the transcribed words themselves retain. In this work, we study pairwise speaker and demographic-attribute verification from transcribed spe…

Large language models need effective ways to acquire and use external knowledge beyond what they retain from pretraining. Continued pretraining risks catastrophic forgetting, while retrieval at inference time can add substantial overhead.…

Large-scale action pretraining equips Embodied Foundation Models (EFMs) with strong manipulation capabilities, with particular strengths in generalization and closed-loop robustness, but reproducing such pretraining requires substantial ro…

AI coworkers must coordinate tools, communicate across turns, and act on changing workspace state while respecting workflow constraints. Constructing training experience for these capabilities requires coherent requests, service records, t…

Multi-turn image editing aims to modify an image according to a sequence of instructions, enabling more effective interactive visual content creation for users. However, existing methods often exhibit noticeable drift after only a few edit…

People ask conversational AI models about their legal rights, obligations, procedures, and personal situations that may have legal consequences. To study this behavior, we first need to distinguish requests for legal guidance from other le…

Generalizable robot manipulation requires predicting how a scene will evolve, identifying where interactions are feasible, and determining how to act. Action-labeled robot videos directly supervise control but are costly and limited in div…

Coding agents keep working on runs that will fail verification, and asking a frontier model to watch for this is expensive in its own right. We introduce StopLoss, a small external monitor that learns failure recognition from completed tra…

Test-time scaling (TTS) improves large language model (LLM) reasoning by sampling multiple answers, but fixed sampling budgets ignore both query difficulty and the changing energy cost of inference under GPU contention. We measure up to a…

Today, we’re committing a portion of Anthropic’s shares to the Anthropic Public Benefit Fund, a new entity with a structure that increases the stake as the company grows. Subject to stockholder approval, 5% of Anthropic’s shares will be co…

Video Reasoning Segmentation (VRS) requires a model to identify an implicitly described target and predict its pixel-level mask trajectory, while resolving the spatial relations and temporal events that determine the answer. Text-only Chai…

Neural simulation of high-fidelity deformable bodies is a foundational challenge in computer graphics and physical AI. Long-horizon prediction for high-resolution 3D volumetric meshes is hard: autoregressive methods are prone to error accu…

Bimanual manipulation with dexterous hands has attracted growing attention in research on robotic action models. However, few studies have developed benchmarks specifically tailored for dexterous manipulation, leaving the dexterous manipul…

Model--harness co-evolution has emerged as a prominent paradigm for recursive self-improving (RSI) agents, jointly evolving their execution scaffolds and intrinsic capabilities. We study the persistent yet often overlooked brain--body mism…

Flow-matching vision-language-action (VLA) models generate an action chunk by iteratively denoising Gaussian noise, but typically execute only a short prefix before replanning with updated observations. Under this receding-horizon paradigm…

Digital art generation has undergone a massive paradigm shift, moving from static image synthesis to dynamic video generation that can mimic the human painting process. While existing models can synthesize visually stunning time-lapses of…