AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Chinese frontier model outfit Z.ai released GLM-5.3 on Friday, a model hewn from the same codebase as its predecessor GLM-5.2, The post An industrial-scale distillation of models, or subtle benchmaxxing: What developers really think of GLM-5.3 appeared first on The New Stack.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：- YouTube AboutPressCopyrightContact usCreatorsAdvertiseDevelopersTermsPrivacyPolicy & SafetyHow YouTube worksTest new featuresNFL Sunday Ticket

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discover The Best AI Marketing Tools forAI Agents & Workflows Browse 94 AI marketing tools by categoryCompare pricing, explore alternatives, and find your perfect AI marketing stack PopularPaid adsContent creationEmail…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Hi HN, I've been working on Superprez.io because of something that started bothering me more and more with AI-generated presentations. Any AI like Claude, Cursor and ChatGPT can now generate surprisingly good decks — no…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：HEALTH AND WELLNESS Phone scams AI is accelerating elder fraud. Their kids are reckoning with the fallout Madeline Mitchell USA TODAY Updated Aug. 18, 2026, 1:04 p.m. ET It's the kind of call that makes Clayton LiaBraat…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Americans have become increasingly worried about artificial intelligence over the years, and young adults’ concern has continued to climb. Worry over job loss, too, is on the rise. Americans have grown more concerned ab…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The AI industry’s boldest promise right now is that AI will soon improve itself, with almost no need for human oversight. LLMs can already write code, generate synthetic data for training, and optimize the computer chip…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Replit introduces Free Mode, powered by GPT-5.6 Luna, so anyone can turn ideas into working software without worrying about token costs.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Latest commit History 9 Commits 9 Commits Folders and files NameName Last commit message Last commit…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：←All posts Building Shared Memory for AI Agents in Notion As software engineering changes, tribal knowledge is increasingly concentrated not only in a single person's mind, but in a single agent session. Here at Notion,…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Discussion | Link

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Claude now marks AI-generated content. But it does not mark everything the same way. Anthropic currently uses embedded watermarks for text and signed C2PA provenance metadata for supported files. Code sits somewhere in between: it is still text, but its structure gives the watermark fewer places to work. I went into detail about Claude’s watermarks […] The post How to Remove Claude Watermarks from Text, Code, and Files appeared first on Analytics Vidhya.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：At Block, we often build the tools we need ourselves. Berd is a desktop application our teams use to work with AI agents across projects, skills, tools, and models. Today, we’re making Berd open source, sharing the appl…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：4/5votes, no verdict yet Perseus Ledger Perseus Ledger turns activity into verifiable record: actions, changes, supporting evidence, and whether the chain holds perseus.observer(opens in a new tab)

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Latest commit History 168 Commits 168 Commits Folders and files NameName Last commit message Last com…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：1 Join the conversation Follow us Add us as a preferred source on Google A firm that is using AI to locate ancient shipwrecks is sending out a call to seafarers to salvage sunken treasure. The general impression of the…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Notifications You must be signed in to change notification settings Fork 0 Star 3 BranchesTags Open more actions menu Latest commit History 27 Commits 27 Commits Folders and files NameName Last commit message Last commi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：--> [Submitted on 17 Aug 2026] Title:Model Hypnosis: Strong control of AI via additive subliminal effects View a PDF of the paper titled Model Hypnosis: Strong control of AI via additive subliminal effects, by Enric Boi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Frontier AI vs Data Privacy Cloud models are powerful but risky; local models are safe but weak. PlugClaw: Confidential computing in the cloud, execution on local hardware. Use frontier AI or bring your own API key, whi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：--> [Submitted on 17 Aug 2026] Title:Mathematics in the age of AI View a PDF of the paper titled Mathematics in the age of AI, by Terence Tao View PDF HTML (experimental) Abstract:An essay, based on a public lecture del…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 611 Star 1.8k BranchesTags Open more actions menu Latest commit History 847 Comm…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17386v1 Announce Type: new Abstract: Foundation-model policies for robotic manipulation are advancing rapidly on task success, but rigorous evaluation of whether they succeed safely is still lacking. We introduce ManiGuard, a specification-grounded framework for evaluating and improving the safety of foundation-model manipulation, comprising the ManiGuard-Bench task suite and a paired safety-annotated trajectory-generation pipeline. ManiGuard-Bench organizes six contact-rich household task families into 200 locked base tasks along a skill $\times$ constraint taxonomy, with safety specified independently of task success. Each task is evaluated under one in-distribution and four single-axis out-of-distribution perturbations that hold the safety specifi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17324v1 Announce Type: new Abstract: The continuously deformable geometry of modular robots makes it difficult to define a fixed representation for reconfiguration planning and analysis. This letter introduces a square-cell abstraction that maps deformable rhombus modules to fixed-size grid cells while retaining physically interpretable local motions through two primitives, pivoting and shearing. Under this abstraction, we prove that every non-straight edge-connected configuration with $N \geq 7$ can be transformed to a fixed canonical staircase using only admissible primitive motions. Since these motions are reversible, any two configurations in this class are mutually reconfigurable. The proof is constructive and directly yields a staircase-canonic…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17323v1 Announce Type: new Abstract: Robotic manipulation policies trained via imitation learning, such as Action Chunking with Transformers (ACT), can achieve strong performance under ideal conditions but often remain sensitive to small execution errors and distribution shifts. Correcting these failures typically requires dataset aggregation and full-policy retraining, which is computationally expensive and unsuitable for real-time deployment. In this work, we propose Online Residual Policy Adaptation (ORPA), a framework that enables immediate, feedback-driven correction of robot actions without modifying the underlying policy parameters. ORPA augments a pretrained control policy with a lightweight, feedback-conditioned module that predicts residual…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17320v1 Announce Type: new Abstract: Brachiation is a form of locomotion in which primates move primarily using their arms, enabling traversal in environments without footholds. However, this motion requires highly coordinated whole-body movement and precise timing control for bar grasping and release. As a result, achieving robust behavior on life-sized robotic platforms remains challenging. In this study, we present a reinforcement learning-based method to realize brachiation on a life-sized dual-arm robot. The core of the proposed approach is Waypoint-Guided Reinforcement Learning (WGRL), a learning framework for inducing non-linear and complex motions. For high-difficulty tasks where imitation learning data are unavailable, WGRL guides behavior a…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17209v1 Announce Type: new Abstract: End-to-end vision-language-action (VLA) and world-action models offer an elegant route to general-purpose robotics, but their reliability is bounded by validated physical coverage. When an unfamiliar object, sensor, embodiment, or contact falls outside that coverage and no validated fallback exists, correcting the failure requires new robot data, a policy update, and regression testing. This recurring burden is the retraining tax. Unlike text, embodied data must often be created by operating machines. We present Teach-and-Grow Learning (TGL), an agent-centered architecture for general robot learning. In its general form, a multimodal agent turns a few successful demonstrations into reusable Skill Blocks: closed-lo…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17146v1 Announce Type: new Abstract: Symbolic planning with PDDL offers a principled framework for long-horizon robot manipulation, but constructing accurate PDDL domain and problem descriptions remains a significant bottleneck, typically requiring substantial domain expertise. We present a Vision-Language Model (VLM)-based approach called PDDL-ART, a framework that autonomously generates task-specific PDDL domain and problem descriptions from a single expert demonstration, a natural language task description, and a library of available high-level action names. PDDL-ART does not require any domain templates, action signatures, or fine-tuning. To ensure the generated descriptions are not only syntactically valid but semantically aligned with the demon…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17038v1 Announce Type: new Abstract: Autonomous navigation in complex outdoor terrains presents critical challenges for unmanned ground vehicles (UGVs) due to the inherent disconnect between global mapping and real-time sensor feedback. This work proposes a hybrid framework that integrates low-resolution Digital Elevation Model (DEM) data with real-time LiDAR-based obstacle detection and terrain analysis for efficient path planning. A global path is initially computed using a preprocessed DEM-based A* algorithm. Subsequently, local sensor data drives adaptive path correction, enabling the UGV to negotiate sudden environmental changes while maintaining safety and efficiency. Simulation results in Gazebo demonstrate significant improvements over a base…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2608.17030v1 Announce Type: new Abstract: The massive overactuation in the human musculoskeletal system makes it challenging to train musculoskeletal models to generate human-like motion via reinforcement learning, primarily because exploration in the resulting high-dimensional and redundant action space is extremely inefficient. To address this problem, we propose the $\lambda$-hold controller, inspired by the equilibrium-point (EP) hypothesis, which has been widely supported by extensive evidence from human motor control studies. The policy's control variable is the per-muscle EP threshold length $\lambda$, from which a stretch-reflex recruitment law computes the muscle excitations automatically. Holding each $\lambda$ over an interval of the gait phase…