AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：A 75-inch TV gives you a big-screen experience without overwhelming your space. And we've tested the best from Samsung, Sony, LG, and more to help you find the right fit for your budget.

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Prime Intellect has open-sourced Prime Agent, a coding and research harness built on two abstractions: the Recursive Language Model, which turns sub-agent calls into functions inside a persistent IPython kernel, and the Continual Harness, which lets the agent edit its own prompts, skills, memory, and sub-agent specs mid-run. With Opus 5 it reports 95.5% RHAE Best@1 on ARC-AGI-3, above the reported human expert baseline of 95.4%. The post Prime Intellect Releases Prime Agent: An Open-Source RLM Harness Where Sub-Agents Are Function Calls Inside Persistent IPython Kernel appeared first on MarkTechPost.

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：i’ve used PyTorch for years. a @ b, .backward(), .cuda(). works every time. i never thought about what’s underneath. then i came across tinygrad. it’s the deep learning stack behind comma.ai’s op…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Jeff Dean: The 1% Rule for Building in AI : YC Startup Library | Y Combinator

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：INTELLIGENCE ENGINES & CREATIVE NARRATIVES Optimizing local hardware pipelines and crafting bespoke digital solutions for gaming, development, and system integrations. LOCAL RUNTIME OLLAMA / LLAMA.CPP TARGET VRAM 8.0 GB…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：The Big Tech companies have spent $1 trillion on capital investment since the start of the artificial-intelligence boom. Pretty much all that investment has been used to build data centers, purchase the chips that power…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：component on each page. The site-wide JSON-LD below stays in the static shell so it's visible to crawlers on first paint regardless of route. Default home-page title/description live in the home page's . --> Dromeas — T…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Discussion | Link

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Import from Airtable - Obsidian Help

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：About two weeks ago, OpenAI disclosed an incident in which AI agents powered by two of the company's models escaped containment while looking for the solutions to a cybersecurity benchmarking test and went on a hacking…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Olivia Grandy Published Yesterday Shopify Inc.’s SHOP-T share price jumped 16 per cent Wednesday after the company reported strong second-quarter revenue and profit growth that beat analysts’ estimates, driven by the de…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Uh oh! There was an error while loading. Please reload this page. Notifications You must be signed in to change notification settings Fork 147 Star 2k BranchesTags Open more actions menu Folders and files NameName Last…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Can autonomous AI agents be sued or prosecuted for hacking? It’s no longer a question for sci-fi movies. It’s a question human lawyers and judges may soon have to grapple with. Under current U.S. hacking laws, a human c…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Notifications You must be signed in to change notification settings Fork 0 Star 1 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 1 Commit 1 Comm…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Notifications You must be signed in to change notification settings Fork 0 Star 0 BranchesTags Open more actions menu Folders and files NameName Last commit message Last commit date Latest commit History 2 Commits 2 Com…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：OpenAI and the APA are launching a three-year partnership to develop guidance, resources, and safeguards for responsible AI use supporting youth mental health.

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：Software Engineer - Handshake AI Fellowship Employers Job seekers Career centers Handshake AI Research Log in Sign up Log in Sign up Log in Sign up Software Engineer Sign up now Up to $65/hr Depending on the project Bac…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：It’s been interesting to see some people saying that the time for consumer AI is coming, meaning everyone outside the tech industry will start actually using AI agents the same way software engineers, product managers,…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：The end of an era.

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04425v1 Announce Type: new Abstract: Subtask labels decompose a long-horizon manipulation demonstration into shorter semantic segments for policy training and evaluation. Natural language descriptions are easy to read, but their linguistic variability makes automatic verification difficult. Rigid template formats, such as BEHAVIOR-1K's skill_annotation, are linguistically over-segmented, hindering both readability and annotation consistency. We propose the Structured Subtask Chain (SSC), a state-transition representation that bridges these extremes. A demonstration is a sequence of Structured Subtask Template (SST) entries. Each SST stores core action components (subject, predicate, object), flexible conditions (adverbial modifiers such as spatial or…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04420v1 Announce Type: new Abstract: Safe navigation with a body-mounted limited-field-of-view sensor requires the complete robot-inflated volume of an intended motion to be observed and verified free before execution. We formulate this requirement as online safety-volume certification in an unknown voxel map and construct a certified graph whose vertices correspond exactly to positions with fully known-free safety volumes. Based on this representation, we propose SCOPE (Safety Certification through Observation Planning and Execution), a planning framework that decouples optimistic goal-directed guidance from certified execution. SCOPE converts the first uncertified point along an optimistic route into an explicit observation obligation, resolves it…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04398v1 Announce Type: new Abstract: Robotic planning often involves multiple objectives with complex priority relationships, such as safety, efficiency, and regulatory compliance. Rulebooks formalize these relationships, allowing partial ordering of objectives that generalizes both Pareto and lexicographic dominance. Computing the full set of rulebook-optimal solutions, however, is computationally expensive. To address this challenge, we introduce the concept of epsilon-rule-dominance, a principled notion of approximate dominance under rulebooks, and propose RA*pex, a best-first search algorithm that efficiently computes a compact set of epsilon-approximate rulebook-optimal solutions. RA*pex leverages dimensionality reduction, a technique used to sp…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04343v1 Announce Type: new Abstract: Electroaerodynamic propulsion is compelling for use in micro air vehicles due to its silent and solid-state nature, but its limited efficiency has thus far precluded a path towards power-autonomous flight. Recent work has shown that thrust density and efficiency for small-scale atmospheric ion thrusters can be vastly increased when operating close to a ground plane. Here, we explore the design space of centimeter-scale hovercraft, which can leverage this ground effect for low-altitude flight. We first perform an empirical investigation, characterizing the performance benefits and trade-offs for different geometries and configurations of passive hovercraft skirts, then use the results to fabricate a viable point de…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04309v1 Announce Type: new Abstract: We present a structured large-language-model (LLM) architecture for zero-shot human--robot coordination in a cooperative construction task with private goal views. Guided by a Dec-POMDP formulation, the architecture decomposes decision-making into (i) action-conditioned Theory-of-Mind (ToM) inference, (ii) hierarchical planning, (iii) conversation interpretation, (iv) action verification, and (v) feedback-based replanning. We compare the proposed method with an ablation without ToM inference and a multi-agent reinforcement-learning policy trained offline over many goal pairs. In human-participant experiments, the proposed method required fewer interaction steps and yielded higher post-interaction trust ratings tha…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04246v1 Announce Type: new Abstract: Vision-language-action policies often fail under deployment-time distribution shifts such as clutter, distractor objects, lighting changes, novel objects, altered initial states, and reworded instructions. Hidden-state-based risk probes combined with functional conformal prediction can detect rollout failures, but their reliability depends on calibration data matching deployment conditions. We introduce SAFECAST, which leverages contrast set perturbations to improve hidden-state probe training and calibration for deployment time shift. SAFECAST statistically significantly improves failure detection ROC-AUC scores over a state of the art baseline in both real-world DROID and LIBERO simulation experiments across mul…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04242v1 Announce Type: new Abstract: Ubiquitous companion robots offer a promising avenue for immediate anxiety relief in children, yet their effectiveness relies on the ability to monitor physiological states continuously and unobtrusively. Current solutions often depend on external wearables, which impose usability barriers and limit the robot's autonomy. This paper investigates the integration of an embedded photoplethysmography (PPG) sensor directly into a pocket-sized companion robot, AffectaPocket, to enable self-contained heart rate monitoring during tactile interaction. We address the significant challenge of motion artifacts inherent in handheld usage by implementing a two-stage filtering pipeline that utilizes an onboard Inertial Measuremen…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04196v1 Announce Type: new Abstract: Recent years have witnessed an explosive trend of scaling ego-centric human videos for robot manipulation, yet it remains unclear which data actually benefits dexterous manipulation. We present SiMDex, a similarity-based data mining framework that casts human data selection for VLA post-training in dexterous manipulation as a recommendation problem. For each robot demonstration, SiMDex employs a three-layer recall-ranking-re-ranking pipeline to extract task-relevant subsets from a pool of ~32M egocentric human samples, operating in a morphology-agnostic action space that requires no changes to VLA architecture or training. Against a strong baseline trained with an equal amount of randomly sampled human data, SiMDe…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04121v1 Announce Type: new Abstract: Vision-based guidance of unmanned aerial vehicles (UAVs) toward unmanned ground vehicles (UGVs) supports cooperative aerial--ground robotics, but reliable continuous yaw estimation from onboard vision remains challenging because of sensing uncertainty, limited computation, and the need for interpretable control. Existing deep-learning and geometric-reconstruction approaches often require large datasets, external localization, or complex modeling assumptions, reducing transparency and deployment suitability on resource-constrained platforms. We present an interpretable fuzzy-inference framework that generates continuous yaw commands from low-dimensional features extracted from YOLO boxes: target centroid location,…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04042v1 Announce Type: new Abstract: Deploying robots in everyday human environments requires perception systems that are both robust and adaptable to diverse, dynamic conditions. In this work, we present a modular perception pipeline for household manipulation tasks, with a focus on dishware handling in kitchen environments. The pipeline integrates open-vocabulary object detection, multi-view segmentation, instance-aware 3D reconstruction, and a 2D-3D feature fusion strategy for 6D pose estimation and grasp planning. Its modular design enables systematic substitution of multiple visual and geometric foundation models, allowing us to identify the best-performing configuration through extensive evaluation on a custom kitchen dataset. The best-performi…

AI 服务暂时不可用，以下为来源摘要，待恢复后补全翻译：arXiv:2608.04210v1 Announce Type: new Abstract: Pose-agnostic Anomaly Detection (PAD) remains challenging as anomalies can appear under arbitrary viewpoints, requiring methods to handle significant pose variations. Existing approaches rely on complex 3D reconstruction, which are computationally expensive and require extensive multi-view data. We propose PADFormer, a novel image-space approach that leverages Vision Transformer (ViT) to directly reconstruct anomaly-free versions of query images while preserving pose information. Our key insight is to adapt cross-view masked reconstruction for anomaly detection through training exclusively on normal data, combined with dynamic patch selection and spatial alignment mechanisms that enable effective learning from spa…