AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：See how Credit Genie uses OpenWiki to automate repo documentation, reduce tribal knowledge, and give engineers and coding agents searchable codebase context.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：US government adviser Paul Christiano warns of risks to AI industry as he joins OpenAI’s non-profit foundation OpenAI is not on track to reduce risks of “catastrophic” loss of control to an acceptable level, a member of its non-profit board has warned, amid spreading public and political concern that super-advanced AIs could one day wipe out humanity. Paul Christiano, a US government technology adviser, said “there is a meaningful risk that rapid acceleration in AI capabilities leads to catastrophic and irreversible loss of control in the very near term.” Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Automate common CSV tasks with these 5 Python scripts for cleaning, validating, transforming, and processing CSV files using the standard library.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：In this article, you will learn where traditional machine learning reaches its limits, what agentic reasoning adds, and how combining the two produces AI systems...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A security researcher testing a 300-person B2B company with a global footprint discovered an internet-exposed database with weak authentication during The post AI floods security teams with flaws — business context sets priorities 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：From Berkeley’s Chatbot Arena to Agent Arena: preference rankings, cost-per-task frontiers, and the hard problems in measuring real-world AI utility.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Another researcher is challenging OpenAI about the data driving its increasingly impressive array of mathematical discoveries. Just days after a bitter row erupted over whether the company's models benefited from unpublished work, a second mathematician has come forward accusing the AI giant of unethical and "dishonest" behavior and a lack of transparency about the origins of its training data. In a series of posts on Mastodon, mathematician Andreas Thom raised concerns that interactions he and his colleagues had had with the ChatGPT chatbot before OpenAI's triumphant announcement may have contributed to its success in the field. One of the … Read the full story at The Verge.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：What sounds like the overwrought penultimate episode in a sci-fi series about AI doom is now our reality On Tuesday, a former OpenAI researcher quit his job at Anthropic, warning that “neither company is acting responsibly” and that “the people building AI earnestly believe that it could kill us all by the end of the decade. This is not a marketing stunt.” As someone who’s reported on AI risk for years, this wasn’t news to me. But the outpouring of alarm suggests a much wider public is properly confronting this ludicrous situation for the first time. Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Some inventions, like the dishwasher, improve our lives. But driverless cars will lobotomise us I’ve found a hill to die on. Driverless cars. Why? Really, why? If driverless cars are the answer, then what is the question? Who asked for them? Oh yes, they’re fine for the novelty value, for the lols, for the clicks. We probably know someone who’s been to California or China and sent home a video of their driverless journey. Fine fun for feeble minds, if you ask me. And feeble-minded is how we’re all going to end up if this madness takes hold. It’s been a slippery slope since the invention of automatic transmission, rendering our left legs and arms redundant and sparing us the trouble of feeling our way up and down through the gears. Then there was the coming of s…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：This article is sponsored by Salesforce and was written, edited, and published in alignment with our Emerj sponsored content guidelines. Learn more about our thought leadership and content creation services on our Emerj Media Services page. Customer-facing organizations now face a widening capacity gap driven by escalating multi‑channel demand and the constraints of human-only workflows […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Nvidia and Palantir announced on Thursday that they’re working together to bring “sovereign AI to critical supply chains,” kicking off The post “AI factories are among the most complex systems ever built”: Nvidia and Palantir turn Nvidia’s supply chain into a proving ground for sovereign AI 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：Long-horizon agents have turned LLM serving into an input-heavy workload. Repeated prefills and million-token contexts leave KV caches that strain HBM, SSD capacity, and bandwidth. DeepSeek AI built its newest release around that exact bottleneck. DeepSeek-V4.1-Flash is a multimodal Mixture-of-Experts model with 552B backbone parameters, 196B additional Engram parameters, and a 1M-token context window. It […] The post DeepSeek AI Released DeepSeek-V4.1-Flash with 1M Context, FP4 KV Cache, and Cross-Layer Attention Reuse appeared first on MarkTechPost.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Introducing ChatGPT for Financial Services, combining built-in financial data and GPT-6 Astra for research, modeling, and client-ready materials.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：OpenAI and GSA will offer eligible federal, state, local, and tribal governments $0 license fees, 50% off usage, and expanded cyber defense support.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A Hindi lesson can mix English terms (loan words), scanned tables and handwritten equations. Making that content searchable, translating it and reading it aloud requires several kinds of AI. Bodhan AI and AI4Bharat’s four new models target those jobs across Indian languages. Released in September 2026, the models cover document parsing, translation, speech recognition and speech generation, with support for mixed languages and scripts. In this […] The post Bodhan AI Releases Four Indic Models for OCR, Translation and Speech 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：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：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：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：Artificial intelligence system delivers a three-day forecast as accurate as previous two-day predictions Google’s WeatherNext AI model is better than existing systems at forecasting cyclones, according to a paper published in Nature. The AI-based technology gives an extra day of warning, providing a three-day forecast for hurricanes or typhoons that is as accurate as previous two-day predictions. Continue reading...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Ironically, this idea lands as Salesforce is struggling to sell its own AI

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09597v1 Announce Type: new Abstract: Accurate contact prediction is useful for robotic manipulation only if it supports effective decisions. We investigate this connection using a compact, randomly initialized visuotactile world model, trajectory-level uncertainty calibration, and behavior-initialized actor-critic learning in imagination. On 160 MuJoCo Lift episodes, adding touch reduces endpoint-force prediction error from 1.058 to 0.228 N and interval-peak error from 2.724 to 0.523 N across three training seeds. However, tactile persistence achieves lower errors of 0.095 and 0.498 N, respectively. Two exploratory control rounds comprise 680 executions on 40 independent test initial conditions. A matched reward revision on fresh test environments in…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09503v1 Announce Type: new Abstract: Rapid bespoke commissioning of the Cognitive Digital Twin (CDT) is a major challenge in reconfigurable manufacturing. Traditional digital twin (DT) construction methods primarily focus on geometric reconstruction, often neglecting the deep semantic integration and functional interoperability necessary for autonomous reasoning. This paper proposes an agent-based, AI-driven workflow to automate end-to-end CDT debugging. The system utilises LangGraph as a multi-agent orchestration engine to achieve dual-path synthesis: the semantic path extracts technical specifications from unstructured documents using Retrieval Augmented Generation (RAG), while the functional path autonomously discovers and binds to real-time indus…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09492v1 Announce Type: new Abstract: Reinforcement learning has produced capable controllers across a broad range of legged-robot tasks, but a subset of these tasks fail to converge under standard training: those for which most exploration trajectories terminate before producing useful gradient signal. To address such tasks we introduce the \emph{Actuator Dynamics Curriculum}, a procedure that initializes joint stiffness at a high value and anneals it toward the system-identified value as completed episode lengths grow. Using a cart-pole system as a representative example, we show that higher closed-loop joint natural frequency under critical damping enlarges the viability kernel of the underlying Markov Decision Process, increasing the fraction of i…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09403v1 Announce Type: new Abstract: In the past decade, Bayesian optimization (BO) has emerged as a powerful and adaptable framework for automatic controller tuning and robot learning. This article offers a comprehensive overview of the state-of-the-art in BO, designed to support both researchers and practitioners in understanding recent advancements, practical applications, and future research directions. We begin by adopting a practitioner's perspective, illustrating how to effectively set up BO through a representative controller tuning example. We position BO within the broader context of learning paradigms, ranging from deep reinforcement learning to data-driven control, and highlight scenarios where BO is most advantageous. Next, we discuss th…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09380v1 Announce Type: new Abstract: Unlocking the potential of tiny aerial robots requires order of magnitude improvements in the performance of embedded edge control. In particular, although recent cached model predictive control (MPC) solvers can handle the fast system dynamics and complex constraints required for agile drone flight, their computational demands remain prohibitive for resource-constrained robots, forcing prior implementations to operate at reduced control rates. AccelMPC overcomes this challenge through an end-to-end co-design approach that jointly optimizes the solver algorithm, numerical representation, hardware mapping, and physical integration. AccelMPC pairs a co-designed FPGA-accelerated alternating direction method of multip…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09250v1 Announce Type: new Abstract: A verifier for robot policies reads a candidate behavior and returns a score for how well it did, used both to evaluate vision-language-action policies and to train them. Verifiers range from success detectors and reward models to runtime monitors, safety filters, and temporal-logic specifications. We survey roughly 150 verifiers and compare them along two properties. Availability is how much a verdict costs, how early in a rollout the verdict arrives, and how often a verdict can be asked for. Availability rises as verdicts get cheaper, earlier, and denser. Credibility is how much a high score tells us about the task. Credibility falls as the judgment becomes gameable and self-serving. We group the verifiers by wh…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09234v1 Announce Type: new Abstract: Vision-guided reinforcement learning for Unmanned Aerial Vehicles (UAVs) remains challenging due to unstable policy optimisation, aggressive exploration, and the cost of high-dimensional visual perception. In this work, we investigate long-horizon UAV visual servoing using compact target-centric cues combined with low-dimensional sensor measurements. Rather than learning directly from RGB images, lightweight target segmentation provides image-space offsets and relative depth, which are combined with quadrotor velocity and projected-gravity measurements into a compact 12D policy observation. We compare Direct PPO with three matched-budget curriculum strategies: a Visual curriculum that progressively expands target…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09217v1 Announce Type: new Abstract: Legged robots are versatile on land, but their use in underwater environments remains limited. Extending quadruped locomotion to water enables amphibious mobility with applications in inspection, environmental monitoring and disaster response. This paper presents the design, modeling, and experimental validation of a reproducible underwater quadruped robot. The robot is built around custom waterproof motor housings machined from polyoxymethylene plastic, which use off-the-shelf O-rings and dynamic shaft seals. A simplified model is derived to describe the dynamics of this underwater legged system, capturing how drag forces on spherical end effectors transmit torque to the floating base. Building on this model, a c…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09213v1 Announce Type: new Abstract: We study how physical-state inputs affect a 0.8B hybrid language model adapted for manipulation with 6.2M trainable parameters. Six conditions are trained on three LIBERO-Spatial tasks and evaluated over three seeds and 540 held-out rollouts. Conditioning recurrent decay gates on geometric increments yields 28.9% success, compared with 36.7% when those increments are shuffled during training and 24.4% without explicit object/goal geometry. Both geometry policies receive correct inputs at evaluation. A token adapter using the same increments scores 27.8%; differences vary across seeds and remain inconclusive. Token-clock conditioning scores 11.1%, including one seed that fails to converge. In separate robustness te…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.09210v1 Announce Type: new Abstract: Teleoperated demonstrations are often multimodal even when the underlying dynamics are nearly deterministic given the executed action. We argue that this multimodality typically mixes three factors--operator habit in action selection, shared physics, and observation nuisance--and that entangled next-observation predictors absorb all three. We formalize the split with a structural causal model a=g(h,z,u), z'=f(z,a), o=r(z,c), and test it with complementary interventions: replacing or shuffling actions at fixed state sharply increases next-state error, whereas appearance and camera changes should not; habit-aware reverse scoring improves ranking of feasible pasts without rewriting the dynamics. The associated adapta…