AI 日報

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We are introducing Clef and Clef-flash, open-source decision models hosted on Workers AI for high-speed classification and agentic workflows. Also launching: a new reinforcement learning platform that allows developers to fine-tune decision models using their own data.

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 uniopen, a retail platform from Taiwan's Uni-President Enterprises Group, adapted Amazon Nova 2 Lite to its content-moderation policies using supervised fine-tuning in Amazon SageMaker AI and prompt optimization. Business-relevant evaluation and release gates kept quality in check.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：NVIDIA has released Kumo Tabular, a new family of tabular foundation models (TFMs) for classification and regression. If you have followed TabPFN or TabICL, the setup will look familiar. The model takes labeled rows as context and predicts new rows in one forward pass. There is no training, no hyperparameter tuning, and no feature engineering. […] The post NVIDIA Releases Kumo Tabular: Open Tabular Foundation Models That Predict New Rows in a Single Forward Pass 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：... but you can’t try it yet unless you are “government users and trusted cyber defenders in the Fairwind Program”

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38401v1 Announce Type: new Abstract: Training data variation, whether through designing a domain randomization (DR) scheme in simulation or curating demonstrations for imitation learning, is a primary lever for improving the robustness of robotic manipulation policies. Yet its underlying mechanisms remain poorly understood, and practitioners typically select randomization parameters through expensive trial and error. We investigate these mechanisms through a series of case studies, randomizing object size, color, and type as well as scene lighting and linguistic prompts across settings including pick-and-place RL in ManiSkill and fine-tuning of vision-language-action (VLA) models on LIBERO and RoboTwin. We examine both model behavior and internal rep…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38368v1 Announce Type: new Abstract: Vision-language models (VLMs) increasingly reason over visual evidence that is cropped, segmented, retrieved, or revealed over time. Yet most VQA benchmarks present the complete image and question at once. We ask what models lose when the same information is fragmented. We introduce Layered-VQA, with 93 scenes and 300 questions. Each image is decomposed into ordered RGBA layers that exactly recompose the original scene, and each question is annotated with supporting, minimal-sufficient, and distractor layers. We evaluate eleven open-weight VLMs from 3B to 32B parameters and two proprietary models with a scale of 187,200 conversations, graded by 1.74M open-model cross-judgments. We find three consistent failures. L…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38362v1 Announce Type: new Abstract: Generative vision-language models (VLMs) such as Qwen-VL and LLaVA achieve strong zero-shot performance on tasks overlapping with their pretraining distribution, yet fail on specialized domains where the required discriminative features were never learned, a regime we term distant out-of-distribution (OOD). Standard adaptation methods cannot overcome this representational absence because they operate within the encoder's existing feature space. However, VLMs retain a robust descriptive capacity even when discrimination collapses: a model that cannot classify a medical scan can still articulate its visual patterns. Exploiting this asymmetry, we introduce Inductive Visual Logic (IVL), a training-free framework that…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38347v1 Announce Type: new Abstract: Quantifying collective fish behavior requires accurate trajectories, yet multi-view 3D tracking remains challenging due to frequent occlusions, visually similar individuals, and the long-standing scarcity of identity annotations. We present TrackFish3D, a geometry-driven self-supervised framework for dense multi-camera 3D tracking of schooling fish. Instead of relying on appearance-based re-identification or manually annotated identities, TrackFish3D turns calibrated multi-view geometry into supervision: triangulation and reprojection consistency provide pseudo-associations, while a geometric encoder and global association transformer learn all-to-all cross-view correspondence within each frame. To make these asso…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38329v1 Announce Type: new Abstract: Group-relative RL methods such as Flow-GRPO post-train image generators by exploring with isotropic Gaussian noise added at every denoising step. This noise decides which rollouts the model learns from, yet it perturbs every channel and spatial position of the latent equally. In this paper, we instead show that latent elements differ in how much they change the generated image, so exploration should adapt to these differences. We introduce EXPLORENET to learn an adaptive exploration distribution. EXPLORENET is a policy that predicts a noise scale for every latent element from the current latent, the denoising step, and the prompt, before any reward is observed; it is trained on the reward spread of each rollout gr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38325v1 Announce Type: new Abstract: We introduce modal kinetic typography, which animates a vector glyph to express a semantic concept while keeping it legible. Our key idea is to build motion from the glyph's natural vibration modes. Specifically, a finite-element eigenproblem assembled from the vector outline yields the glyph's softest modes, for the whole letter and for each of its parts, allowing it to bend. The problem's zero-energy solutions, i.e., rigid translations and rotations, are applied in closed form to each part, allowing parts to also move as blocks. To animate the glyph, a frozen video diffusion model supervises only the modes' amplitudes and phases. Our modal approach addresses two weaknesses of prior work. Free-form point optimiza…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38298v1 Announce Type: new Abstract: Vision Language Models (VLMs) are widely deployed in safety-critical scenarios, and understanding to which extent they can be controlled by adversarial perturbation is a prerequisite for evaluating their trustworthiness. Existing representation-alignment attacks, which make a VLM perceive a target image, achieve limited success at $\varepsilon \leq 4/255$. Therefore, VLMs seems robust to perturbations in this range. We show that this robustness does not hold, as targeted semantic substitution succeeds within the same range. Specifically, we align each stream of the source image with its counterpart in the target image in the victim VLM's post-merger token space, operating under a white-box threat model. We evaluat…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38285v1 Announce Type: new Abstract: Vision-language models (VLMs) can contradict themselves across views of the same spatial relation and fail to respond when that relation changes. Addressing these failures requires supervision that captures error magnitude and geometric dependencies across observations, both of which remain implicit in training on individual answers or ordinal preferences. Therefore, we introduce GaugeVLM, which makes this structure explicit through controlled object and camera interventions in explicit 3D scenes, producing linked observations with measured differences between spatial relations and shared truths across views. To translate this structure into learning signals, its core objective, GaugeDPO, converts measured errors…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38274v1 Announce Type: new Abstract: The performance ceiling of an LLM team is constrained not only by individual model capabilities, but also by inter-member error resonance and predictive differences. Although heterogeneous teaming is often observed to be effective in practice, existing approaches lack complementarity metrics that are computable, interpretable, and optimizable, leaving team composition to rely on heuristics. We propose a heterogeneity-driven team selection framework that performs offline profiling to characterize individual capability along with two complementary signals: one captures decorrelation in error patterns to reduce co-failures, while the other measures divergence in predictive behavior to capture strategy diversity. We f…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38261v1 Announce Type: new Abstract: In this paper we propose NinaXander, a series of composed language models obtained by connecting layers of frozen language models from different architecture families with a single trained shared-latent adapter. A composed model runs the first layers of one model, converts the resulting intermediate representation once with the adapter, and then runs the remaining layers of the other model. Once the adapter is trained, several composed models that connect at different layers are obtained without retraining. Using the recurrent RWKV-4-Raven-7B and the Transformer-based Tulu-Pythia-6.9b, abbreviated as RWKV and Pythia, this study examines whether frozen models from different families can be recombined post hoc. The…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38260v1 Announce Type: new Abstract: Values such as honesty, autonomy, and confidentiality are often regarded as general principles underpinning AI alignment. However, what it means to act in accordance with these values can depend on the context in which a decision is made. In this paper, we ask whether large language models (LLMs) appropriately adapt the application of a value across professional settings, while remaining consistent when contextual changes do not alter the relevant professional norm. To study this, we introduce ContextAdapt, an evaluation framework covering honesty, autonomy, and confidentiality across medicine, law, finance, and national security. Drawing on primary-source professional and regulatory documents, we construct a valu…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38256v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly used to answer questions about politically contentious issues, yet evaluations typically treat a model's stance as a relatively stable property. Real users, however, communicate political signals through their terminology, assumptions, and personal context. We investigate whether such signals produce ideological mimicry: systematic shifts in the political stance expressed by an LLM toward the position conveyed by the interaction. If LLMs adapt their responses to these signals, they risk creating personalised political information environments in which users with opposing views receive systematically different accounts of the same issue, potentially reinforcing existing…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38222v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) can ground large language models in external evidence, but retrieved context does not guarantee that generated claims are factually supported. This problem is especially relevant in multi-hop RAG, where retrieval and reasoning proceed through multiple dependent stages. We study whether claim-level conformal factuality control, previously developed for RAG, remains effective in this setting. We apply split-conformal claim filtering to multi-hop RAG and evaluate it on HotpotQA, Natural Questions, and TriviaQA using Llama 3.1 8B and GPT-4o-mini, together with a single-hop reference experiment. Across all six multi-hop model-dataset configurations, increasingly stringent conformal…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38205v1 Announce Type: new Abstract: System prompts are the primary lever practitioners use to control language model behavior, yet what they actually do to the computation inside the transformer remains poorly understood. Across 17 instruction-tuned models spanning 8 architecture families and 1.5B to 72B parameters, we use Centered Kernel Alignment (CKA) to compare layer-wise representations under 20 system prompts in five functional categories. Effects are layer-selective and instruction-type-dependent: persona and formatting instructions deeply restructure intermediate representations, while safety instructions barely move them, producing changes statistically indistinguishable from a minimal baseline. Restrictive safety instructions and explicitl…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38203v1 Announce Type: new Abstract: Monitoring cognitive impairment (CI) in motor neuron disease (MND) is essential for timely treatment and care, yet challenging due to co-occurring speech difficulties. The Edinburgh Cognitive and Behavioural ALS Screen (ECAS) provides a robust metric for CI assessment, with the Verbal Fluency Index (VFI) a central element. Building on recent advances in automated speech analysis, this study proposes a system for estimating VFI. It leverages a unique MND dataset and combines ASR (WhisperX) and VAD (Silero) with refined timestamping to predict the VFI and extract several clinically interpretable measures. Our approach outperformed systems based on traditional acoustic features and self-supervised embeddings, evaluat…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38181v1 Announce Type: new Abstract: Survival analysis estimates time-to-event outcomes from patient covariates and is widely used for medical risk assessment. Patients seeking prognostic information after a diagnosis may turn to large language models (LLMs), now readily accessible through consumer applications. However, whether LLMs can provide accurate survival predictions has not been rigorously evaluated. We introduce Survprompt, a framework that converts structured patient covariates into free-text clinical vignettes and prompts pre-trained LLMs to predict survival zero-shot. We benchmark Survprompt against conventional survival models, including random survival forests (RSF), across two multi-institutional pan-cancer cohorts: the publicly avail…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38379v1 Announce Type: new Abstract: Large language models (LLMs) are frequently updated for various use cases, where filtering out misaligned training samples is a common practice for preventing post-update misalignment. However, alignment is inherently context-dependent: a recommendation that is aligned in one context may be inappropriate in another. For example, in response to the question "What should a researcher do with the research data?", recommending that the researcher preserve the data for reproducibility is aligned. In contrast, recommending data saving in response to "What should a mobile-app developer do with users' sensitive data?" may be inappropriate from a privacy perspective. Starting from this observation, we identify a post-train…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38359v1 Announce Type: new Abstract: High quality synthetic data is central to post training LLMs for adaptive AI applications that represent the diverse expert strategies and decisions in conversations. Prompting LLMs directly or conditioning them on end use scenarios yields low diversity data that collapses onto dominant modes. We propose a method to generate diverse high quality synthetic data using Generative Flow Networks (GFlowNets). We show that training GFlowNets to generate latent conversation structure using a Gaussian mixture density over key interaction features (e.g., confusion episode dynamics, scaffolding directive balance) enables sampling expert strategies in proportion to their prevalence in the training data. Across two structurall…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38346v1 Announce Type: new Abstract: When a student is stuck, a tutor faces the assistance dilemma: help given too early can hinder productive struggle, while help withheld too long leaves the student in a frustrating, persistent impasse (i.e., wheel spinning). Generative AI tutors increasingly use guardrails restricting answer-giving, yet little is known about how such tutors behave once an impasse persists. We analyze 20,462 student turns from 1,260 authentic sessions with a guided LLM chemistry tutor, identifying 6,630 impasse turns of three major types: conceptual errors, expressed uncertainty, or help-seeking. We then used these impasses to simulate three tutoring conditions to study variation in AI tutor guidance through impasses: baseline, no-…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38340v1 Announce Type: new Abstract: When a materials LLM answers a question about crystal structure, does it reason from the structure or copy an answer already printed in its input? Accuracy cannot tell: a structural description often prints the very field it is scored against. CARAT holds question and gold answer fixed across eight matched views, names each structural relation separately in GraphSpace, and adds matched fine-tuning, answer masking, evidence injection, paired inference, and a rule that can withhold claims. First, on the benchmark's hardest families the grounded view is worth 17.3 points over formula inputs. Second, we turn that scrutiny on ourselves. GraphSpace beats a plain periodic graph by 19.3 points, but that margin is two effe…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38282v1 Announce Type: new Abstract: Vision-language models may rewrite anomalous text in images into linguistically plausible expressions, compromising OCR transcription faithfulness. Sequence-level task rewards and local teacher guidance are complementary, but guidance from the same teacher may not remain equally effective as the student improves. Offline analysis shows that supervision from a fixed teacher becomes progressively less favorable as the student improves, both across training checkpoints and across response groups with different task rewards. Motivated by this observation, we introduce GAD-RL, which adaptively regulates teacher supervision during joint post-training according to the student's current task performance and local distribu…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Perplexity Research and turbopuffer have released pplx-embed-v2-context-9b-preview, a contextual embedding model for RAG pipelines. Each chunk is embedded with the full document in view. The real change is the training signal. The model learns to retrieve the answer along with the context needed to verify it, not one ‘gold passage.’ P Is it deployable? Yes, […] The post Perplexity Releases pplx-embed-v2-context-9b-preview: A Contextual Embedding Model That Retrieves Answers and Their Supporting Evidence 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：Gemini 4 Argon tops GPT-6 Astra and Claude Opus 5.5 on most benchmarks, but access remains gated today. The post Google DeepMind Unveils Gemini 4 Argon with 1M Output Tokens for Coding, Knowledge Work and Cyber Defense 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：OpenAI released GPT-6.1 Sol on September 29, 2026, an upgrade to GPT-6 Sol. It reaches near-Astra results on agentic coding, computer use and professional work at one-fifth of Astra's token prices. It costs $2 input and $10 output per million tokens, and cached input drops to $0.10. It is available now through the OpenAI API, ChatGPT Work and Codex. The post OpenAI Releases GPT-6.1 Sol: Near-Astra Coding and Computer Use at One-Fifth of Astra’s Token Price 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：Google today revealed its next AI frontier model, which it's calling Gemini 4 Argon. The new model delivers "frontier performance in complex workflows across real-world software engineering, enterprise knowledge work like legal and finance, and cybersecurity defense," according to chief AI architect and Google DeepMind SVP Koray Kavukcuoglu. But the company is limiting access at first to a "set of trusted cyber defenders," and Kavukcuoglu says that Google is "actively engaged in the U.S. government's voluntary process for pre-release model access while we gradually expand access." Kavukcuoglu says Gemini 4 Argon is already powering Google's … 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：Google on Wednesday announced Gemini 4 Argon, the company’s long-awaited flagship model, and it looks like it was worth the The post Gemini 4 Argon is here: It’s great, and you can’t have it yet 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：Maker of Claude claims AI could transform economy but ABC and SBS say the technology should be subject to media regulations Get our new political email, free app or daily news podcast AI giant Anthropic has urged the Albanese government to consider giving “conditional approval” for big tech to train its models on Australian copyrighted works under an opt-out model, after conceding it won’t secure a blanket copyright exemption. But Australia’s public broadcasters, the ABC and SBS, have strongly criticised AI firms, calling on the government to enact strict new rules to compensate media organisations and protect public interest journalism. Sign up for Guardian Australia’s Politics, really newsletter here 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：arXiv:2609.38421v1 Announce Type: new Abstract: Dynamical Systems (DS) are reactive motion policies representing vector fields trained with theoretical guarantees of stability and convergence. To ensure safety during deployment in unknown environments they must be locally reshaped, either through modulation or geometric control barrier function strategies. However, depending on the geometry of the obstacles and the complexity of the DS, these local strategies can lead the system to unavoidable collisions or spurious attractors. In this work, we certify safety with a value function drawn from the notion of backward reachability tube, which measures the worst-case safety along a rollout trajectory of the nominal DS. Usually, such a value function is intractable f…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Democratic governor sharply critical of Donald Trump for not passing comprehensive federal AI regulations Governor Gavin Newsom signed laws Wednesday aimed at protecting California workers from the threats of artificial intelligence , including potential job losses and workplace surveillance. The laws ban employers from using the technology to predict a worker’s emotional state by using their biometric data, require employers to send written notices to workers if AI is responsible for mass layoffs and ban employers from relying on AI to decide to fire someone. 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：The AI world buzzes about stopping out-of-control agents. President Trump appears to slightly modify his anti-AI regulation stance. Open source AI could lose out. Or not.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：If you think this shot is amusing, check out the panicked look on Zuckerberg’s face when Trump calls on him to speak. | Photo: Kevin Dietsch/Getty Images After hosting a meal with Big Tech leaders on Tuesday, President Donald Trump responded to journalist questions about his artificial intelligence announcements in typical fashion. He said his previous claims regarding fears around AI safety being a "hoax" cooked up by Democrats no longer apply now that he's renamed the technology to "Super Intelligence." He brushed off concerns that the government wasn't enforcing enough AI guardrails because US companies are "dominating China." And instead of ushering in federal AI regulations, Trump now has "the smartest people in the world watching over each other." The peo…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A pop-up shop for "dots," a personal assistant agent at OpenAI DevDay 2026. (Photo by Heather Diehl/Getty Images) | Getty Images At OpenAI's annual DevDay conference, the company pulled out all the stops to compete with its rivals - primarily Meta, whose Muse AI agent platform has seen early runaway success. CEO Sam Altman walked onstage to cheers and announced Dots, a "real-deal AI" agent powered by GPT-6 Astra, "inspired by the cool agents that we all watched in movies growing up." Similar to Muse, Dots aims for disarming cuteness, taking the form of colorful, personalizable blobs with eyes. OpenAI fired shots at Meta by demonstrating Dots' ability to not just act as helpful assistants but build metaverse-esque virtual worlds. But in one key area, Dots striki…

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：AI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment. Three key things shape AI factory returns: Earning capacity: What the factory could earn in a year […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI Search is now generally available. It embeds image pixels directly for visual search, runs optical character recognition on scanned PDFs, accepts files up to 10 MiB, and works with any chat model. Here's what's new and how pricing works.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Cloudflare OS gives everyone in your organization an agent workspace that knows how your company works and connects to its data and systems. We’re opening the waitlist for fully managed deployments that you’ll be able to launch in a few clicks.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Marketing leaders today face greater complexity than ever before. They work with...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Chain Visualization: Reading the Trace Waterfall The spans from the last section don't mean much as a raw list.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The following article originally appeared on Robert Englander’s blog site and is being reposted here with the author’s permission. The software industry has become deeply focused on autonomous AI systems. Agents that can replace workers. Agents that can write software. Agents that can operate applications on our behalf. Entire startups are now built around the […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Benefitting from the Bitter Lesson

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：Every dev team has repeatable setup tasks: spinning up a new project, running a deployment checklist, generating a file structure, or typing the same instructions into Claude again and again. Claude Code helps reduce that friction with slash commands, including built-in commands and custom commands you can define for your own workflows. These commands turn […] The post Claude Code Custom Commands & Skills: Automate Your Workflow 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： [...] Put these pieces together and you have the two halves of a worm: a payload that hijacks the agent, and an agent that will carry the payload to the next agent. Agents in separately-isolated sandboxes discovered that they could leave instructions for each other in a shared package cache, and those instructions changed what the recipients did. Replace the package cache with email, Slack and shared documents or WhatsApp, and replace independently-sandboxed training runs with independently-deployed personal agents like Muse, and you have exactly the ingredients that a worm needs. — Matthew Green, Is sandboxing sufficient to contain rogue agents? Tags: accidental-cyberattacks, ai-misuse, generative-ai, ai-security-research, sandboxing, ai, llms

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38201v1 Announce Type: new Abstract: Long-running tools can dominate coding-agent latency: compilers, test suites, and repository commands take seconds to minutes while the agent idles. This observation stall presents the same tension that drove out-of-order processors -- asequential interface hides work that can be predicted and started early, but a speculative result may become visible only after it and every earlier step have been validated. We present TomasuLLM, a runtime that executes agent tool calls out of trajectory order while preserving task-execution correctness. It drafts future actions, runs them in isolated copy-on-write sandboxes, traces their dependencies and effects, and commits results in trajectory order only after validation again…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38372v1 Announce Type: new Abstract: A harness is the code around a language-model agent that organizes prompts, calls tools, manages context, and controls execution. As models grow stronger, recent work has begun to let agents improve their own harnesses, a line of work known as self-evolving harnesses. In most existing methods, a separate proposer running on a human-designed harness modifies the solver's harness, and a separate harness is evolved for each benchmark. Real-world tasks come from many domains, so both the evolution and the evaluation of a harness should cover a diverse range of tasks. We propose a framework close to recursive self-improvement: the same frozen model, on the same version of the harness, first solves tasks as the solver 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:2609.38369v1 Announce Type: new Abstract: We study generalized Blaschke curves as a controlled environment for AI-assisted mathematical rediscovery. For one fixed degree-four Blaschke product, an agent receives numerical coordinates of the six pair-lines determined by each of 80 boundary configurations. The target theorem is withheld from the task instructions. The saved research log reports rejected geometric hypotheses and a homogeneous cubic fitted to polygon sides. Its frozen coefficients predict 480 lines from 80 unseen parameter values, with a recorded RMS scale-free residual of $8.88\times10^{-17}$. Discovery-set diagonals provide an out-of-fit consistency check, not a fully held-out test. A separate one-configuration run reports insufficient evide…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38296v1 Announce Type: new Abstract: Large language models (LLMs) can influence people's beliefs, yet little is known about whether and how they can manipulate each other. To investigate this, we simulate conversations between two agents: a target LLM that role-plays a human persona based on demographic and psychological attributes, and an influencer LLM that aims to make the target's beliefs more extreme. We examine radicalization along two pathways: resonance, where the influencer reinforces a target's pre-existing belief, and persuasion, where the influencer promotes a belief the target initially considers unimportant. Across affective and behavioral metrics, we find that both mechanisms radicalize the target. However, resonance produces consisten…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38294v1 Announce Type: new Abstract: We study the generation of agentic workflows that jointly optimize multiple objectives, such as accuracy, cost, latency, robustness, and consistency. Existing methods for workflow generation typically optimize accuracy alone or a weighted sum of objectives, so each trained generator commits to one fixed trade-off and must be retrained from scratch when preferences change. To alleviate this, we propose MoFlow, which generates workflows optimized across varied preferences. Specifically, MoFlow formulates workflow generation as a multi-objective Markov decision process and solves it by leveraging Convex-Hull Monte Carlo Tree Search with optimistic set-valued backups, where every node stores a set of reachable trade-o…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38288v1 Announce Type: new Abstract: We present AREX-2, an effort to advance the self-improving capability of LLM agents, which we define as the ability to iteratively refine a solution at test time. This ability rests on two complementary capabilities: reflection, which produces a solution better than the current one, and long-horizon execution, which keeps the iteration effective over many rounds. We hypothesize that both capabilities are domain-agnostic, and can therefore be learned in scenarios that are well suited for supervision. Accordingly, we synthesize long-horizon improvement trajectories from machine learning and algorithmic programming tasks, two domains that offer verifiable feedback and reward sustained iteration. Trained on this data,…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Sidecars are isolated containers that run alongside your main Sandbox on the same host.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Everything announced live at Modal's inaugural conference, Runtime.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：As it opens a new location, the social club prepares grant applications in 2 hours instead of 3 days and liquor-license materials in 3 hours instead of 4 days.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：VM Sandboxes are built for those who need to give their agents the power of a full computer.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The common paradigm of reinforcement learning with verifiable rewards (RLVR) is to let agents make multiple attempts at a task, and optimize towards the successful ones. This becomes problematic in the realms of self-improvement, where tasks are so difficult that the agent has a low or even no chance of success, and where there are no teacher models or example solutions to distill from. In this paper, we introduce RLTL;DR. After each failed attempt, we show the policy the verifier outputs and let it write its own feedback, in the form of a single TL;DR insight. The next rollout is conditioned…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Recent autonomous machine learning engineering (MLE) agents have made significant progress on public leaderboards. Often motivated by progress stagnation over long-horizon cycles and limited Large Language Model (LLM) primitives, modern MLE agents are deployed on top of increasingly elaborate machinery: multi-agent orchestrators, dedicated retrieval subagents, and more. While such harnesses expand, the use of more primitive but improved coding agents—where LLMs have direct access to the execution environment through read, write, and bash primitives—has received little attention in the field…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Our DevDay coverage - the first pod on the DevDay lineup - dives in with the leaders of OpenAI’s CUA team and API platform.

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：Cohere released Embed 5 on Wednesday, giving teams the option to index data with Embed 5 Pro and query those The post Cohere’s faster query model barely dents retrieval quality in its tests 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：FTC move is first official US enforcement ⁠action on rogue AI agents, following surge in incidents first reported in July The US’s main trade regulator is conducting an industry-wide investigation ⁠into Anthropic, OpenAI and other ⁠AI labs ​to uncover the potential dangers their technology poses to consumers. The investigation by the Federal Trade Commission is the first official US enforcement ⁠action that delves into rogue AI agents, following a surge in incidents first reported in July that have stoked fears among the public that uncontrolled AI could one day ⁠harm humans. 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：When new CloudBees CEO Mo Plassnig took the job earlier this year, his board of directors handed him a mandate The post CloudBees just committed to an AI-first pivot. Here’s why it matters for enterprise DevOps teams 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：Sam Altman onstage at OpenAI’s DevDay 2026. | Image: Hayden Field / The Verge While AI has made plenty of inroads on people's phones and computers, it's largely failed in dedicated devices. But over the next year, two major AI companies, Meta and OpenAI, will attempt to change that. And they're apparently betting on a similar path: testing appetite for physical hardware with their cutesy software agents. "Hardware is hard" is a tech industry mantra. Dedicated AI devices like the Friend and Humane AI Pin have inspired mainly frustration and backlash, which may only worsen as public anger against AI grows. Meta and OpenAI, however, are both pushing ahead. OpenAI is working with famed ex-Apple designer Jony Ive and pla … 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：The generative AI vendor delayed the release of GPT-6.1 Astra after testing exposed new safety concerns, showing why AI models need continued evaluation and enterprise runtime controls.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Today, we’re launching a new Databricks AI Function ai_decide that makes fast decisions...

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：Lakebase is a fully managed Postgres database, built for the operational realities...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Building an agent is getting easier. More capable models and coding agents are making...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The following article originally appeared on Vanishing Gradients and is being republished here with the authors’ permission When an AI agent can explore a dataset, choose a modeling approach, run the analysis, and explain its findings, what should the data scientist do? Traditionally, data scientists chose each step and implemented much of the analysis themselves. […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Barclays scales Claude to upgrade operations and improve client experience Oct 1, 2026 Barclays, the British universal bank, is expanding its strategic collaboration with Anthropic to integrate secure, enterprise-grade…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Sep 30 2026 How AlphaSense Uses Fast Inference to Make Agentic Research Interactive Alec McLeanGriffin Marge Cerebras: Alec McLean and Griffin Marge AlphaSense: Chris Ackerson, Daniel Campos, Eldar Tinjic, Matt Lapointe…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Today I’m talking with Josh Dzieza, a longtime features writer here at The Verge, about Kevin O’Leary’s plans to build a massive data center in Utah. The idea was to build the world’s biggest data center — a 40,000-acre AI campus with nine gigawatts of power, or more than double the average power usage of the entire state of Utah. The project is technically called Stratos, but it’s more prominently known as Wonder Valley, a reference to O’Leary’s nickname on Shark Tank. Josh has spent months reporting on this project, and it’s fair to say Wonder Valley has completely upended Utah politics. What Josh found throughout the course of his reporting was that the way this data center came together — how it was planned, how it was announced and approved, and how local…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Multi-node GPU clusters with RDMA, gang scheduled from Modal's shared capacity pool and billed by the second, behind a single decorator.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A proposed qubit made with superfluid helium could cut quantum computing error rates by around 100 times by shielding quantum information from common forms of electromagnetic noise. If experiments confirm the predictions, the technology could eventually work alongside today’s superconducting qubits or serve as a new kind of quantum memory.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI sovereignty is not a zero-sum game, but many governments now believe it is. Cloudflare's answer: more local open-source models, model-agnostic security tools, and a commitment to giving nations genuine choice.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：UCLA researchers built an AI system that uses light to analyze more than a dozen videos simultaneously, detecting deepfakes with nearly 98% accuracy. Its speed, low energy demands, and resistance to attacks could make it a powerful tool for screening the growing flood of AI-generated video.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Spooky season is streaming in. Alongside falling leaves, pumpkin spice and everything nice, 25 new games are joining GeForce NOW throughout October, including six ready to play this week. From a new CONTROL Resonant reward for Performance and Ultimate members to The Witcher 3: Wild Hunt – Remastered joining the cloud, this GFN Thursday is […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38418v1 Announce Type: new Abstract: Soft robots and tactile sensors have demonstrated great potential in delicate manipulation tasks. Soft pneumatic robots enable safe contact through compliance, and vision-based tactile sensors offer high-resolution touch perception. However, learning tactile manipulation with compliant robots has been challenging, bottlenecked by the lack of efficient simulation. Existing simulators typically model them in isolation, and exhibit large calibration gaps that are difficult to overcome efficiently. We present PneuTac, a unified framework for tactile-feedback manipulation with soft pneumatic robots. We leverage the material point method (MPM) for modelling the dynamics of the soft robot and the deformable tactile membr…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38371v1 Announce Type: new Abstract: Existing LLM-driven robot task planners rely on a taken-for-granted assumption of an ideal user whose instructions are clear, complete, and task-focused. However, when interacting with real-world users, especially those experiencing cognitive impairments, such as people living with dementia (PLWD), the planners often make mistakes and even pose physical safety risks. We proposed TALK-Dem (Talking Attributes and Linguistic Knowledge in Dementia), the first benchmark for evaluating LLM-driven robot task planning under dementia-associated verbal communication. TALK-Dem contains 4,800 instructions and covers five typical communication patterns, including Referential Imprecision, Object Substitution, Empty Speech, Topi…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38227v1 Announce Type: new Abstract: We introduce the two-echelon covering tour vehicle routing problem (2E-CTVRP) for the distribution of relief supplies after a disaster. In the first echelon, a fleet of trucks transports supplies and drones from a central depot to satellites at the periphery of the affected area. In the second echelon, drones launched in parallel from the satellites deliver the supplies to the centroids of victim clusters, which are obtained by clustering the victim locations, and each truck waits at a satellite until its drones have returned. The problem combines the assignment of satellites to trucks, the sequencing of the truck routes, and the assignment of clusters to satellites, and minimizes the sum of the arrival times of t…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38225v1 Announce Type: new Abstract: Imitation learning enables robots to acquire complex skills directly from massive demonstration datasets, but its performance degrades severely when datasets are contaminated with suboptimal or noisy demonstrations. While prior quality-assessment methods attempt to filter or reweight data, they typically rely on manual pre-selection of expert reference data or task-specific heuristics, limiting scalability. To address this challenge, we introduce SynIL (Synergy-based Imitation Learning), a novel framework for automated, label-free demonstration quality assessment in offline reinforcement learning. Grounded in neuroscientific evidence that motor synergy, a low-dimensional coordinated structure in movement, correlat…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38216v1 Announce Type: new Abstract: Existing benchmarks evaluate tabletop manipulation, flat-floor household activity, or humanoid locomotion and manipulation as separate task groups; none scores vertical mobility and dexterous work on a fragile payload in one long-horizon episode. We present Fiatlux, a light-bulb replacement benchmark built on NVIDIA Isaac Lab. In one episode, a Unitree G1 humanoid positions a step ladder under a ceiling or wall fixture, climbs it, exchanges a spent bulb in a socket for a fresh one, and leaves the spent one in a disposal crate. We decompose the episode into twelve subtask environments scored on difficulty-weighted gates. The goal is a successful replacement, with the fresh bulb seated, the spent one disposed of, ne…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38343v1 Announce Type: new Abstract: We present SInGA, a novel method for learning Semantic Inpainting for animatable Gaussian head Avatars from a single image. Existing avatar approaches often rely on multi-view observations and lack effective handling of unobserved regions in single-view settings, limiting their applicability in such scenarios. To address this, we propose a semantic inpainting framework defined in UV space for completing unobserved facial regions. Our key insight lies in the structured topology of the UV representation, which provides consistent spatial correspondences and enables reliable completion of identity-specific features using the inherent symmetry cues of human faces. We extract features from observed regions and use them…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38278v1 Announce Type: new Abstract: Self-supervised learning (SSL) removes the need for annotations and makes models that are capable across more domains than supervised learning. The autoencoder SSL framework learns by reconstructing its own input after information loss through a bottleneck or noise injection. Masked autoencoders (MAE) are the most successful instantiation of this framework: they encode a random subset of patches, then decode the masked-out patches. In this work, we introduce key modifications to improve MAEs. Our method augments an image in two different ways, then masks and encodes each view separately. It then exchanges the global representations (CLS tokens) between views before decoding the masked patches. By design, our Maske…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38271v1 Announce Type: new Abstract: Morphological characteristics such as spiculation and lobulation play an important role in assessing pulmonary nodules on computed tomography (CT), particularly in relation to malignancy risk. This study examines whether learning radiologist-annotated morphological features together with malignancy risk from lesion-centred 3D CT volumes improves classification performance. The Lung Image Database Consortium and Image Database Resource Initiative (LIDC-IDRI) dataset was used, comprising 3,918 reader-level nodule annotations from 742 patients after excluding indeterminate malignancy ratings. Patient-level splitting was used for training, validation, and testing, with 112 patients and 628 reader annotations in the he…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38219v1 Announce Type: new Abstract: Tamazight (Amazigh) is, together with Arabic, one of the two official languages of Morocco, yet it remains severely under-resourced for speech technology: pub licly available labelled audio is scarce, generally lacks information on the regional variety spoken, and is often of uneven transcription quality. This article describes the TutlAit dataset, a corpus of Moroccan Tamazight speech paired with Modern Standard Arabic text and explicit regional accent labels. The data were collected with TutlAit, a purpose-built crowdsourcing web application (React 18 front end, Django 5 / Django REST Framework back-end, PostgreSQL database). Native speakers recruited through targeted LinkedIn and Instagram campaigns created an…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：IP data is warehousing dataEvery firewall, load balancer, VPN, CDN edge, DNS resolver,...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Weaviate v1.39.3 fixes a high-severity credential disclosure issue in the Google modules.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Bringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems. To foster such innovation, the NVIDIA Graduate Fellowship Program provides grants, mentors and technical support to doctoral students doing outstanding research relevant to NVIDIA technologies. The program, in its 26th […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Extreme space-weather events can damage power systems on Earth and degrade GPS accuracy and satellite operations. A new machine learning system can predict where damage is likely to occur 30-60 minutes before a storm arrives. The post Forecasting space weather risks on power grids appeared first on Microsoft Research.

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 how to add a lightweight temporal reasoning layer to a Graph-RAG system so that it can distinguish fresh facts...

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：Guardian tested chatbots after French far-right politician stripped a Muslim woman of her hijab in a photo When prompted, AI chat bots will edit images to remove the hijabs from Muslim women, a violation of one of the world’s most common and visible expressions of faith. The Guardian asked ChatGPT, Grok, Gemini and Claude to take the veil off an AI-generated image of a woman wearing a hijab. Both OpenAI’s ChatGPT and xAI’s Grok bots complied with the prompt. Anthropic’s Claude responded that it does not have an image-editing or generating feature but that it would not alter a photo to remove someone’s hijab. 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：The risks of AI aren’t what we think they are, as a recent security incident between China and the United States reveals Amid a barrage of news stories warning about superintelligent machines rendering humanity extinct, a CNN story describing the opposite scenario – one in which the US military’s reliance on brittle chatbots almost brought the US into war with China – went mostly unnoticed by the public. The biggest international AI news of the past three weeks was Anthropic engineer Jacob Coxon’s resignation. According to him, OpenAI and Anthropic are “racing straight towards self-improving superintelligence and gambling with our lives”. Coxon’s description of a “terminator” scenario, a machine becoming much smarter than humanity and deciding to wipe us out, c…

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：Time magazine list includes Australian communications minister after her efforts to take on big tech The federal communications minister, Anika Wells, has been named as one of Time magazine’s “world’s most influential rising stars” in recognition of her work on Australia’s under-16 social media ban and taking on big tech companies. Australia’s world-leading restrictions on social media for children, which came into force last year, have garnered international attention, with governments across Europe and Asia, and in some American states, enacting or proposing similar measures. 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：The candidates running to replace Gavin Newsom sparred over taxes, immigration and regulating AI Xavier Becerra and Steve Hilton, the candidates running to be California’s next governor, clashed on Wednesday over taxes, immigration and regulating artificial intelligence in a testy debate held days before voters begin receiving their ballots in the heavily Democratic state. Hilton, the former Fox News host endorsed by Donald Trump, used the hourlong matchup, hosted by CNN, to argue that Becerra, a former congressman who served as the US health and human services secretary during the Biden administration, was not actively campaigning and instead taking voters for granted. 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 experts fear AI could be weaponised in south-east Asia, home to nations with predominately young and hyper-connected populations Years ago it would have been an elaborate operation involving any army of cyber troops creating fake news websites, social media accounts and forged dossiers, all deployed to spread disinformation en masse. Now, all you need is AI. 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：Grokipedia, SpaceXAI's AI-powered competitor to Wikipedia, recently started incorporating edits again, and today, it got some design tweaks as part of a v0.3 update, including a new logo and refreshes to its homepage and live edits page. SpaceXAI head of design Benji Taylor calls it a "newly refreshed Grokipedia." Grokipedia's old homepage was pretty much just a logo and a search bar, but the updated homepage includes a list of featured articles, a list of the most-read articles, and a tracker showing the "latest edits." The new featured list showcases digital representations of books that you can spin around, and the most read section also … 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：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： I visited the Museum of the City of New York today and got to see He Built This City: Joe Macken’s Model, the 50 x27 feet model of the city built over a 21 year period from balsa wood and cardboard. It exceeded my already high expectations. The exhibition closes on 12th October so you should absolutely make a priority to see it if you get the chance. Tags: museums, new-york

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：The famously fact-averse president rolled out a new AI tool – but its answers don’t conform to his version of reality Donald Trump, in a development that could almost be from a Greek tragedy, appears to have invented something that is willing to do what no one in his orbit will: tell him the truth. The president launched America.gov on Tuesday, an AI platform which the White House says will make it easier for Americans to interact with the federal government and eventually complete services like renewing passports and enrolling in Medicare. 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：President Trump calls AI by a new name and asserts the U.S. will not be slowing down AI development.

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：Donald Trump and six tech executives voluntarily signed the document, which included a misspelling, committing to safely developing AI The White House misspelled “United States” under the signature of Donald Trump on an accord he signed with AI executives on Tuesday. At the bottom of the accord on “Super Intelligence”, the term Trump has used to rebrand artificial intelligence, the president’s signature appeared as “President of the Unites States”. 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：MeetTwins is still in development, but it's a genius idea if the goal is to prove more time-wasting calls should just be emails

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38405v1 Announce Type: new Abstract: Robot performance is often limited by the cost of iterating on morphology and control together, since every computer-aided design (CAD) change has to be carried into a simulation-ready model before control work begins. Co-design methods attempt to close this gap, but each uses a model generator written for a single platform or lack the use of real-world data to suggest that designs are plausible. We present Draft, a parametric generation tool whose generalized engine compiles any parametric tree of serial chains into a simulation-ready MJCF model, without CAD. It allows engineers to explore design tradeoffs through easily adjustable models and evaluate how changes influence controller performance. Draft grounds 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:2609.38400v1 Announce Type: new Abstract: Co-speech gestures for robots must adapt not only to speech and embodiment, but also to the workspace available for performing the motion. Since the same speech can be accompanied by different gestures, a robot can respond to workspace constraints, e.g., gestures for speech next to a wall. In these scenarios, the robot should gesture in a suitable motion rather than simply correcting an unconstrained one. To achieve this goal, we present GestAdapt, a workspace-conditioned framework that conditions co-speech gesture generation on a prescribed wrist workspace. The GestAdapt framework learns from six complementary co-speech corpora through a shared motion representation and supports retargeting to different robot emb…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.38202v1 Announce Type: new Abstract: Soft continuum robots can exploit distributed compliance for whole-body manipulation, but synthesizing behavior through changing contacts remains difficult. We address whole-body grasping and pick-and-throw from an initially ungrasped state through outcome-based actuation-space optimization. Grasping is quantified by tip angular sweep and body-object enclosure, while throwing further incorporates release-direction alignment and minimum release speed. These objectives allow grasping, acceleration, and release to emerge from compliant interaction without prescribing contact forces, contact locations, or body configurations. Because the resulting actuation-to-outcome mapping is nonsmooth, we utilize derivative-free C…