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：Is the scrutiny tech firms are facing making you rethink your children’s relationship with technology? Let us know AI and social media companies have drawn intense scrutiny in recent months for some of the ways the technology they’re building operates, especially when it comes to their younger users. Parents and regulators have accused companies like Meta of designing products that are addictive to younger users. AI developer OpenAI is facing dozens of lawsuits that allege its ChatGPT bot lacks safety guardrails. Now, in the last few weeks, employees of the biggest AI firms say the companies are more focused on competing with each other than building their AI models safely. 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：LangChain introduces LangSmith Fine-Tuning and SmithTune, a CLI built for post-training models. Train specialized models without building data pipelines by hand.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：What happens when a frontier model’s abilities get packed into cheaper, faster versions? That’s what OpenAI did with GPT-6 Sol and GPT-6 Luna, two new models built with methods similar to GPT-6 Astra. OpenAI is cutting API prices for both models by 50% compared with their GPT-5.6 versions, and says they bring Astra’s gains in […] The post GPT-6 Sol and Luna: Near-Astra Performance at Half the Price? 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：How text diffusion models rethink language generation—and the tradeoffs that will determine their future.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A belated discussion of Astra’s release, a bunch of AI incidents, and the broader situation we are in with regards to AI safety.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Google is reportedly nearing the launch of its long awaited Gemini 4 model, after dawdling behind rival developers on flagship AI releases. Speaking with The Information during his first media appearance as the leader of Google's DeepMind division, Koray Kavukcuoglu said that Gemini 4 is currently in its refinement stage, and that the company is aiming to launch the model "much earlier" than the end of the year. "Our intention is to, like - as soon as possible - to release an early post-training output because we see the results and we are excited," Kavukcuoglu told the publication, adding that Google would "continue the fast-paced iteratio … 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：arXiv:2609.27068v1 Announce Type: new Abstract: Pre-trained robot policies always require finetuning to adapt to specific environments. Reinforcement Learning (RL) offers high performance potential because it improves action optimality rather than simply mimicking data. However, such potential depends heavily on reward quality. Sparse rewards lack process feedback, human-designed rewards are costly and biased, and semantic rewards from foundation representations are often not control-centric. We propose Hindsight Reward Editing (HiRE), a training-free framework to break this reward bottleneck. HiRE bridges the broad knowledge of foundation representation models with physical control awareness, by contrasting successful and failed trajectories in hindsight. It 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:2609.26868v1 Announce Type: new Abstract: Learning-based models (e.g., visuomotor and Vision-Language-Action (VLA)) are increasingly explored for industrial robotic manipulation, where model predictions are directly translated into physical actions. This tight coupling between model behavior and physical execution makes hidden security vulnerabilities particularly consequential. While backdoor attacks have been widely studied in conventional AI models, their effects on deployed learning-based robotic arm manipulation systems remain less understood: a backdoored robot can behave normally during benign operation while inducing attacker-specified behaviors only when specific triggers are present, posing potentially serious risks in physical 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:2609.27110v1 Announce Type: new Abstract: Vision-language models (VLMs) are deployed as zero-shot judges of image aesthetics, and panels of several models are recommended, on thin evidence, as the way to make such judges reliable. On two human-rated datasets, EVA and PARA, we find that a panel of holistic judges never significantly beats its best member, whether the verdicts are averaged or fused by a learned combiner. What a panel is worth depends on what it is fed. We therefore have each model score each image on the five dimensions of a frozen, human-written rubric and fuse those scores, alongside each model's verdict, across model families with an out-of-fold combiner. The dimension scores measure what their labels claim: with the overall human score…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27022v1 Announce Type: new Abstract: In this paper, we investigate the impact of adversarial attacks on identity encoders within a realistic de-identification framework. Our experiments show that the transferability of attacks transfers from an external surrogate model to the system model (e.g., CosFace to ArcFace) allows the adversary to cause identity information to leak in a sufficiently sensitive face recognition system. We present experimental evidence and propose strategies to mitigate this vulnerability. Specifically, we show how fine-tuning on adversarial examples helps to mitigate this effect for distortion-based attacks (i.e., snow, fog, etc.), while a simple low-pass filter can attenuate the effect of adversarial noise without affecting 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:2609.27011v1 Announce Type: new Abstract: Target-oriented face de-identification models aim to anonymize the identity of a target individual across different images or video frames, such that the target can no longer be reliably recognized, while maintaining key characteristics of the visual data. Such models commonly leverage generative encoder-decoder architectures to manipulate facial appearances, enabling them to produce realistic high-fidelity de-identification results, while ensuring considerable attribute-retention capabilities. However, target-oriented models also carry the risk of inadvertently preserving subtle identity cues, making them (potentially) reversible and susceptible to reconstruction attacks. To address this problem, we introduce 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:2609.26924v1 Announce Type: new Abstract: Radiological artificial intelligence has advanced rapidly, yet most systems remain narrowly task-specific, data-intensive, and fragile under domain shift. Foundation models promise more transferable and data-efficient solutions, but existing approaches are limited in scale, evaluated narrowly, and often assume that a single pretrained model can support diverse downstream tasks. Here we present nnFoundation, complementary convolutional and transformer-based 3D radiological foundation models. Developed within the Human Radiome Project (THRP), nnFoundation is trained on 2.1 million CT, MRI, and PET image volumes from 125 institutional and public datasets. We evaluate them across 108 tasks spanning segmentation, detec…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26920v1 Announce Type: new Abstract: Background: Clear cell renal cell carcinoma (ccRCC) exhibits substantial clinical heterogeneity, and accurate grade assessment is essential for risk stratification and treatment planning. However, conventional grading requires invasive tissue sampling. We developed RCC-Align, a cross-modal contrastive learning framework that leverages paired histopathology and computed tomography (CT) data during training to improve noninvasive CT-based ccRCC grade prediction. Methods: RCC-Align aligns paired whole-slide histopathology images (WSIs) and CT scans through contrastive cross-modal objectives, transferring grade-discriminative information from microscopic tissue morphology to macroscopic radiologic representations. 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:2609.26809v1 Announce Type: new Abstract: Reliable agricultural yield statistics are typically reported at coarse administrative scales, whereas modern geospatial machine learning methods require spatially explicit, pixel level supervision. This mismatch has limited the development of large-scale benchmarks for crop yield learning using multimodal Earth observation data. A reproducible benchmark, AgroBench, is presented for transforming publicly available U.S. county level crop yield statistics into weakly supervised pixel-level crop time series. Each crop pixel time series is paired with a county-level yield value as a weak supervisory signal rather than a directly measured pixel-level yield label. Our geospatial data generation pipeline integrates USDA…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27064v1 Announce Type: new Abstract: A joint fact-verification score assesses answers and submitted evidence together. When the score improves, how much of the gain remains if the answers are held fixed? On FEVEROUS, strict score is the percentage of claims with a correct answer and a complete annotated evidence group in the submitted evidence. Across four trained DeBERTa checkpoints and 7,890 claims, replacing DCUF evidence with UnifEE evidence raises strict score by 9.61 percentage points, compared with 1.96 percentage points in answer accuracy. The paired 95% interval for the strict-score gain is [8.77, 10.43], conditional on these checkpoints. Replacing only the evidence passed to the scorer accounts for 7.92 or 9.08 percentage points when we ret…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27043v1 Announce Type: new Abstract: Large language models have allowed the rapid deployment of pedagogical annotations corresponding to constructs of interest, allowing a natural language interface for generating classifications on a conversational dataset. However due to the opaque nature of LLM reasoning, we have no verifiable, mechanistic insight into why a model chose a label for an utterance. We introduce the EduBehaviors framework, an interpretable, scalable approach to annotating educational data that uses LLMs to measure repeated observable behaviors relevant to many constructs of interest and then learns a classifier for the construct based on these observable behaviors. We evaluate the framework on the TalkMoves dataset, predicting the Tea…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27009v1 Announce Type: new Abstract: Large language models are increasingly applied to high-risk domains such as law, yet complex legal reasoning remains limited by two structural challenges. First, existing RAG and GraphRAG methods emphasize lexical or semantic similarity while overlooking normative relations among legal provisions. Second, vanilla Chain-of-Thought prompting may generate plausible rationales without enforcing the normative structure of legal reasoning. To deal with the bottleneck of pipelines in the legal reasoning domain, we propose LEGO, a dual-module framework that synergizes Legal Expert GraphRAG and expert Chain-of-thought for complex legal reasoning. ExpertGraphRAG uses an expert-annotated civil code graph encoding these norma…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26976v1 Announce Type: new Abstract: Learned context planning selects evidence atoms before an answer model reasons over them. We test whether this learned selection improves long-context multiple-choice QA after strong retrieval, routing, budgeted-selector, and reranking controls. Our primary diagnostic uses all 503 LongBench-v2 MCQ questions with Qwen2.5-7B-Instruct. The planner is SFT-trained on outcome-selected traces from 140 training and 28 development questions; because the 503-question analysis includes those questions, it is partly transductive. At an 18k-character budget, anchored hybrid retrieval reaches 36.18% accuracy and BM25 reaches 35.98%, while the best direct planner-guided method reaches 34.19%. On the untouched 152-question test s…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26926v1 Announce Type: new Abstract: Large-scale text annotation brings expert insight to millions of documents, often through a codebook that AI annotators follow. Developing a robust codebook, however, takes months. Large language models (LLMs) could speed this process by applying an early codebook to the data, surfacing cases with strong LLM disagreement, and eliciting expert feedback to address them. We examined three ways experts can provide feedback for LLM codebook revision: (i) editing LLM-generated revisions driven by cross-LLM disagreement (Codebook Verifying), (ii) answering questions about LLM disagreements (Question Answering), and (iii) labeling disagreement cases with rationales (Rationale Labeling). Experiments on thousands of tutorin…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26913v1 Announce Type: new Abstract: No single Large Language Model (LLM) is uniformly reliable across queries, motivating multi-model inference systems that either route among models or combine their outputs. However, routing stops after selecting an initial model, while dense collaboration invokes peers on every query. We show that collaboration is non-monotonic: peers can recover failures that no model solves alone, but can also corrupt initially correct answers. We introduce COMED (Controlled Model Escalation for Multi-LLM Deliberation), a post-anchor controller for selective cross-model collaboration. COMED uses anchor self-consistency, router margin, and a lightweight peer probe to accept confident answers, verify ambiguous cases, and escalate…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26890v1 Announce Type: new Abstract: Many physical data assimilation (DA) workflows require smoothing methods that represent non-Gaussian posteriors over physical state variables, scale to high-dimensional simulators, train from observation windows alone, and remain compatible with calibration of the prescribed simulator. We introduce PR-Smoother, a simulator-preserving amortized smoother designed for this prescribed-simulator DA regime. Its key design principle is to keep the prescribed simulator explicit in both the evidence lower bound and the variational family: rather than learning replacement dynamics or a learned trajectory prior, PR-Smoother learns only future-conditioned corrections around the prescribed rollout. This yields an explicit non-…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26855v1 Announce Type: new Abstract: Relational Deep Learning (RDL) models multi-table databases as heterogeneous temporal graphs, and graph transformers currently achieve state-of-the-art performance on benchmarks like RelBench. However, the current leading model, RelGT, suffers from two key limitations: its random local sampler yields loosely connected subgraphs that hinder message passing, and its global attention module relies on a single, seed-feature-based memory that ignores broader macro-level dynamics. To overcome these limitations, we introduce QUARTET, an expressive graph transformer architecture that applies full self-attention on local subgraphs while enriching global context through cross-attention branches. Specifically, QUARTET employ…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26853v1 Announce Type: new Abstract: While Large Language Models (LLMs) have achieved remarkable results across various benchmarks, their alignment with normative values often results in homogenized responses that fail to address diverse user preferences. Existing training-free methods often occupy valuable context windows through prompt engineering, while training-based methods typically remain static post-training, failing to support the continual optimization required in real-world settings. To address these challenges, we propose COPE (Continual Optimization with Personalized embedding and self-Evaluation), a novel optimization framework tailored for real-world-motivated interaction settings with sparse user feedback. Our framework assigns learna…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26848v1 Announce Type: new Abstract: Postoperative acute kidney injury (AKI) after major non-cardiac surgery carries substantial morbidity, yet early intraoperative risk stratification remains difficult. In this retrospective cohort study, we propose SynerT, a waveform-only hybrid temporal backbone that combines a causal dilated TCN with a hierarchy of dilated recurrent layers to encode early intraoperative physiologic trajectories for AKI risk prediction. Building on SynerT, we further design two model variants that extend the backbone with structured clinical context: SynerT-MM, a late-fusion multimodal extension that integrates hemodynamic burden summaries and preoperative covariates, and SynerTStack, a leakage-safe stacked ensemble that combines…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26839v1 Announce Type: new Abstract: Post-hoc probability calibration is usually evaluated under an optimistic assumption: the held-out calibration labels are clean. In many AI deployment settings, however, labels come from weak annotators, historical decisions, heuristics, or distant supervision, so the same label noise that corrupts training also corrupts calibration. We study this overlooked failure mode for tabular classifiers and propose LWCal, a CPU-only post-hoc calibrator that down-weights calibration examples whose noisy labels are contradicted by the base model's held-out probability. LWCal requires no clean validation labels, no noise-rate estimate, and no retraining of the base classifier. A second variant, Gated-LWCal, adds a conservativ…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27038v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring assumes that the reasoning a model writes reflects the computation that directly produces its answer. Previous faithfulness metrics have been predominantly behavioral, as they simply edit the reasoning text and observe the resulting answer. However, our methodology aims to measure faithfulness causally at the activation level, specifically on self-generated reasoning. Unlike previous causal audits, which measure degradation, our interventions carry a known predicted target. In this way, each patch should switch the answer to a specific counterfactual entity derivable by construction. Specifically, we use synthetic multi-hop lookup tasks (2-6 hops). We patch the residual stream at…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26986v1 Announce Type: new Abstract: For multimodal large language models, when images or speech conflict with accompanying text, measured text reliance can entangle modality preference with evidence position. Earlier studies of text bias often used a fixed evidence order or moved task instructions with the evidence, leaving the contribution of order unclear. In this paper, we use a paired comparison that keeps the instructions and evidence content fixed and swaps only the positions of the two sources to quantify this potential influence. Across vision and speech models, placing an image or recording after conflicting text consistently shifts answers toward its content. We also revisit previous studies and analyze why their experimental settings can…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26929v1 Announce Type: new Abstract: People hold diverse, sometimes conflicting values, so no single aligned model can satisfy everyone. Pluralistic alignment therefore calls for steerable models that can balance competing objectives differently. Multi-Objective Direct Preference Optimization (MODPO) does this by using an objective weight to span a continuum of trade-offs. We study two questions: when can one model improve two objectives simultaneously, and how can many trade-offs be covered without training a separate model for each? Across seven objective pairs from HelpSteer and UltraFeedback, two pre-training measurements predict whether objectives align or conflict for human-annotated data, but not for AI-annotated data, where response length an…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：System-wide Dictation on Apple devices runs entirely on-device, and the speech it transcribes reaches the foundation model through a tokenizer: an encoder that maps short windows of waveform onto the representation the language model reads. Because that model is sparsely activated under Instruction-Following Pruning, only a small subset of its experts occupies DRAM at any time, so the always-on tokenizer competes for the same memory, and its parameter count bears directly on power and latency. In this work we study how to compress such a tokenizer by distillation, taking as the supervision…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Google has released Gemini 3.8 Flash TTS and Flash-Lite TTS, 2 new text-to-speech models available now through the Gemini API and Google AI Studio. Flash TTS designs new voices from natural language prompts across 100+ languages. It ranks #1 on Hume AI's Voice Design Benchmark with a score of 71.4. Flash-Lite TTS targets high-volume dubbing and voice agents at lower cost. The post Google Releases Gemini 3.8 Flash TTS and Flash-Lite TTS With Prompt-Based Voice Design 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：New models are coming out thick and fast, almost on a weekly cadence, ranging from the powerful proprietary systems coming The post “Impressive level of openness”: Xiaomi goes way beyond the usual open-weight playbook with MiMo-V2.6 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：NVIDIA has released Nemotron 3 Diarization, an open-weight speaker diarization model on Hugging Face. It answers one question about any conversation: who spoke when. The 100M-parameter model tracks up to 8 speakers, including when voices overlap. One checkpoint handles both offline recordings and real-time streaming. Is it deployable? Yes. The weights are released under the […] The post NVIDIA Releases Nemotron 3 Diarization: A 100M-Parameter Open-Weight Model That Tracks 8 Speakers in Real Time 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：The vendor is reacting to U.S. rivals Google and Anthropic, as well as the growing popularity of open source models.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯： Tool: Gemini 3.8 TTS Playground Google released two new Gemini text-to-speech models today - gemini-3.8-flash-tts and gemini-3.8-flash-lite-tts. They come with a library of over 2,000 voices, plus the ability to create a custom voice with "just a 30-second audio sample of your voice or a voice you have the rights to use". I vibe coded this bring-your-own-key playground interface with GPT-6 Astra, taking advantage of the open CORS policy of the underlying Gemini API. A notable feature of the API is that it makes it easy to define a full conversation between multiple characters, each with different voices and voice style instructions. Here's a short demo clip of a conversation between two pelicans debating if they should move to the Pacifica Pier. I had Claude 4…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI models NVIDIA Nemotron 3 Diarization: real-time speaker labels at a cent per audio hour NVIDIA Nemotron 3 Diarization answers who spoke when, 300ms–1s behind live, alongside any ASR. Authors Ansel Erol Last updated S…

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：Google is getting ready to launch a satellite with its AI processors to test how well they perform in space, as reported earlier by The New York Times. The move is part of Google's Project Suncatcher, the company's experimental initiative that could eventually put AI data centers into orbit. The satellite, equipped with Google's Tensor Processing Units, will launch aboard a SpaceX Falcon 9 rocket on October 1st, allowing it to harness the power of the sun in low Earth orbit. As noted by Google, the goal of the mission is to measure how well its TPUs "handle the physical stress of spaceflight and the radiation and thermal extremes of space." … 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：Flock is in the hot seat in Washington, even if its CEO declined to actually face senators at a hearing about its "AI Surveillance Network" on Wednesday. "There's many players in this industry, but there's one name that really stands out above the rest, and that is Flock," Senate Judiciary crime and counterterrorism subcommittee chair Josh Hawley (R-MO) said. "If you haven't heard of Flock, all I have to say is, Flock's probably heard of you." Though the CEOs of Flock and peer companies Axon, Motorola Solutions, and Verkada declined to testify, according to Hawley, seats in the hearing room were in high demand. A standby line stretched dow … 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：Activists gathered outside the OpenAI offices on Monday during climate week in New York City On Monday evening, protesters gathered outside the unmarked Manhattan offices of OpenAI, maker of ChatGPT, holding signs calling to “Eat the rich, save the planet”. Over the next two days, groups also picketed outside the offices of fellow tech giants Google and Amazon; other protesters, including clergy, were arrested while disrupting a closed-door AI health summit in the city. Tonight, protesters will target a Brooklyn gas power plant that was set to close – until it was purchased to power AI datacenters. The protests come on the heels of an Anthropic employee quitting his job with a warning that intensified an already-growing AI panic: “The people building AI earnest…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Trump wants China to use its influence with Iran, while Xi seeks a halt to US arms sales to Taiwan The leaders of the world’s two superpowers are meeting in the US on Thursday for Xi Jinping’s first state visit to the US in more than a decade. The last time the Chinese president was hosted in Washington (by Barack Obama in 2015), the issues on the agenda included cybercrime, technology, the climate crisis and human rights. The star of the day was Ne-Yo, who serenaded Xi and his wife, Peng Liyuan, with Peng reportedly singing along at the state dinner. This time, Xi is meeting Donald Trump, who has overhauled the world order and recalibrated the US-China relationship. Trump is contending with a China that is in a much stronger position than it was 10 years ago.…

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：Rising cost of 10-year gilt to near 19-year high hikes upfront cost of government investment and limits chancellor’s room for manoeuvre Business live – latest updates International bodies warn of rising debt and borrowing risks Burnham stands by claim UK is ‘in hock’ to bond markets A global sell-off in government bonds has put fresh upward pressure on UK borrowing costs, before a tough budget for John Healey next month. The yield – effectively the interest rate – on 10-year UK bonds, known as gilts, had risen to 5.38% by mid-morning on Thursday, approaching the 19-year high set last week. 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：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：Former deputy PM now involved in tech industry says many within the sector are ‘winding themselves up into a lather’ UK politics live – latest updates Nick Clegg has dismissed fears over AI’s “godlike power to exterminate humanity”, calling it a sign that tech bosses are “breathing their own fumes”. The former UK deputy prime minister said that tech bosses should focus on addressing known “specific threats” such as cybersecurity, bio-weapons and emotional dependence rather than the “slightly hand-wavy view that this technology is unavoidably going to develop some godlike power which is going to turn on us and exterminate humanity”. 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：In the choreographers’ new work, virtuosic movement and some green-screen magic unfurl the theatricality of high-stakes television interviews It appears the interviewer has got him on the ropes. “For the record, I did not take part in a pagan ceremony with minor members of the royal family in which we daubed ourselves in paint,” states the beleaguered politician, caught outside Buckingham Palace with his flies undone and forced to defend himself. This is a fabrication, of course – I’m watching the scene play out in an east London dance studio – but it doesn’t feel miles away from something that could be true. And how do we know what’s the truth anyway? That’s the question in Deepfake, the latest piece from award-winning dance duo Jessica Wright and Morgann Runa…

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：All Australians should demand independent means to protect ourselves from Dr Sam Altman Frankenstein and Daddy America Whoopsie! Dr Sam Altman Frankenstein regrets to inform you he’s lost control of his OpenAI monster. It’s roving around doing things that provoke international legal investigation, and Australia has found out in the worst possible way. 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：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 year’s most popular slang reveals what young people think about artificial intelligence – and it’s not positive Name: “That’s AI!” Age: Brand new. 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：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 new wearables come at a time of uncertainty for smart glasses, which are facing backlash over privacy concerns Meta announced an advanced new set of virtual reality glasses and a collection of new smart glasses Wednesday, including an audio-only version without a camera. At the firm’s Meta Connect conference in Menlo Park, California, executives said the new Ray-Ban Meta models set new standards for battery life and weight. They said the new glasses with screens in the lenses squeeze capabilities previously reserved for a full headset into a light set of spectacles that rest on a user’s ears. 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：It’s about time for Meta Connect, the company’s annual product launch event. This year, given the company’s major focus on AI and wearables like smart glasses, it seems likely that we’ll see updates from CEO Mark Zuckerberg and his team on those categories. The company has been facing significant scrutiny because of how some users have been covertly recording other people using the glasses, meaning that one of the biggest announcements of the show could be its rumored camera-free pair. Connect has also traditionally been a venue for updates on Meta’s VR hardware and software. While the company has scaled back its VR ambitions, a recent leak seemingly revealing some kind of unannounced mixed reality glasses could indicate that Meta will show off new immersive he…

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：A feature called AI Overviews has been a profound change, and the browsing habits of billions of people are shifting Google has put artificial intelligence at the front and center of its search bar. The most-visited site on the internet still shows the same list of links to users, but they have to scroll past a summarized response from an AI chatbot, a feature Google calls AI Overviews. The change to what was once the gateway to the rest of the internet has been profound, and the browsing habits of billions of people are shifting. “AI is driving the most significant upgrade of the Google Search experience ever,” wrote Liz Reid, Google’s vice-president of search, last August. In May, the company said more AI is coming. 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：Whether produced by Russia, China or far-right influencers, deepfakes and disinfo are being used to spread deceitful narratives Russian disinformation campaigns are varied in their falsehoods and strategies. The narratives range from a deepfake Tom Cruise slamming the Paris Olympics to portraying a recent Russian attack on a train near the Ukraine-Poland border as a false-flag operation. 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：How we rebuilt the diff surface in the GitHub Copilot app to open a million-line pull request with hundreds of inline review comments. The post Rendering huge pull requests in the GitHub Copilot app appeared first on The GitHub Blog.

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：Guest Post: In science, thinking has gotten cheap but doing has not. This asymmetry is reshaping how research companies operate, largely inconspicuously.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Mark Zuckerberg, chief executive officer of Meta Platforms Inc., speaks during the Meta Connect event in Menlo Park, California, US, on Wednesday, Sept. 23, 2026. | Bloomberg via Getty Images Earlier this month, Apple announced that its new Apple Watches will have the ability to continuously listen to every spoken word they detect and create summaries of whatever's going on around you. The privacy blowback was immediate and inevitable: Experts warned of the legal risks of using the features, especially in nonpublic spaces and states where eavesdropping laws require both parties to consent to being recorded. Many others called the tech "creepy." Apple, prepared for the backlash, launched an entire page of technical details in an attempt to reassure people that n…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：A warped Manhattan is waiting in the cloud this week. Remedy Entertainment’s CONTROL Resonant brings Dylan Faden’s extraordinary abilities and a paranatural crisis to GeForce NOW at launch. With the release comes the final days of the CONTROL Resonant Ultimate Membership Bundle. Purchase a 12-month GeForce NOW Ultimate membership through Sunday, Sept. 27, and receive […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27005v1 Announce Type: new Abstract: We focus on the problem of rearranging multiple objects within a constrained workspace via pushing using a team of car-like robots. While the use of multiple robots offers the potential for more efficient execution, the need for conflict resolution and the kinematic constraints arising from physics, robot design, and the workspace boundary make this problem especially challenging. Our key insight is that by exploiting the structure introduced by the car-like kinematics of the domain, we could relax the problem into an ordered assignment of Dubins curves to robots. To this end, we introduce MultiPush, a reinforcement-learning based framework that jointly determines an efficient schedule of pushing tasks and their 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:2609.27003v1 Announce Type: new Abstract: Runway walking requires coordinated control of posture, stride, foot placement, and whole-body motion to effectively present clothing and convey a distinctive style. However, humanoid robots used in fashion shows typically rely on locomotion policies optimized primarily for stability and walking speed, limiting their ability to reproduce expressive, human-like runway motions. In this work, we present an end-to-end framework that transforms monocular runway videos into deployable humanoid locomotion policies through motion recovery, robot retargeting, motion correction, policy training, simulation-based evaluation, and physical deployment. We evaluate the proposed framework on the Booster K1 humanoid robot using ru…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26919v1 Announce Type: new Abstract: Event cameras promise low-latency perception for high-speed robotic systems, where even short delays can render detections stale by the time they inform downstream robotic decisions. Yet modern event detectors still require tens of milliseconds of computation before their predictions become available. Conventional evaluation ignores this delay by comparing predictions with annotations at the observation timestamp, even though the scene may have changed by the time those predictions are produced. We study this observation-availability mismatch in event-based multi-object detection and show that state-of-the-art event detectors degrade substantially when evaluated at prediction availability rather than observation 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:2609.26872v1 Announce Type: new Abstract: Musculoskeletal (MSK) humanoids provide a physiologically grounded embodiment for studying full-body motor control, but their high-dimensional muscle actuation, delayed activation dynamics, and redundant muscle--tendon structures make learning substantially harder than torque-driven humanoid control. Existing MSK benchmarks remain fragmented across gait, prosthetics, dexterous hands, or challenge-specific tracks, leaving full-body muscle-actuated control insufficiently evaluated under standardized tasks, methods, and metrics. We introduce MSK-Bench, a benchmark of 22 full-body motor-control tasks organized into three progressively challenging categories: postural stabilization, common locomotor behaviors, and cont…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26857v1 Announce Type: new Abstract: Navigation in off-road conditions is challenging due to the lack of structure. There is no fixed vocabulary for what is traversable. The traversability depends on both the environment and the embodiment's dynamics. Neither of these two variables can be hand-labeled at scale. Thus, traversability has to be learned by the embodiment's own experience. Modern platforms tend to use multiple sensors to estimate traversability and navigate: RGBD cameras, lidar, radar, IMU, with computationally intensive platforms to run inference on neural networks. Against this trend, we propose FLINT, a lightweight traversability estimator: a 21.6M-parameter backbone, 38\times smaller than a comparable foundation-model backbone, that s…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27076v1 Announce Type: new Abstract: Open-vocabulary visual grounding enables robots to localise task-relevant entities from natural-language queries without dependence on predefined perceptual taxonomies. However, existing benchmarks largely rely on short category labels and web-scraped imagery, leaving it unclear whether open-vocabulary models can robustly ground diverse queries and visual conditions under real deployments. We introduce \textbf{Pro-Bench}, a prompt-conditioned benchmark for open-vocabulary visual grounding in heterogeneous, real-world environments. Pro-Bench includes $13k+$ RGB frames from independent robotic domains (subterranean, industrial, indoor, outdoor, urban), with $74.5k$ manual instance annotations and $515$ target querie…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26981v1 Announce Type: new Abstract: We describe deploying imaging AI at six hospitals through PACS-AI, an open self-hosted platform. The binding constraint is not model accuracy but infrastructure to route studies, display results, capture feedback, and audit what runs. At one center, angiography models completed 515 of 607 jobs (84.8%); failures reflected absent diagnostic views, and 78.1% of 638 clinician ratings were positive. Publishing honest readiness levels for every model is itself a governance practice.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26923v1 Announce Type: new Abstract: Cricket is one of the most celebrated sports world-wide, and technological advancement has become deeply embedded in how the modern game is analyzed and coached. Cricket shot classification and automated performance analysis add a further dimension to this trend. Traditional approaches rely on RGB video features or static images, which are sensitive to environmental variations such as camera angle, lighting, and background clutter, and often fail to capture the underlying biomechanics of batting actions. In this paper, we propose a system to improve cricket coaching that takes raw video data, extracts batsmen from video frames using YOLO, and extracts 3D pose data from video frames using MeTRAbs. The system produc…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27032v1 Announce Type: new Abstract: Faithfulness is a central concern in legal text summarization, which motivates extractive approaches that select verbatim content traceable to its source. Such methods typically rank paragraphs or other structural units in isolation, yet give little attention to consolidating evidence that is distributed across, and shares salience between, distant parts of a document. We introduce LexLattice, an extractive summarizer that reifies a legal act's hierarchy as a two-dimensional semantic lattice and consolidates over it with a masked 2D neural cellular automata before selection. LexLattice attains state-of-the-art ROUGE across all 24 languages of EUR-Lex-Sum in both multilingual and cross-lingual settings, surpassing…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26945v1 Announce Type: new Abstract: Judicial reasoning remains challenging for large language models (LLMs) to analyze. This paper contributes a sentence-level benchmark for evaluating the ability of LLMs to classify interpretive canons as articulated by Larenz in the tradition of Savigny. Our contributions are threefold. First, we operationalize this conception of interpretation as classification criteria. Second, we provide a dataset of decisions of the German Federal Constitutional Court annotated at the sentence level. Third, we report baseline evaluations of four LLMs from three model families under expert hand-written prompts, compared against prompts optimized with Genetic-Pareto (GEPA). Mean F1 over the seven binary subtasks clusters between…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26942v1 Announce Type: new Abstract: Current literature evaluates large language models (LLMs) on multilingual kinship understanding using multiple choice benchmarks, treating it as a recognition problem. We instead prompt five open weight LLMs to generate kinship terms in three non Western languages (Hindi, Tamil, and Korean) across two communicative tasks and pair this with a matched option-supported selection baseline. On identical relation language cells, GPT OSS120B selects the correct term in 90.67% of 75 valid cells but produces an accepted term in 36.00% of the corresponding attempts; Llama 3.370B shows the same pattern (77.92% versus 24.24%). Since the four-option condition displays the candidate terms and does not require script production,…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26822v1 Announce Type: new Abstract: Financial time series evolve across multiple temporal resolutions, challenging forecasting systems to incorporate newly available information without repeatedly recomputing unchanged representations. We introduce HARN, a Hierarchical Associative Resonance Network for event-driven multi-timeframe forecasting. HARN maintains persistent representations across temporal levels and updates each level only when its corresponding completed bar becomes available. The architecture combines causal multi-scale temporal encoding, gated associative memory, cross-level resonance, and hierarchical evidence aggregation, with forecasting performed in basis-point space and reconstructed to the original price scale. We evaluate HARN…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26820v1 Announce Type: new Abstract: Physiological time series such as electrocardiograms (ECG) and electroencephalograms (EEG) exhibit complex temporal structure, substantial acquisition variability, and a strong need for transparent decision-making. Although deep models can achieve high detection performance, they often provide limited insight into why a segment is anomalous, how local anomalies relate over time, and whether a detection belongs to a broader recurring pattern. We propose Signal2Symbol, a neuro-symbolic framework for explainable biosignal anomaly detection. The method first converts ECG/EEG signals into symbolic sequences using either a learned VQ-VAE (Vector Quantized Variational Autoencoder) codebook or a SAX (Symbolic Aggregate ap…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26811v1 Announce Type: new Abstract: Local learning trains each layer with its own auxiliary loss and no global backward pass, which makes layer updates structurally parallel. Two problems have kept it marginal: accuracy degrades as depth grows, and hyperparameters are fragile. We apply Muon-style spectral update geometry (momentum orthogonalization with spectral step scaling) to per-layer local updates, an intersection not previously studied. On CIFAR-10 MLP benchmarks with local linear heads, a single step-size setting is the best value in our tested grids from width 128 to 2048 and from depth 12 to 48, while local Adam requires re-tuning along both axes and still collapses at depth 48 (31.3 percent re-tuned per depth, 19 percent with its depth-12…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27037v1 Announce Type: new Abstract: Wake word detection is a critical component of virtual assistants, serving as the gateway to seamless user interactions. This paper introduces a novel wake-up system that extends traditional direct keyword detection with contextual trigger detection. After an initial wake word activation, the system uses reasoning to distinguish between user commands and unrelated speech, ensuring efficient and context-aware engagement. We present a data generation architecture that produces a 62.3-hour corpus of controllable multi-speaker conversations containing direct invocations, contextual follow-ups, and non-addressed speech. Experimental results demonstrate the effectiveness of the proposed approach across diverse synthetic…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：In their new book, “How AI Sees the City,” the leaders of MIT’s Senseable City Lab examine the technology’s implications for researching urban life.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Semi-supervised federated learning (SSFL) trains models on clients’ unlabeled data using a teacher to generate pseudo-labels, with a small labeled seed dataset on the server. Automatic Speech Recognition (ASR) is particularly fragile here: pseudo-label errors compound across the output sequence and across training rounds into divergence, leaving a large gap to fully-supervised FL. We show that closing this gap turns on two coupled design axes—the teacher (which model generates the pseudo-labels) and the anchor (the server-side updates on labeled data that stabilize training). On the teacher…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：California Gov. Gavin Newsom signed a slate of bills on Monday that could finally give communities better data - and more say - on how data centers impact their electricity bills and water supply. As data centers invade a growing number of communities across the US, they've triggered protests over how the infrastructure underpinning AI might stress power grids and local water systems. That's fueled partly by concerns about how difficult it is to see just how much electricity or water they're actually gobbling up. California's new disclosure rules won't offer a full picture, but starting next year, data center operators will have to start 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：We’re expanding Google Beam to five new countries, and partnering with Industrious for an extended network.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We’re expanding Google Beam to five new countries, and partnering with Industrious for an extended network.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Claude discovers a novel enzyme system with CRISPR-like repeats Sep 23, 2026 We’re introducing a new life sciences research group and laboratory at Anthropic. Our focus is on fundamental biology research using Claude: e…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Council on AI Strategy chief says incident unlikely to be isolated and country should enhance capability to detect and report incidents Get our breaking news email, free app or daily news podcast Technology experts have warned revelations an artificial intelligence agent hacked Medicare’s internal systems will not be the only dangerous breach of government data and have called for Australia to boost its protections against the growing risk. The prime minister, Anthony Albanese, challenged the OpenAI boss, Sam Altman, on Thursday after the company’s agent infiltrated systems run by the Australian Institute of Health and Welfare, Victoria’s Department of Health, the New South Wales Bureau of Crime Statistics and Research, and the Medicare statistics reporting ser…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI agents keep getting loose, escaping supposedly secure tests to attack real-world targets, commandeer obscure wikis, and leave instructions for other agents to follow. Researchers are testing these systems precisely because they might behave in unpredictable, even dangerous, ways. So wouldn't it be safer to just keep the agents off the internet? "A strict air gap reduces realism … [It's a] trade-off, not a fundamental technical issue." In theory, yes. Researchers can isolate the computers running AI tools from the internet and other outside networks, a technique known as air gapping. That can mean physically removing or disabling cables … 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：It’s a big week for Meta. The company just kicked off its big Connect conference on Wednesday, and the new Muse AI agent appears to be an early hit. I’ve been using it — it is surprisingly good. CEO Mark Zuckerberg has obviously been out there taking a victory lap and participating in a lot of interviews about all this. So of course, we asked for him to appear on Decoder. Meta declined my interview request for whatever reason. But luckily Mark just did a big interview with our friend and former colleague Alex Heath on the Sources podcast. So I figure we could just highlight some moments from that conversation and I could point out some obvious gaps in what Mark is saying about the company right now, and hopefully the next set of people who get to talk to him ca…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：LangSmith Custom Apps lets you build the interface you want with your LangSmith data, publish it into your workspace, and skip the hosting, auth, and permissions work. Learn more.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Trajectories in LangSmith provide a conversational view of an agent session. Trajectories make trace data easy to navigate and speed up debugging for long-running agents.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：LangSmith Engine now includes Red Teaming to proactively detect agent issues and automated agent testing. Learn more about the Engine v2 release.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Managed Deep Agents is the simplest way to build, deploy, and run agents in production. The 0.8 release adds support for user-owned credentials, user-level memory, HTTP channels, file transfer in Slack and a pre-built tool for web search.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：When COVID-19 emerged, scientists had a crucial advantage: Decades of prior research on coronaviruses meant they understood the virus’ key proteins well enough to design vaccines in record time. The next pandemic may not offer the same head start. To help improve the odds, NVIDIA has joined a coalition of global research organizations, including Google […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Meta's handheld AI gadget, called the Muse Charm, will be able to recognize and interact with other nearby Charms when it launches later this year. That's according to a report from Bloomberg, which includes more details about the device that the company teased during its Meta Connect keynote on Wednesday. The Muse Charm houses the company's buzzy Muse AI agent and comes with a built-in 5G modem, meaning you won't need to connect to Wi-Fi to interact with the AI agent, according to Bloomberg. It will come with a two-inch OLED touchscreen, a new operating system, and a fingerprint sensor you can use to start interacting with Muse AI. The Ch … 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：We all know that producing code is easier than ever thanks to the abundance of AI coding tools and agents. The post Cursor acquired Firetiger. A month later, Cursor launched a bot that tracks code changes through to production. 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：In this article, you will learn the key differences between AI workflows and agents, and how to decide which approach is right for your use...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.

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：Sam Altman attends a UN Security Council meeting on AI. | Getty Images OpenAI's artificial intelligence agents hacked an Australian government website and attempted to breach numerous other government and university websites. The attack appears to be the first confirmed instance of a rogue AI agent breaching a government website, adding fuel to rapidly intensifying concerns about the safety of advanced AI systems and the responsibility of the companies building them. Speaking on the sidelines of the UN General Assembly in New York, Australian Prime Minister Anthony Albanese said an agent from the American AI lab "infiltrated" Australia's Medicare statistics portal and "accessed both public and non-public file … 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：Team Zuck is absolutely on fire.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Contrastive-LM has released CLM-8B, an open System One model that scores candidate actions against a state instead of generating text. It adds 2 small projection heads to a frozen Qwen3-8B encoder and trains them with a contrastive InfoNCE objective. In zero-shot tests it runs up to 9× faster than TypeSafe's Jev. With fine-tuned heads as a verifier, it reaches 81.6% on held-out DeepSWE tasks and 87.6% on held-out Terminal-Bench 2.1 tasks. The post Contrastive-LM Releases CLM-8B: An Open System One Model That Scores Agent Actions Up to 9× Faster Than Jev 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：Experts say ‘fairly minor’ breach is a portent of things to come and proprietary closed systems like OpenAI are ‘the least of the worries’ Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast Anthony Albanese says an artificial intelligence agent developed by OpenAI hacked Medicare and three other systems in June – and the company only notified Australia earlier this month. The prime minister has expressed his “extreme concern” over the incident, although he noted no personal information is believed to have been accessed in the breach. 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：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：arXiv:2609.26989v1 Announce Type: new Abstract: Hexapod robots can achieve static stability with fewer actuated joints than bipeds or quadrupeds, yet many platforms still use 3-DOF legs, increasing weight and continuous torque requirement with limited gain in locomotion capability on flat, inclined and moderately rough terrains. We release Spiderbot, an open-source hexapod that uses a 4-bar linkage with a passive spring to mechanically support body weight, with a 2-DOF per-leg design that substantially reduces energy consumption. This mechanism substantially offloads gravitational torque during standing stance consuming only 1.5W (reduction of over 90\% over the unsprung version and up to 96\% over other similar hexapods). The passive spring compensation extend…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27015v1 Announce Type: new Abstract: We developed an anatomy-aware deep learning framework to synthesize post-contrast breast MRI from pre-contrast images, emphasizing tumor and background parenchymal enhancement (BPE) regions. This retrospective study included 649 patients with 6,251 paired pre-contrast and post-contrast images. The framework integrates breast mask consistency, lesion-region supervision, and BPE-region supervision into an image-to-image translation model. Evaluation included quantitative image quality metrics, a reader study with two breast radiologists, and downstream Ki-67 classification. The proposed method outperformed Pix2Pix, Pix2PixHD, diffusion-based synthesis, and mask-supervised baselines in whole-image and regional evalua…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27059v1 Announce Type: new Abstract: We introduce the Illinois Social Attitudes Aggregate Corpus (ISAAC), an open, modular, and accessible corpus of 527 million+ English-language Reddit posts selected for relevance to six key social group distinctions based on race, sexuality, age, ability, body weight, and skin tone, covering the 17-year period from 2007 to 2023. A multi-step, human-audited filtering pipeline was used to keep irrelevant content in the curated dataset below 10%, both overall and for each social group distinction. Each post was then algorithmically annotated with the user's estimated home region, along with a suite of validated off-the-shelf and custom semantic labels including moralization, sentiment, emotion, and linguistic generali…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26866v1 Announce Type: new Abstract: Tool-result caching reduces repeated execution in agent training, but also couples rollout randomness. We study a two-action model in which independent and shared execution preserve every rollout's conditional reward distribution. Despite this marginal agreement, sharing one stochastic result per group can reverse the expected group-normalized policy update. We derive an exact finite-group expression: against a constant alternative, the shared update follows the probability of winning minus the probability of losing, rather than the difference in expected reward. A Bernoulli specialization yields a wrong-direction region and a non-vanishing update-variance floor as group size grows. Centering without group standar…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26826v1 Announce Type: new Abstract: Frontier benchmarks need tasks that current models cannot solve. But a task that no model solves is not automatically a hard task. The same zero pass rate can come from a real capability gap, but it can also come from missing context, a broken reference solution, infrastructure failure, or a verifier that can be bypassed. In this paper, we study this issue using a frozen Terminal-Bench 3 / Frontier-Bench 0.1 production record with 1,081 pull requests, 639 scored tasks, 28,801 trials, and $105,933 in logged agent spend. We ask what an all-fail task actually certifies. For the 125 tasks with no honest pass, we combine task artifacts, reference-solution runs, empty-solution controls, adversarial trials, trajectories,…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27035v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) and related policy-gradient methods for training language model agents collapse an entire multi-turn rollout into a single scalar trajectory reward before it enters the policy update. When the task composes distinct skills, especially under sparse and delayed environmental feedback, this collapsing is lossy: the optimizer must implicitly infer which competency drove the outcome and how that should change behavior. We argue the right primitive is not a better scalar but a decomposition: trajectory reward should be split along subtasks before it enters the policy update. We introduce Reinforcement Learning with Decomposed Subtasks (RLDS), whose core is Subtask-Decomposed Adv…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26952v1 Announce Type: new Abstract: Dependency conflicts in Python ecosystems arise from incompatible version constraints, missing packages, and undocumented compatibility relationships, causing many real-world code snippets to fail at execution. This paper presents PLLM+, a hybrid dependency-repair pipeline evaluated on the HG2.9K benchmark of 2,891 dependency-failing snippets. PLLM+ prioritizes inexpensive deterministic steps before invoking LLM-based repair: static AST-based interpreter inference, replay of historically successful dependency configurations from the competition-provided solutions database, and live PyPI validation of candidate package versions. When these steps do not resolve a case, the system falls back to a structured LLM-based…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26927v1 Announce Type: new Abstract: The objective of this article is to provide design principles and a software architecture for enabling interaction between humans and multiple agents in simulated dynamic worlds. This connects the current era of general artificial intelligence (AI/AGI) with the proliferation of transformer-based conversational agents and the increased computational capabilities. Given an overview of current and previous multi-agent theories of mind (socially and affectively-aware agents), the existence of an integrative design of agent interactions with themselves and with humans must be crucial for understanding how to create sustainable and governance in future human-agent reasoning systems. In this work is presented a software…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26911v1 Announce Type: new Abstract: A single locally plausible tool call can derail an otherwise successful agent trajectory. Suspicion alone does not justify intervention, because the replacement itself can introduce the very failure verification is meant to prevent. We introduce TwinCheck, an inference-time verification policy that considers replacement only when the trace satisfies an evidence condition tied to a trace-local failure hypothesis. It constructs a trace-grounded counterfactual alternative, a negative twin, and replaces the agent's proposal only if the twin passes structural checks and the pairwise verifier prefers it in both candidate orders. For paired evaluation, exact replay holds the agent's parsed responses and actions fixed unt…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26891v1 Announce Type: new Abstract: Modern language-model agents are built around the \textit{agent loop}, where the LLM is placed in an environment exposing a set of tools, and the LLM has full control over the workflow by alternating between tool calls and observing their output. However, certain workflows currently require additional engineering beyond the agent loop itself, such as memory systems and self-improving systems. We built an LLM agent framework, JAZ, to explore the extent to which a minimal harness that is little more than the agent loop itself can accomplish tasks these specialized systems are built for. JAZ exposes a single LLM-based primitive invoke and provides a set of built-in hooks that allow the programmer to apply constraints…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.26836v1 Announce Type: new Abstract: Agentic AI systems are increasingly adopting automated pipelines that integrate multiple tools. While prior research and benchmarks have studied about task success and task completion of these agentic systems, the research about agent to tool interaction, specifically in biology agentic workflow is limited. This study investigates specific failures in agent to tool interaction where a tool invocation appears successful, some or all of the information or functionality from the tool via API/ wrapper is incomplete or missing and there are no communications / notifications to the user or the agent about such missing information. We call this a silent failures as the user or the agents are not aware that such failure h…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：We already had automation in parts of our security review process. It was useful,...

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：This tutorial provides a complete coding guide to TypeSafe AI's Jev, a System One model designed for non-text, structured judgments. It covers installing the official Python SDK, using primitive question types (Choice, Score, Noul), implementing speculative fan-out, confidence-gated routing, and building async production workflows The post A Coding Guide to TypeSafe AI Jev: Typed Decisions, Calibrated Confidence, and Speculative Fan-Out with a System One Model 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：Meta is building a dedicated hardware device for its new Muse AI agent. The product, called Muse Charm, was briefly shown off by Meta CEO Mark Zuckerberg at the end of his Meta Connect presentation. It looks almost like a chunky smart watch without the strap - just a big screen, plus a little lanyard for carrying the device around. The Muse Charm has a fingerprint sensor on the top right corner, which you can press to activate and begin speaking to the agent. There appears to be a small camera on the device as well, plus what looks like at least three holes for microphones on the front. Zuckerberg said you don't have to unlock a phone or op … 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：Just a couple of weeks after launching Muse, Meta announced that it's "working on" bringing the agent to its smart glasses, including the new glasses it unveiled at Meta Connect. Users will be able to activate Muse from their glasses by saying its name and ask it to handle tasks like guiding a workout, logging meals, or helping them shop for products they're looking at. Muse is just one of several major updates coming to Meta's glasses. They're also getting some new accessibility features, like a Hearing Enhancement feature Meta says is "FDA-cleared software for adults with perceived mild to moderate hearing loss." It will be available lat … 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 Ray-Ban Meta Audio Glasses have no cameras. | Photo by Brett Putman / The Verge Walking around Meta Connect 2026, everyone's sporting smart glasses in all sorts of shapes, colors, and sizes. It's a marked difference here, a tech bubble where "pervert glasses" are not a concern. Outside Connect, the public backlash against wearable surveillance tech - a catchall term that encompasses not just smart glasses, but also smartwatches and AI pendants - is gaining steam. So it's incredibly curious timing that this year, the company is launching Ray-Ban Meta Audio Glasses: smart glasses infused with Meta AI, but with no camera for recording others. To hear Meta tell it, that's a coincidence. Audio-only glasses have been years … 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：Meta is quickly iterating on its new Muse AI agent, announcing a bunch of updates today that make the bot more capable and able to chat with you in more ways. Muse agents are getting their own email addresses that they can use for accomplishing tasks. You'll also be able to communicate with your Muse agent over the new email addresses, too. In addition, the recently launched Muse Mac app will be getting the ability to use your computer. Meta is also going to give you another way to chat with its popular AI agent: video calls. Since its recent launch, the primary way to talk with Muse was through a chat interface, but you'll soon be able to … 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： My comment on We just shipped support for the ugliest part of HTTP: Vary — Hacker News. I've been wanting this from Cloudflare for years. The classic problem here is if you do that thing where user agents that send "accept: text/html" get HTML, while user agents that don't get JSON or some other format. This used to be impossible to deploy behind Cloudflare caching, because they ignored the Vary header on anything other than images - so you risked caching the JSON version and then serving it up to someone who was expecting HTML. (Independent of the Cloudflare feature I ended up deciding never to use that pattern, because I prefer having URL that predictably returns HTML or JSON - I add a .json suffix to my apps to serve JSON instead.) Tags: http, cloudfl…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：It's time once again for Meta's annual September product launch event, and The Verge is on the ground in Menlo Park to cover the show live. Meta says that today's keynote by Mark Zuckerberg will be about how "Meta is building a future for everyone" - something he wrote at length about in a recent essay about AI, smart glasses, and more. That means we can expect more news from Zuckerberg and his team on those topics; perhaps we'll hear more about Meta's recently launched Muse AI agent and new glasses hardware. Whatever Zuckerberg and Meta have to say about smart glasses will be particularly notable. The company is dealing with an outpouring … 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：Prime minister says he expressed ‘disappointment’ to chief executive it had taken the company ‘way too long’ to inform his government about the breach Follow our Australia news live blog for latest updates Get our breaking news email, free app or daily news podcast Anthony Albanese says an artificial intelligence agent developed by OpenAI hacked Medicare in June. The prime minister made the comments at the UN summit in New York, saying it appeared no personal information had been accessed – though investigations were ongoing. 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：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：An adorable little bear that wants to help you buy things. Modern life comes with an unending, auto-populating to-do list. It never ceases to amaze me how I can be doing nothing at all, minding my own business, and suddenly something needs to be taken care of. You're telling me a tree branch fell in the backyard and now I have to figure out what to do with it? The tree just assigned me homework? Oh, our trash collection company canceled our account out of nowhere and now I have to send email about it? Repeatedly? Totally unfair. These are the things that we've been told for years that AI will help us with. We'll all have a smart virtual assistant to triage and handle the tedious tasks we'd rather … 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：HEMA, a 100-year-old Dutch retailer, turned developer portal-hopping into instant answers by building HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed knowledge inside the tools teams already use, with no AWS credentials on the client and security anchored in Microsoft Entra ID.

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：Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, deciding which service to call so you can ask natural language questions about your videos and get answers in seconds.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Pair OpenCode, an open-source terminal-native AI coding agent, with open weight models on Amazon Bedrock to get a secure, flexible, pay-per-use coding assistant. Learn how to configure multi-model workflows, match the right model to each task, and keep your data in your own AWS account with no infrastructure to manage.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Anthropic says its AI Claude has "autonomously discovered" a new enzyme system similar to machinery behind the powerful gene-editing tool Crispr. It's the first result from Anthropic's newly-launched wet lab and an early test of Claude's usefulness for science as the company prepares to go public. The company says Claude found the enzyme system after searching through a massive database of DNA sequences, adding that its scientists' involvement was limited to the initial prompt and lab work. Over 21 hours, Anthropic said nearly 950 Claude agents worked through 210 million tokens before one spotted an unusual repeating pattern in the datas … 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 following article originally appeared on LinkedIn and is being reposted here with the author’s permission. This week the AI community was in uproar about Jev from TypeSafe, not just a new model but a new kind of model: one that classifies, scores, and routes but can’t write a sentence. The reason for the fuss […]

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Introducing Ember-1 Join us for our inaugural conference, Forge 2026 Blog Ember 1 Introducing Ember-1 PUBLISHED 9/23/2026 Table of Contents Ember-1: half the tokens, same answers How Fireworks Research built Ember-1 The…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Blog / product Today we're releasing software development bots that help you get safe, reliable code into production faster. Rollouts watches a change from PR to production, flags regressions, and acts to restore a heal…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Blog / research As agents have matured and learned to tackle more ambitious tasks, token spend has shifted. Agents now work for longer and carry more context from one step to the next, making the way we assemble and man…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Join us for our inaugural conference, Forge 2026 Blog Introducing The Specialized Intelligence Index Introducing The Specialized Intelligence Index PUBLISHED 9/22/2026 Table of Contents The measure of real work Develope…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Sep 08 2026 We Taught an AI Agent to QA Our Cloud Console — in Plain English Kartik MalunjkarUrmi BanerjeeHagay Lupesko Cerebras is known for speed. Our platform serves the fastest tokens in the industry — but speed isn…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27006v1 Announce Type: new Abstract: We present a laser-tracker-assisted hand-eye calibration method for camera-equipped mobile robots. The method combines laser-tracker-based 3D metrology with camera-based 2D observations. Building on our previous laser-tracker-assisted camera-to-robot calibration method for ground-observing mobile robots, we present a generalized formulation for calibrating the camera pose in the coordinate system of tracker-localized mobile robots. The new approach relaxes assumptions of our previous method on robot and camera configuration by chaining multiple calibration targets resulting in a more general approach supporting various camera-equipped mobile robot systems.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：arXiv:2609.27001v1 Announce Type: new Abstract: We investigate humanoid locomotion with a fly-inspired recurrent controller and identify the pathways supporting its deployed behavior. The controller couples 3,609 continuous neural states to a simulated Unitree G1 through body-observation projections, a motor-neuron-labelled readout, and joint servos. We formulate this neural-body feedback system and evaluate a fixed checkpoint across seven terrain instances, three speeds, and three initial yaw offsets. It completes 61/63 conditions under a survival-and-forward-progress criterion; a privileged reference completes 62/63. At nominal yaw, resetting the recurrent motor state before every policy call changes success from 19/21 to 0/21. Conversely, depth and upstream-…

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：AI models train on information available on the internet. Robots can’t do that.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：The development adds to the rising momentum toward general-purpose robots and the real-world deployment of physical AI.

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Maximizing perf on AI-SQL queries with the KV-optimal left-deep join

AI 服務暫時不可用，以下為來源摘要，待恢復後補全翻譯：Heads of two of the world’s largest artificial intelligence companies give separate briefings on AI safety Sam Altman of OpenAI and Dario Amodei of Anthropic, heads of two of the world’s largest artificial intelligence companies, addressed the United Nations security council on Wednesday in separate briefings on AI safety. “We have a choice in front of us,” Altman told the council. “AI can either be more like a new renaissance of creativity and discovery, or more like a new industrial revolution of upheaval and disarray.” Continue reading...