Research1 мин
Guys, according to OpenAI and NVIDIA, don't panic!
Ребята, по OpenAI и NVIDIA, не паникуем!.
Telegram — Hackalem
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Research1 мин
Jev не умеет писать. Зато решает быстрее и в разы дешевле LLM
Привет, это Антон, и сегодня я хотел бы вам рассказать про модель Джеф. Ну, это не очередная модель. Это скорее та модель, которая сейчас немножко хайпует. И она у себя под капотом реализует совершенно иной принцип, не то, как мы привыкли. Мы обычно с вами привыкли, как то, что…
YouTube — Amorev
Research1 мин
Anthropic releases Claude Opus 5.5 - model beats GPT-6 Astra in key programming tests
Anthropic выпустила Claude Opus 5.5 — модель обошла GPT-6 Astra в ключевых тестах программирования.
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
OpenAI Introduces GPT-6 Sol and Luna with New API Pricing
OpenAI introduced GPT-6 Sol and Luna with new API pricing, reducing the cost by 50%.
SMNTCN (Semanticon) — глобальные новости ИИ
Telegram — GPT Time | Нейросети | ИИ
Research1 мин
Two major AI releases in one day As we wrote earlier, this week promised to be full of updates and...
Сразу два крупных AI-релиза за один день Как мы и писали ранее, эта неделя обещала быть насыщенной на обновления И....
Telegram — BlueScreen.kz
Research1 мин
Two major AI releases in one day As we wrote earlier, this week promised to be full of updates and...
Сразу два крупных AI-релиза за один день Как мы и писали ранее, эта неделя обещала быть насыщенной на обновления И....
Telegram — BlueScreen.kz
Research1 мин
Two major AI releases in one day As we wrote earlier, this week promised to be full of updates and...
Сразу два крупных AI-релиза за один день Как мы и писали ранее, эта неделя обещала быть насыщенной на обновления И....
Telegram — BlueScreen.kz
Research1 мин
ZeroGate: Trust-Preserving Fast Paths for Governed AI Agent Runtimes
arXiv:2609.25443v1 Announce Type: new Abstract: Moving authorization earlier can shorten an agent's dispatch boundary without removing authorization work. It can also admit an action whose payload, authority, or relevant state has changed. ZeroGate separates exact-action…
arXiv — cs.AI
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From Offline Proxies to Online Decisions: A Layered Engagement Evaluation Framework for Conversational AI
arXiv:2609.25408v1 Announce Type: new Abstract: Online A/B experiments are the decision standard for user engagement, but traffic and readout time limit how many conversational-AI changes can be tested. We ask whether an offline signal designed to be computable without…
arXiv — cs.AI
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From Decorative to Load-Bearing: Task Difficulty Shapes the Causal Role of Chain-of-Thought
arXiv:2609.25366v1 Announce Type: new Abstract: Chain-of-thought (CoT) monitoring is only meaningful if written reasoning causally constrains the answer. We introduce continuation-based causal testing, an ablation-patch intervention that perturbs one reasoning step, truncates…
arXiv — cs.AI
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RAG-NAROK: Retrieval-Aware Knowledge Corpus Poisoning in RAG with Source-specific Refutation
arXiv:2609.25469v1 Announce Type: new Abstract: Retrieval augmented generation (RAG) systems have emerged as the dominant architecture for grounding large language model (LLM) outputs in verifiable external knowledge, yet their structural reliance on a dynamic retrieval pipeline…
arXiv — cs.AI
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Learned Enterprise Data Comprehension: Compression and Routing for Data Agents
arXiv:2609.25286v1 Announce Type: new Abstract: Structured-data agents in enterprise settings must reason over complex data environments whose relevant evidence is distributed across schemas, relationships, policies, and recurring business roles. Modern agentic systems often…
arXiv — cs.AI
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The AI Neuroscientist: An Interactive Agentic Interface for Neuroimaging Analysis
arXiv:2609.25254v1 Announce Type: new Abstract: Analyzing neuroimaging data requires specialized coding and statistical expertise, which limits accessibility for researchers without computational backgrounds. We present the AI Neuroscientist, a language agent for interactive…
arXiv — cs.AI
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Real-Time Hand Gesture Recognition for OpenXR Using Transformer-Based Machine Learning
arXiv:2609.25466v1 Announce Type: new Abstract: Hand gesture recognition is a key component in human-computer interaction (HCI), enabling intuitive interfaces for applications in gaming, virtual reality (VR), robotics, and more. This study integrates transformer-based…
arXiv — cs.AI
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X-Planner: Event-Structured Task Planning for Embodied Intelligence
arXiv:2609.25187v1 Announce Type: new Abstract: Task planning bridges high-level instructions and executable behavior in long-horizon manipulation, yet modern Vision-Language-Action (VLA) systems often leave this intermediate structure implicit. Existing chain-of-thought (CoT)…
arXiv — cs.AI
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Attention as a Routing Graph: Live Circuit Extraction from a Single Forward Pass
arXiv:2609.25285v1 Announce Type: new Abstract: Finding circuits in language models usually means running many careful interventions. We try something simpler: treat attention as a routing map from one forward pass, keep a small set of routes that point toward the answer, and…
arXiv — cs.AI
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Rollout Efficiency in Reinforcement Learning for Reasoning Large Language Models: A Taxonomy and Future Directions
arXiv:2609.25463v1 Announce Type: new Abstract: Reasoning-oriented reinforcement learning enables large language models to solve mathematical, coding, and other multi-step tasks, but shifts a substantial portion of the training cost to rollout, where trajectories are generated…
arXiv — cs.AI
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MedGate-Fusion: Integrating First-Encounter Semantic Narratives and Physiological Biomarkers for Prospective Stroke Risk Stratification
arXiv:2609.25272v1 Announce Type: new Abstract: Prospective stroke risk stratification in primary care is challenging because early risk signals are distributed across routine biomarkers and unstructured clinical narratives. We propose MedGate-Fusion, a multi-modal gated…
arXiv — cs.AI
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Potential for Enhanced Learning in Machine Learning Classes by Using Wiki LLM Indexing
arXiv:2609.25303v1 Announce Type: new Abstract: Large language models are increasingly deployed as course-specific tutors, but their usefulness depends on grounding in vetted instructional materials that are often revised mid-semester. Our prior work built a multimodal…
arXiv — cs.AI
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An Accurate and Interpretable Hyper Graph Neural Network for GBM Survival Prediction
arXiv:2609.25088v1 Announce Type: new Abstract: Survival prediction for glioblastoma multiforme (GBM) demands models that are both accurate and interpretable, yet existing approaches treat these objectives as com- peting, where performant models sacrifice transparency, while…
arXiv — cs.AI
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Do Existing Preconditioners Improve Biomedical Tabular Foundation Learning? An Empirical Study on TabPFN Optimization
arXiv:2609.25013v1 Announce Type: new Abstract: Tabular foundation models have recently shown strong potential for structured biomedical data analysis. Among them, TabPFN has emerged as an effective approach for low-data tabular classification tasks. However, the impact of…
arXiv — cs.AI
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Lean Pool: An AI-Maintained Archive of Formalized Mathematics
arXiv:2609.25199v1 Announce Type: new Abstract: Lean Pool is a repository of formalized mathematics. It is grown, maintained and optimized by AI agents.
arXiv — cs.AI
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DGS-JEPA: Temporally Compositional Joint-Embedding Prediction for Dynamic Gaussian Splatting
arXiv:2609.25036v1 Announce Type: new Abstract: Dynamic Gaussian Splatting provides an explicit representation of evolving 3D scenes, but existing approaches are primarily optimized for reconstruction, future-state generation, or rendering rather than for learning reusable…
arXiv — cs.AI
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Efficient Iterative Retrieval with Heterogeneous Batching
arXiv:2609.25405v1 Announce Type: new Abstract: Modern information retrieval increasingly employs both embedding and generative models to handle complex queries. However, current serving systems suffer from low throughput and poor GPU utilization because they execute these…
arXiv — cs.AI
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Robust Failure, Conservative Repair: Textual Knowledge Distillation from Cross-Model Failures
arXiv:2609.25400v1 Announce Type: new Abstract: Failure-based textual knowledge distillation aims to discover gaps in a model's knowledge by examining its task errors. The distilled knowledge can be useful for the reasoning of both this model ("source model") and other models.…
arXiv — cs.AI
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Do Synthetic Personas Predict Real Audience Response? A Sim-to-Real Study Where a No-Persona Baseline Beats Persona-Based Copy Simulation
arXiv:2609.25010v1 Announce Type: new Abstract: Marketers increasingly use large language models (LLMs) as "synthetic personas" to predict how an audience will react to a piece of copy before it ships, encouraged by evidence that profile-conditioned LLMs mimic human samples. But…
arXiv — cs.AI
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When LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning
arXiv:2609.25284v1 Announce Type: new Abstract: A social agent's most basic decisions (should I react to this post? who should I reach out to?) are not purely content problems. The right action often hinges on the latent relationship between people -- tie strength, reciprocity,…
arXiv — cs.AI
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Ovis-Embedding: Pushing the Frontiers of Universal Omni-Modal Embeddings
arXiv:2609.25165v1 Announce Type: new Abstract: In this report, we introduce \textbf{Ovis-Embedding}, a state-of-the-art omni-modal embedding family built on native integration of text, image, video, and audio. Instead of assembling separate modality towers, Ovis-Embedding uses…
arXiv — cs.AI
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Clarification Is Not Correction: LLMs Fail to Let Go
arXiv:2609.25337v1 Announce Type: new Abstract: Dialogue failures in language models are usually framed as memory failures: context too long, summaries lossy, a constraint forgotten. We argue this misses a deeper problem: in many conversations the model does not forget, it…
arXiv — cs.AI