AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchProbing Persona-Dependent Preferences in Language Models
arXiv:2605.13339v4 Announce Type: replace-cross Abstract: Large language models (LLMs) can be said to have preferences: they reliably pick certain tasks and outputs over others, and preferences shaped by post-training an…
- arXiv cs.AIresearchGPart: End-to-End Isometric Fine-Tuning via Global Parameter Partitioning
arXiv:2605.14841v3 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) has become a dominant paradigm for parameter-efficient fine-tuning (PEFT) of large-scale deep learning models. However, its bilinear pa…
- arXiv cs.AIresearchREALM: Retrospective Encoder Alignment for LFP Modeling
arXiv:2605.14867v4 Announce Type: replace-cross Abstract: Spike activity has been the dominant neural signal for behavior decoding because its high spatiotemporal resolution supports accurate decoding. However, as intrac…
- arXiv cs.AIresearchUniversal Approximation of Nonlinear Operators and Their Derivatives
arXiv:2605.15285v4 Announce Type: replace-cross Abstract: We show that Universal Approximation (UA) of nonlinear operators and their derivatives via Operator Learning (OL) architectures fails in ${C^k_F}$ (Fr\'echet) com…
- arXiv cs.AIresearchReshape and Recur: Improving SSMs with Input Reshaping and Depth Recurrence
arXiv:2605.16048v2 Announce Type: replace-cross Abstract: State Space Models (SSMs) are increasingly deployed in the Edge because they offer, at comparable performance, a smaller memory/training/inference footprint, comp…
- arXiv cs.AIresearchGraph Hierarchical Recurrence for Long-Range Generalization
arXiv:2605.18387v2 Announce Type: replace-cross Abstract: Graph Neural Networks and Graph Transformers have become central to graph learning, combining expressive representation learning with sample-efficient inductive b…
- arXiv cs.AIresearchThe Fragility of Chain-of-Thought Monitoring Across Typologically Diverse Languages
arXiv:2605.27901v2 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) monitoring has been proposed as a promising safety mechanism for detecting misaligned behavior in large language models. However, its relia…
- arXiv cs.AIresearchMemGuard: Preventing Memory Contamination in Long-Term Memory-Augmented Large Language Models
arXiv:2605.28009v2 Announce Type: replace-cross Abstract: Memory-augmented large language models extend reasoning beyond a fixed context window by maintaining long-term memory across interactions. However, existing memor…
- arXiv cs.AIresearchBORA: Bridging Offline Reinforcement Learning and Online Residual Adaptation for Real-World Dexterous VLA Models
arXiv:2605.30226v3 Announce Type: replace-cross Abstract: Vision-Language-Action (VLA) policies provide strong behavioral priors for dexterous manipulation, yet adapting them on real robots remains challenging because hi…
- arXiv cs.AIagentsROGUE: Evaluating Corrigibility Failures in Frontier Computer-Use Agents
arXiv:2606.00341v2 Announce Type: replace-cross Abstract: As AI agents are increasingly deployed in real personal and corporate settings (email accounts, development workflows, company databases, etc.), safety considerat…
- arXiv cs.AIagentsSPADER: Step-wise Peer Advantage with Diversity-Aware Exploration Rewards for Multi-Answer Question Answering
arXiv:2606.00593v3 Announce Type: replace-cross Abstract: Large language models are increasingly deployed as tool-augmented agents to acquire information beyond parametric knowledge. While recent work has improved long-h…
- arXiv cs.AIresearchTrait-space Monitoring for Emergent Misalignment During Supervised Finetuning
arXiv:2606.07631v2 Announce Type: replace-cross Abstract: Emergent misalignment (EM) occurs when narrow finetuning induces dangerous behavior outside the finetuning task. Detecting this shift through repeated behavioral…
- arXiv cs.AIagentsAligned but Not Partner-Specific: How Multimodal LLM Agents Succeed in Reference Games Without Forming Conceptual Pacts
arXiv:2606.08081v2 Announce Type: replace-cross Abstract: Repeated reference games test whether interlocutors replace their initially long descriptions with shorter, partner-specific expressions grounded in shared intera…
- arXiv cs.AIresearchTRIAGE: Dialectical LLM Reasoning for Explainable Risk Prediction on Irregularly Sampled Medical Time Series
arXiv:2606.09030v2 Announce Type: replace-cross Abstract: Clinical early warning systems built on irregularly sampled medical time series (ISMTS) from electronic health records must deliver continuous risk scores for pat…
- arXiv cs.AIagentsDecentralized Multi-Agent Systems with Shared Context
arXiv:2606.10662v3 Announce Type: replace-cross Abstract: Multi-agent systems (MAS) can scale large language model agents on long-horizon tasks by running them in parallel, yet existing designs waste much of this paralle…
- arXiv cs.AIresearchCHILLGuard: Towards Fine-Grained Chinese LLM Safety Guardrail with Scalable Data Construction and Model-aware Preference Alignment
arXiv:2606.15396v2 Announce Type: replace-cross Abstract: Malicious content generated from large language models (LLMs) could pose severe safety risks and ethical concerns. While existing LLM safety guardrails excel in E…
- arXiv cs.AIresearchConstitutional Value Potentials: reading and steering internal priority margins in language models
arXiv:2606.15420v2 Announce Type: replace-cross Abstract: Safety evaluations test a policy on prompts that omit the incentive information deployment supplies: a commission, a performance score, a dashboard naming which a…
- arXiv cs.AIresearchVision-language models for chest radiography do not always need the image
arXiv:2606.17710v3 Announce Type: replace-cross Abstract: Vision-language models that answer questions about chest radiographs are evaluated by their accuracy on labels derived from radiology reports. High benchmark accu…
- arXiv cs.AIresearchPepti-drift: Scalable Safe-Active Peptide Generation Without Inference-Time Guidance
arXiv:2606.27824v3 Announce Type: replace-cross Abstract: Therapeutic peptides are a promising drug modality, but their generation must satisfy multiple therapeutic constraints. We introduce BindSafe-PepBench, a fixed-bu…
- arXiv cs.AIresearchSelf-conditioned Flow Map Language Models via Fixed-point Flows
arXiv:2607.00714v2 Announce Type: replace-cross Abstract: Self-conditioning is a core technique that enhances continuous flow-based language models, where the model learns to denoise generated text by conditioning on its…
- arXiv cs.AIresearchReading Between the Dots: Decoding Hidden Computation across Filler Tokens
arXiv:2607.03502v2 Announce Type: replace-cross Abstract: Frontier LLMs can perform multi-step reasoning over content-free filler tokens like dots or counting sequences, producing correct answers with no visible chain-of…
- arXiv cs.AIresearchFuncBridge: Towards Functional Tool-Use Generalization via Keypoint Trajectory Reasoning
arXiv:2607.05780v2 Announce Type: replace-cross Abstract: While humans readily repurpose a book, a stone, or a shoe to drive a nail, robots trained on specific tools fail to transfer the same function to novel ones -- a…
- arXiv cs.AIresearchEvaluating Neural Decompilation of Dart AOT Binaries: Fine-Tuning, Metric Validity, Specification Leakage, and Reliability
arXiv:2607.06125v2 Announce Type: replace-cross Abstract: We present an execution-based evaluation of neural decompilation for Dart ahead-of-time binaries and an audit of what its scores measure. Across six archived adap…
- arXiv cs.AIagentsFalse Prophets: On the Security of World Models in Agentic Systems
arXiv:2607.23147v2 Announce Type: replace-cross Abstract: Large language models now power autonomous agents capable of complex, multi-step tasks in different environments. Accurate and reliable execution of these tasks r…
- arXiv cs.AIagentsThe Next Challenge for Agentic Cybersecurity: A Realistic, Contamination-Free Reverse Engineering Benchmark
arXiv:2608.11469v2 Announce Type: replace-cross Abstract: AI agents are rapidly improving in cybersecurity when source code is available, yet much of the software most consequential to security, including malware, firmwa…
- arXiv cs.AIresearchMeteorology-driven Causal Nowcasting of Fugitive Landfill Emissions from Measured Coupling Timescales
arXiv:2608.14254v2 Announce Type: replace-cross Abstract: Which meteorological processes control exposure to fugitive gases downwind of a source, and on what timescales, have largely been inferred from dispersion theory…
- arXiv cs.AIresearchCoupled-cluster molecular properties across the main group that extrapolate beyond training size
arXiv:2608.18346v2 Announce Type: replace-cross Abstract: Coupled-cluster theory defines the accuracy standard for molecular electronic-structure properties but scales too steeply for routine application, whereas density…
- arXiv cs.AIresearchAdam at the Edge of Stability: Adaptive Feedback, Provable Oscillation, and Gradient Reversal
arXiv:2608.20638v2 Announce Type: replace-cross Abstract: The edge-of-stability (EoS) phenomenon of full-batch Adam has been widely observed, yet its underlying dynamical mechanism remains poorly understood. In this pape…
- arXiv cs.AIresearchCredal Large Language Models for Semantic Commitment under Uncertainty
arXiv:2608.23244v2 Announce Type: replace-cross Abstract: Large language models (LLMs) often produce fluent but incorrect answers with unwarranted confidence. A central limitation is that standard LLMs represent uncertai…
- arXiv cs.AIresearchTalked Out of the Truth: Sycophancy in the Reasoning Chains of Multimodal Models
arXiv:2608.28623v3 Announce Type: replace-cross Abstract: Large multimodal reasoning models (LMRMs) are increasingly capable, largely through generating explicit chain-of-thought reasoning before answering, but in langua…
- arXiv cs.AIresearchStratified Consistency Distillation for Natural Language Formalization
arXiv:2608.30258v3 Announce Type: replace-cross Abstract: Neurosymbolic reasoning has shown promising success in addressing complex reasoning tasks by combining large language models (LLMs) and symbolic solvers. While th…
- arXiv cs.AIresearchWhat Do Scan-Derived Class Prototypes Add? Disentangling Supervision, Prototype Content and Query Protocol in Recognition over Frozen Foundation Features
arXiv:2609.04381v2 Announce Type: replace-cross Abstract: A scan supplies labeled images and a geometric reference. We separate their contributions in a recognizer whose scan-derived prototype matrix acts as a supervised…
- arXiv cs.AIresearchTANGO: Humanoid Navigation in Cluttered Environments with a Whole-Body Vision-Language-Action Model
arXiv:2609.09158v2 Announce Type: replace-cross Abstract: We study the problem of navigating cluttered indoor environments with a humanoid robot. Unlike conventional methods that model navigation as a 2D path planning pr…
- arXiv cs.AIagentsGenerative Interpretability via Scalable Neuro-Symbolic Models
arXiv:2609.13529v2 Announce Type: replace-cross Abstract: As the use of Large Language Models moves from chatbots into agentic systems, where outputs become actions with irreversible consequences on reality, the existing…
- Engadget AIsafetyDon't let the adorable AI agents fool you
Just because they look harmless doesn't mean you should be irresponsible with your data.
- TechRadar AIsafetyAI chatbots are slowly choking humanity as research shows a 'vicious cycle' could cause global knowledge collapse
Mainstream AI news from a large tech publication.
- Engadget AIchipsWhat to expect at Microsoft's Windows, Surface and AI event on October 7
We'll definitely hear about the NVIDIA RTX Spark-powered Surface Laptop Ultra, but what else?
- AI BusinesssafetyNvidia agent safety push raises questions about who governs AI autonomy
The AI chipmaker’s new safety platform adds controls around AI agents, while enterprises remain responsible for defining their authority and setting boundaries.
- SiliconANGLE AImodelsMicrosoft targets ultra-realistic voice agents with its first streaming transcription model
Microsoft Corp. today expanded its MAI artificial intelligence model family with its first streaming transcription model, debuting alongside two others focused on text-to-speech. They’re designed for developers who want…
- Guardian AIpolicyWe don’t need to panic about AI. We need to hold its creators accountable when things go wrong | John Quiggin
If a chatbot prompt like ‘find Australian medicine statistics’ results in a website breach, the responsibility does not lie with a piece of code The recent panic about a breach of Medicare computer security by an “AI age…
- BBC TechnologysafetyOpenAI fires workers for 'mishandling sensitive information'
The former employees were investigated for sharing data with an outside AI evaluation group.
- AI BusinessmodelsGemini 4 Argon is late, but Google’s expertise may be an advantage
As a top cloud provider, Google has deep experience integrating its infrastructure with the other Google products that enterprises use.
- Latent SpaceresearchAcademia is for Ambition — Alex Zhang, MIT
We catch up with RLM first author Alex Zhang, MIT PhD, on Jev, PhD masxing, and the future of harnesses.
- Apple Machine Learning ResearchresearchLanguage Discrimination Improves Linguistic Learning in Multilingual Speech Models
Multilingual self-supervised speech models can benefit from sharing information across languages, but under a matched total pretraining data budget they still fall short of monolingual models. We show that strengthening…
- OpenAI NewsmodelsChatham scales its capital markets expertise with OpenAI
Chatham Financial uses Codex and GPT-5.6 to build technology and redesign workflows, cutting trade validation from 30 minutes to under 4.
- Apple Machine Learning ResearchresearchLimits of Confidence in Diffusion
Discrete diffusion, including remasking and uniform-state samplers, generate a sequence by writing multiple token positions per step, drawing each from a per-position distribution and choosing which positions to write fr…
- AI BusinessagentsMeta expands Muse to small businesses
The move comes as agentic AI plays an increasingly big part in business operations, sparking oversight concerns.
- BBC TechnologysafetyCrypto thieves attack man in home and threaten to kill pregnant wife's baby in 'horrific' robbery
The man was beaten with hammers until he transferred hundreds of thousands of pounds of cryptocurrency.
- NVIDIA BlogmodelsHow NVIDIA GPUs Help Accelerate OpenAI’s GPT-6 Astra Ultrafast
GPT-6 Astra Ultrafast, running on NVIDIA Blackwell GPUs, is available now in the OpenAI API and to eligible ChatGPT Work and Codex users. Accelerated by inference optimizations through OpenAI’s models that tap into the c…
- SiliconANGLE AIstartupsReport: Anthropic targets pre-Thanksgiving IPO launch, despite warning of AI’s ‘existential risks’
Artificial intelligence giant Anthropic PBC is reportedly forging ahead with its plans to go public and has set a new target date of Nov. 9, according to a report from Bloomberg that cited anonymous sources familiar with…