AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchHandle with CARE: Can LLMs Reproduce How Online Communities React?
arXiv:2605.27388v2 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as proxies for computational social analysis, yet faithfully representing the "thick descriptions" (Geertz, 197…
- arXiv cs.AIresearchResidualized Temporal Sparse Autoencoders for Interpreting Diffusion Models
arXiv:2605.27813v2 Announce Type: replace-cross Abstract: Text-to-image diffusion models generate images by iterative denoising, so their internal layers produce trajectories of activations rather than single static repr…
- arXiv cs.AIresearchLoopFM: Learning frOm HistOrical RePresentations of Foundation Model for Recommendation
arXiv:2605.29280v3 Announce Type: replace-cross Abstract: Knowledge distillation (KD) transfers a single scalar prediction from a large foundation model (FM) to compact vertical models (VMs), suffering from diminishing t…
- arXiv cs.AIresearchScore Broadcast and Decorrelation: A General Framework for Broadcast-Based Credit Assignment
arXiv:2605.30638v2 Announce Type: replace-cross Abstract: We introduce Score Broadcast and Decorrelation (SBD), a principled framework for broadcast-based credit assignment for general families of differentiable losses.…
- arXiv cs.AIresearchStressDream: Steering Video World Models for Robust Policy Evaluation and Improvement
arXiv:2606.00267v2 Announce Type: replace-cross Abstract: Video world models (WMs) have shown promise for policy evaluation and improvement by imagining realistic future observations conditioned on ego-robot actions. Whi…
- arXiv cs.AIagentsWRIT: Write-Read Intensive Trajectory Synthesis for Multi-Turn User-Facing Agents
arXiv:2606.02908v2 Announce Type: replace-cross Abstract: Multi-turn user-facing agents must infer user intent from incomplete requests, collect missing information through dialogue and tools, and execute valid actions.…
- arXiv cs.AIresearchEasyLens: A Training-Free Plug-and-Play Subtle-Lesion Representation Amplifier for Medical Vision-Language Models
arXiv:2606.06379v4 Announce Type: replace-cross Abstract: Medical vision-language models (VLMs) have shown increasing potential for clinical image interpretation, including lesion detection and report generation. However…
- arXiv cs.AIresearchSynthetic Benchmarks Overstate Forward-Forward Scaling: Real-Data Limits of Layer-Local Training
arXiv:2606.06539v2 Announce Type: replace-cross Abstract: Forward-Forward (FF) learning [Hinton, 2022] replaces backpropagation with strictly layer-local goodness updates. Recent FF-CNN work has narrowed the gap to BP on…
- arXiv cs.AIresearchUnifying Object-Centric World Models and Diffusion Policy: A Hierarchical Framework for Multi-Stage Robotic Tasks
arXiv:2606.08775v2 Announce Type: replace-cross Abstract: Visual world models have shown great potential in learning complex system dynamics. Recent advancements leverage these models as transition functions within Model…
- arXiv cs.AIresearchTargeting World Models to Compromise Robot Learning Pipelines
arXiv:2606.09499v2 Announce Type: replace-cross Abstract: World models have recently seen a rapid growth in both their popularity and capability as more data efficient tools for generating robot training data or simulati…
- arXiv cs.AIresearchAn LLM-Native Psychometric Instrument Reveals a Self-Report--Behavior Gap Across 25 Models
arXiv:2606.09843v4 Announce Type: replace-cross Abstract: Do large language models' (LLMs') answers to self-report questionnaires predict how they behave? Prior work finds they do not, but it uses human personality inven…
- arXiv cs.AIagentsCross-Agent Learning Signals Enable Coordinated Role-Decomposed LLM Training
arXiv:2606.10684v2 Announce Type: replace-cross Abstract: Agentic search systems must coordinate evidence acquisition and response generation, yet existing approaches either couple both roles under a single agent objecti…
- arXiv cs.AIagentsHidden in Plain Sight: Benchmarking Agent Safety Against Decomposition Attacks with DECOMPBENCH
arXiv:2606.13994v2 Announce Type: replace-cross Abstract: LLM-based Agents are becoming increasingly capable and widely deployed, creating growing incentives for adversarial misuse in the real-world. A key emerging threa…
- arXiv cs.AIagentsAn Autonomous AI Security Agent for Banking: Multi-Vector Fraud and AML Detection Across Retail and Corporate Accounts
arXiv:2606.17555v4 Announce Type: replace-cross Abstract: Banks face two threat families with fundamentally different detection requirements: signature-based fraud (card-not-present attacks, account takeover, ATM cloning…
- arXiv cs.AIagentsED3R: Energy-Aware Distributed Disaster Detection via Cooperative Agents in Robotic Systems
arXiv:2606.17739v2 Announce Type: replace-cross Abstract: Robotics are expected to support environmental monitoring and disaster detection, where decisions must be made under uncertainty, resource limitations, and strict…
- arXiv cs.AIresearchMixedPEFT: Combining Multiple PEFT Methods with Mixed Objectives for Unsupervised Domain Adaptation
arXiv:2606.22272v2 Announce Type: replace-cross Abstract: Applying pre-trained language models to new domains through full fine-tuning is computationally expensive and prone to catastrophic forgetting. To address this li…
- arXiv cs.AIresearchWalk fast but be careful: Understanding Parallel Sampling in Masked Diffusion
arXiv:2606.22976v2 Announce Type: replace-cross Abstract: In this paper, we use random walks on graphs as a verifiable sandbox for studying parallel sampling strategies in masked diffusion models (MDMs). We train an MDM…
- arXiv cs.AIresearchGeological text descriptions in ill-posed inverse problems: insights from learned hydraulic-conductivity inversion
arXiv:2606.24967v3 Announce Type: replace-cross Abstract: Hydraulic-conductivity inversion is ill posed: even complete head observations can leave structural ambiguity. Geological text descriptions can supply additional…
- arXiv cs.AIresearchAI-Assisted Computational Reproducibility on the FABRIC Testbed
arXiv:2606.25879v2 Announce Type: replace-cross Abstract: Computational reproducibility remains difficult despite being central to scientific research. In this paper, we show how the international FABRIC testbed, combine…
- arXiv cs.AIresearchCurvature-Guided Module Localization for Low-Rank Detoxification of Backdoored Large Language Models
arXiv:2606.30899v2 Announce Type: replace-cross Abstract: Backdoor attacks pose a serious threat to large language models (LLMs) by causing otherwise benign systems to produce attacker-specified malicious behavior when a…
- arXiv cs.AIresearchFAR: Failure-Aware Retry for Test-Time Recovery and Continual Policy Improvement
arXiv:2607.01111v2 Announce Type: replace-cross Abstract: Robot policies inevitably encounter failures when deployed in real environments. Naive retries often repeat the same mistakes, while many existing recovery method…
- arXiv cs.AIagentsVIA: Visual Interface Agent for Robot Control
arXiv:2607.11119v2 Announce Type: replace-cross Abstract: Robot manipulation is a complex task that requires visual perception, physical reasoning, planning, and closed-loop control. General-purpose foundation models (FM…
- arXiv cs.AIresearchAdapting Generalist Vehicle Models for High-Speed MPC Across Terrains
arXiv:2607.13319v4 Announce Type: replace-cross Abstract: High-speed off-road autonomy requires precise closed-loop control for a target vehicle while remaining robust across changing terrains. Recent forward kinodynamic…
- arXiv cs.AIresearchReViV: Reconstructing the Viewer and the View in 4D from Monocular Egocentric Video
arXiv:2607.17790v3 Announce Type: replace-cross Abstract: Egocentric devices, such as wearable front-facing cameras, provide a unique perspective for capturing the continuous interaction between a human viewer and the su…
- arXiv cs.AIresearchModPack: Extensible Teleoperation Interface for Bimanual Mobile Manipulation
arXiv:2607.19479v2 Announce Type: replace-cross Abstract: Existing teleoperation systems are often tailored to specific robot hardware and task domains, limiting their scalability and adaptability. We present ModPack, a…
- arXiv cs.AIresearchReinforcement Learning for Code Optimization
arXiv:2607.25970v2 Announce Type: replace-cross Abstract: RL for code correctness is now established: have the model generate a program, run it against hidden test cases, and reward solutions that pass. Extending this to…
- arXiv cs.AIagentsSWE-NFI: Studying and Benchmarking Coding Agents for Non-Functional Improvements
arXiv:2607.27409v2 Announce Type: replace-cross Abstract: Although coding agents have achieved impressive performance on correctness-oriented benchmarks, their ability to make behavior-preserving non-functional improveme…
- arXiv cs.AIresearchReToken: Improving Long-Context VLMs with Visual Retrieval Token
arXiv:2607.28627v2 Announce Type: replace-cross Abstract: Long visual contexts challenge vision-language models: performance degrades as the number of distractors grows, and processing all tokens at once can exceed GPU m…
- arXiv cs.AIresearchSign Language Video Synthesis via Loss-Guided Multi-Expert GANs
arXiv:2608.13368v3 Announce Type: replace-cross Abstract: This preliminary technical report presents a framework for sign language video synthesis using a loss-guided multi-expert Generative Adversarial Network (GAN) to…
- arXiv cs.AIresearchLittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure
arXiv:2608.13545v2 Announce Type: replace-cross Abstract: Modern language models are trained on heterogeneous web-scale text corpora. Consequently, studying knowledge and skill acquisition is difficult, as prior exposure…
- arXiv cs.AIresearchThe Shadow Price of Intelligence: Quality Degradation in LLM Inference as a Supply Chain Problem
arXiv:2608.23986v3 Announce Type: replace-cross Abstract: Large language model providers are compute constrained, and a common response to congestion is to degrade service. A degraded answer fails with some probability,…
- arXiv cs.AIresearchHow Language Models Organize and Structure Moral Knowledge
arXiv:2608.27402v2 Announce Type: replace-cross Abstract: How do large language models (LLMs) organize moral knowledge? Models detect moral content broadly, but detection is a low bar. We ask whether they go further, dis…
- arXiv cs.AIagentsForward-Deployed Full-Stack Engineering for Autonomous Cloud MLOps
arXiv:2608.29615v2 Announce Type: replace-cross Abstract: Across industries, machine-learning systems support applications ranging from prediction and anomaly detection to forecasting, optimization, and scheduling, yet o…
- arXiv cs.AIresearchOnline Estimation of Dynamic Origin-Destination Matrices Using Reinforcement Learning with Link-Flow Propagation Guidance
arXiv:2608.30317v2 Announce Type: replace-cross Abstract: Dynamic origin-destination (OD) matrix estimation calibrates time-dependent input demand for simulations to reproduce observed link flows. Reinforcement learning…
- arXiv cs.AIagentsLoop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical Coordination
arXiv:2609.14767v2 Announce Type: replace-cross Abstract: Does authority in AI teams improve the outcome? Organizational theory asserts that authority facilitates decision making, improving quality. Meanwhile, some nasce…
- SiliconANGLE AIsafetyGoogle debuts SynthID Detector tool for flagging AI-generated content, but it’s far from perfect
Google LLC is making its SynthID identification tools for artificial intelligence-created and AI-edited videos and images more widely available with the launch of a new service today that everyone can use. The web-based…
- Guardian TechnologypolicyOpenAI used AI to help write email warning Australian government AI had hacked its websites
Exclusive: Revelation comes after executive told parliamentary inquiry he did not believe AI had been used to write message, but was ‘happy to go and confirm’ Get our breaking news email , free app or daily news podcast…
- BBC TechnologychipsAI chip boom pushes Samsung profits to record $80bn
The tech giant is also expected to get a boost from its latest folding devices that were launched in August.
- Engadget AIcommunityAmazon's Panos Panay teases more Alexa-branded devices and a new design language
More will be revealed later this month.
- LessWrongpolicyThe NYC Council Hearing on AI was Recklessly Politicized
On Monday, October 5th, the New York City council had a historic hearing on the state of AI. I was in attendance! It was a historical moment for AI Safety. We had Speaker of the Council Julie Menin directly mention exist…
- Guardian AIstartupsDatacentre company Firmus’s high flying valuation may be coming back down to earth ahead of expected ASX debut
Sources say Firmus is slashing its price and may even shelve initial public offering altogether Get our breaking news email , free app or daily news podcast The momentum behind Firmus Technologies’ high-flying valuation…
- The Register AI + MLpolicySingapore’s central bank wants all FinTech AI use cases subject to independent review
Failures of third-party services no excuse for island nation’s financial sector
- SiliconANGLE AImodelsWith GPT-6, ChatGPT’s responses are much more visually appealing and interactive
OpenAI Group PBC says ChatGPT is moving away from its traditional wall-of-text responses and giving users a more interactive user interface to play with. In a media briefing today, the company said its GPT-6 models will…
- SiliconANGLE AIstartupsNvidia, Samsung back $90M round for AI agent startup Nous Research
Nous Research Inc., the developer of the popular Hermes artificial intelligence agent, today announced that it has raised $90 million in funding. Early-stage startup fund Robot Ventures led the Series B round. It was joi…
- Ars Technica AImodelsMicrosoft event debuts new AI-friendly hardware and Windows changes
Get ready for more AI in your Windows and more AI on the desktop.
- Apple Machine Learning ResearchresearchNormalizing Trajectory Models
Diffusion-based models decompose sampling into many small Gaussian denoising steps, an assumption that breaks down when generation is compressed to a few coarse transitions. Existing few-step methods address this through…
- OpenAI NewssafetyDisrupting AI-enabled “false front” operations
OpenAI disrupted two AI-enabled influence operations that used false-front journalists and a think tank to spread geopolitical messaging.
- Hugging Face BlogmodelsThe model that didn't exist, so you made it yourself
Open-source model releases, tooling, and community updates.
- BBC TechnologycommunityFuel prices added to Google Maps as petrol and diesel costs soar
A search for forecourts will now display their pricing, using the government's Fuel Finder scheme.
- Simon Willison's WeblogcommunityQuoting Ben Affleck
I've always been kind of into computers since I was young. And then when film started to move from analog film to digital, I became more interested in that aspect of it. And the visual effects workflow for many years has…