AI news archive.
19,856 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchOn the Faithfulness of Visual Thinking: Measurement and Enhancement
arXiv:2510.23482v2 Announce Type: replace-cross Abstract: Recent large vision-language models (LVLMs) can generate vision-text multimodal chain-of-thought (MCoT) traces after reinforcement fine-tuning (RFT). However, we…
- arXiv cs.AIresearchSpeech-DRAME: A Framework for Human-Aligned Benchmarks in Speech Role-Play
arXiv:2511.01261v2 Announce Type: replace-cross Abstract: Evaluating spoken role-play requires judging not only linguistic content but also prosody, emotional expression, character embodiment, and contextual fit. Existin…
- arXiv cs.AIresearchDiTGaze: Geometry-Conditioned Diffusion Augmentation for Few-Shot Gaze Estimation
arXiv:2511.11231v2 Announce Type: replace-cross Abstract: Accurate person-specific gaze estimation benefits from labeled user data, but collecting images that densely cover gaze directions is burdensome. We present DiTGa…
- arXiv cs.AIresearchInstruction-Tuning Open-Weight Language Models for BPMN Model Generation
arXiv:2512.12063v2 Announce Type: replace-cross Abstract: Domain models are central to software engineering, as they enable a shared understanding, guide implementation, and support automated analyses and model-driven de…
- arXiv cs.AIresearchScaling Causal Mediation for Complex Systems: A Framework for Root Cause Analysis
arXiv:2512.14764v2 Announce Type: replace-cross Abstract: Modern operational systems ranging from logistics and cloud infrastructure to industrial IoT, are governed by complex, interdependent processes. Understanding how…
- arXiv cs.AIresearchVariational decomposition autoencoding improves disentanglement of latent representations
arXiv:2601.06844v2 Announce Type: replace-cross Abstract: Understanding the structure of complex, nonstationary, high-dimensional time-evolving signals is a central challenge in scientific data analysis. In many domains,…
- arXiv cs.AIresearchTIRx: A Unified Tile Primitive ML Compiler Across Heterogeneous Backends
arXiv:2601.19092v3 Announce Type: replace-cross Abstract: Modern ML kernels evolve rapidly with new optimizations and hardware features. ML compiler abstractions must accommodate richer memory hierarchies, more forms of…
- arXiv cs.AIresearchEroding the Truth-Default: A Causal Analysis of Human Susceptibility to Foundation Model Hallucinations and Disinformation in the Wild
arXiv:2601.22871v3 Announce Type: replace-cross Abstract: As foundation models (FMs) approach human-level fluency, distinguishing synthetic from organic content has become a key challenge for Trustworthy Web Intelligence…
- arXiv cs.AIresearchSafe Reinforcement Learning via Recovery-based Shielding with Gaussian Process Dynamics Models
arXiv:2602.12444v3 Announce Type: replace-cross Abstract: Reinforcement learning (RL) is a powerful framework for optimal decision-making and control but often lacks provable guarantees for safety-critical applications.…
- arXiv cs.AIresearchInterpretability-by-Design with Accurate Locally Additive Models and Conditional Feature Effects
arXiv:2602.16503v2 Announce Type: replace-cross Abstract: Generalized additive models (GAMs) offer high interpretability through independent univariate feature effects but underfit when interactions are present in data.…
- arXiv cs.AIresearchSUREON: A Benchmark and Vision-Language Model for Surgical Reasoning
arXiv:2603.06570v2 Announce Type: replace-cross Abstract: A capable surgical AI model should reason from visual evidence; yet, many existing surgical benchmarks can be partially solved without visual input, as models may…
- arXiv cs.AIresearchProof-Carrying Materials: Falsifiable Safety Certificates for Machine-Learned Interatomic Potentials
arXiv:2603.12183v3 Announce Type: replace-cross Abstract: Machine-learned interatomic potentials (MLIPs) are deployed for high-throughput materials screening without formal reliability guarantees. We show that a single M…
- arXiv cs.AIagentsOpen Biomedical Knowledge Graphs at Scale: Construction, Federation, and AI Agent Access with Samyama Graph Database
arXiv:2603.15080v4 Announce Type: replace-cross Abstract: Biomedical knowledge is fragmented across siloed databases---Reactome, STRING, Gene Ontology, ClinicalTrials.gov, DrugBank, DGIdb, SIDER, PubMed, ClinVar, ChEMBL,…
- arXiv cs.AIresearchSpecification-Aware Distribution Shaping for Robotics Foundation Models
arXiv:2603.17969v2 Announce Type: replace-cross Abstract: Robotics foundation models have demonstrated strong capabilities in executing natural language instructions across diverse tasks and environments. However, they r…
- arXiv cs.AIresearchEnhancing Safety of Large Language Models via Embedding Space Separation
arXiv:2603.20206v2 Announce Type: replace-cross Abstract: Safety alignment does not fully prevent large language models (LLMs) from producing harmful content under adversarial attacks. We observe that existing attack met…
- arXiv cs.AIagentsSTRIATUM-CTF: A Protocol-Driven Agentic Framework for Autonomous CTF Solving
arXiv:2603.22577v2 Announce Type: replace-cross Abstract: Autonomous cyber operations increasingly depend on agents that can chain reconnaissance, exploitation, and analysis across many tools while maintaining state over…
- arXiv cs.AIresearchCan Humans Tell? A Dual-Axis Study of Human Perception of LLM-Generated News
arXiv:2604.03755v2 Announce Type: replace-cross Abstract: Can humans tell whether a news article was written by a person or a large language model (LLM)? We investigate this question using JudgeGPT, a study platform that…
- arXiv cs.AIagentsM$^\star$: Every Task Deserves Its Own Memory Harness
arXiv:2604.11811v3 Announce Type: replace-cross Abstract: Large language model agents rely on a memory harness to write, organize, retrieve, and use past experience. A harness that works for one task often fails on anoth…
- arXiv cs.AIresearchAutoregressive Diffusion for Compositional Text-to-Scene Generation
arXiv:2604.16552v3 Announce Type: replace-cross Abstract: Recent text-to-scene generation approaches largely reduced the manual efforts required to create 3D scenes. However, their focus is either to generate a scene lay…
- arXiv cs.AIresearchHow Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum
arXiv:2604.25907v3 Announce Type: replace-cross Abstract: The standard recipe for training reasoning models---SFT on rationale annotations followed by RLVR---relies on rationale annotations being available and clean. Whe…
- arXiv cs.AIresearchAMMA: A Multi-Chiplet Memory-Centric Architecture for Low-Latency 1M Context Attention Serving
arXiv:2604.26103v3 Announce Type: replace-cross Abstract: All current LLM serving systems place the GPU at the center, from production-level attention-FFN disaggregation to NVIDIA's Rubin GPU-LPU heterogeneous platform.…
- arXiv cs.AIresearchSparkle: Realizing Lively Instruction-Guided Video Background Replacement via Decoupled Guidance
arXiv:2605.06535v2 Announce Type: replace-cross Abstract: In recent years, open-source efforts like Senorita-2M have propelled video editing toward natural language instruction. However, current publicly available datase…
- arXiv cs.AIagentsEvoMemBench: Benchmarking Agent Memory from a Self-Evolving Perspective
arXiv:2605.18421v3 Announce Type: replace-cross Abstract: Recent benchmarks for Large Language Model (LLM) agents mainly evaluate reasoning, planning, and execution. However, memory is also essential for agents, as it en…
- arXiv cs.AIresearchDRScaffold: Boosting Dense-Scene Reasoning in Lightweight Vision Language Models
arXiv:2605.26038v2 Announce Type: replace-cross Abstract: Lightweight vision-language models perform competitively on standard benchmarks yet fail systematically in dense-scene reasoning, where multiple objects, attribut…
- arXiv cs.AIresearchAnalyzing the Optimization Conflict Between Image- and Text-Based Person Re-Identification
arXiv:2606.02242v2 Announce Type: replace-cross Abstract: Unifying image-based (I2I) and text-based (T2I) person re-identification (ReID) within a single model is complicated by a fundamental conflict between their train…
- arXiv cs.AIresearchHow Do Video Foundation Models Encode Intuitive Physics? Probing Across Pretraining Paradigms
arXiv:2606.09646v3 Announce Type: replace-cross Abstract: Do video foundation models encode a usable sense of how the physical world works, and does intuitive physics emerge naturally from large-scale video pretraining?…
- arXiv cs.AIresearchBeyond IID: How General Are Tabular Foundation Models, Really?
arXiv:2606.30410v2 Announce Type: replace-cross Abstract: Foundation models for predictive machine learning on tabular data have recently gained significant traction in academia and industry. Research communities across…
- arXiv cs.AIresearchTowards Diverse and Comprehensive Benchmarks for Mutual Information Estimation
arXiv:2607.03487v2 Announce Type: replace-cross Abstract: Mutual information estimation is a central problem in machine learning and statistics; however, existing benchmarks typically evaluate estimators on simplified, l…
- arXiv cs.AIresearchDAUPNet: Domain-Aware Uncertainty Modeling for Reliable Prototype Discrimination in Cross-Domain Few-Shot Semantic Segmentation
arXiv:2607.16308v2 Announce Type: replace-cross Abstract: Cross-domain few-shot semantic segmentation (CD-FSS) has predominantly been formulated as learning domain-invariant representations or improving support-query cor…
- arXiv cs.AIresearchFree energy landscape of Dense Associative Memory
arXiv:2607.19195v3 Announce Type: replace-cross Abstract: Using large deviations theory, we solve and obtain a general expression for the free energy functional for a broad class of associative memories, including dense…
- arXiv cs.AIresearchCogBattery: Human-Referenced Evaluation of Cognitive Task Behavior and Structure in Language Models
arXiv:2607.24999v2 Announce Type: replace-cross Abstract: Human cognitive tasks let us compare language models with humans under controlled conditions. Yet a model can reproduce the direction of a human effect while maki…
- arXiv cs.AIresearchReBRAC-v2: The Return of the King
arXiv:2608.01205v2 Announce Type: replace-cross Abstract: Recent offline reinforcement learning methods increasingly rely on expressive generative policies and specialized value guidance. We ask how far systematic modern…
- arXiv cs.AIagentsGUI-Lens: Enabling Precise GUI Grounding for Off-the-Shelf VLMs via Coarse-to-Fine Cropping
arXiv:2608.03270v2 Announce Type: replace-cross Abstract: GUI grounding maps natural-language instructions to click locations and is essential for reliable GUI agents. The task remains difficult on high-resolution, dense…
- arXiv cs.AIresearchSimulation-free Unbalanced Dynamic Optimal Transport with General Growth Penalty
arXiv:2609.04710v2 Announce Type: replace-cross Abstract: Inferring cellular dynamics from unpaired single-cell snapshots requires modeling both state transitions and population growth or death. Unbalanced dynamic optima…
- arXiv cs.AIagentsTamilEOT: A Dataset and Model for Semantic End-of-Turn Detection in Tamil Telephone Speech
arXiv:2609.05631v2 Announce Type: replace-cross Abstract: A voice agent must decide, at each pause, whether the speaker has finished or is still thinking. Without a model of the language, systems fall back to a fixed sil…
- arXiv cs.AIresearchHyCO: A Hybrid Neural Solver for Combinatorial Optimization
arXiv:2609.07990v2 Announce Type: replace-cross Abstract: Sequential reinforcement learning (RL) solvers and global diffusion model (DM) solvers for neural combinatorial optimization exhibit complementary failure modes u…
- The Register AI + MLmodelsIndia floats AI plan under which ‘The model travels to the data, rather than the data travelling to the model’
Wants more local AI, without Big Tech getting open access to everything
- Guardian AIsafetyPolice use facial recognition to scan one million faces in WA trial leading to 122 arrests
Deployments of surveillance vans over five months resulted in nine false alerts and led officers to engage with 146 registered sex offenders Get our breaking news email , free app or daily news podcast More than a millio…
- BBC TechnologysafetyBinance users withdraw $3.6bn after largest-ever crypto hack
The exchange froze transactions following the incident which has been linked to a North Korean group.
- TechRadar AIpolicyThis US state wants to let AI set up and run an entire business — with only a single human needed
Mainstream AI news from a large tech publication.
- Apple Machine Learning ResearchagentsOnline Dense Reinforcement Learning with Planning-Grounding Agent for UI Navigation on Live iOS Apps
While frontier vision-language models demonstrate strong capabilities in user interface (UI) navigation, their high inference costs prohibit everyday use. Conversely, smaller models trained via supervised fine-tuning (SF…
- LessWrongsafetyAgainst Against SURA
Scott: the Against SURA essay is well-written, but it is lacking on the merits. Do you think that at the current level of capabilities, six months would be sufficient to solve alignment of superintelligences? Maybe you t…
- Simon Willison's WeblogcommunityIf in doubt, delete the uv.lock file
I've been getting the occasional confusing Python dependency error since switching over to Python 3.15 and the rule I'm having to remember is: If in doubt, delete the uv.lock file Most of my projects are libraries which…
- The Register AI + MLopen-sourceLinus Torvalds says Linux kernel is out of 'stabilization phase' and using 'much healthier model' for AI contributions
Yet machine-made patches ‘often get rewritten’
- LessWrongsafetyOn Evenhandedness
Suppose humans are not your own species, but a type of AI you are formally assessing for safety. You have before you the records of many test simulations. Yes, smallpox eradication, mass literacy, and the Green Revolutio…
- LessWrongresearchAnthropomorphic vs Biological reasoning for thinking about human analogies for LLM behavior
TL;DR I try to distinguish between what I call ‘anthropomorphic’ vs ‘biological’ reasoning and look at different ways in which they are used. Note: This post is a small part of a larger set of ideas that makes more speci…
- TechCrunch AIchipsOpenAI might rebrand its data centers as ‘AI compute campuses’
Data centers are deeply unpopular. But what if we called them something else?
- TechCrunch AIcommunityAI can make tech CEOs’ lives easier. What about everyone else?
On Equity, we discuss why tech CEO statements can seem so tone deaf.
- Engadget AImodelsAnthropic updates Claude to stop it from recreating existing video games
Users can still lean on Claude to help with designing original or genre games.
- LessWrongsafetyTowards The Autograntor
I've done AI safety grantmaking for the Survival and Flourishing Fund and Lightcone Commons. It's hard. There's an endless amount to know, from which hardware verification mechanisms will survive a dedicated adversary, a…