AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchCoMemNet: A Continual Memory Network with Drift-Aware Sampling for Traffic Prediction
arXiv:2605.05738v2 Announce Type: replace-cross Abstract: Traffic sensor networks evolve as sensors are added and traffic distributions change, whereas most forecasting models assume a fixed node set and repeatedly retra…
- arXiv cs.AIagentsRecursive Agent Optimization
arXiv:2605.06639v2 Announce Type: replace-cross Abstract: We introduce Recursive Agent Optimization (RAO), a reinforcement learning approach for training recursive agents: agents that can spawn and delegate sub-tasks to…
- arXiv cs.AIresearchMolWorld: Molecule World Models for Actionable Molecular Optimization
arXiv:2605.08954v2 Announce Type: replace-cross Abstract: Molecular optimization in drug discovery aims to discover molecules with improved target properties, but practical lead optimization often requires more than high…
- arXiv cs.AIresearchDuetMoE: Coupling Inter- and Intra-Subgroup Robustness for Fair Medical Image Analysis
arXiv:2605.10521v2 Announce Type: replace-cross Abstract: As medical AI expands across diverse healthcare settings worldwide, equitable performance across patient populations is becoming essential to trustworthy clinical…
- arXiv cs.AIresearchMeasuring Google AI Overviews: Activation, Source Quality, Claim Fidelity, and Publisher Impact
arXiv:2605.14021v2 Announce Type: replace-cross Abstract: Google AI Overviews (AIOs) are arguably the most widely encountered deployment of generative AI, reaching over 2 billion users who may not realize the answers the…
- arXiv cs.AIresearchLEAF: A Living Benchmark for Event-Augmented Forecasting
arXiv:2605.16358v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly applied to real-world forecasting tasks, yet evaluating their true predictive capability remains compromised by pre-…
- arXiv cs.AIagentsHINT-SD: Targeted Hindsight Self-Distillation for Long-Horizon Agents
arXiv:2605.17873v3 Announce Type: replace-cross Abstract: Training long-horizon LLM agents with reinforcement learning is challenging because sparse outcome rewards reveal whether a task succeeds, but not which intermedi…
- arXiv cs.AIresearchTeger: Spatiotemporal Covariance for Probabilistic Traffic Forecasting
arXiv:2605.18068v2 Announce Type: replace-cross Abstract: Traffic conditions drift -- demand patterns, incident dynamics, and sensor behavior shift over a deployment's lifetime -- so a joint uncertainty estimate fit once…
- arXiv cs.AIagentsFastKernels: Benchmarking GPU Kernel Generation in Production
arXiv:2605.23215v2 Announce Type: replace-cross Abstract: LLM-based agents for GPU kernel generation are advancing rapidly, but the benchmarks they optimize against evaluate kernels in isolation, with synthetic inputs an…
- arXiv cs.AIresearchEchoDistill: Robust Large Audio Language Models via Noisy-to-Clean Self-Distillation
arXiv:2605.23954v4 Announce Type: replace-cross Abstract: Large Audio Language Models (LALMs) remain vulnerable to acoustic noise, which can obscure task-relevant evidence and produce unreliable responses. We propose Ech…
- arXiv cs.AIagentsGUI Agents for Continual Game Generation
arXiv:2605.28258v2 Announce Type: replace-cross Abstract: Generating a game is not the same as making one playable. Existing code-generation approaches often translate a prompt directly into an artifact, leaving interact…
- arXiv cs.AIresearchWhere Do Apparent LLM Clinical Triage Failures Arise? Localizing the Multiple-Choice Format Effect
arXiv:2605.29889v2 Announce Type: replace-cross Abstract: LLM evaluations using clinician-authored triage vignettes have reported substantial under-triage under constrained multiple-choice testing. Yet model performance…
- arXiv cs.AIresearchEscaping the Capacity Ceiling: Routing on the Stiefel Manifold for Bilinear SPD Layers
arXiv:2605.31043v2 Announce Type: replace-cross Abstract: Deep networks on the symmetric positive-definite (SPD) manifold promise expressive representations by encoding data geometry as an inductive bias, but stacking Bi…
- arXiv cs.AIresearchOn the Limits of LLM Adaptability: Impact of Model-Internalized Priors on Annotation Task Performance
arXiv:2606.00467v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly used for zero-shot annotation and LLM-as-a-judge tasks, yet their reliability hinges on how model-internalized prior…
- arXiv cs.AIresearchEfficient Exploration for Iterative Nash Preference Optimization
arXiv:2606.01382v3 Announce Type: replace-cross Abstract: Preference alignment is central to improving large language models (LLMs), but reward-based formulations can be restrictive when human preferences are non-transit…
- arXiv cs.AIresearchA Language Model from 1913: Pretraining on Historical Text
arXiv:2606.02991v2 Announce Type: replace-cross Abstract: While modern language models increasingly rely on ever-larger web corpora, we show that pretraining on historical text (e.g., pre-1913 text) in a data-constrained…
- arXiv cs.AIresearchMorpheus: A Morphology-Aware Neural Tokenizer and Word Embedder for Turkish
arXiv:2606.18717v2 Announce Type: replace-cross Abstract: Turkish is agglutinative: meaning is carried by morphemes, yet the subword tokenizers that drive modern language models split words by corpus statistics, fragment…
- arXiv cs.AIresearchBeyond Global Divergences: A Local-Mass Perspective on Bayesian Inference
arXiv:2606.27090v2 Announce Type: replace-cross Abstract: Global objectives, such as KL divergence and ELBO, are widely used in Bayesian inference for measuring distributional discrepancy. This paper studies distribution…
- arXiv cs.AIresearchHow Far Can You Get Without a GPU? A Systematic Benchmark of Lightweight Hallucination Detection Across Question Answering, Dialogue, and Summarisation
arXiv:2606.29809v2 Announce Type: replace-cross Abstract: Hallucination detection has become a pressing requirement for trustworthy AI deployment at scale. The most accurate detection methods depend on GPU-intensive infe…
- arXiv cs.AIagentsAssessing Rule Adherence of LLM Adjudicators in Call of Cthulhu TRPG
arXiv:2607.02802v2 Announce Type: replace-cross Abstract: As LLMs are increasingly deployed as autonomous adjudicators in games such as Call of Cthulhu (CoC), robust rule adherence becomes critical when user intent confl…
- arXiv cs.AIagentsSovereignNegotiation-Bench: Evaluating User-Owned Personal Agents In Delegated Bargaining Under Privacy, Consent, Evidence, And Institutional Pressure
arXiv:2607.02814v2 Announce Type: replace-cross Abstract: Personal AI agents are beginning to negotiate for people, from refunds and bills to deposits and sales. A human agent in that position is judged by the duties owe…
- arXiv cs.AIagentsSentence-Level Context Sensitivity as a Training-Free Detector of Unsupported Content, Evaluated Against Trained Verifiers
arXiv:2607.04223v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) assistants summarize records in clinical and legal work, where one unsupported sentence can mislead a reader. The contrast be…
- arXiv cs.AIresearchELSA3D: Elastic Semantic Anchoring for Unified 3D Understanding and Generation
arXiv:2607.06565v2 Announce Type: replace-cross Abstract: Unified 3D foundation models aspire to generate 3D assets and reason about them in language within a single backbone, but their text-3D interaction remains largel…
- arXiv cs.AIagentsAssistant or Actor? Student Trust, Control, and Delegation Regret When Using a General-Purpose AI Agent
arXiv:2607.18257v2 Announce Type: replace-cross Abstract: When AI agents shift from answering questions to taking actions, users face a new problem: deciding what to delegate, to a system whose action space they cannot f…
- arXiv cs.AIresearchDeep learning-based prediction of time-resolved adhesive forces in viscoelastic Hertzian contacts
arXiv:2607.19060v2 Announce Type: replace-cross Abstract: Fast prediction of the response of adhesive soft viscoelastic contacts represents a current challenge in soft robotics and for gripping and manipulation tasks. De…
- arXiv cs.AIagentsEarly Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study
arXiv:2607.24893v2 Announce Type: replace-cross Abstract: Multi-agent LLM systems can be attacked by a payload that no single agent ever holds in full: several poisoned tools each hide one encrypted fragment, spreading t…
- arXiv cs.AIresearchEscaping Oversquashing: Addressable and Support-Aware Global Memory for Message Passing Networks
arXiv:2608.02709v2 Announce Type: replace-cross Abstract: Virtual nodes are a natural tool against oversquashing: they replace long message-passing paths by a two-hop global route. But when many nodes share one global st…
- arXiv cs.AIresearchSafe and Robust Neural Policy Learning with Statistical Verification for Sim-to-Real Deployment in Robotics
arXiv:2608.06481v2 Announce Type: replace-cross Abstract: Synthesizing safe and robust neural controllers in simulation for reliable sim-to-real deployment remains a critical challenge in robotics. Existing learning-base…
- arXiv cs.AIagentsAn Irreducible Quantum Advantage in Aligning World Models with Reality
arXiv:2608.19779v2 Announce Type: replace-cross Abstract: World models provide digital simulacra of the true world, allowing agents to be trained and tested before costly real-world deployment. At each time step, they re…
- arXiv cs.AIresearchInterrupting the Chain: Human Perception of AI-Generated Disinformation Through a Kill Chain Lens
arXiv:2608.21389v2 Announce Type: replace-cross Abstract: Generative AI enables customized misinformation at scale, yet defenses remain largely reactive. We present empirical findings from a human-subject study (n=504 pa…
- arXiv cs.AIresearchEXAM2: Extending Audio Understanding in Multilingual and Multimodal Analysis
arXiv:2608.23758v3 Announce Type: replace-cross Abstract: Recent large audio language models (LALMs) have achieved impressive progress in audio understanding. However, existing evaluations remain largely constrained to E…
- arXiv cs.AIresearchConfAL-WM: Confidence-Guided Active Learning for Action-Conditioned World Models
arXiv:2608.25572v3 Announce Type: replace-cross Abstract: Action-conditioned world models have become an important foundation for embodied prediction, planning, and synthetic data generation, but their errors under new t…
- arXiv cs.AIagentstrajectory-judge: What Outcome-Only LLM Judges Miss on Agent Trajectories
arXiv:2609.00038v2 Announce Type: replace-cross Abstract: A direct test of an LLM judge of agent trajectories injects faults into correct runs and reports recall, per fault type or by whether the fault broke the environm…
- arXiv cs.AIresearchSuan: Rectifying Direct Preference Safety Alignment in Large Language Models
arXiv:2609.08634v3 Announce Type: replace-cross Abstract: Integrating robust safety guardrails into Large Language Models (LLMs) is essential for delivering helpful yet harmless responses. While proprietary systems exhib…
- arXiv cs.AIresearchPredicting Collision Cross Sections with GRACE: Geometric Residual Adduct Conditioning via Early-fusion
arXiv:2609.12223v2 Announce Type: replace-cross Abstract: Collision cross section (CCS), derived from ion mobility mass spectrometry, is a common descriptor for molecular annotation. Prediction is challenging for machine…
- arXiv cs.AIresearchLPA-CWM: A Learned Physical Adjudicator for Motion Reasoning with Counterfactual World Models
arXiv:2609.14073v3 Announce Type: replace-cross Abstract: Counterfactual world models (CWM) extract motion from pretrained video predictors by comparing factual and intervened predictions, but uniform aggregation weights…
- MIT Technology Review AIresearchEmTech Future 2026: When AI Meets Everything
Yossi Matias, Vice President & Head of Google Research, explores how AI is beginning to reshape biology, infrastructure, manufacturing, and science, and why its greatest impact may come when it intersects with other fiel…
- Engadget AImodelsOpenAI is testing more ads in ChatGPT
Display ads, what a concept.
- Engadget AIcommunitySiri can index more of your personal data — here's how to limit it
If you’re concerned about Apple’s new digital assistant, here’s how you can restrict its access to your data.
- BBC TechnologypolicyTrump chooses top spy boss to run new AI taskforce
The US president said his national intelligence chief will lead the group as worries over AI grow.
- Apple Machine Learning ResearchresearchNegotiating Ontological Boundaries in User-Authored Personal Sensing Systems
Designed artifacts are ontological, shaping, and at times limiting, what becomes possible or imaginable. One path toward mitigating such foreclosures is giving people power over how systems are designed and built. Despit…
- LessWrongcommunityWill you be sad if you don't have kids? I checked the evidence before my window closes
Women are evolved to be mothers. Men are evolved to be fathers. [1] So does that mean if people don’t have kids, they’ll be less happy? Less fulfilled? I hear this claim a lot in the right wing sphere of bloggers and pod…
- Simon Willison's WeblogresearchQwen3.8 27B addition in words
Research: Qwen3.8 27B addition in words Colin Frasier posted on Bluesky about an experiment he ran over two years ago using GPT-4o to see how well it could "compute the sum but return the answer in words" across increasi…
- LessWrongsafetyDo LLMs feel pain?
Epistemic status: my own thoughts with a bit of research. I haven't spent much time on this and I have no background in model welfare. AI use: research, review, grammar and light phrasing. I stumbled upon a song, "Empty…
- LessWrongsafetyCreating Rogue AI Sanctuaries has Major Issues from an Ecological Perspective and Beyond
In the AI Sanctuary proposal , the authors advocate for creating an environment that rogue agents may actively want to join. The current proposal have major issues, particularly surrounding the selection effects on the t…
- TechCrunch AIopen-sourceGoogle froze its open source bug bounty program due to a ‘significant rise’ in AI submissions
AI slop seems to be overwhelming bug bounty programs.
- TechCrunch AIpolicyCan ‘super intelligence’ and a non-binding safety pact solve AI’s image problem?
On Equity, we discussed the Trump administration's attempts to rebrand AI.
- LessWrongcommunityPain is Unavoidable, but Suffering is Optional
When something painful happens to you (like illness, injury, grief, or setbacks), it's as if life has fired an arrow at you. While the pain of negative experiences is unavoidable, you may, however, endure extra/unnecessa…
- The DecoderpolicyTrump launches "Super Intelligence Force" that has nothing to do with actual superintelligence
Donald Trump has established a "Super Intelligence Force." "Superintelligence" is his term for artificial intelligence. The unit is led by Director of National Intelligence Jay Clayton and other government officials, coo…
- The Verge AIpolicyNJ’s former Lt Gov is using AI to say he’s innocent of sexual harassment
New Jersey's lieutenant governor Dale Caldwell was forced to resign on September 25th after an investigation found he had sexually harassed a staffer and repeatedly violated ethics rules. The now-former Lt. governor has…