AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- Engadget AImodelsAnthropic says Claude 'leads' 26 percent of its AI R&D work
The company shared the stat alongside three measurements that help communicate the pace of AI development.
- BBC TechnologysafetyWhy are there concerns AI could threaten humanity, and how real are they?
Existential fears about AI have once again reared their head - here's what you need to know.
- Guardian TechnologypolicyBig AI is trying to own the pathway to work. Universities shouldn’t play along | Ella Hafermalz
Universities need to protect their position in education so that students have an independent pathway to employment AI companies like OpenAI are insinuating themselves into the pathway from education to work. Soon they m…
- AI Stack ExchangeresearchAre AI alignment problems universally noncomputable?
Since it is in the news, I wanted to find out more about the AI alignment and suspected it is not Turing computable similar to the Halting problem. I was able to find a recent reference that claims to prove that AI inner…
- BBC TechnologysafetyUncontrolled AI could lead to 'silicon species' rivalling humans, warns Microsoft
Mustafa Suleyman says he believes rival AI firm Anthropic is in effect teaching Claude it "may be conscious".
- Ai2 BlogresearchWhat a crowdsourced game revealed about steering Olmo 3
A crowdsourced game built on Olmo 3 showed how people can exploit unexpected model behaviors to stress-test prosocial AI evaluations—and how open access to a model’s internals can help researchers understand why those te…
- Latent Spacecommunity[AINews] Reality Checks on AI News (Yegge shuts down Gas Town, Databricks’ +60% Astra cost)
A dash of cold water keeps the foomers away.
- TechCrunch AIstartupsIceland-based Treble raises $18 million for its voice simulation platform
Treble's voice simulation platform is used by voice AI model developers and AI wearable and robotics companies,
- Engadget AImodelsScammers have been inserting fake songs onto real artist's pages on Spotify and other platforms
A distribution loophole lets scammers collect royalties uploading fake songs to profiles for real bands.
- arXiv cs.AIresearchMaking AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
arXiv:2609.17631v2 Announce Type: replace Abstract: AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history describe different states. We develop Pub…
- arXiv cs.AIagentsEvolveTrade: Experience-Driven Policy Refinement for Self-Evolving LLM Trading Agents
arXiv:2609.17632v1 Announce Type: new Abstract: Large language model (LLM) trading agents can combine market data, news, and executable analysis, but their behavior is often controlled by static hand-written tool-use pol…
- arXiv cs.AIresearchOne Color Preprocessing Improves DSATUR
arXiv:2609.17633v1 Announce Type: new Abstract: The Graph Coloring Problem (GCP) is NP-hard and DSATUR stands as one of the fastest heuristics for it despite producing colorings that typically use more colors than state-…
- arXiv cs.AIresearchPhysics-Constrained Digital Twins for Sensor Integrity in Urban Pedestrian Flow: Detecting Stealthy False Data Injection with Conformal Guarantees
arXiv:2609.17635v1 Announce Type: new Abstract: City pedestrian counting systems now feed economic indicators, planning decisions and safety operations, yet the twins built on top of them treat the incoming stream as gro…
- arXiv cs.AIresearchWhat You Can't See Is Still What You Learn: A Preregistered Sixty-Society Confirmation That Evidence Masking Drives Compositional Generalization
arXiv:2609.17637v2 Announce Type: replace Abstract: Restricting what a module can read may improve what a system learns to compute. We test this in a preregistered confirmation with sixty four-cell systems sharing a froz…
- arXiv cs.AIagentsCapMem: A Benchmark for Caption-Based Episodic Memory in Egocentric Video
arXiv:2609.17688v1 Announce Type: new Abstract: Wearable assistants require episodic memory over egocentric video, yet current vision-language models face bounded frame budgets, growing visual-token costs, and long-conte…
- arXiv cs.AIagentsGraphEcho: Structural Redundancy and Evidence Provenance in LLM Graph Agents
arXiv:2609.17695v1 Announce Type: new Abstract: A large language model (LLM) agent can follow more graph paths without acquiring more independent evidence. GraphEcho tests whether agents mistake these repeated encounters…
- arXiv cs.AIresearchGVD: Governed Versioning and Deduplication for Document Repositories
arXiv:2609.17696v1 Announce Type: new Abstract: Document repositories evolve continuously. Guidelines and policies are revised, superseded, and re-uploaded, so the same content recurs in different wording and newer versi…
- arXiv cs.AIresearchNeMo Data Designer: An Extensible Framework for Multimodal Synthetic Data Generation
arXiv:2609.17699v1 Announce Type: new Abstract: We present NeMo Data Designer (NDD), an open-source, general-purpose framework for multi-modal synthetic data generation (SDG). Designed to be intuitive to use, NDD provide…
- arXiv cs.AIresearchA Systematic Evaluation of the COTQ Provincial Land Cover Product: Structural Consistency, Spectral Separability, and Relative Positioning Against ESA, ESRI, and Google Products
arXiv:2609.17731v1 Announce Type: new Abstract: High-resolution land use and land cover (LULC) products derived from Sentinel-2 imagery are widely used for environmental monitoring and land management, yet their performa…
- arXiv cs.AIagentsImitation Learning for Autonomous Driving in CARLA
arXiv:2609.17757v1 Announce Type: new Abstract: Behavioral cloning trains a policy offline on expert demonstrations, but deployment is closed loop: each action affects the observations the policy receives next. We study…
- arXiv cs.AIresearchSAGE: Governed Artifact Generation from Enterprise Guidelines
arXiv:2609.17775v1 Announce Type: new Abstract: Enterprise guideline documents mix narrative text, complex tables, and embedded images, and converting them into structured work artifacts still takes two to three days of…
- arXiv cs.AIagentsFairCompressAgent: An Agentic Framework for Fairness-Aware Model Compression for FPGA Deployment
arXiv:2609.17786v1 Announce Type: new Abstract: Fairness-aware model compression requires selecting methods and configurations that balance accuracy, fairness, and deployment cost. These decisions become more difficult w…
- arXiv cs.AIresearchA Four-Stage Decomposition of Word-Problem Solving and Mechanistic Fragility in LLM Math Reasoning
arXiv:2609.17804v1 Announce Type: new Abstract: Large language models solve grade-school math word problems with high accuracy, yet a single irrelevant clause inserted into the problem can collapse it. We reconcile these…
- arXiv cs.AIresearchLearning Heterogeneous Preferences
arXiv:2609.17847v1 Announce Type: new Abstract: Learning from human feedback has become a central paradigm for training modern AI systems, where models of human utility are used as reward models in policy learning. Exist…
- arXiv cs.AIresearchSNOMED CT Concept Recommendation from Masked Clinical Context
arXiv:2609.17855v1 Announce Type: new Abstract: Standardizing clinical language to SNOMED CT supports interoperability, analytics, and reusable phenotyping, but concept recommendation remains difficult when relevant conc…
- arXiv cs.AIresearchThe Inference Engineering Pareto Atlas: Which Optimizations Dominate the Cost, Quality, and Latency Frontier?
arXiv:2609.17863v1 Announce Type: new Abstract: LLM inference optimizations report speedups on different models, GPUs, prompts, and quality metrics, making them hard to compare or combine. We build a cost, quality, and l…
- arXiv cs.AIresearchDo Frontier Models Seek Safety Evidence Before Acting?
arXiv:2609.17865v1 Announce Type: new Abstract: Frontier models are often evaluated on how they respond to safety information once it is already in context. We study an earlier decision point: whether models choose to ac…
- arXiv cs.AIagentsERPBench: A State-Grounded Evaluation Paradigm for Computer-Use Agents in Enterprise Software
arXiv:2609.17885v2 Announce Type: replace Abstract: Computer-use agents that operate through screenshots and simulated actions are advancing rapidly, yet their evaluation remains anchored to general desktop and web tasks…
- arXiv cs.AIresearchOBC-Prune: Outcome-Based Calibration for Large Reasoning Model Pruning
arXiv:2609.17890v1 Announce Type: new Abstract: Large reasoning models (LRMs) generate long chain-of-thought traces before answering, creating significant inference overhead. Pruning can reduce this cost, but its effecti…
- arXiv cs.AIagentsCollaborative Memory for Multi-Agent VLM Systems
arXiv:2609.17921v2 Announce Type: replace Abstract: Vision-language model (VLM) agents combine specialized perception, tools, and reasoning to address complex visual tasks. In multi-agent settings, different agents inspe…
- arXiv cs.AIresearchMeasuring AI Leadership: Development and Validation of a Multidimensional Measure for AI-Native Organizations
arXiv:2609.17965v1 Announce Type: new Abstract: AI is changing what leaders must judge, explain, learn, and coordinate, yet existing measures do not capture these behaviors at the level needed to study leadership in AI-e…
- arXiv cs.AIresearchMemory Has Geometry: Non-Uniform Geometric Memory for Long-Horizon Personalized AI
arXiv:2609.17969v1 Announce Type: new Abstract: Long-term memory is becoming a core substrate for personalized AI, yet most systems still represent personalization as discrete records in a largely static latent space, ac…
- arXiv cs.AIagentsWhen to Call an LLM: A Confidence-Gated Hybrid for Cost-Effective Emotion Recognition in Conversational AI
arXiv:2609.17977v1 Announce Type: new Abstract: Emotion recognition in conversation (ERC) is a production capability behind agent-assist prompts, escalation routing, and post-call analytics in contact-center-as-a-service…
- arXiv cs.AIagentsContiguity, Not Importance: Budgeted Repair of Stale KV Caches After Document Edits
arXiv:2609.17983v1 Announce Type: new Abstract: KV-cache reuse can reduce inference cost in retrieval-augmented generation and agentic systems, but cached contexts may become stale when retrieved knowledge, working memor…
- arXiv cs.AIagentsTuiML: Machine Learning for AI Agents
arXiv:2609.17984v1 Announce Type: new Abstract: Machine-learning libraries such as Weka and scikit-learn were designed for human programmers. Language-model agents now use these same libraries by recalling APIs from memo…
- arXiv cs.AIagentsRideWay: Benchmarking Efficient Task Completion for Tool-Using Language Agents
arXiv:2609.17985v1 Announce Type: new Abstract: AI agents are usually evaluated by whether they complete a task. In interactive service settings, a successful agent can still frustrate users by asking repeated questions,…
- arXiv cs.AIresearchMultimodal Conditioning of Fine-Tuned Stable Diffusion XL for Controllable and Culturally Faithful Ulos Motif Generation
arXiv:2609.17987v1 Announce Type: new Abstract: The traditional Batak Ulos weaving industry faces growing challenges in producing diverse, innovative motifs due to limitations in conventional, manually driven design meth…
- arXiv cs.AIresearchMissing Bridges: Composition-Aware Active Imitation Learning
arXiv:2609.18004v1 Announce Type: new Abstract: Active imitation learning reduces expert effort by allowing a learner to request the demonstrations it needs. Existing methods typically select these requests for their exp…
- arXiv cs.AIresearchAnchoring What Matters: A Dual-Level Learning Framework for Visually-Grounded Multimodal Reasoning
arXiv:2609.18057v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) has significantly improved the reasoning capabilities of large vision-language models (LVLMs). However, standard on-po…
- arXiv cs.AIresearchThe Other Half of the Memory Wall: Serving 35B MoEs from SSD with Trained Routing Prediction
arXiv:2609.18063v2 Announce Type: replace Abstract: Mixture-of-experts (MoE) inference on consumer hardware is bounded by weight memory: a 35B-class model is 19.5GB at 4-bit, and sparsity shrinks the compute per token, n…
- arXiv cs.AIresearchTeaching AI, Robotics, & Community: A Hubs-Based K-12 Education Framework for Reaching Rural Schools
arXiv:2609.18072v1 Announce Type: new Abstract: K-12 robotics and AI education remains difficult to scale, especially in rural regions lacking sustained technical mentorship. Programs like FIRST provide competition pathw…
- arXiv cs.AIresearchDecodability is Not Causality: Dissociating Probe Readouts from Behavioral Drivers via SAE Decomposition
arXiv:2609.18080v1 Announce Type: new Abstract: Linear probes can decode safety-relevant concepts such as truthfulness from language-model activations, but probe accuracy may show only decodability, not that the features…
- arXiv cs.AIresearchWhen Is Graph Structure Worth Its Cost? The Case for Structure Pricing in Retrieval-Augmented Generation
arXiv:2609.18099v1 Announce Type: new Abstract: Graph-based retrieval-augmented generation (RAG) can help answer questions that require information from many documents. However, building a graph often requires many langu…
- arXiv cs.AIagentsAutoTuneBench: Trustworthy Measurement for Agent Auto-Tuning of LLM Serving Engines
arXiv:2609.18123v1 Announce Type: new Abstract: Large language model agents tune GPU kernels and serving engines through a closed loop of propose, measure, and keep, but the measurements behind this loop are not trustwor…
- arXiv cs.AIagentsDesigning Agentic AI Workflow Portfolios under Imperfect Selection and Compute Cost
arXiv:2609.18126v1 Announce Type: new Abstract: Agentic AI systems often approach the same task through multiple workflows that differ in reasoning strategy, verification structure, and compute cost. A natural deployment…
- arXiv cs.AIagentsSymbolic Temporal Supervision of LLM Agents Using Contracts
arXiv:2609.18128v1 Announce Type: new Abstract: Large language model (LLM) agents augmented by tools can automate complex, multi-step tasks, such as web navigation, code generation, and workflow orchestration, by acting…
- arXiv cs.AIresearchTime-Aligned Evolving Concept Graphs for Scientific Relation Forecasting
arXiv:2609.18163v1 Announce Type: new Abstract: Forecasting scientific relations can guide discovery by identifying promising connections before they emerge. Existing approaches often model concept semantics and graph st…
- arXiv cs.AIagentsWFM: Wiki Foundation Model for Complex Agentic Reasoning
arXiv:2609.18182v1 Announce Type: new Abstract: Real-world agents fundamentally require persistent non-parametric knowledge for dynamic reasoning, i.e., long-term memory and retrieval-augmented generation. While graphs h…
- arXiv cs.AIresearchRe2A: Situated Conversational Recommendation via Rubric-based Preference Reasoning and Alignment
arXiv:2609.18249v1 Announce Type: new Abstract: Real-world recommendation scenarios are commonly grounded in shared physical environments during user-recommender interactions. This motivates situated conversational recom…
- arXiv cs.AIresearchREPAIR: Resolving Long-Tail Confusion in Scientific Retrievers via Fact-Verified Iterative Refinement
arXiv:2609.18262v1 Announce Type: new Abstract: Precise retrieval of scientific information is fundamentally constrained by long-tailed concepts and high fact-sensitivity of scientific corpora. These challenges often lim…