AI news archive.
19,864 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchTS-MAMP: A Remanufactured Agricultural Robot with Second-Life EV Components and NMS-Free On-Device Weed Detection
arXiv:2608.02270v2 Announce Type: replace-cross Abstract: Agriculture 4.0 robotic systems improve field efficiency yet remain too capital-intensive for the fragmented smallholdings that dominate global agriculture. Meanw…
- arXiv cs.AIresearchWho Should Be Generated? Justifying Demographic Targets in Open-Ended Generation
arXiv:2608.02551v2 Announce Type: replace-cross Abstract: Fairness evaluation concerns not only what a model produces, but also what its outputs ought to be compared against. When a model generates "a CEO in the United S…
- arXiv cs.AIresearchOutput-Aware Rotation for INT2 KV-Cache Quantization
arXiv:2608.02691v4 Announce Type: replace-cross Abstract: The key-value (KV) cache has become a major memory and bandwidth bottleneck in long-context large language model inference, making ultra-low-bit quantization incr…
- arXiv cs.AIagentsBehavioral Skill Reconstruction: Reconstructing Hidden Functionality from LLM Agent Skills
arXiv:2608.04192v2 Announce Type: replace-cross Abstract: Closed source agent skills may encode proprietary instructions, scripts, constants, and data. Providers may offer their capabilities as services while keeping the…
- arXiv cs.AIresearchBALANCE: Hybrid Autoregressive-Speculative LLM Inference at the Network Edge
arXiv:2608.05926v2 Announce Type: replace-cross Abstract: Edge inference is a promising paradigm to provide large language model (LLM) inference services in next-generation mobile networks. LLM inference mainly relies on…
- arXiv cs.AIresearchFederated Learning for Distributed CNC Tool Wear Prediction
arXiv:2608.11281v3 Announce Type: replace-cross Abstract: Tool wear prediction is an important task in CNC machining, where accurate monitoring of tool condition supports product quality and process reliability. Machine…
- arXiv cs.AIresearchTerminal Symmetry as a Carrier of Asymmetric Process Knowledge: Statewise Refinement for Anytime Verified Construction
arXiv:2608.11318v5 Announce Type: replace-cross Abstract: Many sequential construction tasks have exact terminal symmetries even though execution is directed and depends on history. Process evidence supplies order. Termi…
- arXiv cs.AIresearchHalluTracer: Pre-Decoding Truthfulness Prediction via Depth-Averaged Probe-Logit
arXiv:2608.16353v2 Announce Type: replace-cross Abstract: Internal-state probes enable truthfulness prediction before a large language model generates an answer. When detectors change both the layers they read and the ru…
- arXiv cs.AIresearchCounting Documents Is Not Counting Text: Unit Bias in Web-PDF Corpus Statistics
arXiv:2608.16390v2 Announce Type: replace-cross Abstract: PDF corpora advertise their size in tokens, but every rate they publish (coverage, OCR routing, re-fetch recovery, language mix) is computed per document, and non…
- arXiv cs.AIresearchCan LLMs Reason in a Legally Meaningful Manner? A Small-scale Study on European Court of Human Rights Cases
arXiv:2608.17168v2 Announce Type: replace-cross Abstract: Reasoning has become a standard technique and feature for contemporary LLMs; however, its application and quality in the context of demanding legal-oriented tasks…
- arXiv cs.AIagentsRebuild Dossier: Mechanically-Enforced Specs for Agentic App Rebuilds, and What Model-Tier Failures Reveal
arXiv:2608.23616v4 Announce Type: replace-cross Abstract: An AI agent's rebuild is only as good as the process that produced it. Prior work found that once a model is strong enough, a multi-agent rebuild pipeline loses t…
- arXiv cs.AIresearchPACE: A Unified Condense-and-Extract Paradigm for Fast VLM Inference
arXiv:2608.27206v2 Announce Type: replace-cross Abstract: Vision-Language Models (VLMs) demonstrate exceptional visual reasoning capabilities, yet their inference costs escalate rapidly with the proliferation of visual t…
- arXiv cs.AIresearchCompared to What? A Human-Anchored Security Benchmark for LLM-Generated Infrastructure-as-Code
arXiv:2608.28021v2 Announce Type: replace-cross Abstract: Large language models increasingly author Infrastructure-as-Code (IaC), where one insecure default is provisioned straight into production. Prior evaluations repo…
- arXiv cs.AIresearchSingProbe Technical Report
arXiv:2608.30703v2 Announce Type: replace-cross Abstract: We present SingProbe, an open intrinsic guardrail framework for generation-time monitoring of LLMs. Intrinsic guardrails reuse hidden states already produced by t…
- arXiv cs.AIagentsRuntime-Independent Persistent Agents: Preserving Identity, Memory, and Code Across Models, Harnesses, and Servers
arXiv:2609.00546v2 Announce Type: replace-cross Abstract: Long-lived AI agents may replace their models, orchestration harnesses, interaction surfaces and hosts while retaining identity, memory and executable body lineag…
- arXiv cs.AIresearchToward Physically Grounded JEPA World Models for Goal-Conditioned Robotic Planning
arXiv:2609.03565v2 Announce Type: replace-cross Abstract: Action-conditioned JEPA world models enable planning toward visually specified goals without reconstructing future pixels, yet latent prediction alone does not ex…
- arXiv cs.AIresearchA Systematic Evaluation of Cross-Lingual Consistency Enhancement Methods in Multilingual Language Models
arXiv:2609.04409v2 Announce Type: replace-cross Abstract: Multilingual language models often produce inconsistent answers to semantically equivalent questions across languages, motivating methods to improve cross-lingual…
- arXiv cs.AIresearchA Roadmap for MEG Foundation Models
arXiv:2609.04461v2 Announce Type: replace-cross Abstract: Foundation models are beginning to reshape brain-signal analysis by moving the field beyond task-specific decoding pipelines toward reusable models pretrained on…
- arXiv cs.AIresearchVERPO: Verified Evidence Regularized Policy Optimization
arXiv:2609.06100v4 Announce Type: replace-cross Abstract: Verifiable rewards improve language models through reliable task-level feedback, but methods based on Group Relative Policy Optimization (GRPO) apply a sequence-l…
- arXiv cs.AIresearchMind the Gap: Exposing LLM Translation Blind Spots Using the AlphaMWE Multilingual Parallel Corpus
arXiv:2609.06634v2 Announce Type: replace-cross Abstract: LLMs' performance on machine translation (MT) tasks is often dependent on the data availability in the specific domains and language pairs that they are trained u…
- arXiv cs.AIagentsInput-to-State Stability Framework for Fully Distributed Primal-Dual Dynamics for Quadratic GNEPs Without Multiplier Consensus
arXiv:2609.06983v2 Announce Type: replace-cross Abstract: Generalized Nash Equilibrium Problems (GNEPs) often arise in multi-agent engineering applications that require distributed algorithms. Unlike traditional approach…
- arXiv cs.AIagentsEcdysis: Efficient and Effective Training of Runtime Harnesses for LLM Agents
arXiv:2609.11677v2 Announce Type: replace-cross Abstract: Self-evolving runtime harnesses can substantially improve the capabilities of large language model (LLM) agents and provide a promising paradigm for optimizing ag…
- arXiv cs.AIagentsOrganizational Principles Enable Collective Intelligence in Embodied AI
arXiv:2609.11737v2 Announce Type: replace-cross Abstract: Collective intelligence depends not only on the capabilities of individual members, but also on how those members are organized. Yet artificial multi-agent system…
- arXiv cs.AIresearchRoofLang: Enabling AI-Driven Architecting of LLM Inference Systems
arXiv:2609.12551v2 Announce Type: replace-cross Abstract: AI is beginning to make substantive contributions to LLM inference optimization. Existing AI optimizations are predominantly profiling-based. Profiling-bound feed…
- arXiv cs.AIagentsWhat is the Difference Between Me and You? Benchmarking the Quality Gap Between Human-Written and AI-Generated Code
arXiv:2609.12708v2 Announce Type: replace-cross Abstract: AI coding assistants are becoming co-authors of production software, yet their evaluation centers on functional correctness, leaving open whether their code diffe…
- arXiv cs.AIresearchA New Transformer-Based Approach for Audio-Based Kinship Verification and a New Uncontrolled Mandarin Kinship Speech Dataset
arXiv:2609.14145v2 Announce Type: replace-cross Abstract: Kinship verification is a task involving determining whether two individuals share a first-order kin relation. To tackle this task, we propose CONVTRAP-TN, a new…
- arXiv cs.AIresearchA Vision-Language Foundation Model for Precise and Comprehensive Brain Tumor Diagnosis from Preoperative Multimodal Data
arXiv:2609.16597v4 Announce Type: replace-cross Abstract: We developed BrainVLM to classify all 12 World Health Organization (WHO) 2021 brain tumor types. BrainVLM integrates an uncertainty quantification strategy to ind…
- arXiv cs.AIresearchBeyond Token-Local Imitation: Reward-Compatible Temporal Credit Assignment for On-Policy Distillation
arXiv:2609.16937v2 Announce Type: replace-cross Abstract: On-policy distillation (OPD) has emerged as an effective approach for large language model post-training, yet existing objectives face a trade-off between objecti…
- arXiv cs.AIresearchBeyond In-Distribution Metrics: A Systematic Out-of-Distribution Evaluation of Congenital Heart Disease Segmentation
arXiv:2609.17068v2 Announce Type: replace-cross Abstract: Congenital heart disease (CHD) diagnosis and surgical planning often require patient-specific 3D anatomical models, but manual segmentation is labor-intensive, pa…
- NVIDIA Developer BlogmodelsWhat’s New for Game Developers: DLSS 5 with 3D-Guided Neural Rendering, NVIDIA ACE Updates, and New RTX Kit Capabilities
NVIDIA DLSS 5 introduces DLSS 3D-Guided Neural Rendering and granular controls that help game developers add lifelike lighting and material detail while...
- SiliconANGLE AImodelsSpaceX launches Grok 4.7 with long-horizon processing, safety upgrades
SpaceX Corp. today introduced Grok 4.7, its most capable large language model to date. The Grok algorithm series was originally created by an Elon Musk-founded startup called xAI Corp. Musk merged the company with xAI In…
- LessWrongresearchAn opinionated primer on Causal Decision Theory (CDT) and Evidential Decision Theory (EDT)
The first half of this post is a neutral explanation of EDT and CDT. The second half defends EDT and argues against CDT. If you want to learn properly about EDT, you should read Arif Ahmed's Evidence, Decision, and Causa…
- LessWrongcommunityAcausal interactions: What they are, why they matter, and what to do about them
This is the first in a series of blog posts making the case for acausal interactions being both tremendously important and tractable to influence. This post states the series' main points and serves as an overview of the…
- Hugging Face BlogcommunityJun Kim, oMLX creator and maintainer, joins Hugging Face to support the MLX community
Open-source model releases, tooling, and community updates.
- Hugging Face Blogopen-sourceTransformers now runs llama.cpp quants
Open-source model releases, tooling, and community updates.
- Hugging Face BlogsafetyHow UK AISI and EvalEval Are Making Benchmark Results Reproducible
Open-source model releases, tooling, and community updates.
- OpenAI NewssafetyPriorities and principles for effective third party assessments
OpenAI outlines priorities and principles for rigorous, secure, and independent third-party AI safety assessments of frontier models and safeguards.
- Anthropic NewsroomsafetyExpanding the Cyber Verification Program
We’re launching a new, expanded version of our Cyber Verification Program, which makes advanced cyber capabilities and reduced blocking classifiers available to qualifying security professionals.
- LessWrongresearchStory Imprinting: AI Assistants Absorb Traits from Human Characters They Resemble
This is the abstract, introduction and discussion of our new paper . We also include an addendum on the connection to the Persona Selection Model. Section, appendix, and figure references refer to the full paper. Links:…
- TechCrunch AIcommunityThe man who built Apple’s stores doesn’t buy Silicon Valley’s bet on AI shopping
Apple Store architect Ron Johnson says Apple's secret sauce has always been its people.
- The Register AI + MLpolicyCalifornia tightens datacenter rules on water and power
Public pushback puts bit barn resource use under the microscope
- Guardian TechnologycommunityBlack Tesla employees accuse company of fostering racial discrimination in major trial
Lawyers say Black employees at Tesla experienced ‘rampant racism’ that was left unchecked for years at their flagship factory in California Dozens of Black employees at Tesla’s flagship plant in California said they were…
- Simon Willison's WeblogmodelsJev introduces a new shape of LLM - System One, aka Decision Models
Last week TypeSafe AI unveiled Jev , their first example of a new category of model that they are calling "System One models" (I'm with Maggie Appleton, I think "decision models" is a better name for these). Jev is an in…
- SiliconANGLE AIagentsAmazon blocks Meta’s Muse agent from shopping on users’ behalf
Amazon.com Inc. has blocked Meta Platforms Inc.’s Muse artificial intelligence agent from accessing its e-commerce marketplace. The cloud and online retail giant notified users of the move late Sunday. Meta made Muse ava…
- LessWrongresearchWhat if not Circuits?
This post was written as part of the Iliad Fellowship . Inspired by conversations with Richard Ngo, Dmitry Vaintrob, and Brianna Grado-White. To all of these, my thanks. Preface: I'm confused about how neural networks do…
- Simon Willison's WeblogcommunityCloudflare Python Workers are now generally available
Cloudflare Python Workers are now generally available After a two year preview, Cloudflare's support for running Python code in their server-side Workers platform is now stable: "Python is now a first-class, fully suppor…
- Ars Technica AIsafetyMuse, Meta’s extraordinarily privileged AI assistant, has a serious 0-day
A simple ClickFix attack is only one way to completely hijack the new agent.
- Latent SpacemodelsJev: System One models for Prod, not God — with Diogo Almeida, CEO, TypeSafe AI
The definitive Jev podcast with its lead creator.
- The Verge AIcommunityMeta Connect 2026 live blog: On the ground at Mark Zuckerberg’s next big product launch
It's time once again for Meta's annual September product launch event, and The Verge is on the ground in Menlo Park to cover the show live. Meta says that today's keynote by Mark Zuckerberg will be about how "Meta is bui…
- NVIDIA Developer BlogmodelsSimplifying Model Serving Across Multiple GPUs with NVIDIA TensorRT Multi-Device Integration in NVIDIA Dynamo-Triton
The compute and memory demands of generative AI increasingly exceed what a single GPU can provide. NVIDIA TensorRT multi-device inference is a new capability...