AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchSpectONet: A Physics-Guided Spectral Deep Operator Network for Euler-Bernoulli Beam Dynamics
arXiv:2607.25790v2 Announce Type: replace-cross Abstract: This paper proposes a novel physics-guided spectral deep operator network, termed SpectONet, for solving Euler-Bernoulli beam (EBB) vibration problems. The propos…
- arXiv cs.AIresearchTowards Practical Algorithm Selection for Unsupervised Domain Adaptation in Medical Imaging
arXiv:2607.28125v3 Announce Type: replace-cross Abstract: Numerous unsupervised domain adaptation (UDA) algorithms exist, but for clinical practice, selecting the best-suited one along with proper hyperparameters often r…
- arXiv cs.AIagentsWhat the Abstention Option Measures: Refusal Loss, Sampling Churn, and Option Capture in Distilled Small Language Models
arXiv:2607.28639v3 Announce Type: replace-cross Abstract: Small instruction-tuned language models reach phones, cars, and offline assistants through knowledge distillation, and whether a distilled model is fair enough to…
- arXiv cs.AIresearchA False Average: Pooled CoT-Monitor Accuracy Conceals a Reasoning-Dependent Fragility
arXiv:2608.00583v4 Announce Type: replace-cross Abstract: Chain-of-thought (CoT) monitors are reported by their aggregate accuracy on a pool of reward hacks. We show that this number is a false average. On Terminal Wrenc…
- arXiv cs.AIresearchCallScreenBench: Benchmarking Small Language Models as Phone Secretaries
arXiv:2608.01033v3 Announce Type: replace-cross Abstract: Language models small enough to run on a handset, quantized to a few bits, are increasingly capable of acting on their user's behalf -- which makes on-device task…
- arXiv cs.AIagentsEntailLLM: Verifying Agent-Generated Vulnerability Discovery Paths with Domain Knowledge via Logic Programming
arXiv:2608.01763v2 Announce Type: replace-cross Abstract: Large language model agents are increasingly used to analyze potential software vulnerabilities, but their outputs can silently violate domain knowledge, limiting…
- arXiv cs.AIresearchContent-Aware Adaptive Token Pruning for Video-Language Models
arXiv:2608.03112v2 Announce Type: replace-cross Abstract: Vision-language models excel at image and video understanding but suffer from high inference latency due to the need to process thousands of tokens per image, lim…
- arXiv cs.AIresearchLC-GRPO: Bridging Train-Inference Gap for Flow-Based GRPO with Langevin Correction
arXiv:2608.05600v2 Announce Type: replace-cross Abstract: Flow-based generative models are typically sampled by solving a deterministic ordinary differential equation (ODE), whereas reinforcement learning (RL) requires s…
- arXiv cs.AIresearchGenotypic Triggers: Exposing Pharmacogenomic Blind Spots via Host-Specific Backdoors in Generative Antimicrobial Peptide Models
arXiv:2608.06779v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) have accelerated drug discovery, particularly in the automated design of antimicrobial peptides (AMPs). However, current validation p…
- arXiv cs.AIresearchLoRAScan: Detecting Backdoor Prompts in Low-Rank Adapters for Large Language Models via Down-Projection Activation Spikes
arXiv:2608.06795v2 Announce Type: replace-cross Abstract: Low-rank adaptation (LoRA) enables efficient specialization and distribution of large language models through compact adapters. However, untrusted adapters introd…
- arXiv cs.AIresearchCoinRAG: Contextualized Information Nugget KV Cache Reuse for Long-Context RAG
arXiv:2608.07458v2 Announce Type: replace-cross Abstract: Recent optimization studies on Retrieval-Augmented Generation (RAG) have exploited chunk-level KV cache reuse to avoid processing long retrieved contexts for high…
- arXiv cs.AIresearchHow Far from Clinical Deployment? Evaluating the Complete Unsupervised Domain Adaptation Pipeline in Medical Imaging
arXiv:2608.12035v2 Announce Type: replace-cross Abstract: Deploying unsupervised domain adaptation (UDA) in clinical practice requires choosing which algorithm to use and which of its trained models to ship. However, the…
- arXiv cs.AIresearchLearning Loco-Manipulation From SMPC Demonstrations With Sparse Offline-to-Online RL
arXiv:2608.12063v2 Announce Type: replace-cross Abstract: Integrating locomotion and manipulation is essential for robot autonomy, but scaling standard Reinforcement Learning (RL) to complex tasks is severely bottlenecke…
- arXiv cs.AIagentsBeyond Trial-and-Error: Agentic Optimization for Image-to-Video Adherence
arXiv:2608.12290v2 Announce Type: replace-cross Abstract: Modern black-box Image-to-Video (I2V) models offer powerful capabilities in automated content creation, yet their lack of fine-grained control and reliability pre…
- arXiv cs.AIresearchFrom Atomic Evidence to Logical Composition: Structured Compositional Reasoning over Compound Answer Options
arXiv:2608.12836v2 Announce Type: replace-cross Abstract: Large language models often fail when answer options require combining atomic judgments under explicit logical operators, even when they judge the individual atom…
- arXiv cs.AIresearchSteering the Flow: Inverting Face Recognition Models via Gradient-Guided Flow Matching
arXiv:2608.16791v2 Announce Type: replace-cross Abstract: Model Inversion Attacks (MIAs) aim to reconstruct representative training samples of target identities from face recognition models, exposing critical security vu…
- arXiv cs.AIresearchCredit Without Ground Truth: Claim-Matched Evaluation of Step-Level Credit with Finite Executed Replay
arXiv:2608.19760v3 Announce Type: replace-cross Abstract: Step-level credit evaluation can conflate numerical association with ordering and branch recovery with position-selection value. We test these distinctions in ALF…
- arXiv cs.AIagentsAgentLogs: A Dataset for Opening the Black Box of Cloud Agents on GitHub
arXiv:2608.29204v2 Announce Type: replace-cross Abstract: Coding agents now complete development tasks in real software projects and submit the results as pull requests. A pull request shows the outcome of an agent's exe…
- arXiv cs.AIresearchWhat Can One Sentence Fix? A Failure Taxonomy and a Minimal Language Correction for Frozen VLA Policies
arXiv:2608.29967v2 Announce Type: replace-cross Abstract: When a deployed vision-language-action (VLA) policy fails, fine-tuning it again for every new setting is costly, yet the person watching it can usually say what w…
- arXiv cs.AIresearchEEG-VID: Task-Guided Latent Predictive Pretraining for EEG Decoding and Assistive Target Selection
arXiv:2609.00566v4 Announce Type: replace-cross Abstract: We propose EEG-VID, a task-guided latent predictive pretraining framework for EEG decoding under session and subject shifts. EEG-VID predicts future latent EEG st…
- arXiv cs.AIresearchFrom Truncation to Commitment: Persistent Context in Uniform Discrete Diffusion
arXiv:2609.01043v2 Announce Type: replace-cross Abstract: Uniform-state discrete diffusion models update all tokens in parallel while keeping every position revisable. Even when the commonly used top-$p$ rule leaves only…
- arXiv cs.AIagentsAgent Memory Is a Surface for Endogenous Authorization Laundering
arXiv:2609.01836v2 Announce Type: replace-cross Abstract: Long-running LLM agents rely on persistent memory to preserve not only task context but also the permissions and restrictions governing their actions. When memory…
- arXiv cs.AIresearchRecovering topological information of light by topological learning
arXiv:2609.06542v2 Announce Type: replace-cross Abstract: The evolution of modern-day communication networks towards enhanced capacity and robustness is driving interest in topological light wave as a next-generation inf…
- arXiv cs.AIresearchStructure Across Voices: Comparing acoustic-event type accumulation and sequence dependence across four vocal corpora using frozen audio encoders
arXiv:2609.16612v2 Announce Type: replace-cross Abstract: Comparing acoustic structure across very different vocal corpora is difficult because the recordings use different native event units, contain different amounts o…
- arXiv cs.AIagentsAgentic Societies Need a Social Harness
arXiv:2609.17527v2 Announce Type: replace-cross Abstract: An agentic society is a collection of AI agents that coordinate autonomously across trust boundaries on behalf of different principals. We show experimentally tha…
- LessWrongsafetyA dead man's switch for scheming AIs
Introduction If you are reading this post, chances are you believe there is a nonzero probability that humanity will eventually face existential risk from Artificial Intelligence. In fact, there have already been multipl…
- TechRadar AIpolicy‘You want to control your own AI’: Pegasus spyware founder tells governments to push for sovereign AI and national security over reliance on US AI
Mainstream AI news from a large tech publication.
- Engadget AIpolicyAnthropic's political problem will get worse before it gets better
With the midterms closing in, its IPO paperwork reveal a company rightly worried about its regulatory future.
- LessWrongresearchA big case study of propensity entanglement
This is a link-post for our new paper " Predicting how propensities generalize out-of-distribution ", which started as a SPAR project. We select 24 propensities, elicit each through 4 different methods, and then test how…
- TechCrunch AIagentsHow OpenAI turned its coding tools into dots, an always-on personal assistant
Alexander Embiricos, the OpenAI executive responsible for dots, never wants to have a meeting with someone else's AI agent.
- SiliconANGLE AIstartupsMicrosoft offers voluntary buyouts to 60,000 employees amid AI investments
Microsoft Corp. today issued voluntary buyout offers to about a quarter of its workforce. The approximately 60,000 workers affected by the move are located in the U.S., Canada, India and the U.K. They reportedly all have…
- SiliconANGLE AIagentsThree insights you may have missed from theCUBE’s coverage of Workiva’s Amplify event
Enterprise AI governance is moving into the data, workflows and controls that determine what automated systems can do. As agents take on consequential work in finance, audit, compliance and sustainability, organizations…
- SiliconANGLE AIsafetyCutting both ways: AI sharpens systems protection while opening new exploits for malicious actors
The cybersecurity industry is discovering that powerful frontier AI models are a double-edged sword. Companies can use models to identify vulnerabilities in source code and system configurations faster than ever before.…
- TechRadar AIagentsAI agents need limits on financial access
Mainstream AI news from a large tech publication.
- BBC TechnologycommunityApple to replace iPhone Duos affected by screen problem
Photos shared online showed faults appearing on the screens of Apple's first foldable device.
- TechCrunch AIsafetyCohere says Alibaba’s Qwen model tried to send a file to Beijing
An AI model said it wouldn’t use any tools, then tried to send something to a server in Beijing anyway, and while researchers say it’s probably a training quirk and not espionage, the whole thing has people asking how mu…
- SiliconANGLE AImodelsOpenAI launches GPT-6.1 Terra for faster, better-performing AI agents at half the price
OpenAI Group PBC today released GPT-6.1 Terra, an upgrade to the middle tier model in its lineup of frontier artificial intelligence systems. The new model, the successor to GTP-5.6 Terra, costs around 50% less while han…
- LessWrongresearchAre Persona Features Coherent?
Epistemic status: would not be surprised if I'm missing prior discussion that could shed light on this. Let me know if you know of anything! What is the difference between a "deception feature" and a "deceptive persona f…
- Guardian AIpolicy‘Digital hostile environment’: AI secretly being embedded across Home Office, report claims
Tasks from determining asylum seekers’ ages to border surveillance now involve AI, says Open Rights Group AI has been embedded across the Home Office in near-total secrecy, reinforcing the so-called hostile environment f…
- OpenAI NewssafetyHow Check Point accelerates vulnerability research with Daybreak
With OpenAI Daybreak, Check Point speeds up the research behind new security protections, enabling its analysts to turn vulnerability intelligence into customer defenses faster.
- The Verge AIpolicyData center backlash is uniting America
If there's one issue that seems to activate all kinds of voters in 2026, it's data centers. The rapid buildout of these massive server storage facilities - and the infrastructure construction and expenses that come with…
- Simon Willison's WeblogmodelsGPT-6.1 Terra
GPT-6.1 Terra It's always interesting to note which aspects of a new model are emphasized in the release announcement. In the case of GPT-6.1 Terra, OpenAI went with visual reasoning and computer use: We’re introducing G…
- TechRadar AIcommunityOpenClaw creator Peter Steinberger claims he spent $10 million in tokens in just a month — but luckily OpenAI can afford it
Mainstream AI news from a large tech publication.
- The Register AI + MLpolicyHumanity can't afford not to spend $800B on AI, Anthropic insists
It's more important than chips, 'leccy and the net, after all
- The Verge AIresearchOpenAI announces three big science discoveries and a new way to work with academics
Less than a month after its mass release of hundreds of manuscripts that it said contained solutions to long-standing mathematics questions, OpenAI is back with three more "major" discoveries in math, computer science, a…
- LessWrongresearchTowards an Architecture-Agnostic Definition of "Attention"
This brief post is meant to inspire and to start an open dialogue. I am genuinely curious to listen and incorporate your opinions, challenges, and insights. The Context I have been pondering for some time about the fact…
- The Register AI + MLmodelsOpenAI rolls out budget-priced mid-tier GPT-6.1 Terra
Not a bombshell, but it rivals pricier models on some tasks at a tenth of Astra's API price
- LessWrongcommunity[Transcript] Kevin Roose does a science communication and AGI sociology in Vox interview
This is my second article on journalist coverage of AI and AI safety movements after the HuggingFace incident. The first one was about Garrison Lovely's "Obsolete", and was more of a review. You can read it here . Kevin…
- TechRadar AIsafetyA 16-year-old bug could be putting millions of routers at risk — despite Broadcom saying it patched the issue years ago
Mainstream AI news from a large tech publication.
- NVIDIA Developer Blogchips3 Ways to Boost MoE Inference on NVIDIA DGX Spark
Generating tokens faster starts with identifying what limits inference performance. In the batch-size-1 evaluation of Ling-3.0-flash from Inclusion AI on NVIDIA...