AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- arXiv cs.AIresearchWeight-Adjusted Gradients Reveal Parameter Importance and Failure Modes in LLMs
arXiv:2607.10803v2 Announce Type: replace-cross Abstract: Understanding which parameters are influential in Large Language Models (LLMs) is central to improving their efficiency, reliability, and interpretability. We int…
- arXiv cs.AIresearchA Safety-First Gateway Architecture for Trusted Public Health Resource Navigation
arXiv:2607.13038v2 Announce Type: replace-cross Abstract: Conversational AI can improve access to public health information, but public-facing healthcare applications require safeguards against inappropriate medical guid…
- arXiv cs.AIresearchDistilled Reinforcement Learning for LLM Post-training
arXiv:2607.17247v2 Announce Type: replace-cross Abstract: Large language model (LLM) post-training is essential for improving reasoning, adaptation, and alignment. Existing methods mainly follow two paradigms: reinforcem…
- arXiv cs.AIresearchLOCKS: Page-Local Compact Key Summaries for Efficient Long-Context Decoding
arXiv:2607.24555v3 Announce Type: replace-cross Abstract: Serving large language models at long context is bottlenecked by the key-value (KV) cache, which is read at every decode step. We find that attention keys are app…
- arXiv cs.AIresearchUnlocking Spatial Grounding in Large Audio-Visual Retrieval models
arXiv:2607.24786v2 Announce Type: replace-cross Abstract: Weak supervision sets a practical regime for audio-visual sound source localization as dense spatial annotations are costly to obtain at scale. The task, however,…
- arXiv cs.AIresearchWhisperRec: Latent Reasoning for Efficient Foundation Recommendation Models
arXiv:2607.26621v4 Announce Type: replace-cross Abstract: Large language models (LLMs) have demonstrated strong reasoning capabilities, motivating their adoption as backbones for foundation recommendation models (FRMs).…
- arXiv cs.AIagentsORCA-bench: How Ready Are Language Model Agents for Oncall?
arXiv:2607.28545v3 Announce Type: replace-cross Abstract: Large language models can write, patch, and search code, but oncall root cause analysis (RCA) demands something different: reasoning over noisy metrics, logs, tra…
- arXiv cs.AIresearchPAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball
arXiv:2607.28623v2 Announce Type: replace-cross Abstract: We present PAC-MAN, a perception-aware CBF-RL framework that couples control-barrier safety with deployment-realistic onboard sensing for whole-body humanoid dodg…
- arXiv cs.AIresearchTrustworthiness Costs of Domain Adaptation in Small Language Models:A Cross-Architecture Empirical Study
arXiv:2608.00042v2 Announce Type: replace-cross Abstract: Domain adaptation of small language models (SLMs) has emerged as a practical strategy for deploying capable NLP systems in resource-constrained, high-stakes envir…
- arXiv cs.AIagentsActive-SWE: Benchmarking Coding Agents for Proactive Bug Fixing without Issue Reports
arXiv:2608.04682v2 Announce Type: replace-cross Abstract: Coding agents powered by large language models (LLMs) are increasingly adopted in software engineering (SWE) scenarios, capable of fixing a specific bug in large-…
- arXiv cs.AIresearchSR-OPSD: Self-Referenced On-Policy Self-Distillation
arXiv:2608.09745v2 Announce Type: replace-cross Abstract: On-policy self-distillation (OPSD) converts feedback into dense token-level supervision on student-generated trajectories, complementing reinforcement learning wi…
- arXiv cs.AIagentsDon't Drop the BATON: Long-Horizon Robot Manipulation via Agentic Subtask Exploration and Transition-aware Memory
arXiv:2608.16889v3 Announce Type: replace-cross Abstract: Long-horizon robot manipulation chains many contact-rich skills into one multi-stage task. Vision-language-action (VLA) and world-action models (WAMs) increasingl…
- arXiv cs.AIresearchFunctional compatibility as a determinant of persistent neural learning
arXiv:2608.22462v3 Announce Type: replace-cross Abstract: Neural networks can acquire new capabilities while damaging existing ones, but what determines whether new learning persists remains unclear. We identify function…
- arXiv cs.AIresearchOn-policy Distillation with Verifiable Reward
arXiv:2608.24696v4 Announce Type: replace-cross Abstract: Reinforcement Learning with Verifiable Rewards (RLVR) and on-policy distillation (OPD) have become two widely adopted paradigms for post-training large language m…
- arXiv cs.AIresearchHomo-RAG: Homology-Guided Retrieval-Augmented Generation for Cross-Species Gene Function Prediction
arXiv:2608.25466v2 Announce Type: replace-cross Abstract: The functional annotation of genes in non-model organisms remains a significant challenge in computational biology, with 20-70% of sequenced genes lacking charact…
- arXiv cs.AIagentsTraceML: What Auto-Research Agents Miss in Long-Horizon ML Development
arXiv:2608.26086v3 Announce Type: replace-cross Abstract: Auto-research agents now run machine-learning development unattended for hours, revising data pipelines, models, and validation from their own feedback, yet on mo…
- arXiv cs.AIresearchPerformative Privacy: When Differential Privacy Maximizes Utility
arXiv:2608.28198v3 Announce Type: replace-cross Abstract: Privacy-preserving learning is often motivated by the idea that protecting users' data can preserve trust and thus participation, improving utility in the long te…
- arXiv cs.AIagentsThe reach of a verification tool decides its value: A controlled study of verification surface, artifact quality, and cost in AI coding agents
arXiv:2608.28795v2 Announce Type: replace-cross Abstract: Modern artificial-intelligence coding agents can be equipped with tools for checking their own work e.g. a linter, a boot probe, a shell, a screenshot tool. We ca…
- arXiv cs.AIresearchThe Illusion of Replacement: Rethinking Specialized Machine Learning Models in the Foundation Model Era
arXiv:2608.28980v3 Announce Type: replace-cross Abstract: Specialized machine learning architectures encode structural assumptions (equivariance, permutation invariance, relational structure) that language-based foundati…
- arXiv cs.AIresearchSimFuse3D: Source-Guided Target Simulation and Confidence-Guided Multi-Stage Localization Reweighting for Cross-Platform 3D Object Detection
arXiv:2609.04886v2 Announce Type: replace-cross Abstract: Changes in sensor height and viewpoint alter object-level point distributions, making cross-platform LiDAR unsupervised domain adaptation (UDA) difficult. Self-tr…
- arXiv cs.AIresearchOnline Surrogate Repair: Decoupling High-Fidelity Feedback from Search Length in Closed-Loop Discovery
arXiv:2609.07655v3 Announce Type: replace-cross Abstract: Closed-loop AI scientists can generate candidate designs at low marginal computational cost, whereas reliable feedback may require wet-lab synthesis, characteriza…
- arXiv cs.AIresearchKalman Delta Networks: Uncertainty-aware Associative Memory
arXiv:2609.07816v2 Announce Type: replace-cross Abstract: Linear attention enables efficient long-context inference by compressing token history into a fixed-size recurrent memory. This compression makes each update a tr…
- arXiv cs.AIresearchAcFlow: Controlling Text-to-Image Diffusion Transformers via Learned Conditional Activation Flow
arXiv:2609.10723v2 Announce Type: replace-cross Abstract: Text-to-image diffusion transformers (DiTs) are powerful generators, yet direct prompting provides limited control interface for style intensity and can fail to s…
- LessWrongmodelsGPT-6.1 Sol nearly matches the no-CoT performance of GPT-6 Astra
Summary I ran GPT-6 Sol and GPT-6.1 Sol on the task suite from Think Fast . Surprisingly, 6.1 Sol performs substantially better than 6 Sol, almost matching the performance of GPT-6 Astra. The plot below gives a quick ove…
- BBC TechnologystartupsThree takeaways from Trump's 'Super Intelligence' summit
The meeting at the White House came as some tech bosses and experts have called for tighter rules around AI.
- LessWrongresearchTristan Buckmaster Numberphile Interview Transcript
Tristian Buckmaster recently gave an interview with Brady Haran of Numberphile discussing what happened in the Navier-Stokes drama and some context about his research. I'm posting the transcript below for people who pref…
- The Register AI + MLpolicyTrump administration gets Big Tech to sign weak, non-binding, AI regulations
Also requires name change to 'Superintelligence'
- AI Stack ExchangemodelsFine-tune GPT-Neo with prompt and completion?
I'm new to AI and machine learning. To fine-tune GPT-3 , I understand that we need a set of training examples that each consist of a single input ("prompt") and its associated output ("completion"). I have prepared a dat…
- LessWrongagentsWill AI Agents Pay to Avoid Killing Animals?
This article was written by Jonah Woodward, and is a summary of an original study by Compassion Aligned Machine Learning (CaML) : Brazilek, J., Tidmarsh, M., Endres, M., Singh, A., & Miller, J. (2026). HarvestBench: Meas…
- AWS Machine Learning BlogchipsAmazon Bedrock expands Claude model availability to in-country inferencing in India
Anthropic's Claude Opus 5, Claude Sonnet 5, and Claude Haiku 4.5 are now available in India through Amazon Bedrock geographic cross-Region inference. You can access these models while processing data within the India Reg…
- AWS Machine Learning BlogchipsIntroducing Anthropic models on Amazon Bedrock for in-region inference in Seoul and Singapore
Amazon Bedrock now supports Anthropic's Claude Opus 5 and Claude Sonnet 5 with in-region inference in Seoul, and Claude Sonnet 5 in Singapore. If you have local data processing requirements in South Korea or Singapore, y…
- AI BusinessagentsWhile agents cause trouble, calls for AI regulation mount from Anthropic, lawmakers
It seems nearly everyone is calling for regulation. Chief among them is Anthropic, whose AI agents are also key troublemakers.
- LessWrongcommunityFrog and Toad and the Increasingly Capable Machines
Want to start a conversation about HuggingFace with your mom but she's inexplicably bouncing off the METR report? Try this explainer I wrote in the style of Arnold Lobel's Frog and Toad. Art by the wonderful HungerArtist…
- The Verge AIsafetySam Altman says OpenAI won’t go public until its models are safe
For months, people have wondered when OpenAI will go public. CEO Sam Altman says it won't happen until the company can make better promises about model safety, with no firm timeline in sight. "We intend to continue with…
- SiliconANGLE AIstartupsWorld model startup General Intuition closes $220M investment
General Intuition Inc. today announced that it has raised $220 million in funding at a $6.2 billion valuation. The capital was provided by Valor Equity Partners, Atreides, Seven Seven Six, Point72, Khosla Ventures and Ge…
- Hugging Face BlogresearchOpen TTS Leaderboard: Scalable Evaluation for Multilingual Text-to-Speech and Voice Cloning
Open-source model releases, tooling, and community updates.
- Apple Machine Learning ResearchresearchOn the Effectiveness-Fluency Trade-Off in LLM Conditioning: A Systematic Study
Controlling the output of Large Language Models (LLMs) is a central challenge for their reliable deployment, yet a clear understanding of the involved trade-offs remains elusive. Current approaches to conditioning are of…
- Apple Machine Learning ResearchagentsSCLATE: A Substrate for Continual-Learning Agent Training and Evaluation
Continual-learning agents are systems of models, harnesses, and memory operating over long multi-session horizons. Evaluating and training them requires interleaving tasks with agent-side events such as session stop and…
- SiliconANGLE AImodelsOpenAI’s GPT-6.1 Sol delivers Astra-like performance at a dramatically lower price
Just a day after OpenAI Group PBC said it’s unwilling to release its latest model GPT-6.1 Astra on concerns over its safety, it has released a newer, almost as powerful model called GPT-6.1 Sol, which promises to deliver…
- TechCrunch AIpolicyAmerica.gov gets really weird when you ask it about Minecraft, but it’s not a glitch
For the sake of national security, it's a relief to learn that America.gov is not hallucinating to the point that it's penning lengthy poetry.
- Guardian AIpolicyTrump AI deal rebrands ‘artificial intelligence’ as ‘superintelligence’
The US president announces vague ‘morally binding’ AI agreement among tech CEOs for ‘tremendous self-policing’ Donald Trump announced on Tuesday that the heads of the largest US tech and AI companies had signed a “morall…
- BBC TechnologysafetyChinese AI tool told researchers how to make bioweapons
Mindgard said it discovered in July that Kimi models K2.6 and K3 Swarm could evade developer's safety limits.
- BBC TechnologystartupsThe start-ups hoping to return battery making to the US
Batteries based on sodium-ion technology could be made in the US with locally sourced materials.
- LessWrongsafetyThe world's best gradual disempowerment model organism: Frontier AI labs
Subtitle: And maybe second best is AI safety? Further reading: So many things, but: Gradual Disempowerment , The Normalization of Deviance in AI Development , Let’s Think About Slowing Down AI , Doom as a bad method, not…
- SiliconANGLE AIstartupsEliseAI raises $350M to enhance its AI work automation suite
EliseAI, a startup that develops artificial intelligence tools for real-estate companies and healthcare providers, has raised $350 million in funding. Andreessen Horowitz and Bessemer jointly led the round. EliseAI said…
- SiliconANGLE AIagentsOpenAI launches Dots, always-on AI agents in ChatGPT with their own cloud computers
OpenAI Group PBC today used its DevDay developer conference to launch Dots, a set of always-on artificial intelligence agents in ChatGPT. The release is aimed at moving ChatGPT users beyond working one prompt at a time.…
- SiliconANGLE AIsafetyIn the AI era, identity evolves into the control plane for trust
Every major security shift ultimately comes down to one question: Who or what is allowed to do this? For most of the past two decades, the answer was a person with a username and password. In the artificial intelligence…
- The Verge AIpolicyTrump orders US government to call AI ‘Super Intelligence’
The US executive branch is no longer acknowledging the existence of "artificial intelligence." Going forward, official policy websites, policy documents, and press releases will refer only to "Super Intelligence," thanks…
- TechCrunch AIagentsThe internet is convinced Elon Musk’s xAI trolled OpenAI’s ‘Dots’ launch
Before OpenAI launched its new AI agent, Dots, on Tuesday, Elon Musk's xAI had already acquired the domain name "dot.com," which now redirects to the Grok chatbot download page.
- SiliconANGLE AIagentsEquals Money lets customers’ AI tools read data but not move money
Opening a Model Context Protocol server, or MCP server, to customers’ AI tools is becoming standard for fintech companies, but in payments a rogue agent does not just leak data — it moves money. That raises the bar for h…