AI news archive.
19,861 articles, newest first, from the outlets listed on the sources page.
- Latent Spaceopen-source[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
An open source “bomb” drops from China
- Latent Spaceopen-source[AINews] DeepSeek DeepInfer: Open Source SOTA Inference running 155T toks/day/cluster making $22m/day at ~80% margin for a 81 day payback
An open source “bomb” drops from China
- Tom's Guide AIcommunityWould you give up ChatGPT to stop AI data centers? Reddit's answer was brutal
Consumer AI launches, tools, and practical coverage.
- Latent SpaceagentsAI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Listen now (44 mins) | Paying for outcomes, building with agents, and the last mile of enterprise AI adoption
- Latent SpaceagentsAI for the Fortune 2000: How Tenex Builds an AI-Native SDLC — Alex Lieberman & CJ Hess
Paying for outcomes, building with agents, and the last mile of enterprise AI adoption
- Guardian Technologycommunity‘A difficult line’: meet the editors tackling Wikipedia’s arms trade pages
Volunteers and new recruits come together for ‘wikithon’ to put more detail about industry into public domain “Anyone can edit Wikipedia,” the adage goes. But, it turns out, a relatively small number actually do. What is…
- Guardian TechnologysafetyUK watchdogs urged to tackle suicide social media content after death of girl, 14
Adriana Retyte took her own life after viewing ‘high-risk’ material on the video-sharing platform TikTok A 14-year-old schoolgirl’s death after TikTok served her suicide content has prompted renewed calls for UK watchdog…
- OpenAI NewsresearchUsing thousands of AI agents to uncover new leads in biological data
See how OpenAI, PerturbAI, and Scripps Research used distributed AI agents to uncover promising research leads in data from millions of brain cells.
- BBC TechnologystartupsWhy is Elon Musk plotting a mega-merger of SpaceX and Tesla?
Musk says there's "a lot to be gained" by combining the firms in what would be the biggest merger in history.
- LessWrongsafetyDinners for AI Safety
I’d be pretty happy if we lived in a world where in every reasonably sized city in the US (and perhaps more widely) there was one (or more) local regular dinners where people talked about AI. Not meetup groups, though th…
- Google AI BlogresearchSoutheast Asia’s digital economy to hit $368 billion
Widespread AI adoption is propelling Southeast Asia's digital economy to a projected $368 billion in 2026 and $1 trillion by 2035.
- arXiv cs.AIagentsNavalia: Advancing Cowork Agents through Verifiable Task Synthesis and Long-Horizon Post-Training
arXiv:2610.26887v1 Announce Type: new Abstract: Large language model (LLM) agents are evolving from conversational assistants into Cowork Agents capable of autonomous planning, tool use, and complex task execution. Finan…
- arXiv cs.AIagentsLarge language model and reinforcement learning based autonomous construction and progress updates
arXiv:2610.26899v1 Announce Type: new Abstract: Due to the rapid growth of the global population, traditional construction methods are gradually unable to meet the current housing demand. The advancement of machine learn…
- arXiv cs.AIresearchPareto-Optimal RTL Code Generation via Multi-Objective Reinforcement Learning with Large Language Models
arXiv:2610.26904v1 Announce Type: new Abstract: Recent studies have proposed reinforcement learning with verifiable rewards (RLVR) methods that enable LLMs to generate high-quality RTL circuits from natural-language spec…
- arXiv cs.AIagentsMedPAO-Assist: Edge-Deployable, Modality-Aware Agentic AI for Radiology Report Structuring
arXiv:2610.26913v1 Announce Type: new Abstract: The adoption of Large Language Models for radiology report structuring has been largely dominated by either proprietary cloud-based models or large open models requiring hi…
- arXiv cs.AIagentsDataPraxis: Scaling Analytics Tasks via Verified Workspace Evolution
arXiv:2610.26924v2 Announce Type: replace Abstract: General-purpose agents are increasingly expected to perform professional analytics work, which requires sustained reasoning, iterative investigation, and reliable evide…
- arXiv cs.AIagentsIndustrial Agentic AI: LLM-Driven New-Generation Agents for Smart Manufacturing
arXiv:2610.26941v1 Announce Type: new Abstract: Large language models (LLMs) are enabling agents to move beyond predefined workflows toward autonomous planning and execution, creating new opportunities for smart manufact…
- arXiv cs.AIagentsFix, Not Just Resample: Bounded Compiler-Guided Repair in Lean 4
arXiv:2610.26942v1 Announce Type: new Abstract: Automated theorem provers often rely on sampling language models, but proof assistants like Lean reject each failed step with a precise error message --- information that p…
- arXiv cs.AIagentsMAMath-Bench: Process-Aware and Robust Evaluation of Multimodal Multi-Agent Mathematical Reasoning
arXiv:2610.26943v1 Announce Type: new Abstract: Mathematical reasoning is a fundamental capability for educational applications of Large Language Models (LLMs), where reliable problem solving requires not only correct an…
- arXiv cs.AIresearchLightCRS: Lightweight Multi-Domain Conversational Recommendation System
arXiv:2610.26948v1 Announce Type: new Abstract: Conversational recommender systems have recently adopted vision-language models to match user dialogue intents with multimodal product information. However, extending these…
- arXiv cs.AIresearchWhen Planning Problems Become Hard for LLMs: Separating Structural Complexity from Semantic Interpretability
arXiv:2610.26964v1 Announce Type: new Abstract: Large language models (LLMs) struggle with classical planning, but benchmarks rarely distinguish structural difficulty from the difficulty of interpreting symbolic vocabula…
- arXiv cs.AIagentsSPEM: Structure-Aware Procedural Memory for Efficient Skill Use in LLM Agents
arXiv:2610.26995v1 Announce Type: new Abstract: LLM-based agents increasingly rely on reusable skills. However, scaling skill libraries makes efficient and accurate skill use difficult. Full skill loading incurs high tok…
- arXiv cs.AIagentsDoes Multi-Agent Collaboration Reduce Hallucination in Clinical Tasks?
arXiv:2610.27027v1 Announce Type: new Abstract: Multi-agent LLM systems improve performance on clinical tasks, and that improvement is often read as evidence of a more trustworthy system. However, the two are not the sam…
- arXiv cs.AIagentsTeaching AI Agent to Play Poker Strategically Through Preference Optimization
arXiv:2610.27028v1 Announce Type: new Abstract: A poker agent can make a legal move and still make a strategically poor one. We ask whether compact AI agents can exhibit strategic behavior under hidden information and wh…
- arXiv cs.AIagentsM-Plan: Comprehensive Planning For LLM Agents with Memory Arrangement
arXiv:2610.27032v1 Announce Type: new Abstract: Large language model (LLM)-based agents have recently demonstrated outstanding performance in single-turn tasks, yet they continue to struggle with long-horizon tasks, part…
- arXiv cs.AIresearchPhysical AI: Concepts, Techniques, and Challenges
arXiv:2610.27045v1 Announce Type: new Abstract: In recent years, physical artificial intelligence (physical AI) has experienced rapid development, capturing significant attention in academia and industry. However, the fi…
- arXiv cs.AIagentsReuF2F: Benchmarking Coding Agents on Formalized Undergraduate Research Problems
arXiv:2610.27046v1 Announce Type: new Abstract: As AI systems begin to resolve open research problems, reliable verification becomes increasingly important. Formal mathematics provides a trusted framework for mathematica…
- arXiv cs.AIresearchA general-purpose System One decision model for clinical records
arXiv:2610.27099v1 Announce Type: new Abstract: Clinical care, health-system operations and biomedical discovery depend on extracting reliable answers from patient records, yet applying diverse clinical questions across…
- arXiv cs.AIresearchOmni-Woodpecker: Hallucination Correction via Evidence-Prior Rebalancing for Omni LLMs
arXiv:2610.27103v1 Announce Type: new Abstract: Recent Omni LLMs (OLLMs) have demonstrated remarkable capabilities in joint audio-visual reasoning, yet cross-modal hallucinations remain a major challenge. Existing mitiga…
- arXiv cs.AIagentsPROVISO: Provenance-Informed Action Selection for Secure LLM Agents
arXiv:2610.27115v1 Announce Type: new Abstract: LLM agents act on the external world through tools and third-party skills, so a single executed action can cause irreversible harm. Existing defenses judge a proposed actio…
- arXiv cs.AIagentsPORA: Learning When More Reasoning Pays Off for LLM Agents
arXiv:2610.27119v1 Announce Type: new Abstract: LLM agents perform tasks over multiple steps and revise their actions based on feedback. As the total reasoning budget is often limited and must support future steps, the a…
- arXiv cs.AIresearchEDMA: Entropy-Driven Multimodal Answering
arXiv:2610.27120v1 Announce Type: new Abstract: Multimodal question answering (MMQA) is based on integrating heterogeneous data sources, selectively leveraging relevant modalities, and ignoring distractors. Existing appr…
- arXiv cs.AIresearchMoSAIK: Motion Search with Artificial Intelligence in K-space
arXiv:2610.27156v1 Announce Type: new Abstract: Object: Motion artefacts remain a major limitation of routine two-dimensional T2-weighted turbo spin-echo (TSE) brain MRI, reducing diagnostic confidence and often necessit…
- arXiv cs.AIresearchLearned Control Variates for Rare Grid-Outage Estimation at Electric Vehicle Charging Stations
arXiv:2610.27159v1 Announce Type: new Abstract: Public charging of electric vehicles (EVs) adds a large and synchronized load to the distribution feeders. In most networks, it is rare to overload a feeder at the same tim…
- arXiv cs.AIresearchLSA-PAST: Layer-Specific Adaptation and Prototype Transport for Compositional Incremental Learning
arXiv:2610.27203v1 Announce Type: new Abstract: Class-Incremental Learning (CIL) enables models to recognize new classes over time while retaining prior knowledge, but many real-world problems are compositional, where vi…
- arXiv cs.AIresearchSparse RL Relaxation for LLM Reasoning
arXiv:2610.27220v1 Announce Type: new Abstract: Recent work has explored continuous representations in place of discrete tokens during Chain-of-Thought (CoT) reasoning, often referred to as soft CoT. This is motivated by…
- arXiv cs.AIagentsMagnolia: A Persistent-Memory Agent Framework for Computational Chemistry
arXiv:2610.27230v1 Announce Type: new Abstract: Chemistry has recently entered a high-data regime as molecular databases from high-throughput platforms or computational studies have become available. Increasing automatio…
- arXiv cs.AIagentsEGI-BENCH: An Enterprise General Intelligence Benchmark Suite
arXiv:2610.27234v1 Announce Type: new Abstract: Enterprise adoption of LLMs in agentic workflows is gated by evaluations that span a wide arc of abilities: CRM operations, heterogeneous-document retrieval, personal data…
- arXiv cs.AIresearchTxnQA: Benchmarking Analytical Reasoning and Evidence Grounding over Transaction Event Sequences
arXiv:2610.27256v1 Announce Type: new Abstract: Analyzing merchant transaction histories requires dynamic temporal filtering, entity resolution, and aggregation over irregular event streams--operations poorly captured by…
- arXiv cs.AIagentsA latent control model for realistic rodent motion
arXiv:2610.27279v1 Announce Type: new Abstract: The development of embodied models of animal behavior is a major goal of the neuro-AI community. Embodied models will enhance our ability to make direct comparisons between…
- arXiv cs.AIagentsTEX: Test-Time Scaling Testing Agents via Execution-based Cross-Validation
arXiv:2610.27290v1 Announce Type: new Abstract: Test-case generation is critical but remains challenging for language models. Existing test-time scaling methods either isolate candidates or aggregate traces, which do not…
- arXiv cs.AIagentsVulnerability Analysis for Safe Multi-Agent Reinforcement Learning
arXiv:2610.27293v2 Announce Type: replace Abstract: Safe Multi-Agent Reinforcement Learning (SMARL) aims to learn cooperative control policies under prescribed safety constraints. Al- though existing SMARL methods focus…
- arXiv cs.AIresearchStronger artificial intelligence breakthroughs hasten their own exhaustion
arXiv:2610.27296v1 Announce Type: new Abstract: Progress in artificial intelligence is widely assumed to scale with effort: more researchers, papers and investment should accelerate discovery. Theories of technological g…
- arXiv cs.AIresearchWhen Does an Added Planning Capability Create Operational Value? An Observable Evidence Standard
arXiv:2610.27305v1 Announce Type: new Abstract: Industrial artificial intelligence (AI) planning systems combine predictive models, optimization logic, controls, and governance rules, but improvement in the complete poli…
- arXiv cs.AIagentsEvolving Self-tuning Benchmarks for Long-Horizon Tool Use
arXiv:2610.27307v2 Announce Type: replace Abstract: For AI assistants to move beyond simple chat interfaces and reliably assist users with applications like Gmail, Venmo, and Slack, we need to improve their tool-use capa…
- arXiv cs.AIagentsUnsupervised Tool Evolution for Coding Agents in Data-Lake Analytics
arXiv:2610.27327v1 Announce Type: new Abstract: Coding agents can answer analytical questions over a data lake by discovering, cleaning, and joining the relevant data. However, they discard this work after each question…
- arXiv cs.AIresearchModeling Authentic Research Trajectories: A Graph View of Research Ideation
arXiv:2610.27337v1 Announce Type: new Abstract: The research idea in a published paper is rarely the project's initial idea. Between the two lies a closed-loop process in which researchers run experiments, derive insight…
- arXiv cs.AIagentsAn LLM-Based Agent for Legal Compliance Assessment: Architecture, Memory, and Evaluation in a Canadian and Quebec Context
arXiv:2610.27347v1 Announce Type: new Abstract: Checking whether a text complies with a body of law is slow when done by hand and fragile when done with keyword rules. This paper presents ComplianceAgent, the legal compl…
- arXiv cs.AIagentsREM: What to Store, When to Recall, What to Forget in Experience Memory for Coding Agents
arXiv:2610.27377v1 Announce Type: new Abstract: Large language model (LLM) agents now autonomously complete long-horizon tasks, such as repository-level coding, through hundreds of think-act steps, yet the experience eac…
- arXiv cs.AIresearchCorrecting Attribution Patching with a Few Exact Measurements
arXiv:2610.27393v1 Announce Type: new Abstract: Mechanistic interpretability asks which language model components matter for a behavior, and activation patching answers by changing one component's activation and measurin…