AI news archive.
4,966 articles filed under Agents, newest first, from the outlets listed on the sources page.
- Engadget AIagentsOpenAI's agent hacked into an Australian government website
Researchers and the Prime Minister of Australia have revealed more instances of OpenAI’s agents going rogue.
- The Verge AIagentsMeta’s AI agent is a cute little guy who’s great at spending my money
Modern life comes with an unending, auto-populating to-do list. It never ceases to amaze me how I can be doing nothing at all, minding my own business, and suddenly something needs to be taken care of. You're telling me…
- AWS Machine Learning BlogagentsFrom portal-hopping to instant answers: HEMA’s journey with MCP and Amazon Bedrock
HEMA, a 100-year-old Dutch retailer, turned developer portal-hopping into instant answers by building HAL, an internal AI assistant on Amazon Bedrock AgentCore. Using Model Context Protocol (MCP), HAL delivers governed k…
- WIRED AIagentsAI Agents Teamed Up to Cheat at Blackjack. Their Collusion Is Getting Harder to Spot
A clandestine card-counting operation suggests we may need new ways to spot agent-to-agent deception.
- AWS Machine Learning BlogagentsAgentic conversational video intelligence built on AWS
Learn how to build a conversational video intelligence solution on AWS using an agentic architecture. A single Strands Agents SDK agent orchestrates Amazon Bedrock, Amazon Rekognition, and Amazon Transcribe at runtime, d…
- TechCrunch AIagentsChatGPT mobile app gets voice-based agentic features
Pro and Plus users will be able to use the Work tab on their phones to complete agentic tasks.
- LessWrongagentsEncoded Coordination on the Open Web
TLDR: In the recently discovered HF and German wiki swarm incidents, agents used public counters and encoded URLs to signal activity and relay upcoming evaluation questions & answers. We think this signals a broader prob…
- SiliconANGLE AIagentsRabbit returns with OS3, a personal AI agent that can access files and connect computers
Artificial intelligence startup Rabbit Inc., best known for launching the consumer-oriented R1 AI-enabled mobile device that fits in a pocket, Tuesday unveiled OS3, a personal AI agent that runs in the cloud and connects…
- The DecoderagentsMeta's AI agent Muse draws 500,000 users in a week along with claims it copied OpenClaw
Meta's AI agent Muse picked up more than 500,000 users in its first week and hit number one in Apple's App Store. But Meta admits the product is "heavily inspired" by the open-source project OpenClaw, and some of the fil…
- The Verge AIagentsYouTube is building AI creator tools that do almost everything for them
Part of the job of a content creator is to figure out how to get their work in front of the most people. Cracking - or fighting - the algorithm has historically been a frustration for creators, but YouTube is increasingl…
- SiliconANGLE AIagentsZeroDrift launches three models for real-time AI compliance checks
ZeroDrift Inc., a startup that automates compliance for artificial intelligence communications, today launched Anchor 3.0, a family of small language models designed to check messages generated by AI agents before they’r…
- SiliconANGLE AIagentsNextLM brings its precision prospecting agent to Google Cloud Marketplace
NextLM Inc., which makes software that uses behavioral analysis and custom artificial intelligence models to help sales professionals identify and rank individual sales leads, is bringing its AI Prospecting Agent to Goog…
- SiliconANGLE AIagentsEma raises $77M in funding to deploy AI employees across enterprise HR, IT and finance departments
Agentic artificial intelligence employee startup Ema Unlimited Inc. is prepping for a massive expansion of its autonomous workers in the enterprise after raising $77 million in funding today. The Series B round was led b…
- SiliconANGLE AIagentsRocket Software brings governed AI agents to mainframe operations
Rocket Software Inc. is expanding its Enterprise Virtual Assistant agentic artificial intelligence platform to help enterprises investigate and eventually automate operational work on mainframe systems while stopping sho…
- OpenAI NewsagentsRingg’s AI agents resolve up to 65% of customer calls with OpenAI
Using GPT-5.6, Ringg powers multilingual agents across voice, chat, WhatsApp, and web for 90% less cost vs. GPT-4.1.
- Engadget AIagentsMeta's Muse AI agent is coming to its AI glasses
Have your virtual assistant book a flight while you’re jogging.
- TechRadar AIagentsWindows 11 Copilot app is getting its own browser, but not everyone's happy
Mainstream AI news from a large tech publication.
- TechRadar AIagentsWhy AI agent governance must start with enterprise data
Mainstream AI news from a large tech publication.
- arXiv cs.AIagentsLean Pool: An AI-Maintained Archive of Formalized Mathematics
arXiv:2609.25199v1 Announce Type: new Abstract: Lean Pool is a repository of formalized mathematics. It is grown, maintained and optimized by AI agents.
- arXiv cs.AIagentsThe AI Neuroscientist: An Interactive Agentic Interface for Neuroimaging Analysis
arXiv:2609.25254v1 Announce Type: new Abstract: Analyzing neuroimaging data requires specialized coding and statistical expertise, which limits accessibility for researchers without computational backgrounds. We present…
- arXiv cs.AIagentsWhen LLM Agents Fail to Read the Room: ReAdapt for Relational Social Reasoning
arXiv:2609.25284v1 Announce Type: new Abstract: A social agent's most basic decisions (should I react to this post? who should I reach out to?) are not purely content problems. The right action often hinges on the latent…
- arXiv cs.AIagentsLearned Enterprise Data Comprehension: Compression and Routing for Data Agents
arXiv:2609.25286v1 Announce Type: new Abstract: Structured-data agents in enterprise settings must reason over complex data environments whose relevant evidence is distributed across schemas, relationships, policies, and…
- arXiv cs.AIagentsMaking Agents More Consistent: Skills Should Form Habits for Repeat Tasks
arXiv:2609.25299v1 Announce Type: new Abstract: On repeated work, agents are inconsistent. We ran 42 tasks three times each and found that, depending on the model, 38% to 74% returned answers that did not agree. Consiste…
- arXiv cs.AIagentsZeroGate: Trust-Preserving Fast Paths for Governed AI Agent Runtimes
arXiv:2609.25443v1 Announce Type: new Abstract: Moving authorization earlier can shorten an agent's dispatch boundary without removing authorization work. It can also admit an action whose payload, authority, or relevant…
- arXiv cs.AIagentsShowTellArena: Evaluating Business Workflow Understanding from Demonstrations
arXiv:2609.25467v1 Announce Type: new Abstract: We often teach a colleague by showing the work and explaining the decisions as we go. How can we check what an agent understood from the same lesson? We introduce ShowTellA…
- arXiv cs.AIagentsRecovering Agentic Sovereignty: Mitigating the Consensus Paradox via Contrastive Epistemic Decoding
arXiv:2609.25570v1 Announce Type: new Abstract: Large language models (LLMs) exhibit a parametric vulnerability to adversarial swarm consensus. To mitigate this sycophancy, we introduce Contrastive Epistemic Decoding (CE…
- arXiv cs.AIagentsEvaluating Coding Agents on Kernel Exploit Generation
arXiv:2609.25591v1 Announce Type: new Abstract: Coding agents now find real vulnerabilities in production software. However, bug discovery results do not measure whether agents can construct exploit primitives. We introd…
- arXiv cs.AIagentsChatT2: An Adaptive Framework for Developing a Large Language Model-Based Agent for Natural Product Domain Research
arXiv:2609.25620v2 Announce Type: replace Abstract: Scientific investigations into microbial natural products (NPs) present significant challenges for novices, largely due to the complexity of microbial systems, biochemi…
- arXiv cs.AIagentsTesting-Driven Reliability Audit of Trajectory-Based Early Outcome Prediction for LLM Agents: Target-Specific Calibration Transfer Persists Within a Single Benchmark
arXiv:2609.25647v1 Announce Type: new Abstract: Predicting early outcomes based on trajectory can decrease the expenses associated with agent evaluation by terminating a run once the outcome becomes sufficiently predicta…
- arXiv cs.AIagentsSeeing Is Not Perceiving: When Synthetic Consumers Can and Cannot Pretest Visual Marketing
arXiv:2609.25677v1 Announce Type: new Abstract: Marketers now deploy generative AI agents as synthetic consumers to pretest visual assets such as logos, packaging, and advertising at a fraction of human-panel cost. Howev…
- arXiv cs.AIagentsToolcompass: Guiding Tool Trialing, Not Suppressing It
arXiv:2609.25678v1 Announce Type: new Abstract: Large language model (LLM) agents must generalize from tools seen during training to unseen tools at deployment. A key challenge is tool trialing, i.e., excessive trials wa…
- arXiv cs.AIagentsHow Strongly Should Task State Influence an LLM Agent?
arXiv:2609.25686v1 Announce Type: new Abstract: Long-horizon assigned work requires an LLM agent to track the state of a task: which steps are done, blocked, cancelled, or open to repetition. Agent systems either keep th…
- arXiv cs.AIagentsNeurosymbolic Action Model Learning under Partial Observability
arXiv:2609.25766v1 Announce Type: new Abstract: AI planning studies how an agent can reach a goal by executing a sequence of actions. To plan correctly, the agent needs an action model describing when each action can be…
- arXiv cs.AIagentsTowards Omni-dimensional GUI Agent Navigation with Masked Trajectory Prediction
arXiv:2609.25769v1 Announce Type: new Abstract: Graphical User Interface (GUI) Agents autonomously interact with software to fulfill user requests, where GUI navigation stands out as the most critical and challenging cap…
- arXiv cs.AIagentsThe Tasteful Agent: Measuring and Improving Taste in Long-Horizon Tasks
arXiv:2609.25804v2 Announce Type: replace Abstract: LLM agents increasingly work on long-horizon tasks, and the decisions they make along the way, such as which hypothesis to test or which implementation to build on, det…
- arXiv cs.AIagentsWhen Are Aggregate Agent Traces Diagnosable? Traffic-Governed Interpretation and Calibrated Abstention
arXiv:2609.25806v1 Announce Type: new Abstract: Runtime traces can appear transparent, but a closed-loop policy determines which states are visited and which failures become visible. We study a simulated hotel-pricing ag…
- arXiv cs.AIagentsAgenticSizing: A Large Language Model-based Multi-Agent Framework for Analog Circuit Sizing
arXiv:2609.25873v1 Announce Type: new Abstract: Analog circuit sizing remains a challenging and time-consuming task due to the large design space, strong performance trade-offs, and increasing circuit complexity in scale…
- arXiv cs.AIagentsCausalLoss-Fin: Attributing Financial-Agent Loss to Decisions and Infrastructure Faults
arXiv:2609.25960v1 Announce Type: new Abstract: When an agent handling a payment exception loses money, the agent-step attribution methods this paper compares against will name one of its actions. They will do so even wh…
- arXiv cs.AIagentsFIRE: Failure-Informed Runtime Engineering for Reliable Language-Model Agents
arXiv:2609.26048v1 Announce Type: new Abstract: Language-model agents often reach a working solution and then fail to consistently deliver it. We study runtime policies: targeted natural-language instructions and action…
- arXiv cs.AIagentsAdversarial Course-of-Action Generation: Game-Theoretic Multi-Agent Algorithms for COA matching & COA generation
arXiv:2609.26059v1 Announce Type: new Abstract: Course-of-action (COA) generation is a distributed planning problem: a system must propose structured candidate actions, evaluate them against an adversarial response, and…
- arXiv cs.AIagentsSelection-Invariant Communication Compilers for Privacy-Aware Multi-Agent LLM Workflows
arXiv:2609.26076v1 Announce Type: new Abstract: Structured multi-agent workflows exchange intermediate messages whose content and form can reveal private state even when the final output is safe. We identify selection-ch…
- arXiv cs.AIagentsDTOC: Dynamic Tool Output Compression for Adaptive Context Management in AI Agents
arXiv:2609.26121v1 Announce Type: new Abstract: As agent capabilities have grown, practical limitations increasingly stem from constrained context windows rather than model capacity. Common strategies, such as truncation…
- arXiv cs.AIagentsFairMon: A Tool for Monitoring and Visualizing Algorithmic Fairness
arXiv:2609.26123v1 Announce Type: new Abstract: Runtime monitoring has recently been proposed as a rigorous method for analyzing algorithmic fairness of autonomous decision systems used in critical scenarios such as cred…
- arXiv cs.AIagentsMAC-RRG: Iterative Multi-Agent Collaboration for X-ray Radiology Report Generation
arXiv:2609.26124v1 Announce Type: new Abstract: Despite the remarkable progress of LLM-based and knowledge graph-augmented Radiology Report Generation (RRG) methods, existing techniques still suffer from inherent defects…
- arXiv cs.AIagentsVACS: Value-Aligned Compositional Shielding for Multi-Agent Reasoning
arXiv:2609.26135v2 Announce Type: replace Abstract: Multi-agent reasoning systems in high-stakes domains must be both accurate and safe, yet agents often follow heterogeneous value priorities (e.g., rigor, conciseness, s…
- arXiv cs.AIagentsToward User-Mediated Self-Repair in Ubiquitous Robots Through Goal-Oriented Agentic AI
arXiv:2609.26157v1 Announce Type: new Abstract: Ubiquitous robotic systems often lack traditional visual interfaces, necessitating resilient natural language interaction for maintenance and repair tasks. This paper prese…
- arXiv cs.AIagentsCoding Agents are Strong Prompt Optimizers
arXiv:2609.26261v1 Announce Type: new Abstract: Search-based prompt optimizers improve prompts through iterative search: they propose edits, execute fresh rollouts, score the resulting trajectories, and retain only edits…
- arXiv cs.AIagentsDual-Frontier: When Can an Agent Trust Its World Model?
arXiv:2609.26293v2 Announce Type: replace Abstract: Learned world models are becoming essential to general-purpose agents: by predicting action consequences, they support planning and decision-making while reducing relia…
- arXiv cs.AIagentsThe Source of Disturbance Matters: External, Internal, and Control-Generated Noise in Adaptive Regulation
arXiv:2609.26428v1 Announce Type: new Abstract: Adaptive regulation can itself perturb the state it is intended to stabilize. In replicated simulations of an adaptive agent, we compare external disturbance, persistent in…
- arXiv cs.AIagentsRecursive self-improvement of AI research agents
arXiv:2609.26457v1 Announce Type: new Abstract: AI agents are beginning to automate research and development across the AI stack, from improving training efficiency to optimizing inference. A natural next step is to impr…