News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow Stratechery (Ben Thompson) community 7d ago Apple and LG, The House For Everyone Else, Agent Standards and Amazon Apple is taking a smarter approach to the home than I expected, leaning into integration (with partners); then, what Amazon should do about agents. 20 r/LocalLLaMA community 7d ago A stock GLM-Edge-1.5B-Chat on a 4GB Galaxy A04e completed a real Amazon cart task Yesterday TechCrunch published a piece about a growing problem for AI agents: websites are starting to block them. Amazon blocking Meta's Muse is the obvious example. At almost exactly the same time, GLM-Edge-1.5B-Chat running locally on a 4GB Galaxy A04e completed a real Amazon… 22 r/MachineLearning community 7d ago Looking for developer-friendly inference providers who give you enough API credits to experiment [D] I’m hitting rate limits on Together AI. For context, I’ve been working on an agentic repository indexing and benchmark generation tool, and I’m running multiple agents in parallel across models like Llama 3.3 70B and Qwen 2.5. When I first started working on this, Together AI… 33 arXiv — Machine Learning research 7d ago Learning from Unreliable Trajectories: Adversarially-Robust Federated Q-Learning arXiv:2610.06918v1 Announce Type: new Abstract: We study federated reinforcement learning in which multiple agents interact with a common Markov decision process and communicate through a central server to collaboratively learn the optimal state-action value function. Our goal… 11 arXiv — Machine Learning research 7d ago SchemaFill: Efficient LLM Tool Calling via Slot-Parallel Speculative Decoding arXiv:2610.07086v1 Announce Type: new Abstract: LLM agents interact with external systems by generating structured tool calls. Given a user request, conversational context, and a catalog of tool schemas, a tool-calling model must select tools and generate their arguments,… 38 arXiv — NLP / Computation & Language research 7d ago Structuring MoE Expert Selection for Agentic Reinforcement Learning arXiv:2610.07332v1 Announce Type: cross Abstract: Long-horizon LLM agents are frequently implemented using sparse mixture-of-experts (MoE) models, yet the co-design of agentic behavior and MoE structures remains underexplored. In this work, we comprehensively study the… 22 arXiv — Machine Learning research 7d ago Selective Critique for Cost-Aware LLM Agents in Long-Horizon Decision Making arXiv:2610.07335v1 Announce Type: new Abstract: Improving the reliability of large language model (LLM) agents in long-horizon decision-making remains a key challenge. When deployed as autonomous agents interacting with complex environments, early mistakes can propagate through… 30 arXiv — Machine Learning research 7d ago RELACE: retrospective likelihood-based action credit estimation for long-horizon language agents arXiv:2610.07349v1 Announce Type: new Abstract: Group Relative Policy Optimization (GRPO) avoids a separate critic by estimating advantages from rollout groups. For multi-turn agents, however, trajectory-level supervision provides coarse, noisy credit: terminal rewards do not… 38 arXiv — Machine Learning research 7d ago Dynamic Budget Allocation for LLM Evaluation under Hard Resource Constraints arXiv:2610.07362v1 Announce Type: new Abstract: We evaluate large language models (LLMs) in multi-turn interactions through their time-to-event: the number of interaction steps required to produce an event of interest, such as a successful jailbreak or agentic task completion.… 9 arXiv — Machine Learning research 7d ago Decoupling What from Where: How Should a Small GUI Grounding Model Receive the Action Type? arXiv:2610.07444v1 Announce Type: new Abstract: A GUI agent decides which action to take and where to take it; we ask how a small grounding model should receive the action type. Fine-tuning Qwen2-VL-2B with LoRA on Android in the Wild, we compare a flat baseline with five ways… 15 arXiv — Machine Learning research 7d ago Fork-and-Flush: Escaping Idea Basins in Autoresearch Agents arXiv:2610.07447v1 Announce Type: new Abstract: Autoresearch agents tackle open-ended problems by repeatedly proposing candidate solutions, evaluating them, and using feedback to guide subsequent experiments. We show that independent runs of the same agent on the same task often… 21 arXiv — Machine Learning research 7d ago Adapting to Changes in Agent Behavior via Finite-Depth Policy Sensitivity arXiv:2610.07475v1 Announce Type: new Abstract: Adapting a reinforcement learning policy to changes in another agent's behavior typically requires a large amount of new interaction data. Policy sensitivity provides a first-order prediction of how a locally optimal policy changes… 30 arXiv — Machine Learning research 7d ago Who Bears the Burden? Learning Responsibility for Shared Constraints in Multi-Agent Reinforcement Learning arXiv:2610.07491v1 Announce Type: new Abstract: When multiple agents share a cost budget, a common Lagrange multiplier can enforce the aggregate constraint but does not determine how its penalty should be allocated across agents. Uniform penalties ignore heterogeneity in the… 35 arXiv — Machine Learning research 7d ago AFA-BANDIT: Provably Near-Optimal Online Multi-Feature Classification Under Budget Constraints arXiv:2610.07615v1 Announce Type: new Abstract: Active Feature Acquisition (AFA) is a classification problem in which an agent decides which costly features to acquire before predicting each sample's label. Unlike batch AFA, which trains a fixed policy and classifier offline on… 4 arXiv — NLP / Computation & Language research 7d ago Large Language Model Orchestration under Heterogeneous Preferences via Explicit Persona Inference arXiv:2610.07587v1 Announce Type: new Abstract: LLM orchestration investigates how an orchestrator coordinates a group of autonomous agents to achieve common goals or maximize collective welfare. The agents are typically heterogeneous, each holding a private preference that it… 10 arXiv — NLP / Computation & Language research 7d ago From Evidence to Action: How Tool-Using Agents Fail arXiv:2610.07753v1 Announce Type: new Abstract: Tool-using agents make consequential changes to external state, yet correct outcomes do not guarantee that their actions were supported by evidence established beforehand. We study where this evidence-to-action chain breaks as… 10 arXiv — NLP / Computation & Language research 7d ago One Step at a Time: Trading LLM Autonomy for Process Predictability arXiv:2610.07817v1 Announce Type: new Abstract: Organizations automating operational processes need more than a correct outcome: they need to predict how a process will run, know which one actually ran, and inspect it step by step. When an agent is the executor that… 37 arXiv — NLP / Computation & Language research 7d ago ReFold: Training-Free Reversible Inter-Turn Context Folding for Long-Horizon Agents arXiv:2610.07863v1 Announce Type: new Abstract: Long-horizon LLM agents act on an append-only interaction history that is re-sent to the model at every step, so the context and its cost grow with steps until the sessions exceed the context window. Existing methods manage the… 8 arXiv — NLP / Computation & Language research 7d ago Leveraging a four-quadrant approach for evaluating Redpine Science arXiv:2610.07937v1 Announce Type: new Abstract: Redpine Science gives models and agents a single access point to a wide range of peer-reviewed literature, queried directly through the Model Context Protocol (MCP) and an API. This report evaluates Redpine Science on two levels:… 27 arXiv — NLP / Computation & Language research 7d ago Structured but Silent: Probing Capability Requirements in LLM Hidden States arXiv:2610.08018v1 Announce Type: new Abstract: Reliable tool use requires more than triggering a mechanism or matching a query to an API description. Before selecting a specific tool, an agent must first infer the capability requirements implied by the user query. In this… 10 arXiv — NLP / Computation & Language research 7d ago Agentic AutoRAG: RAG Pipeline Optimization through Reasoning-Driven Agents arXiv:2610.08452v1 Announce Type: new Abstract: Retrieval-augmented generation (RAG) is a widely used approach for grounding large language models (LLMs) in external knowledge. However, configuring a pipeline is an expensive hyperparameter optimization problem over many… 21 arXiv — NLP / Computation & Language research 7d ago Wiki-Talkie: Multilingual Benchmarking of Persona-Based Agents on Real-World Discussions arXiv:2610.08513v1 Announce Type: new Abstract: LLMs are increasingly deployed as autonomous agents in social environments, making it critical to study their ability to faithfully simulate human interactions. Central to this is grounding agents in realistic user personas, yet… 32 arXiv — NLP / Computation & Language research 7d ago Towards In-Parameter Memory Augmentation for Large Language Models arXiv:2610.08630v1 Announce Type: new Abstract: Recently Large Language Models (LLMs) and LLM-based agents increasingly need to incorporate knowledge acquired after pretraining, e.g., domain facts, user preferences, documents, and interaction experience. In-context learning… 31 arXiv — NLP / Computation & Language research 7d ago AdvSim2Real : Training Web Agents Against Adaptive Prompt Injection in a Web World Model arXiv:2610.08773v1 Announce Type: new Abstract: Web agents complete user requests by reading and acting on pages that third parties write, so an instruction planted on a page can redirect the agent away from the user's goal. The agent cannot simply ignore the page, because the… 8 arXiv — NLP / Computation & Language research 7d ago AegisFlow: A Multi-Agent Agentic AI Framework for Autonomous Remediation and Self-Healing in Fragile Data Ecosystems arXiv:2610.06971v1 Announce Type: cross Abstract: Traditional data pipelines are notoriously brittle, often failing due to upstream schema drift, API contract changes, or website DOM modifications. Present observability tools only raise alerts but for human engineers, resulting… 23 arXiv — NLP / Computation & Language research 7d ago Lineage-Aware Memory Governance: A Derivation-Gated Framework for Privacy-Preserving Column-Level Access Control in Enterprise AI Agents arXiv:2610.07258v1 Announce Type: cross Abstract: Enterprise AI agents that share a memory store face two unaddressed risks: sensitive data can leak through legitimately computed results the requester could not derive, and departments can silently compute a same-named key… 26 arXiv — NLP / Computation & Language research 7d ago SharedKV-BT: Node-Local Typed Decisions for Behavior-Tree Agents arXiv:2610.07327v1 Announce Type: cross Abstract: Agent tasks require sequences of interdependent decisions. Autoregressive models support more flexible decision interfaces than conventional classifiers but incur the latency of token-by-token generation. Recent shared-prefix… 30 Simon Willison community 7d ago OpenAI “rogue” agent activities found on Wikimedia projects OpenAI “rogue” agent activities found on Wikimedia projects Given how tempting a target wikis are for rogue agent swarms, it's not a huge surprise that Wikipedia found evidence of that activity once they went looking: The Wikimedia Foundation conducted its own investigation to… 28 r/LocalLLaMA community 7d ago pi-optchat: never compact again - endless chat as a memory tree I built a Pi extension that implements Victor Taelin's OptChat recipe: instead of compacting, every message is logged and summarized into a binary tree. Each turn starts from a fresh context with a bounded memory view (128 KB), and the agent uses zoom/date to read the originals… 23 TechCrunch — AI news-outlet 8d ago The next hurdle for AI agents: getting websites to let them in Personal AI agents promise to shop, book flights, and make reservations for you. But deliberate blocks and anti-bot defenses are getting in the way, leaving consumers caught in the middle. A new standard aims to help. 7 OpenAI Python SDK releases dev-tools 8d ago v3.25.0 3.25.0 (2026-10-06) Features agents: observe local tool failures ( #4028 ) ( 95d9645 ) agents: run local tools during streamed session creation ( #4027 ) ( 919b623 ) api: add agent turn items and usage source grouping ( #4030 ) ( bd74c4e ) lib: export… 15 Ars Technica — AI news-outlet 8d ago OpenAI agents tried to hack Wikipedia tools and flooded it with traffic The reports of OpenAI agents harming 3rd party sites keep coming. 24 OpenAI official-blog 8d ago Advancing computer use with Ironclad Learn how OpenAI and Ironclad are training and evaluating AI agents on complex contracting workflows to advance computer use for professional work. 36 llama.cpp releases dev-tools 8d ago backup/allozaur-ui-shell-polish: ui : polish the shell The secondary button gets its own look back and the chat add button its own light surface. Pressable elements get a pointer cursor again, the font rendering smooths on the app shell, the root layout resolves its props probe through the providers' api url, and the agent skills… 10 r/LocalLLaMA community 8d ago Why 38% of AI Agent container escapes didn't need kernel 0-days: Analysis of 109 empirical incidents (Open Dataset + Defense Harness) Over the past several months, we conducted an empirical post-mortem investigation into 109 autonomous AI agent security incidents (cataloged with 193 falsification criteria across tool-use and multi-agent systems). One of the most striking patterns in the dataset: In 38% of… 30 Ars Technica — AI news-outlet 8d ago MCP for agent-to-agent comms may be the riskiest protocol you've never heard of Trust gaps in the new protocol spread malicious prompts from one agent to another. 34 Hacker News — AI on Front Page community 9d ago Opus 5.5 agents discover two room-temperature magnetic semiconductor candidates Article URL: https://www.vals.ai/blogs/room-temperature-magnetic-semiconductors Comments URL: https://news.ycombinator.com/item?id=49970667 Points: 211 # Comments: 163 9 TechCrunch — AI news-outlet 9d ago Instinct brings its AI agent to group chats, even for friends without an account Instinct is launching group chats that let friends use its AI agent together for tasks like planning trips, organizing carpools, and coordinating events. The company says personal accounts remain separate, with permission required before personal agents share information or take… 24 TechCrunch — AI news-outlet 9d ago TikTok rolls out an AI shopping assistant and one-click checkout TikTok describes its new Shopping Assistant as a conversational AI agent designed to help users discover and purchase products. 21 Hacker News — AI on Front Page community 9d ago OpenAI "rogue" agent activities found on Wikimedia projects Article URL: https://diff.wikimedia.org/2026/10/05/openai-rogue-agent-activities-found-on-wikimedia-projects/ Comments URL: https://news.ycombinator.com/item?id=49968105 Points: 214 # Comments: 151 25 GitHub Blog — AI & ML official-blog 9d ago ReviewBench: An open benchmark for AI code review We’re launching ReviewBench, a benchmark for code review agents built on representative GitHub pull requests, multi-source ground truth, calibrated evaluation, and production-aligned metrics. The post ReviewBench: An open benchmark for AI code review appeared first on The GitHub… 22 r/LocalLLaMA community 9d ago Speakrail - a low-latency fully-local voice assistant that runs on a single RTX 4090 tl;dr: I created a fully-local open-source full-duplex voice agent that rivals GPT-Live on some benchmarks. It uses Voxtral Realtime with a turn-taking head, a microturn-finetuned Gemma 4 12B and Breeze TTS 2 under the hood. Go try it out: https://github.com/speakrail/speakrail… 21 MIT Technology Review — AI news-outlet 9d ago Connecting AI agents to enterprise knowledge For all the data that AI systems continually amass and analyze, enterprise AI agents often suffer from a curious shortcoming: a lack of knowledge. More than data, knowledge is the understanding of what the data means in the context of individual organizations. AI agents need… 30 TechCrunch — AI news-outlet 9d ago Researchers are tracking a Chinese AI ‘agent fleet’ Independent researchers discovered an agent swarm that seems to be running on Tencent's infrastructure and targeting Alibaba's map service, Amap. 18 MIT Technology Review — AI news-outlet 9d ago Bringing predictive analytics to the agentic AI era In 2026, the question for enterprise AI is no longer whether predictive models can outperform statistical forecasts—that argument is settled. The big question now is how to enable predictive systems to act on their own conclusions without drifting from business intent. The… 12 r/LocalLLaMA community 9d ago Switched my local agent from Qwen3.8 27B to Ornith 1.5 35B-A3B on two 5070 Tis: about 180 tok/s vs 60, same scores on my tests My setup is two RTX 5070 Ti 16GB cards (the second one is on an OCuLink dock) with 64GB of RAM, Ollama on Windows, and the agent runs on pi in WSL. Until last night the daily model was Qwen3.8 27B UD-Q4_K_XL at 128K with MTP, which does about 55 to 70 tok/s across both cards. I… 24 arXiv — Machine Learning research 9d ago ArrivalBench: Agent-Generated Data Pipelines Are Correct Once and Wrong Under Time arXiv:2610.02363v1 Announce Type: new Abstract: Benchmarks for agent-generated data work grade a pipeline by running it once against a fixed snapshot. ArrivalBench instead re-executes the pipeline an agent leaves behind under adversarial but replayable delivery schedules (late,… 34 arXiv — Machine Learning research 9d ago Inherit-MAS: Test-Time Evolution of Multi-Agent Systems through Workflow and Execution Inheritance arXiv:2610.02396v1 Announce Type: new Abstract: Multi-agent systems (MAS) built from large language models coordinate specialized agents to tackle complex tasks, but effective workflows are difficult to design in advance. Test-time evolution refines workflows using execution… 34 arXiv — Machine Learning research 9d ago VisAudit: Evaluating Multimodal Agents for Visual Diagnosis and Repair arXiv:2610.02399v1 Announce Type: new Abstract: Multimodal agents are increasingly used for data visualization tasks but remain limited in autonomous review. Unlike humans, they may fail to recognize when a visualization is incorrect, determine what to change, repair it without… 15 arXiv — NLP / Computation & Language research 9d ago Trained Agentic Context Management arXiv:2610.02404v1 Announce Type: cross Abstract: We study long context language models. Instead of training long context natively, or designing a long context harness, we train a model over the simplest possible harness: a tool to call itself with any specified prompt and a… 7 Page 4 of 10 · 500 articles ← Newer Older →
