News / #agents Tag Agents + tool use 500 articles archived under #agents · RSS Sign in to follow Smol AI News news-outlet 6d ago not much happened today **Agent harnesses** are becoming a key optimization focus, with NVIDIA research showing traditional skill checks poorly predict agent usefulness and proposing a new metric called **"Skill Lift"**. Open-source implementations of **persistent and self-modifying agents** like… 27 Smol AI News news-outlet 6d ago not much happened today **Z.ai** released the **GLM-5.3** open-weight model family, optimized for **agentic coding** and **cyber defense**, with impressive specs like **744B total / 40B active parameters**, **1M context window**, and a **239GB 2-bit** variant retaining **81% accuracy**. **Tencent**… 28 arXiv — Machine Learning research 6d ago Metag: A dataset to build agentic meta-reviewing capabilities arXiv:2608.20488v1 Announce Type: new Abstract: AI tools increasingly support tasks across the scientific research cycle, from experiment design and manuscript preparation to peer review. At the same time, the continuing growth in conference submissions has increased the burden… 7 arXiv — Machine Learning research 6d ago AgentDecarbonizer: Carbon-Aware Execution for AI Agents arXiv:2608.20566v1 Announce Type: new Abstract: AI agents extend large language models from single prompt-response interactions to long-running, goaldirected workflows that issue many model calls, invoke tools, and interact with external environments. These workflows enable… 32 arXiv — Machine Learning research 6d ago Designing a Robust LLM-Based Evaluation System for Agentic AI in Drug Discovery Through Human Alignment arXiv:2608.21057v1 Announce Type: new Abstract: Agentic large language model (LLM) systems are reshaping scientific workflows in chemistry and drug discovery, but evaluating their open-ended, tool-augmented outputs remains a fundamental bottleneck. Reference-based metrics such… 12 arXiv — Machine Learning research 6d ago Asymmetric Capacity Allocation in Self-Refinement Pipelines arXiv:2608.21345v1 Announce Type: new Abstract: Self-refinement, typically structured as generation, critique, and revision, is a widely adopted paradigm for improving LLM generation and serves as a core mechanism in many LLM agents. While the three stages involve different… 37 arXiv — NLP / Computation & Language research 6d ago TH-GNN: Heterogeneous Temporal Graph Neural Networks for LLM-Agent Shilling Attack Detection arXiv:2608.20376v1 Announce Type: new Abstract: LLM agents can now generate realistic shilling profiles, fluent reviews, and coherent ratings at scale, systematically defeating recommender-system defenses. Text-only detectors that flag semantic drift in review embeddings are… 27 arXiv — NLP / Computation & Language research 6d ago When Retrieval Fails Before It Begins: Structurally Indirect Prerequisite Eviction as a Retention Failure in Agentic Memory arXiv:2608.20400v1 Announce Type: cross Abstract: Agentic memory under a fixed budget involves two stages: retention and retrieval. Existing retrieval-centered paradigms implicitly assume necessary evidence survives eviction, but we challenge this by isolating a pre-retrieval… 8 arXiv — Machine Learning research 6d ago World models of environment, agent and joint agent-environment systems arXiv:2608.20401v1 Announce Type: cross Abstract: World models are a central component of model-based reinforcement learning. They are usually discussed in terms of what variables they predict, such as observations, rewards, states, latent or information states. We argue that… 12 arXiv — NLP / Computation & Language research 6d ago How to Train a Real-World Silicon Concierge? Internalizing Complex Business Workflow to Only OneModel arXiv:2608.20350v1 Announce Type: new Abstract: Traditional industrial agents rely on modular pipelines, including Router, Retriever, Planner, Executor, Responder, Reviewer, and other components. These systems often fracture into a labyrinth of ad-hoc patches, leading to… 8 arXiv — NLP / Computation & Language research 6d ago ExpertIVS: Sociological Expert Driven Individual Value Simulation in Large Language Models arXiv:2608.20355v1 Announce Type: new Abstract: Large Language Model (LLM) agents have demonstrated considerable potential for social simulation, yet struggle to accurately model individual value systems. Most existing methods mechanically stitch survey responses into prompts,… 27 arXiv — NLP / Computation & Language research 6d ago Knowledge-Graph-Gated Defactualization for Style-Controllable and Fact-Preserving Generation in Agentic Conversational AI arXiv:2608.20393v1 Announce Type: new Abstract: Agentic large language models (LLMs) deployed in fact-sensitive applications such as customer support must simultaneously preserve factual correctness and generate responses in a controllable stylistic register. Activation steering… 7 arXiv — NLP / Computation & Language research 6d ago When Failures Propagate: Causal Failure Attribution in Agentic Retrieval-Augmented Generation arXiv:2608.20627v1 Announce Type: new Abstract: Agentic retrieval-augmented generation (RAG) interleaves retrieval, reasoning, and answer generation across multiple hops. A retrieval error at hop 1 can surface only as a wrong answer at hop 3, while later retrieval can also… 20 arXiv — NLP / Computation & Language research 6d ago AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale arXiv:2608.20634v1 Announce Type: new Abstract: Agents learn to act through interaction with environments, yet the environments used for training are often manually constructed or synthesized around predefined tasks and benchmarks. This task-centric paradigm makes it difficult… 15 arXiv — NLP / Computation & Language research 6d ago AsmEvo: Agentic Assembly-Level Optimization of AMD GPU Kernels with Functional Equivalence Verification arXiv:2608.20711v1 Announce Type: new Abstract: High-performance ML systems increasingly rely on GPU kernels whose editable source is unavailable, generated, or too distant from final machine code to expose remaining optimizations. Existing LLM kernel optimizers and autotuners… 31 arXiv — NLP / Computation & Language research 6d ago ForeDreamer: A Self-Evolving Dual-Agent Memory Architecture for Future Event Prediction arXiv:2608.20920v1 Announce Type: new Abstract: Open-web future event prediction requires agents to distill reliable signals from noisy, redundant, and incomplete evidence. Existing retrieval/memory mechanisms directly feed retrieved information to agents or rely on simple… 14 arXiv — NLP / Computation & Language research 6d ago ProofJudge: Tool-Grounded LLM Evaluation of Formal Proof Quality in Mathlib arXiv:2608.20432v1 Announce Type: cross Abstract: Formal proofs in Lean 4 that pass the kernel's type checker can nonetheless vary widely in quality. We introduce ProofJudge, an agentic LLM-as-judge system that scores formal proof quality along five dimensions beyond… 7 arXiv — NLP / Computation & Language research 6d ago Why2Speak: Faithful Reasoning for Abstaining Action Policies arXiv:2608.20670v1 Announce Type: cross Abstract: Many agentic systems must repeatedly choose between acting and abstaining, making faithful reasoning important for oversight: an explanation is useful only if it reflects the computation that produced the action. We study this… 25 arXiv — NLP / Computation & Language research 6d ago Calibrating Criterion Revision in LLM Agents: Failure Modes and a Trace-Anchored Protocol arXiv:2608.20729v1 Announce Type: cross Abstract: Language-model agents can improve after failure or carry text across episodes without revising what counts as success. We study the narrower attribution problem of criterion revision: when criterion K0 accepts an outcome… 26 arXiv — NLP / Computation & Language research 6d ago Trustworthy RAG: An Evaluation Agent for Detecting Misinformation and Knowledge Poisoning in Generative AI Systems arXiv:2608.21095v1 Announce Type: cross Abstract: Retrieval-Augmented Generation (RAG) grounds Large Language Model (LLM) outputs in external knowledge, but RAG systems usually trust whatever they retrieve, creating a Security-Reliability Gap: high semantic relevance does not… 12 arXiv — NLP / Computation & Language research 6d ago Personalized Privacy Control in LLMs via Attention Head Intervention arXiv:2608.21209v1 Announce Type: cross Abstract: The rise of agentic AI enables LLMs to access diverse user data, raising critical privacy concerns. Prior work on contextual privacy studies whether LLMs regulate information disclosure according to context-dependent norms.… 20 Hugging Face Daily Papers research 6d ago AgentMercury: Your Agent Can Synthesize Verifiable Environments for Business Scenarios at scale Abstract AgentMercury synthesizes scalable executable business environments that serve as generalizable reinforcement learning substrates, improving agent performance across enterprise and out-of-domain reasoning tasks while making environment construction itself learnable.… 38 Hugging Face Daily Papers research 6d ago Towards Faithful Simulation of Human Shopping Behavior Abstract RecVerse is a GUI-grounded agent that uses hierarchical memory and trajectory-level reinforcement learning to simulate realistic multi-turn e-commerce shopping sessions. Generated by thinkingmachines/Inkling-Small Simulating realistic user shopping behavior underpins… 23 Hugging Face Daily Papers research 6d ago Graph Engineering in the Era of LLM Agents: From Individual Intelligence to System Intelligence Abstract Graph Engineering organizes multi-agent LLM systems through dynamic graph structures to coordinate specialized agents and manage complex, evolving tasks. Generated by thinkingmachines/Inkling-Small LLMs have evolved from language generators to autonomous agents capable… 21 r/LocalLLaMA community 6d ago Benchmark results: what is the best and fastest engine to run Qwen3.8-27B on macOS WARNING: I think I made a mistake with omlx, and its results below seem to be without any kind of acceleration. I am rerunning them with Lightning MTP and ANE support for prefill. Will update the post once done. The new Qwen 3.8 27B is fantastic for local agentic use. The… 5 r/MachineLearning community 6d ago When an AI agent says “done” how do you know it actually happened? [P] i’m testing an early concept called agentuptime. there’s no product or sdk yet. the idea came from something that keeps bothering me with agents: an agent saying “done” doesn’t necessarily mean the thing actually happened. a tool can return success, the trace can look fine, and… 10 r/LocalLLaMA community 7d ago I fine tuned Gemma 4 12B for a 2.7x improvement on tool calling because I can't fit anything else comfortably into my 16 GBs of Vram Gemma 12B is obviously a very well trained model, I always thought the fine tuning they did on it wasn't really cut out for agentic coding. From my own experiences it struggles to use the tools it's given from Github Copilot and is also very inept at the cli too. So I thought… 21 r/LocalLLaMA community 7d ago Has anyone actually made 64k feel like 300k+ with recursive local agents? I'm running Qwen 3.8 27B locally on a single GPU. I can push the context to 131k, but I'd rather run it faster at 64k if the agent can manage context properly. What I have in mind is pretty simple: one model stays loaded the whole time main agent gets 64k when something is too… 32 r/MachineLearning community 7d ago How to grow a project? [D] I recently got my first paper accepted at EMNLP and open-sourced the code. The core idea is fundamental change, so I’ve been expanding it into a larger system with chatbot agents and extra components. My goal was to build a community around it as I plan to use it on other… 25 TechCrunch — AI news-outlet 7d ago Inherent, founded by DeepMind alumni, says its AI ‘teammate’ just outperformed Anthropic and OpenAI at replicating research Built by DeepMind alumni, British AI lab Inherent released Faraday, an AI agent whose ability to replicate scientific papers could be a stepping stone for innovation. 32 r/LocalLLaMA community 7d ago Current best model for narrative, chat, prompt creation (so basically everything except agentic coding)? - 5090 Im looking to set up a new local llm (probably on unsloth studio as that seemed to be doing pretty well last time I tested it). This one won't need to do agentic coding or app building or anything (not this time) but instead more 'text' based tasks such as - being given… 10 r/MachineLearning community 7d ago I built an open-source roguelike specifically for training game-playing agents [P] Hey everyone! I wanted to share something I’ve been working on. I was inspired by projects from DeepMind and OpenAI, but noticed that most games are prohibitively difficult to integrate with an agent harness. So I built DelveRL from the ground up as a human-playable game with a… 36 Simon Willison community 7d ago More than just code review The key skill required to make productive use of coding agents is being able to confidently instruct them on how to make changes and then confidently verify that those changes have been applied in the correct way. Sometimes this involves reviewing every line of code they have… 18 Hacker News — AI on Front Page community 7d ago New MCP Roadmap Article URL: https://blog.modelcontextprotocol.io/posts/mcp-roadmap/ Comments URL: https://news.ycombinator.com/item?id=49399591 Points: 221 # Comments: 136 19 Hacker News — AI on Front Page community 8d ago Munder Difflin – Agent harness to run an office of your clones Article URL: https://munderdiffl.in/ Comments URL: https://news.ycombinator.com/item?id=49398152 Points: 212 # Comments: 84 32 llama.cpp releases dev-tools 8d ago b10578 ggml: optimize concat op by replacing per-element memcpy with row-level memcpy ( #24575 ) ggml: optimize concat op by replacing per-element memcpy with row-level memcpy ggml: fix concat offsets for row-level copies ggml: add concat row contiguity asserts ggml: move concat block… 24 Latent.Space news-outlet 8d ago The Evolution of the Agent Harness Models keep absorbing the harness into their weights — soon, it will be a harness for human attention rather than for the model. 25 r/LocalLLaMA community 8d ago How to give a local LLM/agent access to a "real" web browser I can't seem to find a good answer to this, my Hermes agent has access to Firecrawl and some other web scrapers for content extraction, but anyone know of a way to let a local LLM drive a "real" web browser? My wife asked me to have Hermes go and look at her LinkedIn profile,… 21 r/LocalLLaMA community 8d ago Qwen 3.8 27b - PI AGENT vs OPENCODE - another smaple That is the second comparison and the last one. I will not be spamming again ;) Continuation from: https://www.reddit.com/r/LocalLLaMA/comments/1vu0u2v/qwen_38_27b_pi_agent_vs_opencode/ That is one of my many tests I make comparing output quality. What is more interesting using… 9 Latent.Space news-outlet 8d ago Simulation: the new Scaling Law — Joon Sung Park, Simile AI Simile’s CEO about his journey from the viral Generative Agents to creating 8 Billion Digital Twins of every living human... and why it’s gone from fun exploration to very serious business. 22 Hugging Face Daily Papers research 8d ago FlowEvo: Self-Evolving Agents through the Co-Evolution of Workflows and Executable Skills Abstract FlowEvo enables large language model agents to co-evolve reusable skills and workflows during inference, improving accuracy and efficiency across diverse benchmarks. Generated by thinkingmachines/Inkling-Small Large language model agents can adapt to complex tasks by… 15 r/LocalLLaMA community 8d ago I'm really hoping we're in 2026's 2-month-gap between QwQ and Qwen3 right now QwQ was genuine next-gen performance usable on local hardware, but the massive required context (it's reasoning style was akin to "if I say every possible word, I'll notice the right one!" ) kinda made it unusable for agentic coding. It was ~2 months later that Qwen3-32B came… 20 Vercel — AI dev-tools 8d ago How Ora benchmarks every major AI agent on Vercel Ora on Vercel Front end, back end, and agent runtime on one platform Every major agent tested side by side on live sites Hundreds of commits a day from a 16-person engineering team Ora sends agents onto live websites with instructions to sign up for a product, integrate with it,… 18 TechCrunch — AI news-outlet 8d ago Nvidia just showed that the harness, not the AI model, is now the real hero Nvidia research shows that AI agents can perform well, and not go off the deep end, through fine-tuning, even if the AI model isn't that great at the task. 28 r/LocalLLaMA community 8d ago Qwen3.8-27B on an RTX 5060 Ti 16GB: IQ4 vs Q8, 64K context, MTP, vision, and agent benchmarks I’ve been testing Qwen3.8-27B as a possible replacement for the Qwen3.5-9B that I have been running on RTX 5060Ti 16G. The goal was not just maximum tokens/sec, but useful context capacity, reliable tool calling, multi-turn behavior, and vision on a single 16GB GPU for true… 34 r/LocalLLaMA community 8d ago Qwen3.8-27B Q6 is a beast at agentic coding A quick feedback after a really major test: nearly 20 hours of non-stop goal-oriented work with Qwen3.8-27B Q6, running across an RTX 3090 and an RTX 3060. It maintained a speed of around 60–63 tokens/s throughout the session.   submitted by   /u/Ok_Ninja7526 [link]… 30 Simon Willison community 8d ago Stop Making TUIs Stop Making TUIs Thomas Ptacek advocates for building real native user interfaces for even the smallest of personal tools, because coding agents have reduced the cost of getting a usable-enough GUI up and running to almost nothing. I wrote about my vibe-coded bandwidth and GPU… 27 r/LocalLLaMA community 8d ago I benchmarked Ox Alpha on SWE-bench Verified Mini (50 tasks): 96% resolved. Now I’m skeptical of myself. TL;DR: The result looks TOO GOOD TO BE TRUE — that's exactly why I'm posting it. I ran Ox alpha on the entire SWE-bench Verified-Mini set with the official mini-swe-agent scaffold — the same agent used for the swebench.com Bash-Only leaderboard. Result: 48/50 = 96% resolved,… 11 Hugging Face Daily Papers research 8d ago QuoteBench: How Matched Scores Can Hide Command-Path Failures Abstract QuoteBench reveals that execution-boundary parsing errors significantly reduce LLM coding agent success, and disclosing the boundary helps recover performance, showing that evaluation must account for deployment configuration rather than treating matched scores as… 18 r/LocalLLaMA community 8d ago Qwen 3.8 27b is strong even at Q3_xxs So usually I avoid Q3 quants because I have had bad experiences with it, models were usually too degraded, so the smallest I normally do is Q4, since I only have rtx 4060 ti 16gb. But since there hasn't been a 35b-3ab released yet, I had to try it. I don't use LLMs in agentic… 13 Page 4 of 10 · 500 articles ← Newer Older →
