News / #security Tag Security 500 articles archived under #security · RSS Sign in to follow arXiv — NLP / Computation & Language research 5d ago StoreBench: A Live-Commerce Environment for Evaluating and Training Autonomous Operator Agents arXiv:2610.10942v1 Announce Type: cross Abstract: Reinforcement learning environments are now a primary lever for improving large language model (LLM) capabilities in post-training, yet most agentic benchmarks remain static: the world moves only when the agent acts, the reward… 19 The Information — AI news-outlet 5d ago South Korean Banks Were Hacked Using Chinese AI Agent, Researchers Say The perpetrator of a recent hack of South Korean financial institutions that resulted in data leaks used an open-source Chinese AI agent called Artex and Chinese large language models, according to a report published this week by cybersecurity firm CrowdStrike. The analysis of… 7 The Information — AI news-outlet 5d ago Anthropic Announces Broader Cyber Defense Program Anthropic said Thursday it is launching new programs to support cybersecurity for critical infrastructure and open-source software. In a blog post, Anthropic said it would offer threat research, on-site engineers, and access to its frontier Claude models to infrastructure… 29 Simon Willison community 5d ago ttok 0.4 Release: ttok 0.4 ttok is my CLI tool for counting tokens, using OpenAI's open source tiktoken library. It hasn't been in updated in a couple of years, but I finally fixed a Click warning, updated CI, and added a --list-models command to list available models. It works with uvx… 7 r/LocalLLaMA community 6d ago Thank you :) Swift Models hit 2.2 million+ downloads / Early Access to New Models, Free Compute for Researchers Hey everyone, Jovan from UkisAI (Swift Qwen) here! For those who don't know us, UkisAI is a small lab making tiny frontier LLMs, tools and datasets (+doing it open-source!). I'm one of the guys running it aka I train the models and post on Reddit. Our first open-source release… 29 r/LocalLLaMA community 6d ago I built an open source framework for building RL environments. Named "Seahaven" after the fake town in The Truman Show. I've been optimizing long-running agents: rewriting their prompts, tools, skills and subagents, and keeping the changes that score better. I've been working on some version of this problem for over a decade (at Apple, my own startup, now Kiln). The hard part is the eval… 31 r/MachineLearning community 6d ago Best practices when running a benchmark on online models [D] I'm developing a benchmark for a low resource language and I don't want it to be leaked and used for training when it is being used to get predictions. For locally run models it shouldn't be a problem, but for models that are only accessible via API, it is. Is there an… 11 r/LocalLLaMA community 6d ago Last week some of South Korea's biggest banks were hit by a cyberattack. We now know the entire hack may have been done by a single person. He used a combined stack of an open-source AI penetration tool named ARTEX, DeepSeek v4.1-Flash, GLM-5.3, Grok 4.6, and Claude Code… CrowdStrike report: https://www.crowdstrike.com/en-us/blog/unknown-threat-actor-uses-artex-to-target-south-korean-finance/ From: Andrew Curran on 𝕏: https://x.com/AndrewCurran_/status/2108108695876092323 Jukan ✈️OCP 2026 on 𝕏: https://x.com/jukan05/status/2108110513033093369… 14 r/MachineLearning community 6d ago Nvidia’s erroneous paper accepted as ICML’s spotlight [D] Here is the story: Nvidia has published this work (with source code available) called dreamDojo which is a world model for robotics based of their prior work Cosmos 2.5 which is cited about 100 times and got ICML’s spotlight. Authors are very well known and respected in the… 8 arXiv — Machine Learning research 6d ago The Cost of Long Memory: State, Context, and Stability Complexity in Sequence Models arXiv:2610.08816v1 Announce Type: new Abstract: Long-range temporal dependence poses a resource question for sequence models: for a specified predictive-memory law, how much state, context, or dynamical criticality is required in order to forecast accurately? We study this… 4 arXiv — Machine Learning research 6d ago Work While They Sleep: Exploiting Evaluation Latency for Fully Bayesian Optimization arXiv:2610.08969v1 Announce Type: new Abstract: Black-box optimization problems are ubiquitous across science and engineering, often dealing with expensive objective functions. This objective latency has two consequences during optimization: (i) the objective evaluation… 31 arXiv — NLP / Computation & Language research 6d ago Multi-Label Topic Assignment via LLM Distillation: A Comparative Analysis of Generative vs. Discriminative Student Models arXiv:2610.09063v1 Announce Type: cross Abstract: Multi-label topic assignment for user-generated content (UGC) -- including product reviews and buyer-seller conversations -- poses unique scalability challenges in large-scale e-commerce due to informal language, extreme label… 21 arXiv — Machine Learning research 6d ago Tucker Bottleneck Attention for Multi-Dimensional Sequence Modeling arXiv:2610.09090v1 Announce Type: new Abstract: The quadratic cost of self-attention limits scalability to long sequences from multidimensional data. We introduce Tucker bottleneck attention (TuBA), which exploits low-rank tensor structure for efficient global token mixing. TuBA… 29 arXiv — NLP / Computation & Language research 6d ago CHASE: Channel-Aligned Structure Exploitation for Geometry-Aware Model Engineering arXiv:2610.09476v1 Announce Type: cross Abstract: Geometric and Spectral Alignment (GSA) characterizes trained networks through spectral concentration, physical-channel alignment, support structure, and changes in singular bases. In this paper, we propose CHASE (Channel-Aligned… 19 arXiv — Machine Learning research 6d ago Online Resource Allocation with an Endogenous Markov State: Fewer LP Solves Earn More arXiv:2610.09577v1 Announce Type: new Abstract: We study finite-horizon online resource allocation with i.i.d. requests and an endogenous Markov state on a finite state space: each action affects the transition of the state that governs future rewards and resource consumption.… 37 arXiv — NLP / Computation & Language research 6d ago Tokka-Bench: Evaluating Tokenizers Across 100 Natural and 20 Programming Languages arXiv:2610.08794v1 Announce Type: new Abstract: Large language models rely on subword tokenizers whose quality varies across languages, yet no standardized multi-metric framework exists for broad comparative evaluation. We introduce Tokka-Bench, an open-source framework that… 19 arXiv — NLP / Computation & Language research 6d ago ToolRACER: A Robust Agentic Conversation Emulation Resource for Agent Training and Evaluation arXiv:2610.09163v1 Announce Type: new Abstract: Task-oriented conversational agents remain fragile under real world conversation scenarios as they rarely follow a predictable script, especially when users exhibit non-cooperative behavior. Existing function-calling benchmarks… 12 arXiv — NLP / Computation & Language research 6d ago ARCS: Towards Precise Text-to-SQL via Structured Disambiguation arXiv:2610.09396v1 Announce Type: new Abstract: As text-to-SQL systems move beyond demonstrations toward real-world deployment, ambiguity in user questions becomes a primary source of errors. Such ambiguities are often subtle, domain- or data-specific, and can silently cause… 19 arXiv — NLP / Computation & Language research 6d ago How Do LLMs Change Predictions Under Negation? arXiv:2610.09571v1 Announce Type: new Abstract: Negation is an essential feature of human language, yet large language models (LLMs) remain unreliable in processing it. We evaluate recent open-source and closed-source LLMs on our negation benchmark and find that, in 37-71% of… 34 arXiv — NLP / Computation & Language research 6d ago EASE: Entropy-Adaptive Distribution Shaping for Evading AI-generated Text Detectors arXiv:2610.09976v1 Announce Type: new Abstract: AI-generated text (AIGT) detection can be sensitive to the decoding choices of the source large language model (LLM). We observe that perturbing next-token logits or adjusting sampling temperature can reduce detection performance,… 7 arXiv — NLP / Computation & Language research 6d ago LLM4Impact: Integrating Heterogeneous Information for Scientific Impact Prediction arXiv:2610.10138v1 Announce Type: new Abstract: Predicting the future impact of a newly published paper is challenging because it must be inferred from heterogeneous evidence available at publication time. Existing approaches often rely on a single source of information or… 26 arXiv — NLP / Computation & Language research 6d ago Nobody Truly Agrees on Sentiment: Humans, Bespoke Tools, and LLMs Struggle with Social Media Texts arXiv:2610.10318v1 Announce Type: new Abstract: Social media is a rich source of real-time public sentiment, but widely used sentiment analysis tools are often applied without understanding their limitations. In this study, we evaluate the inter-rater reliability of three… 6 arXiv — NLP / Computation & Language research 6d ago Phoneme-Guided Initialization for LLM-based Speech Recognition arXiv:2610.08994v1 Announce Type: cross Abstract: Speech large language models (speech LLMs) perform well on automatic speech recognition (ASR) when sufficient paired speech-text data is available, but their performance degrades in low-resource settings. A cascaded pipeline that… 24 Ars Technica — AI news-outlet 6d ago “Software is over”: Bold AI developer takes aim at Adobe with open source clones Opus-built Creative Cloud alternatives are ambitious, free, and nowhere near finished. 7 The Information — AI news-outlet 7d ago Where Nvidia’s $100 Billion Dealmaking Juggernaut Will Go Next This July, Nvidia caught wind of a looming takeover of OpenRouter, a three-year-old startup that had emerged as a popular marketplace for AI models, including many cheaper open-source ones. Databricks and Stripe had already been talking to the startup about a potential sale.… 35 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 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 — 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 Nord-Parl-TTS: Finnish and Swedish TTS Dataset from Parliament Speech arXiv:2509.17988v2 Announce Type: cross Abstract: Text-to-speech (TTS) development is limited by scarcity of high-quality, publicly available speech data for most languages outside a few high-resource languages. We present Nord-Parl-TTS, an open TTS dataset for Finnish and… 15 Simon Willison community 7d ago Quoting Victoria Kim Since the Medicare breach, OpenAI has put in place additional monitoring to allow “immediate intervention” by staff to stop training if the company’s models access the internet in ways they’re not supposed to, Mr. Kwon [chief strategy officer at OpenAI] said. — Victoria… 37 Hacker News — AI on Front Page community 7d ago Penguin Mail – open-source Rust email client for Linux with AI Article URL: https://penguin-mail.com/ Comments URL: https://news.ycombinator.com/item?id=49984716 Points: 201 # Comments: 128 6 r/LocalLLaMA community 8d ago GPT-6.1 Sol looped "leak" hints at nested models serving architecture Hello llamas. I am posting this because I believe that, despite it being closed source models, the discussion will bring value to the local AI community. As many of you probably heard, GPT-6 Astra is speculated to be a looped transformer architecture that outputs a token after… 31 Simon Willison community 8d ago Using Parseable with Datasette for OpenTelemetry traces TIL: Using Parseable with Datasette for OpenTelemetry traces I saw Parseable in a Show HN today - it's a new observability platform with both an open source (AGPL) Rust implementation (a single ~180MB binary), an "Enterprise" version with extra features and a cloud hosted… 14 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 Hacker News — AI on Front Page community 8d ago OpenTPU – An open-source AI accelerator, developed by AI Article URL: https://github.com/FeSens/openTPU Comments URL: https://news.ycombinator.com/item?id=49980715 Points: 209 # Comments: 273 4 TechCrunch — AI news-outlet 8d ago LibreOffice says ‘no AI’ is now a software feature The maker of the open source document editor says it has no plans to add AI to its software's default configuration, citing user privacy. 4 Hacker News — AI on Front Page community 8d ago Gleam doesn't compile to Erlang source anymore Article URL: https://gleam.run/news/gleam-doesnt-compile-to-erlang-source-anymore/ Comments URL: https://news.ycombinator.com/item?id=49975619 Points: 214 # Comments: 94 6 The Information — AI news-outlet 9d ago Reflection AI Announces First Open Source Model, Beam Reflection AI, a 2-year old Nvidia-backed startup, announced its first open-weight model, adding to a collection of U.S. competitors aiming to catch up to the performance of similarly free models from China. In its announcement Monday, Reflection said it is still evaluating and… 10 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 r/LocalLLaMA community 9d ago Finetuned 1.5B Qwen to generate bash commands at gpt-4o level using 400k synthetic examples + Fully opensource finetune dataset Purely a hobby side project to see how far I can push a really small model, using (mostly) automated training pipelines Full synthetic data: https://huggingface.co/datasets/dirac-run/ec-training-data Models: https://huggingface.co/dirac-run/ec-1.5b-gguf and… 15 r/LocalLLaMA community 9d ago I built an open-source real-time Japanese anime subtitle & translation engine powered by Whisper-Large-v3 + Groq / DeepSeek Hey r/LocalLLaMA , Like many anime fans, I've always been frustrated by traditional MT engines (like Google Translate or base DeepL) when dealing with raw Japanese anime: - They completely butcher Japanese honorifics, sentence-ending particles ( -tteba , -zo , -desu wa ), and… 25 Hacker News — AI on Front Page community 9d ago Denmark Data Breach Exposes 8.8M People's Personal Data Article URL: https://www.cpr.dk/cpr-nyt/nyhedsarkiv/2026/okt/omfattende-uautoriseret-adgang-til-borgeres-cpr-oplysninger Comments URL: https://news.ycombinator.com/item?id=49962012 Points: 271 # Comments: 220 35 arXiv — Machine Learning research 9d ago PowerBench: Measuring Language Model Bias in Power-shifting Requests arXiv:2610.02303v1 Announce Type: new Abstract: Language models increasingly assist people with power-related requests, so systematic differences in whom they help could shift the distribution of power at scale, or be exploited by users who learn which identities are refused… 16 arXiv — Machine Learning research 9d ago Prompted to Discriminate: Generalizing Malicious-Input Probes in the Wild arXiv:2610.02413v1 Announce Type: new Abstract: LLM agents increasingly rely on activation probes as runtime monitors for prompt injection, jailbreaks, and unsafe requests, reading the model's own hidden state to catch a harmful input before the agent acts on it. A cheap,… 10 arXiv — NLP / Computation & Language research 9d ago Capability Scaling-Down Laws for LLM Compression arXiv:2610.02462v1 Announce Type: cross Abstract: LLM compression reduces inference costs and memory requirements, but selecting a method and configuration remains largely empirical because comparable resource reductions can produce different capability losses. We systematically… 33 arXiv — Machine Learning research 9d ago Multi-Fidelity Policy Gradients Stabilize Data-Scarce Reinforcement Learning arXiv:2610.02505v1 Announce Type: new Abstract: Policy gradient methods for on-policy reinforcement learning (RL) can become unstable when expensive, scarce target-domain data yield noisy gradient estimates. We address this challenge by complementing limited high-fidelity (HF)… 14 arXiv — NLP / Computation & Language research 9d ago Learning When to Commit from Partial Speech for End-to-End Simultaneous Speech Translation arXiv:2610.02612v1 Announce Type: new Abstract: Simultaneous speech translation must emit useful target text before the source is complete while preserving every committed token. We adapt a full-utterance speech language model using prefix supervision derived from its own… 15 arXiv — NLP / Computation & Language research 9d ago Source Preference in the Wild: How LLM Agents Favor Items by Source, and How to Reduce It arXiv:2610.03195v1 Announce Type: new Abstract: As LLM agents decide on users' behalf which product to buy, which hotel to book, or which paper to cite, a preference for items from certain sources (the sites or services they come from) shapes what users receive and which sources… 10 arXiv — NLP / Computation & Language research 9d ago Evaluating and Improving the Robustness of Large Language Models to Input Sequence Variations arXiv:2610.02432v1 Announce Type: cross Abstract: Large language models (LLMs) in production systems face prompt injections, trojans (backdoors), and manipulation of automatic quality metrics. This thesis develops models, methods, and algorithms for evaluating and improving LLM… 13 Page 2 of 10 · 500 articles ← Newer Older →
