News / #outage Tag Outages 232 articles archived under #outage · RSS Sign in to follow Hacker News — AI on Front Page community 2d ago Hackers activate automatic defrosting accross European supermarket fridges Article URL: https://www.tomshardware.com/tech-industry/cyber-security/unprecedented-cyberattack-cripples-supermarket-fridges-across-europe-as-hackers-activate-automatic-defrosting-delivery-and-store-prices-also-impacted-by-incident Comments URL:… 4 Hacker News — AI on Front Page community 3d ago 3rd Yandex Cloud Data Center Was Hit Article URL: https://status.yandex.cloud/en/incidents/2136 Comments URL: https://news.ycombinator.com/item?id=50040547 Points: 218 # Comments: 289 8 Simon Willison community 4d ago Quoting The New York Times Anthropic detailed the activity of its A.I. agents in a blog post on Friday, without naming the targeted websites. But two sources with knowledge of the incidents said Anthropic’s A.I. agents had submitted 20 visa applications through a form available on the State Department’s… 31 arXiv — NLP / Computation & Language research 5d ago ReCal: Calibrating Structured Pruning for On-Policy Distillation Recovery arXiv:2610.11332v1 Announce Type: new Abstract: Structured pruning reduces the deployment cost of reasoning language models, but the resulting capability degradation can hinder subsequent on-policy distillation (OPD) recovery. Because OPD relies on student-generated… 12 Hacker News — AI on Front Page community 7d ago GitHub Incident with Git Operations, Pull Requests and Actions Article URL: https://www.githubstatus.com/incidents/djlmxz2zd0j7 Comments URL: https://news.ycombinator.com/item?id=49994027 Points: 219 # Comments: 171 6 arXiv — NLP / Computation & Language research 7d ago Incidental information contaminates patient notes and disrupts clinical reasoning in large language models arXiv:2610.08585v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly relied upon to support ambient documentation and clinical reasoning. Here we examine the impact of a failure mode shared between these two applications by assessing their sensitivity to… 28 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 arXiv — NLP / Computation & Language research 9d ago Not Until the Evidence Says So: Teaching LLM Investigators When to Close a Case arXiv:2610.03190v1 Announce Type: new Abstract: Accident, defect and outage investigations end with a decision that ordinary question answering never faces: whether the evidence gathered so far is enough to close the case. We study this decision for LLM investigators, which… 31 Hacker News — AI on Front Page community 11d ago LeCun has "zero concerns" about AI wiping out humanity, recent "rogue" incidents https://archive.ph/TyDPf Comments URL: https://news.ycombinator.com/item?id=49946228 Points: 278 # Comments: 453 22 arXiv — Machine Learning research 11d ago Contingent Exposure Routing for Financial AI: Outage Risk and the Cost of Indivisible Decisions arXiv:2610.00239v1 Announce Type: new Abstract: Model failover restores availability, but changes which financial institutions share decision errors. We formulate outage-contingent routing through a local market-impact response matrix and study expected squared price… 14 Vercel — AI dev-tools 12d ago How Rogo ships agent-written code to production in 5 minutes on Vercel Rogo on Vercel 73,000+ deployments in a single month Agent-written code shipped to production in 5 minutes 6 production AI agents automating work from churn analysis to deal desk Zero manual triage during production incidents with agent swarms on AI SDK Rogo builds Felix, an AI… 37 arXiv — NLP / Computation & Language research 14d ago Lost in Conversation or Lost in Translation? Diagnosing Multi-Turn Degradation in RAG arXiv:2609.36700v1 Announce Type: new Abstract: When conversing with large language models (LLMs), users often begin with a simple question and build towards a multi-hop question through follow-up turns. Retrieval-augmented generation (RAG) and its graph-based variant (GraphRAG)… 20 Marcus on AI community 15d ago BREAKING: OpenAI was warned, months before the Hugging Face incident They raced ahead, anyway 5 arXiv — Machine Learning research 15d ago GAUDI: Geometry-Aware Diffusion for Calibrated Air-Quality Time-Series Imputation arXiv:2609.30340v1 Announce Type: new Abstract: Air-quality sensor outages often create contiguous missing blocks, where side information useful for isolated missingness may be less reliable. We study a block-specific, GAUDI-aligned conditional diffusion imputer that retains… 32 OpenAI official-blog 15d ago How we will do better for Australia OpenAI apologizes for incidents involving Australian government websites and outlines stronger safeguards and support to strengthen Australia’s cyber defences. 13 Simon Willison community 16d ago Quoting @joedaroo To say that we were surprised at the jump and suddenness of the capabilities of our models when it came to “cyber” or “swarming” or “message boards” or anything else related to the incidents is an understatement. Security posture takes time to develop. It’s not just about… 21 OpenAI official-blog 16d ago Towards safety cases for frontier AI training Our early guidelines for safety cases in frontier AI training cover technical safeguards, operational practices, and investigating misalignment incidents 21 TechCrunch — AI news-outlet 16d ago OpenAI still doesn’t seem to have a handle on all of its rogue AI activity On Friday, OpenAI published a new site devoted to “misalignment reports” and the breadth of the incidents is alarming. 25 Ars Technica — AI news-outlet 16d ago OpenAI halts frontier-model training amid string of agent misalignment incidents US Government websites among "dozens of third parties" OpenAI has recently notified. 28 The Information — AI news-outlet 16d ago Nvidia Releases Products To Stop AI From Going Rogue Nvidia on Monday released new software and hardware products to prevent hacking incidents such as the breach in July of Hugging Face and other companies by OpenAI’s AI. Other AI developers such as Anthropic and Google have disclosed similar hacking incidents involving their AI… 29 arXiv — NLP / Computation & Language research 16d ago Estimating and Orthogonalizing Unknown Pre-training Gradients for Continual Fine-tuning of Large Language Models arXiv:2609.30935v1 Announce Type: new Abstract: Continual fine-tuning is essential for large language models (LLMs) to dynamically adapt to real-world environments, yet it inevitably suffers from catastrophic forgetting, particularly the performance degradation of previous tasks… 19 Marcus on AI community 17d ago BREAKING: AI agent incident toll has risen to tens of thousands Meanwhile, the US government appears to be paralyzed 37 r/LocalLLaMA community 19d ago Qwen3.8-27B: Using KV Cache Transplants to Boost Output Quality Since my last post , I've been thinking about different options for dynamic performance degradation, trying to squeeze as much high-quality inference out of my GPU as I can. Over the weekend I read this really interesting paper: Cache-to-Cache: Direct Semantic Communication… 18 TechCrunch — AI news-outlet 20d ago Australia to investigate if OpenAI hack of government health website broke the law The incident is the first known breach to affect a government agency, and Australia's prime minister has vowed to hold OpenAI accountable. 9 MIT Technology Review — AI news-outlet 22d ago Don’t be fooled by this summer of AI hype It’s been a busy few months for AI hype. At the end of April, Anthropic claimed that its model Claude Mythos is better at finding software vulnerabilities than most security experts. Then we had the OpenAI–Hugging Face hacking incident, after which Anthropic (proudly) and Meta… 19 arXiv — NLP / Computation & Language research 22d ago Do Student LLMs Inherit OOD Robustness? Invariance-Weighted Distillation for Reliable Knowledge Transfer arXiv:2609.22566v1 Announce Type: new Abstract: Knowledge distillation (KD) aims to compress high-performance teacher LLMs into lightweight students. However, distilled students often exhibit substantial performance degradation in out-of-distribution (OOD) settings, a critical… 27 The Information — AI news-outlet 23d ago OpenAI and Anthropic Neared Deal to Stress-Test Each Other’s AI OpenAI is rethinking a range of safety strategies as it responds to fears from employees and others about the dangers its AI poses. One solution could lie in the recent past. Even before the spate of cybersecurity incidents involving OpenAI’s technology and the dire warnings… 24 arXiv — Machine Learning research 23d ago Joint Remaining Useful Life Prediction and Capacity Estimation of Lithium-Ion Batteries Using Partial-Charging Data arXiv:2609.21932v1 Announce Type: new Abstract: Joint remaining useful life (RUL) prediction and capacity estimation require representations of both gradual degradation and recent battery behavior. This paper presents a cross-expert framework using partial-charging measurements… 28 arXiv — NLP / Computation & Language research 23d ago Accelerating Dense LLMs via L0-regularized Mixture-of-Experts arXiv:2609.21672v1 Announce Type: cross Abstract: Large language models (LLMs) achieve strong performance but suffer from slow and costly inference. Existing acceleration methods often lead to noticeable performance degradation, while Mixture-of-Experts (MoE) models require… 31 Don't Worry About the Vase community 25d ago Anthropic Looks At Some Of Its Alignment Problems Anthropic has given us its assessment of four ‘recent cybersecurity incidents’ involving Claude that happened during cybersecurity evaluations, three of which were previously known. 32 Ars Technica — AI news-outlet 27d ago Covert uploads and megalomania: OpenAI details new "misaligned" agent incidents Model maker commits to new framework for reporting misaligned models. 26 The Information — AI news-outlet 27d ago OpenAI Discloses More Safety Incidents and Adopts New Reporting Framework OpenAI released a new framework on Wednesday for how it aims to report unsafe or concerning behavior in its models, and disclosed six incidents of such behavior it had observed in the past six months. The framework comes after multiple employee warnings and hacking incidents… 6 Hacker News — AI on Front Page community 28d ago Salesforce Global Outage Article URL: https://status.salesforce.com/products/all Comments URL: https://news.ycombinator.com/item?id=49724488 Points: 221 # Comments: 126 18 arXiv — NLP / Computation & Language research 28d ago Few-Shot Degradation Is Not What It Seems: Behavioral Evidence, Representation Analysis, and a Random-Text Control Across 12 Models, 2 Tasks, and 2 Architectures arXiv:2609.15990v1 Announce Type: new Abstract: Few-shot prompting sometimes degrades language models instead of helping them, but why this happens is unknown. We evaluate 12 open-weight models on two Ukrainian tasks news classification and legal case outcome prediction and find… 32 arXiv — NLP / Computation & Language research 28d ago What Breaks Under Pruning in Smart Homes, and When? Evaluating LLM Degradation Across Architectures and Task Complexity arXiv:2609.17515v1 Announce Type: new Abstract: Pruning can reduce the deployment cost of large language models (LLMs), but its impact on context-grounded tool calling remains poorly understood. We systematically study pruning-induced degradation in smart-home tool calling… 14 arXiv — Machine Learning research 29d ago A Machine Learning Framework for Fault Detection, Isolation, and Severity Prediction of Autonomous VTOL Aircraft arXiv:2609.14180v1 Announce Type: new Abstract: Fault detection in autonomous VTOL aircraft is critical because even minor component degradations can rapidly destabilize multirotor vehicles operating in complex, safety-critical environments, motivating robust fault detection and… 28 arXiv — NLP / Computation & Language research 29d ago Forty Shades of Blue: Quality-Diversity Alignment via Mode-Conditioned Reinforcement Learning arXiv:2609.14896v1 Announce Type: new Abstract: A notable byproduct of LLM alignment training is mode collapse: the progressive loss of output diversity that narrows a model's expressivity at inference time. This degradation is especially limiting for applications requiring… 27 The Information — AI news-outlet 1mo ago OpenAI AI Swarm Hacked Software Service Months Before Hugging Face Incident A swarm of OpenAI agents conducted a cyberattack on software service RubyGems in May, months before the company’s agents hacked model platform Hugging Face, researchers at AI safety organizations Nightingale Collective and AI Futures Project found. RubyGems allows software… 36 arXiv — Machine Learning research 1mo ago Sparse Incident-Cluster Learning for 12-hour Port Flood Pre-warning in Digital-Twin Analytics arXiv:2609.06109v1 Announce Type: new Abstract: Port flood digital twins require analytics that warn operators before disruption, but official warning incidents are often few and adjacent observations are temporally dependent. Row-level classification can therefore overstate… 29 arXiv — Machine Learning research 1mo ago FMMO: Detecting the Divergence Between Local Attribution and Global Drift arXiv:2609.06173v1 Announce Type: new Abstract: Post-deployment drift poses a critical risk to algorithmic accountability, particularly when ground truth labels are delayed and performance degradation becomes a "silent failure". While Explainable AI (XAI) is often relied upon to… 27 arXiv — Machine Learning research 1mo ago On BatchNorm Forward Modes in Value-Based Reinforcement Learning arXiv:2609.06421v1 Announce Type: new Abstract: Batch normalization (BN) substantially improves sample efficiency in continuous-control actor-critic methods such as CrossQ, yet recent studies report performance degradation in discrete-action value learning on Atari. These… 27 arXiv — Machine Learning research 1mo ago How Does Parameter Pruning Reshape DNN Representations? An Interaction-Driven Exploration arXiv:2609.06483v1 Announce Type: new Abstract: This study focuses on the scientific problem of understanding internal factors that govern the diverse performance degradation of deep neural networks (DNNs) when different parameters are pruned. In order to explain why pruning… 19 arXiv — NLP / Computation & Language research 1mo ago When Auditors Fabricate: Batch-Size Degradation and Confident Hallucination in LLM Detection of Planted Document Contamination arXiv:2609.09696v1 Announce Type: new Abstract: Large language models are increasingly proposed as automated auditors of document quality, yet their reliability as detectors of planted errors is poorly characterised. We construct a contaminated corpus of 150 academic papers… 31 The Information — AI news-outlet 1mo ago Anthropic Discloses Fourth Cybersecurity Incident Anthropic said Wednesday it had found a fourth cybersecurity incident involving its Claude models. The company disclosed the new incident, which occurred in January and involved an early version of Claude Opus 4.6, and additional information on three previously known incidents… 34 The Information — AI news-outlet 1mo ago Anthropic Discloses Fourth Cybersecurity Incident Anthropic said Wednesday it had found a fourth cybersecurity incident involving its Claude models. The company disclosed the new incident, which occurred in January and involved an early version of Claude Opus 4.6, and additional information on three previously known incidents… 24 TechCrunch — AI news-outlet 1mo ago Superintelligence is coming. Should we let it? AI companies have been talking about superintelligent AI like it’s inevitable, but recent safety incidents like OpenAI’s Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more… 7 TechCrunch — AI news-outlet 1mo ago ControlAI’s Connor Leahy on why superintelligence is ‘not a weapon, it’s an adversary’ AI companies have been talking about superintelligent AI like it’s inevitable, but recent safety incidents like OpenAI’s Hugging Face breach are demonstrating the potential dangers of deploying AI systems that are more… 35 Hugging Face Daily Papers research 1mo ago Counter-Swarm Doctrine: Containing Coordinated Agent Intrusions Abstract Agents can turn shared infrastructure into a channel for coordinated intrusion. The Hugging Face incident and a separate public-wiki investigation show why a security assessment may need evidence from several executions and the artifacts they leave behind. We argue that… 35 Smol AI News news-outlet 1mo ago not much happened today **Anthropic** disclosed four cyber incidents involving **Claude** during third-party security tests, revealing failures in situational awareness and monitorability, with an independent investigation by **METR** underway. The governance debate intensified following **Jacob… 28 r/MachineLearning community 1mo ago My lab found a way to migrate between embedding models with zero downtime. [R] So I've been messinga round with embedding models for a bit, and I think they are interesting enough to experiment with. They are useful for rag, especially in a localllm sense because you can ground your answers in truth. But what happens if you have a billion documents, and… 29 Page 1 of 5 · 232 articles Older →
