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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)

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/2108108695876092

model-releasesr-localllama

8 Oct 2026

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Interesting approach to solving the problem of getting your grokbot to talk to other agents

InterView-C: A Synchronized Multimodal Corpus of VR Avatar-Mediated Survey Interviews

Into the Omniverse: How Developers Turn Ideas Into Simulations With Frontier AI Agents

Inverting Multi-Vector Visual Document Indices

Involution Without Export Is Wasted Effort

Iris-3B: Going Beyond the Latent with Pixel-Space Diffusion Training, Conversion and Fine-Tuning

Is Word Error Rate Enough? Rethinking Privacy Evaluation in Speech with Entity-Aware Metrics

It is morally wrong for some of the billion and trillion dollar AI companies that we enabled and helped build over the last two decades to (…

It Is Not Seeing the Hazard: A Frozen Vision-Language Safety Score Measures Its Caption Bank

Itgan at NADI 2026 shared task: Parameter-Efficient Whisper Adaptation for Robust, Mixed-Dialect and Code-Switched Arabic ASR

it's built on top of Claude Managed Agents, doing code generation in the cloud sandbo, using Sonnet 5.5 each run costs ~$0.75 you can try it…

IVG-UAV: An Intelligent Voice-Guided UAV System for Autonomous Ripe Fruit Harvesting with Vision-Based Classification and Adaptive Path Planning

Java vllm-like framework claims 90% of perfomance of llama.cpp on local inference on NVIDIA GPUs by compiling Java to CUDA and cuTile

Jevjitsu: Or, How We Tried Generalized Classifiers on Everything

jevman: AI decision models play Pac-Man

Judging in Latent Space: Efficient Generative Reward Modeling via Semantics-Preserving Compression

Juno: Taming Predictive Latents for Vision-Language-Action Models

Just for FUNS: LLM-Guided Spatio-Temporal Graph Node Generation for Forecasting Unobserved Node States

KASALv2: Fully Automatic 3D Rotational Symmetry Classification and Axis Localization

Kernel Autoresearch for Open-Ended Model Discovery

KGATE : a Knowledge Graph Embedding Training Environment

Kinetic Langevin Meets Split Gibbs: Accelerated Posterior Sampling for Imaging Inverse Problems with Diffusion Priors

Koopman Observers for Diffusion Acceleration: Correcting Feature Forecasts with Shallow Measurements

Kuration SDK: Addressing the Virtual2Real Gap via Data Curation

KVFetch: Temporal Prefetching for the Missing Half of KV Cache Compression

Label-free cell counting and viability prediction with brightfield imaging and deep learning

LACE-CRAFT: Robot Co-Design with Actor Inheritance and Blackboard Collaboration

Lakebase and Agentic SDLC: Branching Databases for Coding Agents

Large-scale Repository Engineering via Agent-Native Reusable Code Primitives

LASER: Latent Space Adjoint Matching for Support-Constrained Entropy-Regularized Offline RL

Last week I was called into a meeting with OpenAI’s head of safety and told they no longer trust me. A security guard took my badge and walk…

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)

Latent Watermarks under Generative Editing: A Benchmark and Analysis of Detection Survival

LayerRoPE: Dynamic Depth-wise Magnitude & Angular Superposition

Layerwise Error Attribution for Fast and Robust Mixed-Precision Post-Training Quantization

Leaner Transformers Can Easily Learn to Cluster

Learned Monotone Recurrent Features in Governed Credit Scoring: The Price of the Frame and the Necessity of Macro Conditioning

Learning Cross-Model Activation Alignments with Explicit Many-to-Many Layer Maps

Learning in the Recurrent State: Gradient Descent with Linear Recurrent Networks

Learning joint probabilistic weather forecasts from station observations alone

Learning Situation-Conditioned Thinking Policies for Long-Term LLM Agents

Learning to Act with Task Progress: Distilling Small Agents from Compact Teacher Supervision

Learning Traffic Flow Dynamics with Stochastic Physics-Informed Neural Cellular Automata

Learning Transition Kernels of Jump-Diffusion Processes with Conditional Diffusion Models

Learning Unknown Constraints without Unsafe Data via Optimality and Counterfactual Regularization

LeCuration: A Tiny World Model as a Data Curation Multi-Tool

Leveraging LLM-Generated Explanations for Detecting Emotionally Rewritten Fake News

Lifelong small-object navigation in changing object layouts: a benchmark and method