Learn how to build a fully serverless pipeline that automatically collects Git metrics from GitHub and GitLab and visualizes them in interactive Amazon…
Coding Agents with an Obstacle-Aware Harness for Safe Robot Manipulation
arXiv:2609.20822v1 Announce Type: cross Abstract: Coding agents have emerged as a promising paradigm for robot manipulation: a language model writes the…
AI News Brief Hourly Summary 2026-09-19 03h : 17 posts
17 posts published in the last hour 00:32Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations 00:32Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights 00:32A…
Harm Laundering in GPT Models: Evidence That Gender Discrimination Is Transformed Rather Than Reduced Across Safety-Trained Generations
arXiv:2609.20779v1 Announce Type: cross Abstract: Safety evaluations for large language models rely on surface-form classifiers that report declining harm…
Semantic Action Graph: A Shared Representation for Agent Grounding and Human Interpretation of Sports Highlights
arXiv:2609.20768v1 Announce Type: cross Abstract: Generative agents are increasingly used to select and narrate video highlights, but they typically…
A shared agentic platform for Wood Mackenzie, on Amazon Bedrock AgentCore
Wood Mackenzie built APEX, a shared agentic AI platform on Amazon Bedrock AgentCore so every team can ship production agents without rebuilding runtime,…
Quantifying Overclaiming Propensity in Frontier LLM Agents
arXiv:2609.20812v1 Announce Type: cross Abstract: Frontier coding agents are increasingly trusted to work autonomously for long periods, yet an agent’s…
How MRH Trowe enabled secure self-service AI agents in financial services
Learn how MRH Trowe, one of Germany’s leading commercial and industrial insurance brokers, gave about 400 employees secure, self-service access to AI…
RetireOPD: Self-Retiring On-Policy Distillation for Agentic Reinforcement Learning
arXiv:2609.20784v1 Announce Type: cross Abstract: Multi-turn agents trained with reinforcement learning (RL) receive a single scalar reward per…
Selecting a vector store for Amazon Bedrock Knowledge Bases
Choosing the right vector store for your Amazon Bedrock Knowledge Bases RAG application affects performance and cost. This post compares Amazon OpenSearch…
GeoAAC: Geometry-Based Adaptive Action Chunking from Denoising Trajectories in VLA Policies
arXiv:2609.20776v1 Announce Type: cross Abstract: Action chunking is widely used for action generation and execution in Vision-Language-Action (VLA)…
Prediction-Powered Smoothing and Validation for Disaggregated AI Evaluation
arXiv:2609.20758v1 Announce Type: cross Abstract: Evaluating an AI system requires disaggregated assessment, as performance varies across domains such as…
Chronicle: Cut-Point Replay for Regression Testing of LLM Agents
arXiv:2609.20625v1 Announce Type: cross Abstract: Large language model responses are non-deterministic, so failures in LLM agents are hard to reproduce: a…
Implementing defense-in-depth authorization for MCP tools on Amazon Quick
Learn how to enforce defense-in-depth authorization for Model Context Protocol (MCP) tools on Amazon Quick. This walkthrough wires Microsoft Entra ID…
Large Language Models as Falsifiers for Cyber-Physical Systems
arXiv:2609.20752v1 Announce Type: cross Abstract: Falsification searches for counterexamples to formal specifications in cyber-physical systems (CPS).…
Anthropic’s first embedded evaluator is … Accenture?
Accenture is about to take on its most high-risk consulting engagement ever.
Don’t Mask the Environment: Observation Supervision Changes How Agents Explore Under RL
arXiv:2609.20715v1 Announce Type: cross Abstract: Agent trajectories record what an agent does and what happens next. Yet standard supervised fine-tuning…
Enhancing industrial safety AI with synthetic data on Amazon SageMaker AI
Learn how to build a synthetic data augmentation pipeline on Amazon SageMaker AI and Amazon Rekognition that generates photo-realistic, auto-labeled…
