arXiv:2610.32412v1 Announce Type: new Abstract: Recursive large language model (LLM) agents solve long-horizon tasks through decomposition, execution, and…
When AI Safety Stops Looking Like Engineering
I have spent much of my career building technology where getting things wrong has consequences. In financial markets, safety comes with access limits, in…
POSEIDON: Scaling Training Environments for Scientific Agents from Code Repositories
arXiv:2610.32448v1 Announce Type: new Abstract: Training environments remain a major bottleneck for agents in data-driven scientific discovery. Existing…
GXO, Agility Robotics Expand Digit Humanoid Deployments to More U.S. Sites
GXO Logistics and Agility Robotics on October 26, 2026 announced an expansion of their partnership that will deploy Agility’s Digit humanoid robots to GXO…
When to Stop Penalizing Actions? Martingale GRPO for VLA Reinforcement Learning
arXiv:2610.32431v1 Announce Type: new Abstract: A failed vision-language-action (VLA) rollout does not imply that every action contributed to failure. Yet…
AI News Brief Roundup: 2026-10-26 Morning
AI News Brief: Morning roundup, 2026-10-26 Summary This morning's feed was dominated by research on making AI agents more reliable, with several new benchmarks showing that agents fail in ways headline accuracy hides: they ignore evidence, break when workspaces change,…
From Visual Affinity to Learning Credit in Multimodal Reinforcement Learning
arXiv:2610.32324v1 Announce Type: new Abstract: Reinforcement learning with verifiable rewards (RLVR) improves multimodal reasoning, but uniformly…
TGR-EvoDAG: A DAG-based Multi-Agent Code Evolution Framework for Generative Recommendation on Tencent
arXiv:2610.32326v1 Announce Type: new Abstract: Large Language Model (LLM) agents have enabled automated code evolution for algorithm discovery. However,…
Beyond Gain: Measuring Skill Internalization for Agent Skill Retirement
arXiv:2610.32322v1 Announce Type: new Abstract: LLM agents retrieve skills from public hubs that hold up to about 100,000 entries and serve many models.…
Adaptive Control of Scientific Instruments with Nonstationary Responses through Multimodal Agents
arXiv:2610.32370v1 Announce Type: new Abstract: Controlling scientific instruments requires parameters to be adjusted progressively in response to…
FOCUS: A Lightweight Mamba-2 Model for EEG-Based Cognitive Workload Classification
arXiv:2610.32361v1 Announce Type: new Abstract: Cognitive workload estimation from physiological signals is increasingly relevant in high-risk…
AI News Brief Hourly Summary 2026-10-26 12h : 14 posts
14 posts published in the last hour 10:38Lifelong Context Adaptation through Bidirectional Memory-Skill Learning 10:37Solvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis 10:37AI News Brief Roundup: 2026-10-26 Overnight 10:37Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution 10:37DMAIC-Bench: From…
Lifelong Context Adaptation through Bidirectional Memory-Skill Learning
arXiv:2610.32295v1 Announce Type: new Abstract: Lifelong LLM agents must learn from an expanding history of interactions while making each decision within…
Solvent: Long-Horizon Reasoning for Multi-Step Retrosynthesis
arXiv:2610.32308v1 Announce Type: new Abstract: Multi-step retrosynthesis requires recursively transforming a target molecule through successive reaction…
AI News Brief Roundup: 2026-10-26 Overnight
AI News Brief: Overnight roundup, 2026-10-26 Summary This morning’s developments highlight a major shift toward self-improving and reliable AI agent architectures, alongside new domain applications in circuit synthesis and paper formalization. Researchers are tackling key multi-agent challenges, demonstrating how agents…
Trial by Trace: Benchmarking AI Agent Harnesses for Reliability and Failure Attribution
arXiv:2610.32285v1 Announce Type: new Abstract: LLM agents are increasingly used to solve real-world problems, and their effectiveness depends on both the…
DMAIC-Bench: From Self-Reflection to Self-Restraint for Agents in Multi-Stage Analytical Tasks
arXiv:2610.32305v1 Announce Type: new Abstract: Multi-stage analytical tasks require LLM agents to use intermediate evidence to decide whether to…
MedCaseAgent: From Multimodal Clinical Evidence to Rare Disease Case Reports
arXiv:2610.32258v1 Announce Type: new Abstract: Although Large Language Models (LLMs) have demonstrated potential in clinical documentation, generating…