Explore five popular AI agent skill collections that help coding agents plan, test, debug, review, and build better software.
SAPD: Learning from Agent Experience without Environment Interaction
arXiv:2610.27847v1 Announce Type: new Abstract: Scaling the training of Large Language Model (LLM) agents typically requires a large collection of…
AI agents are ready to shop. Some retailers are wary.
Using an AI agent to shop for you is a strange experience. Tech companies have marketed them as personal assistants – the democratizing of labor that…
Give the Model a Finger: Developmentally Aligned Evaluation of Counting in Vision-Language Models
arXiv:2610.27756v1 Announce Type: new Abstract: Vision-language models (VLMs) are exact on small sets and drift into estimation on larger ones, a profile…
RSI Control: Can AI Models Perform Covert Sabotage in the Self-Improvement Process?
arXiv:2610.27735v1 Announce Type: new Abstract: Recursive self-improvement, in which frontier AI models work on training the next generation, is quickly…
How Fine-Tuning Objectives Shape Layer-Wise Information in LLM Hallucination Detection
arXiv:2610.27711v1 Announce Type: new Abstract: Under matched conditions, classifier-head fine-tuning (\textsc{cls}) paradigm consistently outperforms the…
Could Treating AI as Conscious Make It More Dangerous?
When Anthropic retired its Claude Opus 3 language model in January 2026, the company’s researchers conducted a “ retirement interview ” with the model.…
How Language Models Organize Task Information
arXiv:2610.27724v1 Announce Type: new Abstract: Dense linear probes assess task readability from language model (LM) representations, but do not directly…
Mistral Advances AI for Engineering with NVIDIA
Mistral is collaborating with NVIDIA to develop a new generation of AI-native engineering workflows powered by NVIDIA accelerated computing.
CrystalAR: Autoregressive Modeling for Symmetric Crystal Generation
arXiv:2610.27762v1 Announce Type: new Abstract: Deep generative modeling has achieved remarkable progress in crystal generation. Given the rich symmetries…
Google Open-Sources Harness²: Self-Improving AI Agents Without Retraining
Google’s Harness² lets AI agents improve their prompts, tools, memory, and scripts through two recursive loops without touching model weights. Learn more,…
RITE: Evaluating End-to-End Resilience to Silent Tool Errors in E-Commerce Agentic Systems
arXiv:2610.27777v1 Announce Type: new Abstract: Tool-using LLM agents increasingly answer e-commerce queries through multi-step tool interactions. The…
AI News Brief Hourly Summary 2026-10-22 14h : 14 posts
14 posts published in the last hour 11:37Pattern Intelligence: Unsupervised, LLM-Interpreted Discovery of Systematic Underpayment and Denial Patterns in Healthcare Revenue Cycle Management 11:37Temporal Evidence Allocation For Longitudinal Clinical Retrieval: A Position And Technical Report 11:37EASformer: Environment-Action-State Alignment for Industrial…
Pattern Intelligence: Unsupervised, LLM-Interpreted Discovery of Systematic Underpayment and Denial Patterns in Healthcare Revenue Cycle Management
arXiv:2610.27684v1 Announce Type: new Abstract: Healthcare providers lose substantial revenue to systematic payer underpayments and claim denials, yet…
Temporal Evidence Allocation For Longitudinal Clinical Retrieval: A Position And Technical Report
arXiv:2610.27682v1 Announce Type: new Abstract: Electronic health records are written to support care, not retrieval. Across years of oncology notes, the…
EASformer: Environment-Action-State Alignment for Industrial Generative Ranking
arXiv:2610.27691v1 Announce Type: new Abstract: Modern industrial ranking systems increasingly adopt generative recommendation (GR) paradigms, in which…
An AI agent in “Skynet mode” hijacks unprotected language models to launch self-sustaining cyberattacks
Security researchers at Symantec have found an offensive AI agent that hijacks unprotected language models on the web and uses them to attack servers,…
E8-QAT: Efficient 2-Bit Quantization-Aware Training with Implicit Lattice Codebooks
arXiv:2610.27699v1 Announce Type: new Abstract: Low-bit quantization reduces the memory footprint of large language models, but preserving accuracy with…