DeepSeek-V4.1-Flash-1017 is a minor update to DeepSeek-V4.1-Flash, delivering substantial improvements across reasoning, coding, agentic tasks, and visual benchmarks. Alongside these gains, the model reduces task execution time and output length, enabling users to complete…
Security concerns are rising after vulnerabilities were disclosed in PHP, the open-source JavaScript runtime Node.js and the open-source proxy LiteLLM, TechCrunch reported. Some countries increased website blocks after a critical PHP flaw was found. The U.S. National Security Agency urged organisations using PHP to update immediately or take systems offline. Node.js said it patched four high-risk issues. LiteLLM said attackers implanted malicious code in its software and advised users to…
OpenAI President’s Donation Raises Questions OpenAI President Greg Brockman is facing scrutiny over a potential gap between calls for artificial intelligence safeguards and his political funding. Brockman and his wife, Anna, donated $25 million to Leading the Future, a political group opposing regul
Executive SummaryThe domestic AI agent trends for 2026/10/21 show that autonomous cybersecurity verification, AI that directly operates business systems, voice-based business completion, and the devel
Multi-label few-shot learning (MLFSL) remains a significant challenge in medical image analysis (MIA). Current metric-based meta-learning methods face two critical limitations in MIA. First, conventional prototype generation often entangles irrelevant disease information,…
LLM-based multi-agent systems generate collaboration traces that record how agents plan tasks, verify intermediate results, and repair failures. Reusing these procedures requires preserving an action's prerequisites and the outputs needed by subsequent agents. Our empirical…
Accurate time series forecasting is critical across various domains, yet traditional ensemble methods often suffer from the disproportionate influence of extreme forecasts. We introduce the Conformal Adversarial Generative Ensemble (CAGE), a novel framework that combines…
Graph-enhanced multi-agent systems (G-MAS) coordinate large language model agents through communication graphs and role assignments, which determine how agents exchange information and divide responsibilities. However, final-score comparisons across systems combine differences…