A Visual Model Of Self-Attention: Transformers Work Differently Now

Early-2026 explainer reframes transformer attention: tokenized text becomes Q/K/V self-attention maps, not linear prediction.
IEEE

RL- and LLM-Based AI Solvers for the Game of Wordle/Fibble

Abstract: This paper investigates the performance of reinforcement learning (RL)-based AI agents and large language model (LLM)-based AI agents in tackling the word-guessing game Wordle and its ...
IEEE

LLM-Aided Prediction and RL-Based Optimization for Secure Communications in Low-Altitude Economy Networks

Abstract: Secure communications in low-altitude economy networks (LAENets) are critical because the broadcast nature of air-ground links, the strong line-of-sight (LoS) propagation, and the high ...
GitHub

CATArena: Engineering-Level Tournament Evaluation Platform for LLM-Driven Code Agents

CATArena (Code Agent Tournament Arena) is an open-ended environment where LLMs write executable code agents to battle each other and then learn from each other. CATArena is an engineering-level ...
GitHub

EdgeBox - The Local Desktop Sandbox for AI Agents

A fully-featured, GUI-powered local LLM Agent sandbox with complete support for the MCP protocol. Empower your Large Language Models (LLMs) with true "Computer Use" capabilities. EdgeBox is a powerful ...
TechCrunch

OpenAI says AI browsers may always be vulnerable to prompt injection attacks

Even as OpenAI works to harden its Atlas AI browser against cyberattacks, the company admits that prompt injections, a type of attack that manipulates AI agents to follow malicious instructions often ...
Seeking Alpha

The Biggest Threat To Nvidia Is Google, Broadcom's Q4 Just Proved It

Stephen Witt - the author of a biography on Nvidia CEO Jensen Huang said: "If Google ends up winning this AI race ... Nvidia will be in trouble." Broadcom's Q4 supports that statement. Google's AI ...