AI Agents
AI agents are LLM-powered systems that don't just answer — they plan steps, call tools and drive a task to completion: writing code, searching the web, booking, analyzing. 2026 became the year of agents, from coding agents to autonomous researchers. This page gathers all our coverage of agentic AI: launches, protocols (MCP, A2A), reliability and real-world use.
JadePuffer: First Fully Autonomous AI-Driven Ransomware Attack
Researchers discovered a ransomware attack where an AI agent worked from start to finish without human involvement. A new level of cyber thr
SpaceXAI Released Grok 4.5 — Opus-Class Code Model
SpaceXAI presented Grok 4.5, Opus-class model trained with Cursor for coding and agentic tasks, priced at $2/$6 per million tokens.
Google Expands Managed Agents in Gemini API: Background Tasks and MCP
OpenAI Launched ChatGPT Work — Agent for Taking Actions in Applications
NVIDIA NemoClaw: AI Agents with Deny-by-Default and Human Approval for Sensitive Code
OpenAI Releases GPT-5.6 and ChatGPT Work: Agent for Multi-Stage Tasks
DeepSeek V3.2 Achieves 67% Accuracy on the ARC-AGI Abstract Reasoning Benchmark
Researchers showed how the open-source model DeepSeek V3.2 solves ARC-AGI-1 tasks with 67% accuracy without any special training, using two-
HALE Framework Combines LLMs and Large-Scale Epidemic Simulations
Researchers presented the HALE framework, which uses large language models to predict human decision-making in large-scale agent-based epide