Agentic AI

ACE (Agentic Context Engineering) is a framework that treats LLM contexts as evolving playbooks that accumulate and organize strategies over time This design prevents context collapse and addresses brevity bias by using incremental, modular updates guided by three specialized roles: a Generator, Reflector, and Curator that work together to extract insights and curate knowledge.

MSA or memory sparse attention, a new AI system that can remember 100 million tokens with less than 9% accuracy loss, current AI models forget everything after about 128,000 tokens.

NVIDIA's NemoClaw wraps OpenClaw AI agents with enterprise grade security kernel level sandboxing via Linux Security Modules, network allow lists, and file system restrictions

This study shows small AI + tools > Big AI. If they "think" too much they forget the rules. Skipping tools, spiraling into infinite loops, and outputting wrong answers.