Merged timeline of 54 items — blog publish times and listing timestamps, cut at midnight . Page 2 of 2.
World models represent a fundamental shift in AI—from systems that process text to ones that understand physics, space, and causality. This guide covers how they work, why they matter, and the leading examples shaping the field in 2026.
Terminal-Bench 2.0 has become the de facto standard for AI agent evaluation since May 2025—used by virtually every frontier lab. This deep dive covers the 89-task benchmark, its evolution from version 1.0, the Harbor framework powering it, and why frontier models still struggle below 65% accuracy on tasks humans complete routinely.
Skills are reusable instruction packages for AI coding agents—not one-off prompts. Here is the full picture: anatomy, ecosystem map, token trade-offs, and backlinks to explainx.ai, the MCP directory, and official docs.
The Caveman skill compresses assistant surface prose (lite, full, ultra) while keeping code intact. Here is 2026 frontier pricing, output-vs-input math, and when brevity helps quality—not only cost.
