2 AI stories explainx.ai reported on May 2, 2026, ranked by reader interest and grouped by topic. Each links to the full write-up with sources.
What shipped in Codex’s agent UI, how custom pets are packaged through OpenAI’s hatch-pet skill, and why a little dock-side animation can still be a serious product bet.
A practical tour of Sim—visual agent orchestration, vector-backed knowledge, managed Copilot for flow editing on self-hosted installs, and how it differs from harness-first tools like OpenClaw.
AI benchmarking in 2026 has reached a critical inflection point. Traditional benchmarks like MMLU and HellaSwag are saturated above 88% and 95%, while frontier models cluster within statistical noise. This comprehensive guide covers every major benchmark category—from language understanding to agent evaluation—the 37% lab-to-production gap, benchmark gaming vulnerabilities, and what actually matters for production AI systems.
Separating a viral screenshot from Anthropic’s published rules—conversation-ending for persistent abuse, account actions under the Usage Policy, and why “hurt the AI’s feelings” is the wrong mental model.
Two vendor postures on the same open-source agent stack: OpenAI leaning into subscription-backed access for OpenClaw, while Anthropic enforces first-party surfaces for subscription entitlements and bills third-party tools differently.
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.
ExplainX is a comprehensive hub for discovering and monetizing AI skills, agents, tools, and MCP servers. With over 10,000 indexed skills and 100,000 AI tools, it provides a ranked directory, community feedback, and res…
Postiz is an open-source, self-hosted social media scheduling tool that supports platforms like X, Bluesky, Mastodon, and Discord. It offers features for scheduling posts, measuring analytics, and team collaboration.
Multi-Agent LLM Financial Trading Framework.
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