Published: 2026-07-02
Analysis & perspective
Ornith 9B Local Coding Test: 9B vs 35B Agentic Model on a Mac Mini
Archestra + Ollama: Sandbox and Block What Your Local AI Agents Can Do
OpenJarvis + Ollama: A Local AI Agent That Tracks Watts Per Query
4 Claude Code Upgrades That Make It Actually Make You Money
The 'Loop of Loops': A Better Mental Model for AI Agents (analysis, not a how-to)
How a Former NYU Professor Built a 34-Agent Team With Claude Code (analysis, not a how-to)
Analysis & perspective
Who Owns Your AI Agent? The Fastest Way to Make One Dangerous
In this short take, analyst Nate B Jones argues the fastest way to make an AI agent dangerous is to let everyone use it while no one owns it. Once an agent can read files, draft messages, or change code, a specific person needs to be accountable for it — not philosophically or on an org chart, but operationally. It’s a pointed reminder to assign a clear, responsible owner before you widen agent access. For the practical side of this, see our cross-platform security center.
Watch on YouTube → · ← Back to News
More OpenClaw & Claude Code news
Ornith 9B Local Coding Test: 9B vs 35B Agentic Model on a Mac Mini
Archestra + Ollama: Sandbox and Block What Your Local AI Agents Can Do
OpenJarvis + Ollama: A Local AI Agent That Tracks Watts Per Query
4 Claude Code Upgrades That Make It Actually Make You Money
The 'Loop of Loops': A Better Mental Model for AI Agents (analysis, not a how-to)
How a Former NYU Professor Built a 34-Agent Team With Claude Code (analysis, not a how-to)