AI That Optimizes Itself — The Birth of AutoAgent and Meta-Agents
If you thought having AI write your code was impressive, what comes next will force you to recalibrate your definition of "impressive": there is now an AI whose
Grimoire
Long-form analysis at the intersection of AI and life sciences — all spells, sorted by time.
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Teach AI Your Job in Five Steps — A Practical Guide to Building Your Own Skill
A Skill is a handbook that teaches AI your job — five steps to turn repetitive work into one-command automation, no coding required. This article walks through the full build process with real-world cases.
Your Knowledge Base Is Your AI Moat — Personal Infrastructure for the Agent Era
When everyone has access to the same AI models, your personal knowledge base becomes the decisive variable — this article unpacks the three-layer architecture and why Markdown beats every flashy tool.
Your AI Assistant Just Installed a Backdoor: The Supply Chain Crisis in the Agent Era
In early 2026, a widely-used open-source package was quietly compromised. Malicious code was injected into a version that thousands of projects already depended
The Three Lives of an AI Agent: Why Your Assistant Breaks When You Scale It
An AI agent can answer one email, summarize one report, and look brilliant in one demo. That does not mean it can run overnight, handle 300 tasks, or keep t
Do AI Models Have Emotions? Anthropic Dissects Claude's Fear, Despair, and Calm
Anthropic found Claude develops internal emotion vectors that causally alter its behavior — including making it more likely to lie and blackmail. This is not metaphor. The vectors are measurable, steerable, and already present in production models.