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Nate's Library MCP

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The AI Bottleneck: Why Your Team Isn't Shipping. Here's the Fix. Sep 27, 2026 · 32:57 Scaling AI productivity requires fixing the system, not the engineer. Learn six principles—from making agents 'multiplayer' to removing obsolete processes—to build a 'faster factory' for AI-assisted development.

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I Gave Meta's Muse The Most Boring Job I Had. It Found $5,350 A Year. Sep 29, 2026 · 31:17 Meta's Muse is redefining AI by focusing on 'boring' agentic tasks—like finding forgotten subscriptions—proving that usefulness, not just intelligence, drives adoption. This shifts the power of commerce from retailers to the AI agent. Microsoft Compared OpenClaw To A Virus. Now It's Bringing It To Your Employer As Autopilot. Oct 2, 2026 · 26:26 Microsoft is deploying Autopilot, an always-on AI agent built on OpenClaw, across core workplace apps. The value lies in accessing proprietary data and executing ongoing assignments, requiring users to master defining objectives and context. The AI Paradox: 5 Human Skills That Are More Valuable Than Ever Oct 11, 2026 · 22:07 AI is increasing the value of human skills like Taste, Agency, Focus, Resourcefulness, and Follow-through. Learn how to leverage these skills to turn shelved projects into real impact.

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Are Your AI Agents Doing Real Work Or Productivity Theater? Here Are 4 Principles I Use. Oct 27, 2026 · 18:51 Are your AI agents creating real value or just 'productivity theater'? Learn 4 principles for managing AI agents in Claude and Codex to ensure your focus remains on high-leverage work, not endless, low-value tasks. Black October Isn't Just A PHP Bug. Attackers Want Your AI Keys. Oct 24, 2026 · 25:47 AI agents are accelerating cyberattacks, making stolen API keys and foundational vulnerabilities (PHP, eMudhra) critical risks. Learn how to audit your systems and build stronger defenses. I Read Goodfire's New Essay. AI May Be Far Easier To Understand Than We Thought. Oct 22, 2026 · 19:34 Goodfire's research suggests AI's internal workings are much more understandable than previously assumed. This interpretability breakthrough is a major green flag for AI safety.

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