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In Anthropic CEO Dario Amodei’s recent essay on advocating for the slowdown of AI, he turns to the concept of “embedded evaluators” as one way to moderate the risks associated with this powerful technology. But what is an embedded evaluator? And would it work? HKS professor and computer scientist Stephen Casper explains what evaluators aim to do, what transparency they need, and what real accountability looks like: “They need access to exactly the set of things that can help them understand what
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MCP: how one person runs the jobs a whole team used to do MCP is how your AI connects to your real stack — and it's one of four pieces. I run my business on all four. 1 — YOUR TOOLS. Your AI gets connected to your real stack: email, CRM, marketing platform, files. There's a standard way to do this now — it's called MCP — and connecting one takes minutes. Log in, grant access, done. From then on your AI can read and write in that tool the way an employee with a login would. 2 — YOUR SECOND BRAIN.
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