Framework Reveals How to Evaluate AI Explanations That Actually Help

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• Weekly Edition · Understand AI · Dec 23 · 9 min

  Turns out, 'AI for everyone' was not the winning move

  More AI everywhere doesn’t mean better results. Small teams of AI experts beat mass licenses. Attackers now use AI to run cybercrime at machine speed. Leaders can’t keep up. Tools still forget us. The winners? Focused expertise and hybrid AI, not AI everywhere.

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• Build AI · Dec 11 · 1 min

  LLM-as-a-judge: the measurement problem

  You've built something and you need to know if it works. So you do what's sensible—you ask an LLM to grade it. Factual accuracy, code quality, agent outputs. The machine judges the machine, and you get a number you can act on. Except that number

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• Understand AI · Dec 10 · 2 min

  Tsinghua: focused AI expertise

  Imagine you have a bunch of teams, some with AI, some without, and some where everyone gets their own AI. Researchers ran a big experiment with over 400 people to see what actually happens when you mix and match humans and AI in different ways. Here’s what they found:

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