Loreloom: The Cartographer
Map the constellations of names, places, and organizations within any text. Navigate confidently through dense information landscapes with precision and clarity.
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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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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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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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