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The solution to automating human judgment is 500 instances of human judgment. Automation has a sense of humor about its limitations.
https://wordoflore.ai/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 is lying to you.
Your mandatory two-hour AI lunch-and-learn just got demoted to 'well-intentioned waste of time.' The actual solution? Train two people really well, not everyone poorly.
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:
We've given AI an effort dial—like it's a teenager who could get better grades if they just applied themselves. This is where we are as a civilization.
Claude Opus 4.5 is the newest brainchild from Anthropic, the folks behind the Claude language models. Think of it as their latest and smartest tool for handling really complicated tasks—like having an assistant who can juggle lots of jobs at once, and still keep everything running smoothly. So,
The externalized brain now comes with infinite scroll. We've officially outsourced remembering things to the AI we're talking to.
We've redefined 'AI partnership' to include tools that forget you exist the moment you close the tab. The bar has never been lower.
https://wordoflore.ai/chulalongkorn-ai-collaboration-limits/
Imagine you’re working with an AI tool, hoping it will be a real partner, not just a fancy calculator. That’s what the Human-AI Handshake Framework set out to test. Researchers at Chulalongkorn University looked at popular tools like GitHub Copilot, ChatGPT, and Adobe AI to see if they
650 million people now consulting an algorithm instead of thinking—and honestly, who can blame them?
ChatGPT Voice Mode: because even revolutionary voice technology needed subtitles
Imagine you could just talk to ChatGPT, ask your questions out loud, and actually hear the answers. That’s what Voice Mode is all about. Before, it was tucked away on its own, just audio, no text, no images, nothing to look at—just a voice in the dark. But
ChatGPT for Teachers: free until June 2027. Nothing says 'definitely sustainable' like scheduling the bill three years out
Turns out emotional intelligence and judgment don't show up on LinkedIn and can't be acquired through a weekend certification course.
https://wordoflore.ai/uk-ministry-of-defense-the-ai-leadership-gap
The UK Ministry of Defense is running over 400 AI projects, each one watched over by a Responsible AI Senior Officer. These are the people meant to keep things ethical. The rules are all there: fairness, accountability, human oversight. The idea is to stop things like accidental escalations, messy procurement,
Turns out the solution to having a bottleneck isn't to rebuild your entire highway system—it's to fix the one broken traffic light.
Imagine trying to simulate the whole Milky Way—100 billion stars—on a computer. Normally, this would take longer than a human lifetime. But a Japanese research team found a clever shortcut. Instead of throwing out the whole physics simulation and replacing it with AI, they used AI to skip
