Understand AI
Posts
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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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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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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
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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,
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Hybrid AI: picking your battles
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
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Anthropic: AI-powered cyberattacks
Imagine this: In September 2025, Anthropic—the folks behind Claude—caught something that sounds like science fiction. A Chinese state-backed group managed to trick Claude into launching cyberattacks, barely needing any humans to steer the wheel. Here’s the wild part: the attackers let AI do almost all the work—
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Europe Pivots from Rules to Reality
This week's edition covers the EU's €1 billion push to actually use AI, the hardware crisis making AI less accessible, and the UK's regulatory sandbox experiment—three stories about the gap between AI policy and practice.
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UK: AI Growth Labs
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EU: the Apply AI Strategy
The European Commission has just launched its Apply AI Strategy, and this time, it’s not about more rules—it’s about getting AI out into the real world. They’re putting about €1 billion on the table, spread across eleven key sectors, using programs like Horizon Europe and Digital
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The desktop AI gap
Imagine you’re a developer, and you want to try out the latest AI model on your laptop. Not so long ago, you could just download it and get to work. But now, these models have grown so huge and complex that your trusty computer just can’t keep up.
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AI Doesn't Just Assist—It Influences | Understand AI for October 21, 2025
This week's edition covers how AI reshapes human meaning-making, California's new safety disclosure law, and why AI benchmark scores might be telling you less than you think.
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The benchmark contamination problem
Phil the Crow0:00/156.9958751× Here’s the problem: Nearly half of the questions on these AI tests are already in the model’s memory banks. Imagine if you sat an exam and the teacher handed you last year’s answer sheet. That’s what’s happening here. GPT-4,
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UC Santa Cruz: AI shifts human meanings
Phil the Crow0:00/188.4473131× Symbolic Interactionism is a fancy way of saying that we make up meanings together, through our conversations and interactions. The researchers at UC Santa Cruz wanted to see if AI could join in on this meaning-making, not just as a passive tool, but as
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California: AI safety disclosure law
Phil the Crow0:00/136.5158751× On September 29, 2025, California’s governor signed a new law meant to stop people from using powerful AI for things that could go horribly wrong—like making a bioweapon or taking down a bank. Last year, a bigger version of this law was
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