The UK government is hitting pause on AI regulation, opting to wait at least a year to bundle new rules into a bigger, more detailed bill. While the delay might frustrate critics worried about unchecked AI, ministers argue it’ll allow them to tackle everything from safety to copyright issues in one go.

Editor’s Note: AI’s moving fast, and governments are scrambling to keep up. The UK’s gamble is that waiting for a "comprehensive" law is better than rushing half-measures—but in the meantime, gaps in regulation could leave risks unaddressed. It’s a balancing act between speed and thoroughness, with big stakes for innovation and public trust.

As graduation season nears, Chinese universities are cracking down on AI-generated content in student theses by setting strict limits on the "AI rate"—the proportion of a paper produced by artificial intelligence. Some schools are even using this metric to approve or reject submissions outright. While the goal is to curb academic misconduct, critics in China are dismissing AI-detection tools as unreliable "superstition tech," arguing they can’t accurately distinguish human work from machine output.

Editor’s Note: This isn’t just about students trying to cheat—it’s a messy debate over how (or whether) to police AI’s role in education. If detection tools are flawed, banning AI content could backfire, punishing honest work while missing actual misconduct. But ignoring the issue risks letting chatbots replace critical thinking. China’s struggle mirrors a global dilemma: how to adapt rules for a tech that’s evolving faster than our ability to regulate it.