A selection of world thoughts – about AI – for global citizens.
What are the global perspectives on AI? Here, you will find a selection of articles from top newspapers, research publications, and leading magazines from around the world, exploring AI’s impact on language, culture, geopolitics, and economies. Our collection of local sources helps you understand the global landscape and navigate change through innovative ideas, keeping you informed about what’s relevant in this constantly evolving field.
Last Month’s Most Read Articles
“Save Our Mother Tongue”: Online Repression and Erasure of Mongolian Culture in China
In Northern China, a community of over 6 million Mongolians is being prevented from using its own language—largely through digital technologies. Over the years, nearly 89% of known Mongolian cultural websites have been censored or banned. This report draws on two years of on- and off-site work to uncover what cultural preservation looks like when it is pushed to the digital margins of our world.
Read the full report on Pen
King of Cannibal Island
Every major technological shift follows a familiar pattern: A real innovation appears, capital floods in, speculation blurs the line between the possible and the impossible… and a bubble forms. Today, AI sits squarely in that tradition. Trillions of dollars are concentrated in a handful of firms, valuations reinforce one another, and investment continues to surge. This piece traces how we arrived at the AI bubble—and asks the more difficult question of what remains once the speculation fades.
Read the full article on London Review of Books
New Plan to Bolster Chinese Language, Preserve Culture
China has unveiled an ambitious plan to safeguard and promote its language and cultural heritage by 2035. The strategy aims to boost literacy, preserve ancient scripts, and strengthen national identity through education, digital tools, and international programs. From schools to global initiatives, the plan seeks to make Chinese language and culture a living, unifying force for all citizens.
Read the full article on China Daily
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Why Doesn’t North America Speak French?
Why does most of North America speak English, not French? The answer isn’t just war—it’s numbers, strategy, and long-forgotten choices. In 1750, French territory was vast, but British colonies outnumbered them 20 to 1. This data-driven dive uses maps to show how a powerful French presence vanished in just 12 years, and why language—and history—turned out the way they did. A fascinating look at the roots of empire, demographics, and the long shadow of colonial power.
Read the full article Uncharted Territories
What Happened When I Tried to Replace Myself with ChatGPT in My English Classroom
What happens when students get to decide if AI should replace their writing teacher? In this thought-provoking essay, an English professor turns her classroom into a live experiment, letting 72 students put ChatGPT to the test. The results reveal not a generation of cheaters, but of curious, critical readers—capable of spotting AI’s blandness, quirks, and occasional brilliance. Part cautionary tale, part optimistic vision, it’s a fresh look at how humans and machines might learn to write—together.
Read the full essay here
AI Is Spreading Old Stereotypes to New Languages and Cultures
As generative AI expands across languages and cultures, so do the risks of it reinforcing harmful stereotypes. From English-centric evaluations to subtle biases embedded in training data, researcher Margaret Mitchell and the SHADES project are rethinking how we measure and mitigate bias. Their work highlights a growing need for multilingual, culturally aware approaches to AI development—because bias isn’t just a technical glitch; it’s a global challenge.
Read the full article on Wired
People Are Using AI Chatbots to Guide Their Psychedelic Trips
AI is reshaping psychedelic therapy—offering affordable, always-on trip guidance through chatbots and apps that support users during powerful, mind-altering journeys. While some find freedom and healing with AI “tripsitters,” experts warn these emotionless machines risk misguiding vulnerable users during intense experiences. As psychedelics and AI collide, a new frontier emerges: can bots truly replace human therapists, or are we stepping into a thrilling yet risky future where digital minds guide our deepest transformations?
Read the full article on Wired
Global warming and heat extremes to enhance inflationary pressures
This groundbreaking study reveals how weather fluctuations—temperature swings, precipitation changes, and more—directly influence inflation across 121 countries. Using high-resolution climate and economic data, researchers uncover complex seasonal and regional effects, showing how climate change could destabilize prices and threaten economic and political stability worldwide. By linking past weather impacts to future climate projections, this work offers vital guidance for policymakers aiming to navigate inflation risks in an increasingly unpredictable climate future.
Read the full study on Nature
How People Around the World View AI
How do people around the world experience AI? From language models to its spread and culturally rooted biases, attitudes vary widely. A 2025 survey uncovers trends, differences, and surprising similarities across regions in trust, awareness, and everyday use of these technologies—offering a revealing look at how AI is shaping lives worldwide.
Read the full report on Pew Research Center
Tracing the thoughts of a large language model
What’s really going on inside an AI’s “mind”? Anthropic built tools to peek under the hood of Claude—and found it plans rhymes, thinks across languages, and sometimes hallucinates by mistake. From hidden circuits to surprising jailbreak behavior, this is the closest we’ve come to dissecting how a model really thinks.
Read the full paper on Anthropic
Tracing the thoughts of a large language mode
What’s really going on inside an AI’s “mind”? Anthropic built tools to peek under the hood of Claude—and found it plans rhymes, thinks across languages, and sometimes hallucinates by mistake. From hidden circuits to surprising jailbreak behavior, this is the closest we’ve come to dissecting how a model really thinks.
Read the full paper on Anthropic
BEYOND Expo 2025: Alibaba Cloud founder Jack Wang wants to take AI to space
At OLTRE Expo 2025, Alibaba Cloud’s Jack Wang unveiled an audacious vision: AI-powered satellites transforming space into the next frontier of computing. With the “Three-Body Computing Constellation,” Wang plans 100 satellites by 2027 to process data directly in orbit—no longer just for communication or GPS. Beyond buzzwords like AGI, this is AI made useful at cosmic scale. It’s a call for global collaboration and a rethinking of computing—not as hardware, but as an ever-expanding force across the universe.
Read the full article on Technodechina
The Architects of AI Are TIME’s 2025 Person of the Year
When TIME names Big Tech leaders among its People of the Year, controversy and polarization are all but guaranteed. But as this long read reveals, the spotlight on this group has less to do with individual contributions and more with the fact that AI was the engine behind many of the year’s defining stories. In a moment when the news cycle moved at a furious pace, this piece offers a sharp and necessary retrospective—one that cuts through the noise to trace AI’s ripple effects across the economy, energy, and geopolitics. A must-read to make sense of the year that was.
Read the full article on Time
Can one person build a billion-dollar company now with AI agents?
Can a billion-dollar business be built with almost no staff? Some say yes—if your cofounders are AI agents. This article dives into the bold vision of solo entrepreneurs leveraging AI, cloud platforms, and smart automation to scale startups with minimal human input. While some experts see huge potential, others warn: in sectors like healthcare or finance, regulation and trust still demand the human touch. Is the era of the one-person AI empire arriving—or is it just a tech dream?
Read the full article on ZDNet
How OpenAI Uses Complex and Circular Deals to Fuel Its Multibillion-Dollar Rise
Sam Altman argues that every technological revolution hinges not just on breakthroughs, but on how they’re financed. OpenAI is testing that thesis with a web of unconventional, billion-dollar arrangements: investors who see their money loop back to them, partners building data centers they’ll later rent out, chipmakers doubling as shareholders. It’s a bold architecture — perhaps necessary, perhaps fragile — and it raises a sharper question: how long can this financial design hold?
Read the full article on the New York Times
