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
Mind Captioning: The Science of Translating Thoughts Into Text
Imagine watching a video — or simply remembering one — and a computer turning your silent thoughts into fluid, descriptive text. That’s the promise of a new “mind captioning” technique that translates brain activity into language without relying on the brain’s language network. By aligning fMRI signals with deep-model semantic features, researchers generated vivid reconstructions of what people saw and recalled, hinting at a future where even unspoken thoughts can find a voice.
Read the full article on Science Advances
How AI Could Enable Global Collaboration in Cardiology
Medical AI doesn’t fail because of a lack of intelligence — it fails because knowledge is fragmented. Hospitals, countries, and research centers each see only a small part of the picture. In this interview, Sandy Engelhardt explains how Physical AI and federated learning are changing that reality. Instead of moving sensitive patient data, AI models learn directly from diverse clinical environments, respecting privacy while capturing global patterns. By treating medical data like a language with many dialects, AI becomes a translator — connecting insights across institutions and unlocking clinical knowledge no single dataset could reveal.
Read the full interview on Imminent
In a First, AI Models Analyze Language As Well As a Human Expert
Can machines truly reason about language like humans do? Linguist Noam Chomsky argued they can’t—that AI merely mimics speech without understanding. But researchers at UC Berkeley put this to the test, challenging language models with invented languages, recursive sentences, and ambiguous phrases. Surprisingly, OpenAI’s o1 model performed like a graduate linguistics student. As one researcher admits, “We’re less unique than we previously thought.” The line between human and artificial intelligence is blurring—fast.
Read the full article on Quanta Magazine
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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
Did Baby Talk Give Rise to Language?
That high-pitched “who’s a cute baby?” isn’t just adorable—it might explain why humans talk and apes don’t. New research shows we speak to infants at rates hundreds of times higher than apes do with their young. This constant linguistic bath, from exaggerated syllables to playful repetition, appears to be our species’ secret weapon for developing complex language. While ape babies pick up simple calls by overhearing adults, human infants get a crash course in communication from day one—turning our species into the planet’s most articulate primates.
Read the full article on New York Times
How I’ve Invented a Language with AI
This essay chronicles the birth of Floranør—a wholly invented language co-created with ChatGPT in a single, continuous conversation. From the first imagined word to a full grammar, dictionary, and cultural framework, the project pushed the creative limits of human–AI collaboration. Blending poetic intention, linguistic rigor, and a non-violent ethos, Floranør became not just a code for communication, but a living system. It is at once an artistic act, a political statement, and an experiment in designing language itself.
Read the full essay here
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
A.I. Is Homogenizing Our Thoughts
New research shows that relying on tools like ChatGPT doesn’t just change what we produce—it changes how our brains work. Studies from MIT and Cornell reveal users exhibit reduced creativity, weaker memory retention, and startlingly uniform outputs. Essays converge on bland consensus, cultural nuances vanish, and even personal ownership of ideas fades. As AI reshapes cognition, we’re left wondering: At what point does “assistance” become intellectual surrender?
Read the full article on New Yorker
The real cost of AI is being paid in deserts far from Silicon Valley
AI runs on lithium—but at what cost? In Chile’s Atacama Desert, Indigenous communities are fighting back against copper and lithium mining that fuels our tech boom. This powerful story, told through activist Sonia Ramos, exposes the human and environmental toll: poisoned water, rising cancer rates, and vanishing livelihoods. As ancestral land is sacrificed for AI progress, local resistance grows—demanding rights, recognition, and sustainable alternatives. A must-read on the hidden costs of innovation.
Read the full article on Rest of World
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
Agent-based computing is outgrowing the web as we know it
The web as we know it is about to split. AI agents like ChatGPT and Claude are shifting from passive assistants to active operators—making decisions, executing tasks, and reshaping the very structure of the Internet. This article explores a future where machine-readable layers, not human interfaces, power the digital economy. It’s a profound shift: from designing for users to optimizing for AI. Those who adapt fast may gain the edge in a web increasingly built for and by machines.
Read the full article on Venture Beat
We Need to Talk About AI’s Impact on Public Health
As AI advances, so must our approach to sustainability. Massive data centers powering AI could soon consume up to 12% of U.S. electricity and strain water and air resources. But there’s hope: new strategies focus on smarter energy timing, cleaner fuel, and public health as a key metric. By shifting how and when AI systems run, we can cut pollution and protect communities—without slowing progress. Discover how innovation can serve both tech and the planet.
Read the full article on IEEE Spectrum
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
Call Center Workers Are Tired of Being Mistaken for AI
AI is blurring the line between humans and machines in call centers, with agents frequently facing angry customers who doubt they’re real people. This eye-opening article explores the surreal reality of workers constantly proving their humanity amid scripted responses, AI voice technology, and growing customer frustration.
Read the full article on Bloomberg
How Apple tied its fortunes to China
In 2007, Nokia ruled mobile. Then Apple quietly rewired the game — not just with design, but with a supply chain so advanced it shocked industry veterans. Tim Cook didn’t just outsource to China — he embedded Apple into its industrial core, shaping a production ecosystem so sophisticated, no rival could catch up. Today, that edge is Apple’s vulnerability. As geopolitics shift, can the world’s most valuable company untangle itself from the machine it helped build?
Read the full article on Financial Times
