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AI can read your mind, but you can't read its mind.
Collaborative research by OpenAI, DeepMind, Anthropic, and Meta reveals an illusion of transparency in reasoning models.NewsletterWhen AI Chooses Who Lives (and Who Dies): The Modern Trolley Problem
The trolley dilemma in the age of AI: when machines have to make ethical decisions, is human judgment really always superior? The debate is still open. Why the ethics of algorithms could be better than human ethics (or maybe not).NewsletterAI Amplifies Excellence: Why the Best Become Unbeatable (And How to Catch Up)
Scientific research reveals that modern AI represents a more democratic and sustainable version of the cognitive enhancement imagined in "Limitless." But there is an important twist: just as the NZT-48 in the film worked best on subjects who were already intelligent, AI amplifies the abilities of those who know how to use it strategically.NewsletterAI in Education: Don't Panic, We Need Facts
Sensational headlines and questionable methodologies are distorting the debate on artificial intelligence in education. The question is not whether AI will transform education, but how we can guide this transformation responsibly. The answer lies in rigorous science, not sensational headlines.NewsletterCloud Wars 2025: The New Frontier of AI in Cloud Computing
The battle between AWS, Microsoft Azure, and Google Cloud is turning into a race for artificial intelligence that is redefining the global technology market.NewsletterBrain Wars: Altman vs. Musk in the Race for Neural Interfaces
The clash between the two tech titans shifts from software to neural hardware.NewsletterPublishing and AI: When robot journalists have Indian passports
The Great Deception of Content Farms: Are Human Workers Hiding Behind AI?NewsletterThe Glass Bead Game
A critical analysis of modern algorithms which, as in Hermann Hesse's work, get lost in complexity and forget humanity. A revolutionary metaphor: when AI risks losing humanity in the labyrinth of algorithms.Page 1 of 3