There’s a precise moment when you stop being nobody. Online Safety Act, Chat Control, eIDAS, KOSA: governments with incompatible traditions arriving at identical solutions. Universal scanning, mandatory identity, end of anonymity. The pretext is one. The infrastructure serves another.
Machine learning is the math of prediction shaping hiring, credit, and surveillance. Models learn from data—and its bias—turning inequality into automated outcomes. As markets race and EU rules land, the real question remains: who sets the metrics, and for whose benefit? Not everything fits metrics.
Ever thought about what happens in the second between opening the app and seeing the first post? In that fraction of time, an act of power more sophisticated than any censorship unfolds. It’s not surveillance. It’s predictive architecture. And architecture always wins against individual will.
We live inside sealed algorithmic bubbles that engineer emotion, identity and belief. Legacy journalism collapses; creators and influencers occupy the information space. Truth is no longer what can be proven, it’s what the platform amplifies — whatever keeps you scrolling, angry, loyal, predictable.
Calling AI “neutral” is a polite cover for political and industrial control. Models reflect human choices and media biases. Without public compute and auditability, we surrender our culture to corporate narratives. Europe must respond with law, infrastructure, and transparency.
What is AGI, really? Not a single brain but a distributed system emerging from hardware, software, and networks. From LLM coherence to embodied mind: why the AI “body” matters, how to allocate attention, and govern power, data, and protocols responsibly.
A journey beyond the hype of LLMs and AGI: what artificial intelligence really is, its current limits, and why the concept of intelligence remains complex and crucial for society and our future
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