Tag: <span>AI</span>

How a 1960s Algorithm Just Saved AI from Chaos

How a 1960s Algorithm Just Saved AI from Chaos

For years, AI giants have been playing the same lottery: stack more and more layers, pump in more and more computing power, hope it holds. Sometimes, after months of training and millions of dollars spent, everything would collapse. Without warning.

The problem? Nobody really knew why.

Then DeepSeek pulled an old algorithm from 1967 out of the archives, forgotten in some dusty math paper. Something that had nothing to do with AI originally. Just matrices and geometry. And with that, they succeeded where others were failing.

This isn’t just a technical improvement. It’s a complete philosophical shift. Proof that you can do better with less, that intelligence isn’t just about size, but about architecture.

The story of how a 60-year-old algorithm just reshuffled the deck in the AI race.

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OPINION

AI

The Art of Whispering to AI

The Art of Whispering to AI

An orchestra without a conductor is organized chaos. Each musician plays in tune, yet together, things begin to drift. AI works the same way. It produces striking text while being able to slip at any sentence, all with the same confident tone. For a long time, we believed there were only two options: speak to it better (prompt engineering) or reprogram it (fine-tuning). But there is a third path, more subtle. A way of whispering directly into its internal states, while it is thinking.

This is called steering.
And it changes everything, not only our relationship with AI.
Our relationship with ourselves as well.

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OPINION

AI ETHICS

In praise of imperfection

In praise of imperfection

We spend our time hunting down mistakes as if they were the enemy of progress. Yet without them, no knowledge would ever emerge, no learning would ever truly stand. Error is the quiet engine of all intelligence.

The problem begins when we confuse it with deception, and when we project onto our machines the fantasy of a perfection we have never managed to reach ourselves. Without awareness of our own biases, artificial intelligence can only become a magnifying mirror of our blind spots.

This article invites a step aside, not to condemn technology, but to recall one simple and demanding truth: it is not the machine that must become perfect, it is our gaze on our own limits that must become clearer.

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OPINION

AI BIAISES ETHICS

Cognitive laziness in the age of universal assistance

Cognitive laziness in the age of universal assistance

What if, by letting machines think for us, we were slowly forgetting how to think at all?

Once, we had to get lost to learn how to find our way. Today, a synthetic voice guides us step by step, and our mind quietly drifts to sleep. We outsource everything: memory to the cloud, logic to algorithms, decisions to recommendations. It feels smooth, effortless, almost magical. But comfort comes at a cost, the slow erosion of intellectual effort.

We call it progress. Yet behind this promise of efficiency lies a silent drift: cognitive laziness. That subtle surrender where we stop reasoning, doubting, searching, and simply validate what a machine suggests.

This article explores that phenomenon, not to condemn technology, but to question what it’s turning us into: ever-assisted beings, seemingly brilliant, yet increasingly absent from their own thinking.

And perhaps, in this age of constant assistance, thinking is our last true act of freedom.

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OPINION

AI BIAISES ETHICS PARADOX

The jailers of ourselves

The jailers of ourselves

We believe we navigate freely, but we move through a strange bestiary of revisited myths. Like Narcissus, we lean over the digital mirror, fascinated by a reflection that ends up engulfing us. Like Sisyphus, we bear the burden of a memory without forgetting: each piece of data adds to the rock that crushes us without ever rolling back down. Like Prometheus, we offer our traces to a system that feasts on us endlessly. As in the Panopticon, we live under an invisible gaze, but worse still: we have learned to anticipate it, becoming our own jailers.

We are not only losing data; we are losing essential dimensions of the human: the interiority that allows thinking without witness, the forgetting that makes rebirth possible, the autonomy to be oneself, the heteronomy to be several.

Digital servitude needs no chains; it imposes itself through fluidity, seduction, habit. So the real question is no longer: “do I have something to hide?”, but: “how much longer will I remain capable of preserving what makes me a free being?”

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OPINION

AI ETHICS PRIVACY