Tag: <span>ETHICS</span>

A machine was fed with the equivalent of 10 million books. Then it was taught humanity.

he result? GPT-3 began solving advanced mathematics. Without anyone teaching it. It translated between programming languages. Detected invisible emotional signals. Wrote sonnets under seemingly impossible constraints.

Then GPT-4.5 arrived. Worse than its predecessor on certain tests. With no obvious explanation.

As if these models had their own cognitive weather.

Between 2018 and 2022, behind the closed doors of research laboratories, something was created that we still do not fully understand. Something that develops abilities no one explicitly taught it. And sometimes loses them, without anyone knowing why.

The cost of the operation: 200 million dollars. 25,000 GPUs. 20,000 hours of human labor just to teach it basic politeness.

If their creators discover abilities only after the fact, what other surprises might still be waiting for us?

OPINION

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.

OPINION

Have you ever spent twenty minutes scrolling, reading, watching… then closed LinkedIn with a strange feeling, the sense of having consumed a lot without really learning anything?

This is not a lack of curiosity or discipline. It is the effect of a new information environment where AI produces smooth, reassuring, instantly consumable content, yet often poor in substance. This is what we call AI slop, intellectual food that satisfies in the moment, without ever nourishing thought.

OPINION

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.

OPINION

There is a strange moment when you realise something has shifted. You log in, you scroll, you click… and there’s this dull fatigue, as if every gesture demands a little more energy than it did yesterday. The services we once loved have grown heavy, chatty, saturated with demands. You catch yourself sighing at a feed that looks less and less like a conversation, and more like a supermarket hallway on stimulants.

This slide isn’t anecdotal. It’s a precise mechanism, patient, almost geometric. First the platforms charm us, then they tighten their grip, and eventually they squeeze. And we stay there, convinced it’s normal. Because “everyone is there”. Because leaving would cost too much, too many files, too many connections, too many habits.

What if this slow deterioration wasn’t a fate, but a system?
What if the tools designed to simplify our lives had turned into machines that erode our attention, our knowledge, and sometimes even our institutions?

We may have entered an era where technology doesn’t simply malfunction, it decays methodically, and takes us with it. The challenge now is not indignation, but understanding. Because once a mechanism is decoded, it stops being a trap.

OPINION