Tag: <span>AI</span>

📌 Friday mood post 📌

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OPINION COLUMN

260 McDonald’s nuggets in a single order. An Air Canada chatbot lying to a grieving customer. A recruiting algorithm that blacklists everyone over 40.

Welcome to 2024, the year artificial intelligence showed its true colors. And spoiler alert: it’s not pretty.

While everyone was gushing over ChatGPT, companies were brutally discovering a harsh truth: when your machines screw up, YOU pay the price.

Gone are the golden days when you could shrug and mutter “it’s just a computer glitch.” The courts have spoken: your algorithms, your responsibility. End of story.

Europe legislates with the AI Act (180 pages of bureaucratic bliss). The US innovates at breakneck speed. China controls everything. Meanwhile, our companies are discovering that building responsible AI is like flying a fighter jet blindfolded in a thunderstorm.

The most ironic part? This silent revolution won’t just determine who pays for tomorrow’s disasters. It will decide who dominates the global economy for the next 50 years.

So, ready to discover why your next nightmare might go by the sweet name of “algorithm”? 👇

OPINION

HackAtari, or how a deceptively simple test brought the most sophisticated AIs to their knees.

They used to dominate video games. Boasted superhuman performance. And then one day, the games were made easier. The result? They collapsed.

Why? Because they never truly understood what they were doing.

And that’s where everything shifts.

In a study as brilliant as it is unsettling, Quentin Delfosse and his team expose a powerful illusion: that of systems which excel… as long as nothing changes.

They came up with HackAtari, a clever test built on simplified versions of classic Atari games. A test that, instead of making tasks harder, makes them easier — and yet it uncovers a glaring weakness. Because when you remove the obstacles, the AIs stumble. Where a human adapts and makes sense of the change, the machine falls apart.

What does HackAtari really tell us? That an AI can ace the exam… without ever understanding the questions. That it can repeat, optimize, correlate… without ever reasoning.

What if our AIs were, in truth, nothing more than top-of-the-class students — reciting without understanding?

👉 This isn’t a performance test, it’s a truth test. One that doesn’t measure what an AI does, but what it understands. And it leaves us with a quietly disturbing question: Do our AIs actually understand what they’re doing?

OPINION

While 6-year-old Chinese children are learning to train AI models to recognize insects in their gardens, French kids the same age are discovering… how to open a word processor.

This gap isn’t just a detail. It’s the symptom of a strategic chasm opening before our very eyes.

On one side, China deploys a plan of breathtaking ambition: 12 years of progressive AI learning to transform every citizen into a “digital native.” The result? It already produces 50% of the world’s top AI researchers compared to 18% for the United States.

On the other, France has just decided “once and for all” after… 4 months of consultation that mobilized 500 contributions. Out of 1.2 million people in the national education system. That’s 0.04% of the educational community.

The French verdict? AI will be authorized starting from 8th grade only, with mandatory training of 30 minutes to 1.5 hours maximum to master the “basics of prompting.” Between reminders about server water consumption.

While Beijing trains entire cohorts of children who will grow up with AI as their natural companion, Paris organizes consultations and offers hour-and-a-half micro-modules.

In 10 years, guess who will truly master this technology that’s already redefining global power balances?

History may judge us on our ability to transform a technological revolution… into administrative reform.

OPINION

“This AI writes better than I do!”

I hear this sentence at least three times a week. From a marketing director dazzled by ChatGPT. From a graphic designer fascinated by Midjourney. From a student who just discovered that a machine can solve their math exercises in seconds.

And every time, I think to myself: we’ve just crossed an invisible line.

Not the line of technical performance, that’s just computing doing what it’s always done: calculating fast and well. No, we’ve crossed the line of our own devaluation. The one where we start doubting our most human capabilities: thinking, creating, deciding.

As a mathematician who works with AI daily, I see three grand mythological narratives being constructed before our eyes. Three seductive stories that gradually make us abandon something precious: our intellectual autonomy.

The problem isn’t that AI is too performant. It’s that we’re becoming too gullible.

In the lines that follow, I invite you to dissect these three myths with me, myths that are silently redrawing the boundaries of our humanity. Because before knowing what AI can do, it’s about time we remember what we don’t want to lose.

Ready for a little collective exercise in lucidity?

OPINION