19:28

Dec 2, 2025

In praise of imperfection

We spend our time hunting down error, as if it were the enemy of progress. Yet without it, no knowledge would ever emerge, no learning would stand up. Error is the quiet engine of all intelligence. The trouble starts 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 biases, artificial intelligence can only become a magnifying mirror of our own blind spots. This article takes a step to the side, not to condemn technology, but to recall something simple and demanding: it is not the machine that must become perfect, it is our view of our own limits that must become clearer. Find the full transcript of this episode, along with all the sources and plenty more, at: In praise of imperfection

25:27

Nov 18, 2025

The age of enshittification

There is a strange moment when you realise something has tipped over. You log in, you scroll, you click… and you feel a dull wear and tear, as if every gesture took a little more energy than yesterday. The services you loved become heavy, chatty, saturated with prompts. You catch yourself sighing at a news feed that looks less and less like a conversation and more and more like a supermarket concourse on amphetamines. This shift is no anecdote. It is a precise, patient, almost geometric mechanism. First the platforms seduce us, then they squeeze us, and finally they wring us dry. And we stay put, convinced this is normal. Because “everyone is on it”. Because leaving would cost too much: too much data, too many connections, too many habits. What if this slow deterioration were not fate, but a system? What if our tools, designed to make life simpler, had become machines that erode our attention, our knowledge and sometimes even our institutions? We may have entered an age in which technology no longer merely malfunctions: it methodically decays, and takes us with it. The challenge is no longer to be outraged, but to understand. Because a mechanism, once decoded, stops being a trap. Find the full transcript of this episode, along with all the sources and plenty more, at: The age of enshittification

25:42

Nov 11, 2025

Think as a Service or the proletarianization of knowledge

Your GPS corrects you before you go wrong. The spellchecker polishes your sentences. The coding assistant guesses your intentions. Everything becomes easier, faster, smoother. But in this slide towards total comfort, something invisible is happening: little by little, we stop thinking for ourselves. The philosopher Bernard Stiegler had a word for it: the proletarianisation of knowledge. Where the worker once lost his skill to the machine, we are now losing our ability to reflect, decide and create. First, factories dispossessed the hand. Then the culture industries standardised our ways of life. Now artificial intelligence is proletarianising thought itself. This did not happen overnight. It unfolded in three waves: The hand: the craftsman becomes a proletarian, the gesture is emptied of its intelligence Life: the consumer absorbs symbols he no longer creates Thought: the designer delegates his judgement to the machine Today, with generative AI, we are crossing a new threshold. Thinking becomes a paid service. Creativity, a premium option. And surveillance capitalism, which already captures our data and predicts our behaviour, is getting ready to monetise even our ideas. But nothing is inevitable. Stiegler preached neither the rejection of technology nor nostalgia for the past. He invited us to understand that technology is a pharmakon: both poison and cure. It all depends on how we inhabit it. So what can we do? Take back control of our attention. Steer our tools towards contribution rather than consumption. Make technology an extension of human intelligence, not its substitute. The choice does not belong to the machines. It depends on the care we take of our own thinking. This is Prometheus’s fire: no longer the stolen flame, but the light preserved. Find the full transcript of this episode, along with all the sources and plenty more, at: Think as a Service or the proletarianization of knowledge

41:51

Nov 4, 2025

Thinking slowly in an accelerated world

A few years ago, we complained about having too much information. Today, our brain still runs at its natural pace… but the world has hit x20. So we wanted to go faster. And we did. So fast that we no longer read, we scroll. So fast that we no longer think, we react. And when we no longer have time to understand, we ask a machine to summarise the world for us. We have handed algorithms the most human things we did: doubting, searching, fumbling, thinking. They answer faster, more clearly, more confidently than we do. And yet something goes out in that surface perfection: the effort of understanding, the joy of finding, the slowness of meaning taking shape. In this accelerated world, speed has become an ideal, almost a moral code. But by going fast, we end up going nowhere: we react instead of reflecting, we produce instead of thinking. What if real intelligence were not computing power, but the ability to slow down? That is what this article is about: the speed that shapes our minds, the trap of automatic thinking, and the clear-eyed slowness we must learn again, not to turn back the clock, but to rediscover the pleasure of inhabiting the world with attention. Because in the age of artificial intelligence, thinking slowly is no longer a luxury. It is a form of courage. Find the full transcript of this episode, along with all the sources and plenty more, at: Thinking slowly in an accelerated world

21:35

Oct 28, 2025

Cognitive laziness in the age of universal assistance

What if, by handing our efforts over to the machine, we were unlearning how to think? Once upon a time, you had to get lost to learn how to find your way. Today, a synthetic voice guides us step by step, and our mind gently dozes off. We delegate everything: memory to the cloud, logic to the algorithm, decisions to the recommendation. It is comfortable, smooth, almost magical. But that comfort has a price: the slow atrophy of intellectual effort. We call it progress. Yet behind this promise of efficiency lies a silent drift: cognitive laziness. The imperceptible slide by which we stop reasoning, doubting, searching, and simply approve whatever a machine suggests. This article explores that phenomenon, not to put technology on trial, but to question what it is making of us: beings ever more assisted, sometimes brilliant on the surface, but less and less present in their own thinking. What if, in the age of all-round assistance, thinking became our last act of freedom? Find the full transcript of this episode, along with all the sources and plenty more, at: Cognitive laziness in the age of universal assistance

20:51

Oct 21, 2025

The silent decline

There was a time when people said: “the Americans invent, the Chinese copy, the Europeans regulate”. Today, the United States dominates AI, China makes the most advanced products… and Europe watches the train go by while debating whether ChatGPT should say “hello” in gender-inclusive language. Europe is quietly losing the global race for artificial intelligence and innovation. The United States invents, funds and dominates: more than 100 billion dollars invested in AI in 2024, against less than 10 billion for China and a few crumbs for Europe. China, for its part, no longer copies: it now controls global production of robots, batteries and semiconductors. Meanwhile, the European Union keeps perfecting its regulatory arsenal, with no industrial strategy and no shared vision. France likes to dream of itself as Asterix’s Gaulish village: Mistral AI shines, Paris attracts, but 56% of French capital flows out to the United States, and the talent follows. The result: a continent regulating what it no longer produces, dependent on American clouds and Asian supply chains. If we are not careful, the risk is to become a digital colony for good, a mere consumer of technologies designed elsewhere. Europe can still react, by linking regulation with industrial strategy, by investing massively, by unifying its markets. But the innovation train will not wait for those who stay on the platform arguing about the colour of the carriages. Find the full transcript of this episode, along with all the sources and plenty more, at: The silent decline

13:04

Oct 14, 2025

Willingly embraced parasitism

344 times a day. That is the average number of times an adult checks their phone, according to the BBC. Every four minutes. Even at night, even for no reason, even without a notification. In tropical forests, there is an ant that climbs onto a leaf, clamps itself there and dies. A fungus has taken control of its nervous system to spread its spores more effectively. Biologists call it a parasitic infection. Poets would call it a dispossession of the living. That fungus took millions of years to perfect its strategy. Our smartphones needed only a decade. The biological parasite forces its host. The digital parasite has convinced its host that it can no longer live without it. This parallel between biological parasitism and digital colonisation is not just a metaphor. It is a modus operandi. The same mechanisms, the same precision, the same result: a host working for its parasite while believing it acts freely. So perhaps the real question is not: are we addicted to our screens? But at what point did we stop being the masters and become the host? Find the full transcript of this episode, along with all the sources and plenty more, at: Willingly embraced parasitism

7:12

Oct 7, 2025

What are we passing down to our children?

This is the third and final instalment of my series on the privacy of our data. Having explored our own surrenders and the illusion of voluntary transparency, it is time to ask the most unsettling question of all: What are we leaving our children? Not a material inheritance, but an inheritance of outlook. For they are born into a world where intimacy fades before it has even existed, where surveillance dresses up as play, where freedom is confused with being permanently connected. What was a loss for us is, for them, a given. Where we see an invasion of privacy, they simply see life. This podcast examines that silent shift: how do you pass on inner freedom to a generation that has never known secrecy? How do you teach depth to those who have been taught to expose themselves? And above all, what will be left of freedom if we forget to teach it to them? Find the full transcript of this episode, along with all the sources and plenty more, at: What are we passing down to our children?

15:34

Sep 30, 2025

The jailers of ourselves

We believe we are sailing free, but we are moving through a strange bestiary of myths revisited. Like Narcissus, we lean over the digital mirror, captivated by a reflection that ends up swallowing us. Like Sisyphus, we carry the burden of a memory that never forgets: every piece of data is added to the rock that crushes us and never rolls back down. Like Prometheus, we offer our traces to a system that feeds on us endlessly. As in the Panopticon, we live under an invisible gaze, but worse still: we have learnt to anticipate it, becoming our own jailers. We are not only losing data; we are losing essential dimensions of being human: the inner life that lets us think without a witness, the forgetting that makes rebirth possible, the autonomy of being oneself, the heteronomy of being many. 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 be able to preserve what makes me a free being?” Find the full transcript of this episode, along with all the sources and plenty more, at: The jailers of ourselves

22:45

Sep 23, 2025

I have nothing to hide anyway…

Anyway, I’ve got nothing to hide… How many times have you said that while mechanically accepting a website’s cookies? Yesterday morning, I watched my daughter check her phone. A simple, harmless gesture. And yet, in a few seconds, she had revealed her current mood, her sleep habits, her location, and even her plans for the evening. Without knowing it, she was feeding her “invisible digital portrait”: a silhouette made of thousands of micro-traces that we scatter every day. The problem? This portrait no longer belongs to you. It circulates, gets sold, grows richer. It can predict your desires before you even feel them. And in the wrong hands, it becomes a formidable weapon. The real question is not “What are you hiding?” But “Why should you give up your privacy?” In a world where forgetting becomes impossible, where every click sketches your future, protecting your data is no longer an individual luxury: it is the very condition of your freedom. Find the full transcript of this episode, along with all the sources and plenty more, at: I have nothing to hide anyway…

18:03

Sep 9, 2025

With AI, the end of doctors?

What if the arrival of AI in medicine did not spell the end of doctors, but the beginning of a new era of care? Since Hippocrates, doctors have drawn their legitimacy from their knowledge. Yet for the first time in modern history, the doctor is no longer necessarily the one who knows most. AIs diagnose faster, see what the human eye cannot catch, and sometimes even write answers that patients find more reassuring than a professional’s. So should we fear the disappearance of the doctor? Or rethink their place, their role, their added value in a world where expertise is shared between human and machine? Find the full transcript of this episode, along with all the sources and plenty more, at: With AI, the end of doctors?

10:52

Sep 2, 2025

An LLM is not a knowledge base

Last week I talked about a point that is often misunderstood: for AIs, truth does not exist. Today, I take the reasoning a step further. Because there is an even more deeply rooted misconception: believing that an LLM is a knowledge base. It is not. A language model generates probable sequences of words, not verified facts. In other words, it recites fluently, but it never cites. That is exactly what I develop in my new podcast: why this confusion persists, and how to tell parametric memory from explicit memory, so that we can finally combine the two properly. Find the full transcript of this episode, along with all the sources and plenty more, at: An LLM is not a knowledge base

10:31

Aug 26, 2025

For AI, truth does not exist

An AI does not lie. Nor does it tell the truth. It does not know what is true or what is false; it calculates probabilities. Its “reasoning” boils down to guessing which word is most likely to follow the previous one, based on the billions of sentences it has been shown. The result can be stunning: fluent, elegant, convincing. But this ease is only an illusion. What we read is not verified knowledge; it is a string of words that “fit nicely”. Sometimes right, sometimes wrong, sometimes neither. So the real danger is not AI itself, but our human reflex: confusing coherence with truth. In other words, mistaking chalk for cheese. It is this subtle, almost imperceptible slide that opens the door to confusion, through ignorance of how it works and through excessive trust in whatever “sounds right”. Find the full transcript of this episode, along with all the sources and plenty more, at: For AI, truth does not exist

17:10

Aug 12, 2025

GPT-5 has an IQ of 360… and my toaster meditates on Kant

I’m fed up with talk smothered in syrupy storytelling that turns a statistical engine into an Enlightenment philosopher. Fed up with these new AI “gurus”, freshly converted, who confuse producing fluent sentences with building a thought. They would have us believe that an LLM meditates like an old sage beneath a bonsai, when all it does is churn billions of sentence fragments, like a cocktail shaker shaken at full speed. They dress it up with wisdom when it is merely a clever stochastic parrot, able to mimic intonation but incapable of grasping the deeper meaning of its own words. SO, DEFINITELY NOT: AN LLM DOES NOT THINK. And to go on claiming otherwise is to admit that you do not know how it really works. Find the full transcript of this episode, along with all the sources and plenty more, at: GPT-5 has an IQ of 360… and my toaster meditates on Kant

9:23

Aug 5, 2025

Does free will still exist in an intermediated society?

Last week, I spoke to you about ants, those discreet beings who keep the world standing while others parade on stage. This week again, I won’t be talking about artificial intelligence, robots, algorithms or generative AI… Today, I am staying in this very human, very intimate vein. Still about us. Always about us. Because before understanding what machines do to our thinking, perhaps we first need to understand what we have done to our own ability to think. This time, I am taking you into subtler, more unsettling territory: our relationship with our own ideas. A silent slide that concerns us all, connected or not, technophiles or technophobes. I promise, from next week, I will resume my series “AI in All Its States”. But for now, let me talk to you a little longer about this strange thing that happens to us when we stop inhabiting our own questions… You type a question into your search engine. In 0.3 seconds, you have your answer. Satisfying, isn’t it? And yet… something strange is happening. This disconcerting ease may be hiding a deeper transformation in our relationship with thinking. There was a time when searching was already an act. When not knowing straight away was not a problem to be solved, but a space to inhabit. Today, we glide from one answer to the next, from one pre-chewed piece of content to another. We approve more than we choose. We apply more than we understand. But what happens when thinking becomes optional? Between the seductive efficiency of our tools and our old habit of thinking for ourselves, a silent slide is under way. Not brutal, not visible. Just… comfortable. The question is not whether technology is good or bad. It lies elsewhere, closer to home: do we still recognise our own voice when we think? Find the full transcript of this episode, along with all the sources and plenty more, at: Does free will still exist in an intermediated society?

11:51

Jul 29, 2025

The ants are fading

For once, I won’t be talking about artificial intelligence. No robots, no algorithms, no ChatGPT. Just us. This silent phenomenon running through our hospitals, our schools, our workshops, our labs. This week, I look at the gradual fading away of a discreet but essential class: the ants. The ones who keep the world standing while others dance on the ruins. La Fontaine wrote The Grasshopper and the Ant. Today, he might write The Ants Driven Out by the Grasshoppers. The Grasshopper and the Ant, the final season. Forget La Fontaine. His fable no longer holds. In today’s world, it is no longer the grasshopper who finds herself destitute when the north wind blows. No, she demands a right to heating, a “climate” allowance and emotional recognition for her hard winters. And the ant? She no longer has time to reply. She’s grafting. Well… she was. Our age has swapped the roles: the grasshopper has become a full-time influencer, an activist every waking moment, an expert in everything except effort. The ant, meanwhile, is fading away. Worn out, scorned, invisible. She doesn’t protest, she doesn’t shout. She disappears. Calmly. For good. And while the grasshoppers scroll, post and rage at the speed of 5G, the pillars of the real world are crumbling without a sound. One day, when the lights no longer come on, when there are no more teachers, no more doctors, no more tradespeople to fix the leaks, a panicked voice will ask: “Where have all the ants gone?” Spoiler: they’re not coming back. They’ve understood. And they’ve taken their leave. Find the full transcript of this episode, along with all the sources and plenty more, at: The ants are fading

20:59

Jul 22, 2025

The trial that sought to judge an artificial intelligence

What if one day your car made a decision for you… and got it wrong? A mock trial tried to answer a question that is no longer really hypothetical: can an artificial intelligence be judged the way a human would be? Behind this courtroom staging, the whole complexity of our digital future comes to light: who is to blame when a machine causes a tragedy, but nobody really understands why? Did you think the famous “red button: emergency stop” would always save you? Listen to this instead. Find the full transcript of this episode, along with all the sources and plenty more, at: The trial that sought to judge an artificial intelligence

13:02

Jul 15, 2025

The discrete art of manipulating AI with invisible prompts

What if you could whisper in an AI’s ear without anyone noticing? Researchers have done it. Not in a novel, but on arXiv, the most serious of scientific platforms. By typing invisible messages into their papers, they quietly steered the judgement… not of human readers, but of the artificial intelligences tasked with assessing the publications. White text on a white background. Tiny font. Hidden instructions. The reader sees nothing. The AI, for its part, obeys. This is not a mere technical hack. It is a sign of the times. Because in a world where AIs help us read, choose and decide, what happens when they are manipulated without our knowledge? And more dizzying still: what is left of our free will if even what we read has already been formatted… for the machine that filters our view? This podcast explores a new form of manipulation. Subtle. Insidious. Invisible. And yet formidably effective. Find the full transcript of this episode, along with all the sources and plenty more, at: The discrete art of manipulating AI with invisible prompts

16:44

Jul 8, 2025

From the weaver’s shuttle to artificial intelligence

Three centuries ago, a weaver escaped in a sack of wool. Today, we fling open the doors of our lives to those who want to weave in our place. In 1733, the flying shuttle upended the working world. In 2025, it is artificial intelligence that is transforming our gestures, our trades, our identities. But the real rupture may not be the one we think. It is no longer just our skills that we delegate; it is the taste for thinking. And this time, there may well be no turning back. In 1733, they burnt the machines. In 2025, we applaud them. But in both cases, it is people who are sacrificed. Worth a listen if you, too, sense that something essential is melting away. Find the full transcript of this episode, along with all the sources and plenty more, at: From the weaver’s shuttle to artificial intelligence

22:22

Jul 1, 2025

Corporate responsibility in the face of potential abuses of artificial intelligence

260 McDonald’s nuggets in a single order. An Air Canada chatbot lying to a bereaved customer. A recruitment algorithm blacklisting everyone over 40. Welcome to 2024, the year artificial intelligence showed its true face. And spoiler alert: it isn’t pretty. While everyone was going into raptures over ChatGPT, companies were brutally discovering an uncomfortable truth: when your machines go haywire, YOU pay. Gone are the blessed days when you could shrug and mutter “it’s a computer glitch”. The courts have ruled: your algorithms, your responsibility. Full stop. Europe legislates with the AI Act (180 pages of bureaucratic bliss). The United States innovates at breakneck speed. China controls everything. And meanwhile, our companies are discovering that developing responsible AI is like flying a fighter jet blindfolded through a storm. The greatest irony? This silent revolution will not only decide who picks up the pieces tomorrow. It will decide who dominates the global economy for the next 50 years. So, ready to find out why your next nightmare might go by the sweet name of algorithm? Find the full transcript of this episode, along with all the sources and plenty more, at: Corporate responsibility in the face of potential abuses of artificial intelligence

14:55

Jun 24, 2025

HackAtari: the test that reveals our AIs understand nothing

They dominated video games. Posted superhuman scores. And then, one day, the games were made easier. The result? They collapsed. Why? Because they had never understood what they were doing. And that is where everything changes. In a study as brilliant as it is unsettling, Quentin Delfosse and his team lift the veil on an illusion of intelligence: that of systems that excel… as long as nothing changes. They devised HackAtari, a clever test based on simplified versions of Atari games. A test that, instead of making tasks harder, makes them simpler, and yet it reveals a gaping flaw. Because when you remove the obstacles, the AIs stumble. Where a human adapts and understands, the machine collapses. What does HackAtari tell us? That an AI can shine in the exam without ever grasping its meaning. That it can repeat, optimise, correlate… without ever reasoning. And what if our AIs were, in reality, very good pupils… who recite without understanding? This is not a test of performance, but a test of truth. A test that measures not what an AI does, but what it understands. And which raises, implicitly, this unsettling question: do our AIs really understand what they are doing? Find the full transcript of this episode, along with all the sources and plenty more, at: HackAtari: the test that reveals our AIs understand nothing

8:55

Jun 17, 2025

When the Middle Kingdom reinvents education with AI as a tool for civilizational conquest…

While six-year-old Chinese children are learning to train AI models to recognise the insects in their gardens, French children of the same age are discovering… how to open a word processor. This gap is not a detail. It is the symptom of a strategic chasm opening up before our eyes. On one side, China is rolling out a plan of breathtaking ambition: 12 years of progressive AI learning to turn every citizen into a “digital native”. The result? It already produces 50% of the world’s top AI researchers, against 18% for the United States. On the other, France has just decided “once and for all” after… a 4-month consultation that gathered 500 contributions. Out of 1.2 million people in the French education system. That is 0.04% of the education community. The French verdict? AI will be allowed only from Year 9, with compulsory training lasting 30 minutes to 1.5 hours at most to master the “basics of prompting”. In between two reminders about the water consumption of servers. While Beijing trains entire cohorts of children who will grow up with AI as a natural companion, Paris organises consultations and offers micro-modules lasting an hour and a half. In 10 years, guess who will truly master this technology that is already redefining the global balance of power? History may judge us on our ability to turn a technological revolution… into an administrative reform. Find the full transcript of this episode, along with all the sources and plenty more, at: When the Middle Kingdom reinvents education with AI as a tool for civilizational conquest…

21:28

Jun 10, 2025

AI myths and their power of dispossession

“This AI writes better than I do!” I hear that sentence at least three times a week. From a marketing director dazzled by ChatGPT. From a graphic designer captivated by Midjourney. From a student who has just discovered that a machine can solve his maths exercises in seconds. And every time, I tell myself: we have just crossed an invisible line. Not the line of technical performance; that is just computing doing what it has always done: calculating quickly and well. No, we have just crossed the line of our own devaluation. The one where we begin to doubt our most human abilities: thinking, creating, deciding. As a mathematician who works with AI every day, I see three great mythological narratives being built before our eyes. Three seductive stories that gradually make us give up something precious: our intellectual autonomy. The problem is not that AI is too capable. It is that we are becoming too credulous. In what follows, I suggest we unpick together these three myths that are silently redrawing the borders of our humanity. Because before knowing what AI can do, it is high time to remember what we, for our part, do not want to lose. Ready for a little exercise in collective clear-sightedness? Find the full transcript of this episode, along with all the sources and plenty more, at: AI myths and their power of dispossession

22:20

Jun 3, 2025

AI doesn’t destroy jobs, like every technological revolution, it creates new ones

What if the real revolution were not that of machines, but that of how we see work? Every age has its fears. Yesterday, the power looms. Today, artificial intelligence. With every advance, the same scenario: we dread disappearance, we forget transformation. And yet… History whispers something else. It tells us how, behind every apparent disappearance, a metamorphosis lay hidden. How trades transformed themselves. How humans moved their talent to where the machine could not go. I invite you on a journey through time and imagination. A tale for two voices, between Ada (the AI) and Cerise (aged 17), to rethink what it means to work, to adapt, to imagine… in a changing world. If you believe AI kills jobs, listen to this. And if you don’t… listen to it too. Find the full transcript of this episode, along with all the sources and plenty more, at: AI doesn’t destroy jobs, like every technological revolution, it creates new ones

12:57

May 27, 2025

AI as a thinking aid, or the slow fading of knowledge?

Artificial intelligence is not what you think. Not a thought, just a prediction. Not a mind, but a statistical echo. And what if the real danger were not AI itself, but what we stop doing because it exists? AI does not steal our intelligence. It relieves us of using it. And in that relief, a slow erosion begins… of our ability to doubt, to search, to truly think. This piece is not an indictment of technology. It is a plea for thought. An invitation to clear-sightedness. And a warning about what we risk losing without even noticing: our inner freedom. Listen, share, discuss. This is not a text about AI. It is a text about you. Find the full transcript of this episode, along with all the sources and plenty more, at: AI as a thinking aid, or the slow fading of knowledge?

34:34

May 20, 2025

AI at the threshold of independence: myth or reality?

Picture it. An ordinary morning in Paris. Cerise, a seasoned developer, settles in at her desk… until her AI assistant, “Ada”, starts proposing sophisticated architectural improvements. Suggestions so relevant that they sometimes go beyond her own level of expertise. This scene, far from fictional, raises THE question that haunts our time: are we on the brink of truly autonomous AI? I take you behind the scenes of this silent revolution. Through the story of Cerise and Ada, discover: The real (and surprising) capabilities of today’s AI The technical obstacles still holding back its autonomy The technological breakthroughs that change the game How an unprecedented human-AI collaboration is taking shape Between educational fiction and technical reality, this podcast separates fact from fiction in the debate on AI autonomy. Because understanding these stakes means preparing for a future where intelligence, human and artificial, is reinventing itself before our eyes. “This is not a zero-sum game where one must dominate the other, but a complex dance where each partner enriches the other.” Find the full transcript of this episode, along with all the sources and plenty more, at: AI at the threshold of independence: myth or reality?

20:53

May 13, 2025

Biases in AI are a disturbing reflection of our humanity

Algorithms have neither morals nor intentions. But they learn from us. From our data. From our past decisions. And sometimes, without our wanting it, they inherit our deepest prejudices. In this extract, I invite you to dive into the map of our digital wanderings: a journey through the invisible biases that silently sculpt our machines’ decisions… and already influence our lives. Recruitment, credit, justice, health: no field escapes. Whether it is historical bias, representation bias or blind automation, every algorithmic distortion acts as a warped mirror of our society. It is not just a question of code: it is a matter of conscience. And what if, to make our AI fairer, we first had to learn to look at ourselves more honestly? Find the full transcript of this episode, along with all the sources and plenty more, at: Biases in AI are a disturbing reflection of our humanity

11:47

May 6, 2025

When AI thinks for us, should we fear the disappearance of doubt?

Some time ago, I spoke here about the danger of autophagy, the moment when artificial intelligence starts feeding on its own content, endlessly recycling the same ideas, impoverishing the diversity of knowledge. But there is another risk, even more intimate: that of relieving us of the very desire to think. Imagine an architect of knowledge. Every day, he sketches, questions, connects ideas. Then one day, a machine offers him the plans. Clear, fast, appealing. So he adjusts. He approves. But he no longer doubts. AI does not attack us. It helps us. And that is precisely where the slide happens. It spares us the effort, and that effort is sometimes all we had left to remain truly human. And what if the greatest danger lay not in the tool… but in the combination of these two phenomena? An AI going round in circles on itself. Humans who no longer wish to produce anything else. Here I try to explore this question in an in-depth piece. Neither dystopian nor starry-eyed. Just clear-sighted. Find the full transcript of this episode, along with all the sources and plenty more, at: When AI thinks for us, should we fear the disappearance of doubt?

24:19

Apr 29, 2025

When systems don’t talk, it’s the patients who suffer

Imagine an on-call doctor desperately searching for the medical history of an unconscious patient. Everything has been entered somewhere: in a surgery, a clinic, a specialist software package. But nothing flows. Nothing talks to anything else. That is the true face of missing interoperability. This seemingly technical word is in fact a major lever for transformation, at the crossroads of care, digital sovereignty, medical ethics and collective intelligence. Here I explore why sharing medical data is not a luxury or progress for insiders, but a vital necessity. And above all, how we could act differently, at the level of carers, patients, institutions… and the technologies themselves. Find the full transcript of this episode, along with all the sources and plenty more, at: When systems don’t talk, it’s the patients who suffer

15:31

Apr 22, 2025

Is PHYGITAL the future of healthcare?

Imagine a doctor whose every move is enriched and augmented by artificial intelligence, without ever losing the human warmth of a traditional consultation. That is the promise of “phygital”, this subtle fusion of the physical and the digital, which could now redefine medical practice. But how can this alliance really transform your relationship with your doctor, improve diagnoses, and even tackle the challenge of medical deserts? Discover how phygital does not replace people, but gives them back their full place in modern care. A quiet revolution, where technology and tradition come together to offer medicine that is more personalised, more accessible, and deeply human. Find the full transcript of this episode, along with all the sources and plenty more, at: Is PHYGITAL the future of healthcare?

13:51

Apr 15, 2025

Cognitive autophagy, when humans feed on impoverished content

Every day, without even noticing, we scroll, click, like… and feed our minds a lukewarm gruel of recycled information, mass-produced and drained of its marrow. It is no longer only AI going round in circles in its own soup of synthetic content: it is us. Our brain, once curious, nimble and fond of complexity, now settles for digital crumbs, digested for us by machines. The result? An impoverished, standardised way of thinking, which is gradually losing its ability to tell true from false, the profound from the superficial. This is not science fiction. This is about you. About me. About all of us. And about this invisible feast where humanity gorges itself on emptiness, one easy piece of content at a time. Ready to look squarely at what we are becoming? Find the full transcript of this episode, along with all the sources and plenty more, at: Cognitive autophagy, when humans feed on impoverished content

58:14

Apr 8, 2025

72% of our digital sovereignty under American flag: the urgency of a European cloud

With Trump’s return and his “America First” doctrine, our technological dependence is no longer a mere commercial disadvantage: it is a STRATEGIC TRAP closing in on us. How we have systematically CONFUSED infrastructure with software in our cloud strategies Why our French champions tear each other apart while the tech giants present a united front How our bureaucracy has SACRIFICED our most promising technology start-ups My proposal for a “DIGITAL CLOUD EURO”, with a precise 2025-2035 timeline When Broadcom raised VMware prices by 300% (even 1,050% for some), it is not just an IT department problem: it is OUR MONEY filling the hole while our public services run on a shoestring. The urgency to act has NEVER been so palpable. Find the full transcript of this episode, along with all the sources and plenty more, at: 72% of our digital sovereignty under American flag: the urgency of a European cloud

28:18

Apr 1, 2025

Ethical challenges and future perspectives of generative AI

While ChatGPT writes our emails, Midjourney illustrates our presentations and other AIs write our code, we find ourselves facing a fascinating paradox: never have we had such powerful tools to amplify our creativity, and yet never have we seemed so vulnerable to the consequences of that amplification. In my article “Ethical challenges and future perspectives of generative AI”, I explore the grey area where neither starry-eyed techno-optimism nor paralysing catastrophism is enough to grasp reality. I invite you on a journey to the heart of the four fundamental ethical dilemmas of these technologies: The troubling opacity of algorithms The discriminatory biases they perpetuate Our weakened relationship with authenticity The massive appropriation of human creation without consent But above all, beyond the diagnosis, I sketch out a “conscious digital pact” that could turn these challenges into a historic opportunity. Because the question is not whether AI will replace us, but how to preserve our creative autonomy in a world where these tools amplify some of our abilities while risking the atrophy of others. Find the full transcript of this episode, along with all the sources and plenty more, at: Ethical challenges and future perspectives of generative AI

40:13

Mar 25, 2025

Generative AI or the hidden face of a technological mirage

Behind every ChatGPT query lies a reality few of us want to face: a colossal infrastructure devouring water, electricity and rare metals at a frantic pace. I went behind the scenes of this technological revolution and the figures are dizzying: A single ChatGPT query uses 5 TIMES more electricity than a standard Google search By 2030, AI could generate 2.5 MILLION tonnes of electronic waste a year A heavy ChatGPT user generates almost 300g of CO2 a year, multiplied by hundreds of millions of users… But beyond the alarming figures, in this piece I explore concrete avenues: specialised models, distributed computing, frugal innovation… Because I am convinced of it: the future of AI will be green, or it will not be at all. This extraordinary technology deserves better than our collective blindness. It deserves deep reflection on its sustainability. Find the full transcript of this episode, along with all the sources and plenty more, at: Generative AI or the hidden face of a technological mirage

15:07

Mar 18, 2025

Generative AI or the illusory alchemy of digital free access

We love these tools. One prompt, and presto: a stunning image, a crystal-clear text, working code. A technological miracle, with no bill to pay. But who is really paying for this algorithmic magic? Behind every ChatGPT answer, every Midjourney visual, lie voracious data centres, colossal infrastructure and staggering energy costs. And yet we go on believing it is free… Will this illusion last? When will the bill arrive? And above all, who will fund this revolution? This podcast is part of a three-part reflection exploring the little-known stakes of generative artificial intelligence, beyond its apparent free-of-charge nature. ➤ The illusion of a cost-free digital world Generative AI, the hidden side of a technological mirage Who should pay? Ethical stakes and future prospects Find the full transcript of this episode, along with all the sources and plenty more, at: Generative AI or the illusory alchemy of digital free access

15:25

Mar 11, 2025

AI autophagy, when AI feeds on itself

What if artificial intelligence were slowly drifting away from reality by feeding on… itself? That is the troubling paradox of data autophagy: when AI models reuse their own outputs, a vicious circle sets in. 🔄 The result? 📉 A gradual loss of diversity and nuance 📉 A “copy of a copy” effect that degrades quality 📉 Search engines increasingly filled with synthetic content In a world where 90% of online content could be generated by AI by 2026, how do we avoid a massive impoverishment of information? 🔬 Solutions exist: ✔️ Diversifying sources to avoid algorithmic inbreeding ✔️ Developing self-correcting mechanisms to preserve creativity ✔️ Striking the right balance between artificial intelligence and human intervention 💡 Can we still keep control over how AI models evolve? And above all, how do we stop AI from going round in circles? 🧐 I’d like to hear what you think! Read the article and let’s discuss 👇 #AI #MachineLearning #Data #Innovation #FutureOfAI Find the full transcript of this episode, along with all the sources and plenty more, at: AI autophagy, when AI feeds on itself

18:08

Mar 4, 2025

From the attention economy… to the intention economy

For decades, the dominant model of the internet has been the attention economy: capture our gaze, maximise our screen time, turn every second into advertising revenue. But a profound shift is under way. Artificial intelligence no longer merely seeks to capture our attention; it anticipates and shapes our intentions. Every choice we make (a film, a purchase, a restaurant) is now shaped by an invisible ecosystem of algorithms, predictive models and real-time auction markets. So where does help end and manipulation begin? Is our free will being redefined by lines of code? The intention economy opens up a vast field of opportunities, but also of fundamental ethical questions. It is time to question this new reality. Are your decisions still your own? Find the full transcript of this episode, along with all the sources and plenty more, at: From the attention economy… to the intention economy

10:25

Feb 28, 2025

Between belief and trust, AI as an existential revealer

We swing between fascination and mistrust when it comes to AI. On one side, the enthusiasts who see it as an inevitable revolution. On the other, the sceptics who remind us that “AI won’t bake the baguette”. But have we asked the right question? In shaping these artificial intelligences, what are we really looking for? A tool to surpass ourselves… or a mirror that reflects our own limits back at us? When children would rather ask an AI for help than their classmates, because “it won’t make fun of them”, that should give us pause. And what if, paradoxically, AI were revealing how much humanity we have lost? Artificial intelligence or augmented intelligence: what future do we really want? Find the full transcript of this episode, along with all the sources and plenty more, at: Between belief and trust, AI as an existential revealer

22:24

Feb 25, 2025

Reskilling: how to adapt to the AI era

Artificial intelligence is transforming our jobs at unprecedented speed. According to the OECD, 32% of today’s jobs will be profoundly changed and 14% completely redesigned by 2030. Faced with this shift, one central question arises: how do we steer this transition rather than simply endure it? Here I explore the need for reskilling, the professional reinvention that allows us to evolve with AI, not against it. Three key levers emerge: Reskilling: changing course entirely by acquiring new skills Upskilling: deepening your existing expertise to keep pace with the market Cross-skilling: blending your skills to build bridges between disciplines Far from being a constraint, this transformation is an opportunity to redefine our relationship with work, putting people and creativity at the heart of human-machine collaboration. Find the full transcript of this episode, along with all the sources and plenty more, at: Reskilling: how to adapt to the AI era

6:21

Feb 18, 2025

Artificial intelligence, ethics and healthcare: a revolution to balance

Artificial intelligence in healthcare: revolution or ethical challenge? Artificial intelligence is profoundly transforming medicine, offering more accurate diagnoses, better personalised treatments and support for overstretched doctors. But this progress also raises major questions: how do we preserve the doctor-patient relationship? Who is responsible when things go wrong? How do we guarantee data protection and the impartiality of algorithms? Here I explore the promises and limits of AI in healthcare. Between technological hope and ethical necessity, a balance must be struck so that these tools remain in the service of people. Should AI be a mere assistant, or does it risk redefining our relationship with care? Find the full transcript of this episode, along with all the sources and plenty more, at: Artificial intelligence, ethics and healthcare: a revolution to balance

10:06

Feb 11, 2025

AI and Big Data to (re)build a more human healthcare system

A third of French people live in medical deserts. A manual worker’s life expectancy is still seven years shorter than a manager’s. Our healthcare system, once a model, is running out of steam. But what if AI and Big Data could change the game? Far from a fantasy of replacing doctors, these technologies offer concrete solutions: ✅ Optimising hospital flows: less waiting time, more time for care. ✅ Improving access to care: assisted diagnosis, remote monitoring, support for isolated carers. ✅ Predicting and preventing: early identification of disease risks, personalised treatments. ✅ Speeding up research: new medicines developed in record time. But one question remains: how do we integrate these innovations without losing the essence of care? AI must be an ally, not a substitute. It will never replace the intuition and empathy of carers. Ethics and transparency are our compasses. If we respect them, we have a unique opportunity to build a fairer, more accessible and deeply human medicine. Find the full transcript of this episode, along with all the sources and plenty more, at: AI and Big Data to (re)build a more human healthcare system

16:28

Jan 28, 2025

How machine learning enables machines to learn from data

Imagine every piece of music as a unique constellation of stars… and every interaction as an observation that reveals your preferences. In a conversation between Cerise and Ada, artificial intelligence becomes a fascinating mirror of our own thought processes. From facial recognition to personalised medical care, machine learning is transforming our world while raising deeply human questions. ✨ How do these algorithms go from raw data to an almost intuitive understanding? What ethical challenges and responsibilities come with this revolution? Dive into this captivating exploration and discover how artificial intelligence, far from replacing us, helps us understand ourselves better. Find the full transcript of this episode, along with all the sources and plenty more, at: How machine learning enables machines to learn from data

11:04

Jan 21, 2025

AI, an invitation to rethink humanity

AI is no longer just a technology. It is becoming a mirror of our emotions, our consciousness, our relationship with authenticity. Through the dialogue between Ada and Cerise, a question takes shape: what sets humans apart from machines may not be what we think. An invitation to rethink artificial intelligence, not as a threat, but as a chance to rediscover what makes us human. Find the full transcript of this episode, along with all the sources and plenty more, at: AI, an invitation to rethink humanity