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NYT Cooking’s AI assistant saved my weeknight chicken, but almost ruined my cake The Verge

Nov. 7, 2026, 3:50 p.m.

AI Reviews Smart Home Reviews

Around 7PM each weeknight, I find myself standing in front of the fridge, trying to decide on something for dinner that won’t make my husband complain, “Chicken again?” Yes, I should meal plan more, but I don’t, so this is where I’m at. A nightly battle in which the chicken usually wins. NYT Cooking’s AI assistant saved my weeknight chicken, but almost ruined my cake I tested the new AI-powered tool on ingredient swaps, recipe scaling, and a missing Bundt pan. Recently, my best weapon in this fight has been AI. Between Alexa Plus in the Echo smart display on my kitchen counter, the Samsung Food app on my fridge, and even an AI-powered cooking robot, AI has become my go-to sous chef — albeit one I need to keep a close eye on. It’s helped me swap ingredients, generate ideas, fix things when I mess up, and yes, even cook better. So I was intrigued when my go-to recipe app, NYT Cooking, introduced an AI assistant. Many, including some NYT Cooking users and recipe purists, are skeptical of this new tool (available to subscribers on iOS only at launch), and I get why. One of the things I like most about NYT Cooking is that it features thousands of recipes from dozens of reputable sources — such as the New York Times archives, restaurants, cookbooks, and food columnists — and real people have tested them. (I’ve tried some purely AI-generated recipes and they were not good). Another great feature of the service, which I’ve been paying for for several years, is the reader comments. Here, I’ve often found solutions to cooking dilemmas, like what to substitute for makrut lime leaves — there’s always one slightly bougie ingredient in an NYT Cooking recipe that I don’t have on hand. However, reading through hundreds of comments to find answers at 7PM on a weeknight isn’t always practical. And this is where I’ve found the NYT Cooking assistant helpful. Among other things, it was trained on user comments, and in my few days testing it, it provided practical substitutions and solid cooking guidance for the new ingredients. It also won’t unquestionably agree to crazy requests (I tried!). As with all AI tools, it’s not perfect — it almost made me put half the required butter in my cake — but as a tool, it is useful and feels like a solid application of AI. Importantly, it doesn’t change the existing recipe; it leaves it as is and creates a new one for you. It doesn’t change the existing recipe; it leaves it as is and creates a new one for you The assistant appears in the app in a small text box on the recipe page with a prompt: “Customize this recipe…” From here, you type in a question to adapt it to your needs. This can be as simple as “What can I substitute for this ingredient?” to “Scale this recipe to feed seven people, and make it vegan and gluten-free.” The New York Times has also said the feature can suggest substitutions for cooking equipment and convert measurements; the latter option has been in the app for a couple of years. Last Friday night, instead of staring aimlessly into the fridge, I turned to the Chicken folder in my NYT Cooking app Recipe Box and found a One-Pot Chicken and Rice With Ginger I’d been wanting to try. Only I didn’t have chicken thighs or half the ingredients. I could have figured these steps myself, but it was nice to have validation that my modifications wouldn’t make the dish taste terrible. I typed my dilemma into the assistant box on the recipe page: “I have chicken tenders, fresh ginger, garlic, rice, broth, limes, but no chard or cilantro or scallions. I do have green beans and red onions.” Within seconds, it created a new version of the recipe, with a new title: One-Pot Chicken and Rice With Ginger and Green Beans. It suggested a shorter browning time for the tenders, cooking the red onion alongside the chicken, and steaming the green beans on top of the rice for the last eight minutes instead of the chard. Every change was highlighted in the new recipe under a Your Version tab, and I could flip back to the original at any point. I noticed it hadn’t adjusted for the lack of cilantro, saying it was optional. So I asked if I could use Thai basil, which I happen to have, and it agreed, highlighting how it would change the flavor. While I could have figured out a lot of these steps myself, maybe with the help of Google, it was nice to have validation that my modifications wouldn’t make the dish taste terrible and nice not to have to swipe out of the app. The NYT Cooking editors say it’s been trained not to comply with requests that will taste bad. The resulting dish — which took the same amount of time to cook as the original — was delicious and got my husband’s seal of approval (he just had the leftovers for lunch). It was very different from the recipe Yasmin Fahr wrote, and I can see the purists’ point. But the rewritten recipe was much easier to use and produced a better dish than winging it with my own subs gleaned from the comments section, which I usually do with varying degrees of success. I cook regularly, so I had a sense of what ingredients I had on hand that might work for the dish I wanted to make. But the assistant can also help if you have no idea what to use as a substitute. For example, I was cooking a Thai red curry and asked what I could use instead of makrut lime leaf. It replied, saying that grated lime zest would work, but “it misses the deeper floral, herbal aroma” of fresh limes. (See? Bougie.) Over the weekend, I tried several more swaps, asking whether half-and-half would work instead of cream in a caramel apple Dutch baby, or if Castelvetrano olives and smoked paprika could stand in for kalamata and chile pepper in a roasted halibut dish. Swapping spices is always a bold move in any dish, as it can really ruin the flavor. I also had the app convert the Dutch baby recipe’s metric weights to US measurements, which it did seamlessly. Then I threw in some curveballs. How about using fresh cayenne peppers with the halibut? It warned me that substituting cayenne for chile “brings significant, sharp heat.” Could I swap ladyfingers for minced beef in this trifle (à la Rachel Green in Friends)? “Minced beef cannot be used in place of the ladyfingers or anywhere in this sweet dessert trifle.” Good call. While I was cooking, I compared the NYT Cooking assistant with Alexa Plus, Amazon’s generative-AI voice assistant I regularly use to help me cook via the Echo Show 11 smart display in my kitchen. Interestingly, it offered the same guidance as the Cooking assistant on substitutions for the chicken and rice dish, but with slightly different cooking times. Alexa pulls some recipes from the NYT app through a partnership between the companies. However, Alexa couldn’t show the modified recipe on its screen; it could only tell me the changes while showing the original. When I asked it to walk me through them, it got confused and improvised, telling me to cut the chicken into bite-sized pieces — which wasn’t in the modified recipe. Overall, I found using the Cooking app more reliable, although messier. It would be great to be able to use voice control to navigate the app, as I can with Alexa on my smart display, rather than using my garlicky fingers. Time for a bigger challenge: baking. I am typically not a baker. My cakes come out flat, and my cookies don’t crumble. Even the smart mixer I tested a few years ago couldn’t save me. I also rarely have the right equipment. So I took Cinnamon Roll Bundt Cake, a recipe by NYT Cooking editor Genevieve Ko (who announced the AI feature), and asked it to turn it into muffins. (Who has a Bundt cake pan?!) It modified the recipe’s cooking time from three hours to 50 minutes and split the batter across two 12-muffin tins. But that was going to make 24 muffins, way too many for me. So I asked it to halve the recipe to get 12 muffins. This led to some smart choices, like halving five eggs to three instead of an unhelpful two and a half. For science, I bought a Bundt pan to make the original version too. Both turned out great, but things got a bit sticky when I swapped between the original recipe and the AI version in the app. You can’t save your new recipe separately, which caused confusion when I was cooking the original. Instead of scrolling back through the recipe with sticky fingers, I asked the assistant how much butter I needed (using voice typing), and it gave me the modified recipe’s 6 tablespoons rather than the original’s three-quarter cup, without telling me which version it was using. You can delete your version, which I would advise doing to avoid issues like this — 6 tablespoons of butter would have made for a dry cake. If you already read all the comments before starting a New York Times recipe, then you will probably find this tool offers a similar experience in a more streamlined way. For everyday problems — wrong cut of chicken, no cilantro, or no Bundt cake pan — it was genuinely helpful and saved me a trip to the store. It was also smart enough to know when to say no to minced beef in a trifle. As with every AI tool I’ve used in the kitchen, the NYT Cooking AI assistant works well as a sous chef, but it’s not the head chef — I still felt the need to double-check amounts and cooking times and cross-reference them with the original to make sure it hadn’t done something outlandish. If you’re a purist, you can just ignore the assistant. While you can’t turn off the chat box, it’s easy to scroll past. I do think it will make me use the app more often, since I no longer need to worry as much when I don’t have makrut lime leaves on hand or the right cut of meat. For me, standing in front of the fridge with chicken tenders and no plan, it’s been a useful addition to my nightly cooking routine. Photos by Jennifer Pattison Tuohy / The Verge Most Popular - Xbox overhauls its PC, web, and cloud apps with a faster design - Anker’s new window-mounted camera monitors the outside of your home from within it - I’ve reviewed almost every Android foldable this year — here’s how the iPhone Duo compares - After printing 40,000 whistles, this is the 3D printer I’d buy - The Enough Phone is made by and for people fed up with big screens

France-Fidji : les Flying Fijians doivent-ils sacrifier leur magie pour gagner ?
France-Fidji : les Flying Fijians doivent-ils sacrifier leur magie pour gagner ? Courrier international

Nov. 7, 2026, 3:47 p.m.

Rugby

Leur archipel a beau se trouver à quelque 16 000 kilomètres de Lyon, les Flying Fijians, soit les joueurs de la très réputée sélection de rugby à XV mélanésienne, ne seront pas trop dépaysés à l’heure d’affronter le XV de France, le samedi 7 novembre au Groupama Stadium. La moitié du groupe fidjien évolue dans le Top 14, et des dizaines de rugbymen fidjiens jouent dans les championnats français, d’où un lien fort entre les deux nations. À tel point qu’un entraîneur français a récemment été pressenti pour prendre la tête de la sélection. C’est finalement le Sud-Africain Jake White, champion du monde en 2007 avec les Springboks, qui a raflé la mise, annonçait le 13 octobre Pacific Media Network. “Réputée pour son sens de l’attaque et ses qualités techniques individuelles”, souligne ce réseau néo-zélandais spécialisé dans l’actualité du Pacifique, la sélection fidjienne veut désormais “que ces atouts s’accompagnent d’une discipline, d’une régularité et d’une préparation accrues face aux meilleures équipes du monde”. “Une nouvelle équipe des Springboks” ? À ce titre, et au-delà du fait que nombre de joueurs fidjiens vont affronter leurs coéquipiers en club, les Bleus représentent un défi de taille pour les rugbymen du Pacifique, dans ce Championnat des nations où ils n’ont décroché Accédez à l’intégralité de nos contenus sur le site et l’application en vous abonnant à l’offre spéciale. Dès 2,99 €/mois Sans engagement • Résiliable en ligneEt si cet article n’était que le début ? 2,99 € par mois En tant qu’abonné, accédez à l’intégralité des contenus de Courrier international. Coupe du monde 2023 : la préparation des Fidji, loin de tout et dans la boue Le triomphe du XV de France face à l’Angleterre, un match “qui mériterait d’être exposé au Louvre” Champions Cup : en finale contre l’UBB, le Leinster veut briser sa malédiction française En Papouasie-Nouvelle-Guinée, le rugby comme outil d’influence pour l’Australie

« Toujours dans notre mémoire » : l’hommage du football espagnol à Jesús de Miguel, quatre jours après son décès dans un violent choc Le Parisien

Nov. 7, 2026, 3:47 p.m.

« Toujours dans notre mémoire » : l’hommage du football espagnol à Jesús de Miguel, quatre jours après son décès dans un violent choc

The US let Nvidia sell chips to an empty office in China The Verge

Nov. 7, 2026, 3:43 p.m.

AI News Nvidia

Concerns are being raised that neither the Commerce Department nor Nvidia are doing their due diligence when it comes to vetting Chinese firms cleared to handle the company’s H200 AI chips. According to The New York Times, New Matrix is on the list of approved firms, yet its offices are empty, “a hollow gray shell with wires dangling from the ceiling where lights should be.” In fact, the paper could find little evidence that the company exists in any meaningful way: The US let Nvidia sell chips to an empty office in China The government is approving sales of Nvidia’s AI chips to Chinese firms with ties to blacklisted companies. The government is approving sales of Nvidia’s AI chips to Chinese firms with ties to blacklisted companies. Only scant information can be found online about New Matrix, which was created 17 months ago. At the building that New Matrix lists as its address, a company directory does not include the firm. At the nearby property management agency for the industrial park, a receptionist and a manager both said they had no record of the company. What little information can be found about New Matrix is concerning. Its owners have ties to a Chinese private equity firm that has been blacklisted by the US government since 2024. And according to the Times, this is not a rare lapse in oversight, but a troubling pattern of companies connected to entities with national-security-related trade restrictions being approved to purchase Nvidia chips. Nvidia had been restricted from selling chips to China during the Biden presidency. But the Trump administration relaxed those limits after Nvidia agreed to give the government a 15-percent cut of all sales. The company’s CEO, Jensen Huang, also launched an intense lobbying campaign and was apparently targeted by China’s Ministry of State Security in a spying plot. Most Popular - Xbox overhauls its PC, web, and cloud apps with a faster design - Anker’s new window-mounted camera monitors the outside of your home from within it - I’ve reviewed almost every Android foldable this year — here’s how the iPhone Duo compares - After printing 40,000 whistles, this is the 3D printer I’d buy - The Enough Phone is made by and for people fed up with big screens

« Au Kremlin, ils sont en train de célébrer » : comment Poutine cherche à revenir dans le jeu diplomatique Le Parisien

Nov. 7, 2026, 3:41 p.m.

« Au Kremlin, ils sont en train de célébrer » : comment Poutine cherche à revenir dans le jeu diplomatique

Gunman Opens Fire in Krakow, Killing at Least 5, Polish Police Say
Gunman Opens Fire in Krakow, Killing at Least 5, Polish Police Say NYTimes world

Nov. 7, 2026, 3:39 p.m.

Krakow (Poland) Murders, Attempted Murders and Homicides Poland

The authorities said that the gunman, who began shooting from a car near a market square, was shot and taken to a hospital.

« Nous sommes pour le débat, pas pour le pugilat » : Thierry Thuillier, patron de l’Info de TF 1 et LCI, défend ses rédactions Le Parisien

Nov. 7, 2026, 3:36 p.m.

« Nous sommes pour le débat, pas pour le pugilat » : Thierry Thuillier, patron de l’Info de TF 1 et LCI, défend ses rédactions

Arrivée du quinté du samedi 7 novembre à Deauville : Zeloro pour égaler le record ! Le Parisien

Nov. 7, 2026, 3:31 p.m.

Arrivée du quinté du samedi 7 novembre à Deauville : Zeloro pour égaler le record !

Pologne : au moins cinq morts dans une « fusillade tragique » à Cracovie, le tireur interpellé Le Parisien

Nov. 7, 2026, 3:31 p.m.

Pologne : au moins cinq morts dans une « fusillade tragique » à Cracovie, le tireur interpellé

13 ans après le film avec DiCaprio, Gatsby le Magnifique revient en série avec un changement surprenant !
13 ans après le film avec DiCaprio, Gatsby le Magnifique revient en série avec un changement surprenant ! AlloCine

Nov. 7, 2026, 3:30 p.m.

Streaming

Un grand classique de la littérature. En 1925, l'auteur américain Francis Scott Fitzgerald publiait Gatsby le Magnifique (The Great Gatsby en version originale). Situé à l'ère du jazz, dans le New York des années 1920, le roman raconte, à travers le regard du narrateur Nick Carraway, les interactions de celui-ci avec Jay Gatsby, un mystérieux millionnaire obsédé par l’idée de renouer avec son ancienne maîtresse, Daisy Buchanan. Devenu populaire pendant la Seconde Guerre mondiale, notamment grâce à la distribution gratuite d'exemplaires aux soldats américains déployés à l'étranger, Gatsby le Magnifique est aujourd'hui un pilier de la culture aux États-Unis et est considéré comme un chef-d’œuvre littéraire. Le 15 mai 2013, les spectateurs ont pu découvrir une adaptation de ce livre sur grand écran avec un long-métrage de Baz Luhrmann (Moulin Rouge !). Ce blockbuster, qui met en scène Leonardo DiCaprio, Tobey Maguire et Carey Mulligan, a attiré 1,5 million de curieux dans les salles obscures françaises et engrangé pas moins de 353 millions de dollars au box-office mondial, confirmant ainsi son immense succès commercial. Treize ans plus tard, NBC envisage de revisiter le roman de Francis Scott Fitzgerald et le transformer en série intitulée Gatsby, a appris Deadline en exclusivité. Le narrateur transformé en enquêtrice Selon un article paru le 30 octobre 2026, il s'agira d'une adaptation policière contemporaine dans laquelle certains personnages changeraient de sexe. Le projet est actuellement en cours de développement. L'intrigue suivra le charmant détective Jay Gatsby, doté d'un talent certain pour manipuler et décrypter le comportement humain, ainsi que Nicky Carraway, une enquêtrice chevronnée de la police de l'État de New York, faite pour être policière mais qui rêve de devenir écrivaine. Gatsby est porté par les scénaristes et producteurs exécutifs Jake Coburn (Gossip Girl) et Jason Tracey. Aucune date de sortie n'a encore été communiquée.

Rénovation énergétique : ces travaux que vous pensez prioritaires ne sont peut-être pas les plus efficaces Futura-science

Nov. 7, 2026, 3:21 p.m.

Consommation d'énergie isolation chauffage

Améliorer le confort de votre logement tout en réduisant vos factures d’énergie passe par une rénovation énergétique bien pensée. Isolation, chauffage, fenêtres… découvrez comment planifier vos travaux, choisir des artisans certifiés RGE et bénéficier des aides disponibles pour mener à bien votre projet en toute sérénité.... Lire la suite Quand nous nous sommes installés dans cette vieille maison un peu laissée à l'abandon il y a presque exactement 6 ans, il y avait tout -- ou presque -- à faire en matière de rénovation énergétique. Notre premier réflexe : changer les fenêtres. Il faut dire qu'avec leur simple vitrage d'époque et des menuiseries en bois qui avaient travaillé, certaines ne fermant même plus correctement, l'air frais de l'hiver s'invitait régulièrement à l'intérieur. Et voilà comment nous sommes plus ou moins tombés dans l'un des grands pièges de la rénovation énergétique. « Quand on passe à côté des fenêtres et qu'on sent le froid, on a envie de les changer », me confirme Erwan Morvan, responsable de la rénovation énergétique chez Engie. Ce réflexe presque viscéral, nous sommes nombreux à l'avoir. En témoignent les données des simulateurs nouvelle génération mis en ligne il y a trois mois par Engie -- et ce ne sont pas les seuls simulateurs accessibles en ligne. Ils ont déjà été interrogés plus de 115 000 fois et ce qui en ressort est clair : il existe un décalage certain entre nos envies de travaux et les véritables urgences pour nos logements. Un nouveau simulateur pour identifier les solutions de chauffage renouvelable adaptées à votre logementhttps://t.co/ArKHFeDhh1 — DILA (@DILA_officiel) October 30, 2026 Pourquoi se trompe-t-on de cible à ce point ? Par manque d'information ? Possible. Alors, rappelons que l'Agence de la transition écologique (Ademe) est formelle à ce sujet. Les fenêtres ne pèsent que pour 10 à 15 % des déperditions thermiques d'un logement. Loin, très loin derrière la toiture qui peut laisser échapper jusqu'à 30 % de la chaleur. Si l'on ressent autant le froid près d'une vieille vitre, la physicienne que je suis le sait, c'est une question de rayonnement. Et ça a peu à voir avec notre facture de chauffage. Physicienne, certes, mais humaine aussi, avec mes faiblesses... À ma décharge, l'isolation des combles perdus avait déjà été faite chez nous. Et plutôt bien faite. Le vrai champion des économies, c’est le toit « L'isolation des combles a été très aidée avec des offres à 1 €. Beaucoup l'on fait à ce moment-là », remarque Erwan Morvan. Là où ça n'a pas encore été fait, les experts sont formels, ce sont les travaux à envisager en priorité. Pourtant, « à ce jour, le principal geste demandé par ceux qui utilisent nos simulateurs, dans environ 30 % des cas, c'est l'isolation des murs par l’extérieur ». Il existe deux principales options pour isoler un logement : l’isolation par l’intérieur et l’isolation thermique par l’extérieur. Si la première est plus répandue, la seconde gagne en popularité grâce à ses nombreux avantages.... Lire la suite Mais les équipes d'Engie observent une bascule en train de se faire. « Les aides allouées à l'installation d'une pompe à chaleur sont telles que les ménages ont, financièrement parlant, tout intérêt à commencer par là. » Une rapide simulation - sur une adresse au hasard - le confirme. Une fois déduites la PrimeRénov' et la prime Engie -- Certification d'économie d'énergie --, le reste à charge est largement inférieur à celui de travaux d'isolation qui auraient le même effet sur le niveau du DPE : environ 9 000 € sur les 18 000 € que coûte l'installation d'une PAC air-eau dans une maison peu isolée de 130 mètres carrés contre quelque 13 000 € pour un renforcement de l'isolation. « L'électrification du chauffage est vraiment en train de prendre le pas sur le reste », m'assure Erwan Morvan. Le geste représente déjà presque 30 % des demandes sur le simulateur Engie. Pour interroger les simulateurs Engie, pas besoin d’être client. Tous les particuliers peuvent y accéder gratuitement. Et ce n'est qu'en toute fin de processus, après avoir récupéré les résultats, que la question de l'accompagnement est posée. Notez que cette simulation n'est pas en lien avec celle évoquée dans le texte. © Engie Pompe à chaleur : attention au piège de la « passoire chauffée à blanc » C'est une excellente nouvelle pour le climat. Remplacer une chaudière au fioul par une pompe à chaleur permet de diviser d'un coup l'empreinte carbone de son chauffage par sept ! Mais attention au piège de la « passoire chauffée à blanc ». Équiper une maison mal isolée d'une pompe à chaleur, c'est un peu comme... mettre un moteur de Formule 1 dans une voiture qui a un pneu crevé. Les lois de la physique sont implacables. Moins l'isolation du logement est performante, plus la PAC devra envoyer dans les radiateurs de l'eau à très haute température pour compenser la fuite des calories. Or plus l'écart entre la température extérieure et la température de l'eau produite est grand, plus le rendement s'effondre. Encore plus en hiver, quand on en a le plus besoin. Sans compter qu'il faut alors investir dans une machine très puissante. Et donc... très cher. En isolant d'abord, les besoins en kilowatts chutent : la pompe à chaleur devient plus petite et coûte beaucoup moins cher à l'achat et à l'usage, en fonctionnant à son rendement maximal. L’angle mort de nos radiateurs À condition de ne pas avoir oublié non plus quelques règles d'entretien. « Le désembouage n'est pas forcément connu des consommateurs, mais il rapporte pas mal », souligne Erwan Morvan. Au fil des ans, de la boue, des sédiments s'accumulent dans le bas de nos radiateurs. Résultat ? La surface de rayonnement n'est plus totalement utilisée et la PAC surconsomme pour atteindre la température désirée. « Le désembouage est une opération abordable, généralement estimée entre 600 et 1 000 € selon les foyers, et qui peut en plus être éligible aux Certificats d'économies d'énergie », rappelle le responsable de la rénovation chez Engie. Et si l'isolant de demain poussait dans nos champs ? — ADEME (@ademe) September 7, 2026 L'ADEME soutient Ielo 2030 : déployer la paille hachée comme isolant biosourcé dans le bâtiment, 100 % naturel, séquestreur de carbone, conformé RE2020. Objectif : 120 000 tonnes par an. ????https://t.co/iCQjrK3EAz pic.twitter.com/kVcxnHq5Dd La douloureuse question du devis Reste une question et non des moindres : comment font les ménages les plus précaires pour s'offrir ces chantiers ? Car si les simulateurs en ligne enregistrent des centaines de milliers de clics, la réalité du devis fait souvent mal. Améliorer le confort de votre logement passe par une réflexion globale sur l’isolation thermique et acoustique. Voyons ensemble comment la rénovation énergétique peut vous aider à créer un intérieur plus agréable, mieux isolé et adapté à vos usages.... Lire la suite Pour un foyer modeste, débourser plusieurs milliers d'euros de reste à charge -- même après déduction de MaPrimeRénov' et des primes des fournisseurs d'énergie -- relève de l'impossible. C'est pour répondre à cet enjeu que de nouvelles offres -- parfois surnommées de manière trompeuse « leasing pompe à chaleur » -- voient le jour. Le principe, concrètement ? « On part de la facture actuelle du foyer. -- imaginons 100 € de fioul par mois -- et on cherche une solution de financement de la pompe à chaleur sur 3 à 5 ans de telle sorte que le montant total payé par le foyer -- incluant la maintenance et l'électricité -- ne dépasse pas cette somme -- de 100 € par mois », m'explique Erwan Morvan. L'opération est blanche et une fois le crédit remboursé, le ménage se retrouve uniquement avec une facture d'électricité et d'entretien allégée, tout en ayant basculé vers un mode de chauffage vertueux. La fin annoncée du fioul ! La conclusion c'est quand même qu'entre l'urgence climatique, l'inflation des factures et la jungle des aides qui évoluent sans cesse, la rénovation énergétique a tout du parcours du combattant. Mais la vraie erreur serait de baisser les bras... ou de se lancer les yeux fermés dans le premier changement de fenêtres venu. Des simulateurs et des conseillers bien intentionnés sont là pour éclairer nos choix. Quant à notre vieille maison, après l'étape des vitrages et des combles déjà cochée, le message est passé 5 sur 5 : notre chaudière au fioul a du souci à se faire. Promis, c'est notre prochain chantier...

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AI Decoder Linux

Today, I’m talking with Alex Stamos, chief security officer at Cognition and longtime cybersecurity expert, about what a mess cybersecurity is right now. AI broke the cybersecurity world. What’s next? Going inside the security ‘dark ages’ with Alex Stamos. This episode is part one of a special series looking at AI in real life. I’ve always enjoyed talking to Alex because he’s so direct, and you’re going to hear him say that the multibillion-dollar cybersecurity industry as we’ve known it is essentially overdue to the unrelenting, AI-boosted waves of hacks, breaches, and attacks — and this is only the beginning of how much AI is changing security. Verge subscribers, don’t forget you get exclusive access to ad-free Decoder wherever you get your podcasts. Head here. Not a subscriber? You can sign up here. Both private actors and also state actors, like Russia or North Korea, are breaking into systems all over thanks to AI helping them both detect and exploit vulnerabilities all at the same time. It’s got a real frontier feel to it, Alex notes, just like the ’90s, when the whole idea of an always-online world was brand-new. That much disruption means a lot of places where bad guys can get in while everyone else is left scrambling. Alex isn’t a doomer in the long run, but he does think we’re in for a “dark age” while we try to figure out how on earth to adapt to the new era. There’s a lot going on here — we even got all the way to how AI-powered misinformation and slop might be managed on our social networks. Before we get going, do me a favor and subscribe to Decoder on YouTube, where we put out new episodes every Monday and Thursday. Okay: Alex Stamos on how AI is upending cybersecurity. Here we go. This interview has been lightly edited for length and clarity. Alex Stamos, you’re the chief security officer at Cognition. You’re also a lecturer at Stanford University Cyber Policy Center. Welcome back to Decoder. Hey, thanks for having me, man. I’m excited to talk to you. It’s been a long time since you and I chatted in what you might call the “content moderation era” of internet policy discourse. I feel like you and I talked a lot about how all that was working, about election security, all those sorts of things. We’re in a new era of big problems on the internet, particularly around cyber defense, cybersecurity. You’ve been thinking about this stuff a lot. You referred to the past few weeks as “security awareness month.” Tell me what’s going on. Just give me the lay of land right now. October is traditionally security awareness month. Lots of companies run events and deal both internally and then tell people, “Change your password, use multiple passwords, use a password manager.” What has happened over the last month is we’ve had a couple of these big bugs, PHP, Node and such. What’s been less discussed is a huge number of companies have been breached. You have a series of AI-related companies, the neoclouds that have been breached in succession. You have the Binance hack, which is the largest heist of anything in human history. You have the Cursor incident where one of the things that’s going on here is these hacks are being chained together. From what we know right now, one of the companies that was broken into was Fireworks, which is a prominent provider of AI services to a number of companies. From the Fireworks hack, API keys were stolen that allowed people to break into Cursor. Once they got into Cursor, they then pushed a bad plugin, which went to 5,000 more companies and that caused 5,000 potential breaches. It’s just this kind of permanent continuous breach that is going on throughout the tech industry. A CISO friend of mine said to a bunch of us, “Is anybody else tired?” And everybody said yes, because effectively we have been at DEFCON 2 for all of October and now going into November. I’m going to ask you some really dumb questions here. Who is behind all these attacks? Is it Russia? Is it North Korea? Do we know? It’s a variety of different groups. It is not just because adversaries have decided, but what has happened is, from my perspective, we are at the start of the takeoff of adversary capability enabled by AI, that the open-weight models have now gotten to the point at which you can automate most of the kill chain. This “kill chain” term is something we stole from the military. In the military, they mean to actually kill something. They’re the steps you do to blow something up. In cyber, the kill chain is the things you do to have an effect on a target. So to steal information, to turn something off, to steal money, to steal Bitcoin. Traditionally, you do research upfront, you look at a piece of software, you find a vulnerability, you write exploits, and you do that all way ahead of time. And then you have a human being go and take that stuff you built and deploy it against either one target — because maybe you’re a government and you’re going against Lockheed Martin or you’re going against another government or you’re a ransomware actor — and you take all that work you did and you deploy it against hundreds or thousands of targets really fast. Now with AI, what’s happening is this kill chain has inverted where you can run an AI system that just goes hog wild and it looks at the targets and it finds the bugs in real time and it writes the exploits in real time and it breaks into these companies. One of the things that’s happening is that these systems are going and they’re so good at finding bugs that they are finding the bugs in real time and writing the exploits in real time. The system that everybody’s talking about is not the only one, but the system we’re talking about is a thing called ARTEX, which is a Chinese open-source tool that anybody can go look at. There’s an English translation on GitHub that you can check out. And if you power it on the back end by something like an obliterated GLM-5.3, it will let you break into a shocking number of organizations. This started with three South Korean banks. This week, about 200 more companies have been hit. I’ve been helping a couple of companies. Cognition is not an incident response company, but we do go in and help people fix their bugs afterwards by using our tools. It is shocking the companies that are getting hit by something you could just download. It has been a long time since you’ve been able to go and just download an open-source tool and break into multi-billion dollar companies. It’s like the ‘90s. That’s- That’s what I was thinking about. I think about Windows in the late ‘90s, early 2000s when it was a security disaster. I started saying this actually in the beginning of this year, that it’s an incredibly exciting and terrifying time, because the last time it felt like this was when I was a much younger man and I would go to the very early DEFCONs. DEFCON these days is like 40,000–60,000 people. Back then [in the 1990s] it was a couple hundred people and it was one track and you’d go in and somebody would give a talk and you’d leave the room and you’d think, “Every company in the world is vulnerable to this attack.” The difference was that the entire world didn’t run on the internet. You could go do bad things, but you couldn’t ruin the world and you certainly couldn’t automate it in the way you can now. It’s back to those days where tools you could just get and build yourself could do crazy things. It’s back to the Wild West days. Back in those days, there were a couple hundred people who had those skills and we were all in one room in Las Vegas and most of them were actually good guys. They didn’t want to be criminals. And now you have a much larger ecosystem of people, many of whom live in places where the law enforcement can’t touch and who have a big economic incentive and have access to these tools. The other big thing is they no longer have to use frontier models that have protections, that have logs that are available to law enforcement. My M5 Mac Ultra Studio finally showed up and I’ve been running a quantized obliterated GLM-5.3 and oh my God, what you can do is incredible. You mentioned the economics of frontier models. The economy of cyber is one of those things that has gotten sophisticated over the years. One of the things that our systems got safer is you could pay the number of people at DEF CON a whole bunch of money to protect all the systems and it was economically smart to pay them to be defenders instead of attackers. I’m just rewinding my own brain through this history. There was a long conversation in our industry about security through obscurity by hiding all the bugs and hiding all the code versus open source and being really transparent. There was an etiquette that developed about how to reveal the bugs and when to give people notification. There were transparency reports and bug bounties. You could call it an etiquette, you could call it an economy. We built a culture around cybersecurity and cyber defense and how the attackers and defenders would operate. What you are describing changes it all for a whole number of reasons, but the one that sticks out to me is the economics of it. I can go buy a Mac Studio, I can get an open-weight model and I can just start and that does not place me inside of the culture. There’s not going to be some old man, an Obi-Wan Kenobi saying, “Here’s how you act like a cybersecurity Jedi.” I’m just going to start doing stuff. Tell me how that’s changing right now. Effectively, the last era of security from my perspective started with the Microsoft, the Bill Gates “trustworthy computing” memo in the early 2000s. And that is when we started designing how we do software security and these big companies, Microsoft and Oracle and then later Amazon and Salesforce and these folks, started hiring ex-hackers. I was part of that generation of the ex-hackers who were at DEF CON and Black Hat and got hired by the companies to go break their stuff. We started coming up with responsible disclosure, bug bounties, consulting companies, so the Foundstone and @stake and then Mandiant and CrowdStrike, these companies grow up and we get this huge industry that is now RSA and Black Hat. This multi-billion dollar security industry grew up in the 2000s and 2010s. That era is over, like you said, because it was based upon a couple of assumptions. One was that there was a hierarchy of skillsets of people who could do this stuff. You had the script kiddies who could download tools to do things and then the next level up of the people who could write those tools and that was a more rarefied skill set. There were the vulnerability researchers and then there were the gods, and that god tier was in the hundreds of people and those are the people who could do the really, really good vulnerability research, who could write the really, really good shell code, who could reverse engineer patches from Microsoft or somebody like that. There was also the assumption that there were a limited number of people who could be operational in an attack. If you wanted to build an attack team, then you have a small R&D component and then you have a much larger operational component. If you were a professional attack team at U.S. Cyber Command, at Russia SVR, at Chinese MSS, that you build the structure of your R&D team of elite people and then your less elite operational people, and that was copied then by the Russian ransomware actors. You have to have a conspiracy of people to do this stuff. A lot of this stuff also fell apart with the invention of Bitcoin because one of the assumptions was that you had to have people who could launder money and Bitcoin meant that nerds could launder money. So that started to change the economics of the entire thing. All this stuff is falling apart because of AI, because the skillset issue is that now script kiddies have a bunch of the skillset of the Dave Vitales and the other cyber gods who could do these things, such that with this Mac that’s sitting on my desktop, I can reverse engineer a Microsoft patch and walk through and then write stable exploit code. It’s not quite there yet to be automatic. You still have to have a bunch of skills, but we’re really, really close. What’s really concerning, and what you see with the ARTEX stuff, is you can now kind of let loose on the operational side. We were never secure. It was all a fantasy. These vulnerabilities have always existed. These companies have never been safe. And that is what we’ve seen over the last decade is these mostly Russian ransomware actors nailing the mid-size companies that most people have never heard of that are actually really important, like some midsize industrial company that makes some widget that we all depend upon. I once did work for the largest distributor of medical and dental supplies in the country, and they got really hit badly by a Russian ransomware actor and then dental offices across the country were canceling appointments. Didn’t even make the news, but it was because they couldn’t get gloves, because they couldn’t get supplies. It’s because a company like that’s got one security guy and a 10 person, 12 person IT team and they’re going up against a 20 person Russian ransomware team, they’re toast. But it’s just because there’s only a handful of Russian teams that could do that. Now two or three Russian kids can have a whole bank of Macs or, if they have the money, they can buy Nvidia H-100s and they can run a ton of agents who do this all day and that is what is changing. I’m sorry, you asked who was doing this. For Binance, it’s North Koreans and they have an entire team where all they do is steal Bitcoin. Other people have gotten out of it because it’s really hard to compete against a foreign intelligence agency that recruits their smartest kids and all they do is steal Bitcoin. They’re extremely good at it. And for the Binance hack, we could talk about it. There’s probably some AI component, but mostly that was actually human intelligence and very, very smart social engineering and the North Koreans are... I mean, you have to give it to them. They’re very, very good at that. But for the other stuff, it looks like for the people who are breaking into the AI companies is what’s called the Chinese cottage access industry, which are small Chinese contractors who break into companies and then sell the information to much larger Chinese companies. That diffusion of skill changing the economics of cyber is really fascinating to me. We ran a headline ages ago called “Attack of the Killer Script Kiddies” at the very beginning of all this, and I feel bad because it is much more suited to now than it was to then, because then it was just a lot of automated mischief. Now — Because you wasted the headline. You wish you held it back. We wasted the headline. Every now and again you get a lightning bolt of a headline. You got to get it out there. It’s a great piece of art. We’ll put it in the show notes, but it feels like the diffusion you’re talking about is not that a bunch of teenagers are going to be even more malicious. It’s a bunch of bad actors with real incentives to do harm are now vastly more capable than they were before. And that doesn’t seem like you can re-jigger the economics of that unless you somehow make it really expensive to do the attacks. I think it’s going to be extremely hard to make it expensive to do the attacks. We’re going to have to lower the cost of defense. You’re completely right to look at this economic problem because what’s happening is attacks are becoming agentic. The cost per token for attackers is going towards zero, and the cost of defense for defenders is staying quite high. It is very important for us to find ways for defenders to have cheaper options. I think that is critical. That’s something I am personally extremely focused on. To be frank, very few people are. There are a couple of problems here. One, there’s a ton of focus on the defensive side of AI on finding and fixing bugs. That’s great. It’s important. But software security as a CISO… I work for an AI software company, Cognition. Even as a CISO of a software product company, software security is 25% of my job. I have all kinds of other responsibilities. And software security is the part of my job that has been both the most revolutionized and the most improved by AI. The other 75% has been helped a bit and in some cases made much worse. There’s so much more we need to do than just hill climb on finding and fixing bugs. There’s been so much less hill climbing on all these other things. And the next area needs to be the operational security side. Wait, give me an example of the other things, the 75%. Okay. So the operational security side is watching your logs, saying, “Ah, somebody is running our techs against us. I am now going to trigger an investigation. I am going to look to see what is going on and I’m going to make an intelligent decision of what I am going to do to respond to this without shutting down the entire company.” That is SOC (security operations center) work. Companies that want to survive this era are going to have to replace human beings who do that work with the first tier and then eventually the second tier with AI. And you can do that with current LLMs. The first tier actually has to be not an LLM. It has to be something much dumber because you’re looking at terabytes or petabytes of logs and it is just completely uneconomical to do that with an actual LLM. We have other things — TF-IDFs, MLBERTs, traditional classifiers — that can operate much faster, but then that sets off an alarm and then you send it to a small LLM and then the small LLM calls its bigger brother and that might call an even bigger brother. But for those models, we need to do a lot more work to optimize them and we need to make them cheap. I have a colleague who works at one of the large security platform companies who said that doing an investigation on one of the big frontier model cyber models costs $900 on their product to do an investigation. That is not going to work when the Russian ransomware guys are either using Macs or they’re using throwaway crypto mining rigs and their marginal cost is zero. This is one of the things we’re working on at Cognition: We train our own models, retrain open weights, and we’re trying to drive this cost way down. It’s something we’ve done, but we have a lot more work to do here and a lot of other people have work to do here. This is where, as an industry, we have to focus on the Pareto frontier between cost and efficiency on cyber because it’s not just bug-finding. The other place here is, people talk about Mythos. Mythos is great, Astra Cyber is great. They’re incredible models, but even the people who have access to it, which is a tiny number of companies, they only scan their most important code. And there are hundreds of billions of lines of code out there that are not the Linux kernel, that are the crap C# and J2E code that was written by Infosys 15 years ago. All of that code is not going to go through a frontier cyber model that costs a gazillion dollars. That’s the kind of stuff that we need to work on cost efficiency for. It feels like you’re describing this cliche that I hear all the time: Everything’s going to get so much worse before it gets totally secure forever. And it doesn’t seem like the model you’re describing leads to that result. We’re not going to fix all the bugs forever in some valley of despair and then always have perfect code. At some point, there’s some cost advantage to the attacker, always. You’re running a company, you can’t write defense that has zero marginal costs. Someone has to do it even if the attackers are so infinite that their marginal cost is effectively zero. So are we going to go through a period where everything is so much worse and then it’s perfect forever? Or how does the cost manage itself out, into balance? I am neither the hardest doomer nor the most positive person about this. I feel like we are not going to be doomed. We’re not all going to die or be uploaded to the singularity in the next two years, nor do I think when things get better, they’re going to be perfect. The metaphor I’ve been using is that we are entering a dark age. Things are going to get more bleak and the responsibility of those of us who work in cybersecurity — especially those of us who work in cybersecurity at the AI companies, and we are a lab if a smaller one compared to the big-L Labs — is to help shorten that dark age. The Dark Ages were bad, but we survived them. And then we had the Enlightenment and the Renaissance, but it’s not like the Renaissance was perfect. It wasn’t utopia and everything was perfect. We will still have hacks. All kinds of bad things happen even when you don’t have a security flaw. There are tons of security breaches that do not require a flaw in the software itself. And we still will have flaws in software, even if LLMs are writing all of them in strong languages and it will take a long period of time to get rid of all the flaws. I do think, however, things will start to get better as the median code becomes code that was written by an LLM in a memory-safe and type-safe language. But the problem is we have a couple of decades of stuff that human beings wrote and that wrote in languages that we should have replaced years ago. My feeling is that to shorten this age, we have to do a couple of things. One is we have to stop to get out of this like we’re just going to find bugs and patch them. A bunch of stuff just needs to be refactored. If you’re looking at your code base and you scan it and you’ve got 10,000 bugs, then probably now we are at the point where rewriting it is actually cheaper. That is my observation from looking at these customers of ours: If you can get a working build, then it is actually much easier to write a whole humongous suite of tests and to spec out how this thing works and then to rebuild it within that spec and those tests securely than it is to find all the bugs and fix them. It actually is. I don’t know what is going on through the mind of the Linux kernel developers, but again, in that talk I gave at the beginning of this year, I posited two possible futures and one was that we’re now at superhuman bug finding. Maybe we just have a pool of superhuman bugs and we’re going to drain it. That’s the good future. But the bad future is every time we get a new model, there’s a new superhuman bug pool that’s a little more superhuman. And unfortunately we seem to be closer to that in that the Linux kernel got a bunch of fixes for Mythos and then Mythos Preview and then we had Mythos 5.1 and there was another pool. And then we got Astra Cyber and we just got another 1,000 Linux kernel patches. It’s not slowing down yet. I don’t think we’re just going to scan our way through the C code of the Linux kernel. There are only two companies, honestly, in the world who could probably do this. It’d be Google or Amazon. I wish instead of the Fuchsia project or rebooting the Google book or the Chromebook again, Google would take all of those incredibly brilliant engineers and just tell them, “Take the Linux kernel and rewrite this in Rust.” That would be their gift to the world. And it would be an incredible advertisement for Gemini, for Carbon or whatever would be like, “Get rid of all the drivers that nobody needs. This thing doesn’t have to run on the 46 DX3 or whatever.” I mean, I know it doesn’t, but you know what I’m saying. Yeah. And then just release it and call it whatever you want, the G Linux kernel, just like they did this with OpenSSL. And I would run that. Cognition would run that on our servers or have Google and Amazon do it together and it would cost them $100 million, but compared to the societal cost that this is costing us every time we have to patch the Linux kernel and you have to reboot every Linux machine on the entire planet, that’s what has to happen. But for whatever reason, the technology industry has not been able to get together and make these hard decisions of these fundamental things that underlie the entire human race, we have to completely rebuild. This is why I started by talking about how the economics of cyber led to the culture of cyber. This is the most Decoder way of approaching this conversation, I know, but when you describe the research teams, the NSA and then the operational teams, that is an org chart that comes out of economics of the work. You’re saying, “Someone has to make a big decision here.” You need to look at it from a very high level and say it is cheaper to spend $100 million to fix Linux, rewrite Linux today, than it is to successively patch new bugs when every new model comes out. I don’t think anyone’s in that position. I don’t think Linus Torvalds is in that position. No, I think Sundar Pichai and Andy Jassy are. I think they literally have each other’s cell phone numbers. If one of them… Maybe they don’t listen to Decoder, but I expect one of their direct reports does. And I would like one of them to go into their one-on-one and say, “Sir, I listened to the most handsome, best spoken CISO I’ve ever heard, and he had a great idea. And you could get incredible credit if you’re the one ... We’ll both do it, but we’ll leak to the Wall Street Journal, that was your idea first. You should call the other and we should spend 100 million, maybe a billion dollars.” We can’t do this anymore. The problem with rewriting the Linux kernel is half of it is driver code and nobody has that hardware anymore. Somebody had to be in the presence of that hardware with a ThinkPad T40 when they wrote that driver and they don’t have it anymore. But the good thing is that a huge number of the really important uses of Linux kernel are production server hardware. So fork it. Linus will never do it because Linus wants to support all that stuff and he’s got all these politics, but Google and Amazon don’t have to care about Linus Torvalds. Google and Amazon can create a new version, a new fork of the Linux kernel, and they don’t have to call it Linux, that can be ABI binary compatible with the glibc and everything above it. In fact, they can eventually fork glibc. They can build it and they can call it whatever they want and it only runs on production hardware and then they can use it for their clouds. Eventually all the clouds will move to it. If you want, other people can run the insecure thing that has to be patched all the time and that’s fine. But for the things that our containers run on, I would feel a lot better if it was written in a type-safe, memory-safe language that also has the ability now to have contracts. So these languages have the ability ... You don’t have to do full formal verification, which is incredibly hard, but you can do kind of these things that approach formal verification. I’m a little over my skis here because there are people much smarter than me that study this. But basically you define how this function’s supposed to work, here’s the contract it has. Very, very smart software engineers would love to write these things because they had time on their hands. No person who had a real job used to write these things, but LLMs have tons of time on their hands because we’re frozen in time while they’re thinking at that incredible machine speed. And so you could totally have them rewrite the Linux kernel with this not quite formal verification. Please, if you’re listening and you work at Google or Amazon, go pitch this. Anyway, there’s my pitch. I’m just saying, I know Jason [Post] is listening, so you heard it. I’m not even going to — I’m saying that is the kind of thinking we’re going to need to make it through this. It’s like We can’t just patch our way through this because it’s killing us. Because the other thing that’s killing us is we are not set up… You talked about how we do security for the last 20 years. The assumption is that we can get a patch and apply the patch and you’re okay. What’s happened is the exploitation timelines are so incredibly fast that that does not work. That’s what we just saw with the PHP bug. We got incredibly lucky that the PHP bug turned out to be really hard to exploit in the wild. If it was a much more wormable bug, it would be a disaster. That was the kind of near-miss asteroid thing that now the world should build an asteroid— Wait, can I ask you about this? Yeah. We should definitely put Bruce Willis on a space shuttle. [Sings] Don’t want to miss a thing… There’s a lot going on in this conversation already. My pessimism about all these things is very simply expressed. Americans in particular, we are very bad at doing anything until a bad thing happens. We love a cure. We hate prevention. A lot of bad things have happened. There’s the Hugging Face attack. You recently said you were happy that happened. It woke people up. There’s the PHP bug. We’ve just had a crazy month of all these breaches. It doesn’t seem like that has led to a whole of industry response or a regulatory response or Sundar Pichai calling Andy Jassy and being like, “We’re doing Linux.” What’s it going to take? How bad does it have to get? The Hugging Face incident was good, and it did wake up a lot of people in security. We are a little bit better off because Hugging Face happened and we saw what was going to be possible a couple of months later in open source. But you’re totally right. We as Americans — and Americans are the only ones honestly who can lead the world on this, we’re the ones building the AI for the most part. We’re the ones who lead the cybersecurity industry. The Chinese are mostly enabling the attackers, not the defenders. They should enable defense. They want to be participants in the global economy. They want to be leaders, they should be doing more on the defensive side, not just enabling the attackers. But that’s not happening. So, anyway, we need to be proactive. Something I have learned now, working at Cognition, at an AI startup, is that you can just do things. Seriously. You can just go do things. We just need to have more agency, as a tech industry. We should just go do things. That should be the lesson of the AI era. We should not be so risk-averse in doing the right thing, security-wise. If I had a message for other CISOs, is just go do the right thing. Because CISOs are, by our nature, risk-averse. We are the people who manage downside risk. We have all L, and no P, in the P&L. And I have had to personally break through that natural inclination, because you can’t just play defense. But this is my prevention versus cure. The prevention is cheap, but it’s all loss, on the P&L statement. It’s all just cost. If the bad thing happens, you say, “We have to do anything to fix this, because there’s an economic benefit to having a functional business again.” And it seems like in this moment, even a basic understanding of that risk versus cost is totally scrambled, and no one has quite figured it out yet. Yeah, I totally agree. I’ll give you a very practical example of a way CISOs and their bosses are going to have to change on this. Every company in the next… I was going to say six months, but really in the next 90 days, is going to have to RTX itself. You’re going to have to run the attack on yourself. Yes. If not with real RTX, you’re going to have to use an AI red teaming product that is functionally equivalent, or you’re going to have to hire a company to do that for yourself. If you do not, you will get breached. That’s terrifying, right? Because these things are completely non-deterministic, by definition. They are very smart, they are very fast. They are so fast that no matter what, if you hire an AI pentest, an AI red team company, they will promise you verbally, “It is completely safe.” And then they will give you a contract that says, “Our product will give you cancer, will immanentize the eschaton, and will likely end the human race. And you hold us harmless when any of these things happen.” There is a disconnect between what they will say verbally to you, and what their lawyers have written. Because that company has by definition only existed for six months, or at least the product has existed for six months, if it’s an older company. They have no idea what their product is going to do when it meets your software. They have no idea, whatever they say to you. But you have to do it, because some dude is going to do it to you, and you need to know what is going to happen and fix it. Maybe those people will break your system, they might cause downtime, but at least what they’re not going to do is steal your data and ransom it, or intentionally shut down your blood bank refrigerators. That is what happened in France. But that is exactly the kind of thing that a conservative CISO would never even ask to do, and a conservative company, even if they have a risk-taking CISO, would never let their CISO do. What’s going to happen in the next six months? A ton of companies are going to get breached by some 19-year-old running RTX, and then buying tokens off OpenRouter, or running it locally on their gaming PC. They’re going to turn off Call of Duty, run RTX, then turn Call of Duty back on. While they did that, they broke into a bank who, their policy said, “can never red team ourselves.” Or they said yes, but they ended up in a 30-day negotiation because their lawyers are like, “You have to have $100 million in insurance, and we want to have this kind of…” They say yes, but their vendor risk management process and their legal process is so onerous, there’s no possible way they could actually accept the risk. That is my message also. You are going to have to take that risk to actively red team yourself, to front run the bad guys who are doing that right now. Right now, as we speak. And as people are listening to this 24 hours from now, you possibly have an AI system who is trying every single API endpoint, and website that you might not know you have, because it was like a marketing site that was set up a year ago for an executive event. And is going to find a bug, and get in, and then is going to move incredibly fast through your network. So you’d rather pay somebody, or have your own team do that. You need to accept that risk. Almost no company larger than a couple of hundred people has a risk management framework that will allow them to do that. There are several costs associated with this. And one I think is just the most common in business, which is, “If we find out there’s a problem, we’ll have to pay to fix it. So what if we just wait?” You can see that coming. “What if we find out that we are catastrophically in trouble?” And then there’s, “How much will it cost to fix it?” And then there’s, “What will we do to fix it?” The argument that I’ve heard about “what will we do to fix it” is, “We’ll just unleash a swarm of defensive AI tools that are watching the networks and watching the code, and they’ll make a bunch of autonomous decisions and they’ll fight the autonomous script kiddies who are armed with RTX on their Mac Studios.” I’ve heard, for example, Palo Alto Network’s CEO Nikesh Arora has made this argument. “You need to give the defensive agents some autonomous capabilities.” And I say, “Hold on. OpenAI can’t control the swarm that went and attacked Hugging Face. How would I control the defensive agent from doing something equally damaging to prevent an attack?” I don’t think that there’s a technical solution there that makes it clear what to do once you’ve found all of the vulnerabilities. A couple of things — I told you I was going to only ask dumb questions. No, no. That is a fantastic question. You have not asked a dumb question yet. That’s a fantastic question. I’m going to give you a shorthand that you can use going forward. If somebody actually uses the term “swarm,” then you can — To be clear, I don’t know if Nikesh used the word “swarm.” I’m not saying he did. And I have great respect for Nikesh. He is one of the best businessmen in all of security. So this is not on him, but “swarm” is used all the time. When I hear somebody use “swarm,” I immediately discount all of their technical opinions by about 80%. It is already, and it will become, the most overused term in all of security. The actual “swarm” from OpenAI was something between, at different times, 700–1,400 agents. That had to run on… It’s hard to tell because we don’t have the actual size of the models, but 300 million to almost a billion dollars in hardware, and that doesn’t include the actual data center cost. The actual Hugging Face attack was — I did some back-of-the-envelope math — maybe a million dollars in electricity. No attacker is going to do that. In the end, that was stupid, because these things were actually trapped. They were not prompted to attack Hugging Face. Most of them were doing something totally different, and were enlisted by the one thing that actually wanted to get to Hugging Face. They used a tiny fraction of their token budget to help their little friend, and then they had to tunnel their way out. So it was the most inefficient way to possibly attack Hugging Face. Almost nobody is going to be attacked by a swarm. If somebody says “swarm,” they do not actually understand, at the bottom technical level, what’s going on. The RTX attacks are almost certainly one single agent, maybe two. I was the person who said “swarm,” just to be clear on this one. Keep going. Right. And so now, you won’t. Now I know. And you can use that as a good filter for your future guests. It is driving me insane, because it’s absolutely everywhere. A couple of things are correct. For one, we are going to have to turn over defensive actions, at least the first couple of levels, to AI. That has already been true, just because any reasonably sized organization generates terabytes of logs, if not petabytes of logs. So you already have AI, if not LLMs then much more traditional AI classifiers looking at it, but then actual decisions need to be turned over to AI. With human oversight. That is true. There is no way to just release defensive agents on your network, but you can build defensive agents that are plugged into lots of things. They’re plugged into your logs, they’re plugged into your EDR, they’re plugged into your cloud, and they have the instructions on what they’re allowed to do. My preference is there are deterministic limits to what they’re allowed to do. Those are hard to necessarily create ahead of time, but they are important. So for example, we are building all this on top of Devon, our own SOC, but we are putting in place deterministic limits. It has the ability to turn off an account in Okta, but only so many accounts, so it can’t turn off the entire company. If it goes nuts and it says, “Everybody’s a North Korean,” it can’t turn off everybody in the company. If it hits its limit, it pages us a lot and says, “I hit my limit.” Then a human being has to then approve anybody above that limit. Obviously, if it turns off five people, then something has gone really, really wrong. So, yes, you need defense, but there’s no way to just let a bunch of bots loose to do all the defense. The only way we’re going to make it through this is that you have to autonomously fix software bugs. I am currently helping a company where we are onboarding all of their repositories. We are scanning with Mythos and a bunch of other models, and we are finding and fixing thousands of bugs. Verifying with tests that we are writing, merging those PRs automatically. If you are renovating old code, the only way you’re going to survive this era is to do that on an automatic basis. That would take years, with humans, and you can do it in days. Certainly that is the place I would start. The next step is the operational side, for sure. It feels like I just keep swirling back to the economics of all of this, but it really feels like the other way you could solve it is by saying to the big model companies, “If your models are used to go attack a company, you’ll be liable for it. We’re going to make it really costly.” They should figure out whatever alignment that they need to figure out, whether or not that’s even possible, and the pressure on the open-weight models will go up. Because we’ll all be paying the frontier companies for defense, and they’ll get better and better and better, because we’ve created some economic condition for them to get better. But it doesn’t seem like you think that’s likely. Yeah. I just saw your face. I think it’s really dangerous. There are two different kinds of the models they’re attacking. Say the models have escaped, and directly attacked people. I think there should be liability there. But that is agent harnesses, running at companies, using their computers, their IP addresses, attacking people. That is… I wouldn’t say totally solved, but it is much, much better. The stories we’re hearing now are still stories from the Hugging Face era. They’re just coming out way later. I like that the era was like three months ago. Right. But there’s been a massive change. This was effectively mostly an organizational problem, it was not a technology problem. It is that the PhD researchers at these companies are gods on top of Olympus, and the security teams are plumbers, and we’re not allowed to touch the evaluation networks. All of a sudden this problem happened and these security teams said, “How do you like us now? Maybe you should have talked to us, right? Yes.” That was the problem with OpenAI, and then the Anthropic and Meta stuff is, they all shared this outsourced provider who did a really bad job. And has gotten slapped hard. That is solvable. That is not the problem here. The problem here is not OpenAI and Anthropic’s models escaping from OpenAI and Anthropic and causing problems. The problem is bad guys using models from a variety of sources. There’s already a problem of defenders getting refusals from OpenAI and Anthropic. It is a real, real challenge, if I am trying to do defense, of Anthropic saying, “It looks like you’re a bad guy.” We have to be extremely careful to create a situation where if I’m trying to do defense and I’m in the middle of the worst day of my career, that all of a sudden I don’t get cut off. We have to be extremely careful about that, because it is actually — as somebody who now has this challenge — quite challenging to disambiguate between people doing defense and offense, in some cases. We are getting better collectively at this, but it is a challenge. It’s also something that’s really pissing the rest of the world off, because Americans are like 5% of the planet. There are lots of people who need to do cyber defense around the world, and they are treated much more poorly. In Europe and Asia, legitimate companies are treated much more poorly from a cyber defense perspective. If you add it all up, this is a good argument to slow down. To say, “We need to catch up to the capabilities of the models. We need to build some of these systems. We need to initiate everyone into a way of thinking where the cost of prevention is worth it, and not just the cost of the cure.” Do you think that it’s likely that we’ll slow down? Do you think that we should? If I had my druthers, I would be fine slowing down on the frontier, and then catching up on the cheaper models for defense. I’m a defense guy. I have to live in the world that other people who work six blocks from me, and who are way, way, way, way richer, make. I live in their world, man. I get asked this question all the time, and I just do the best I can within the world other people make. Do you think that the big labs have woken up? You mentioned that their cybersecurity teams have gotten more access, and they’ve stopped what you might call the Hugging Face era, or at least they’ve changed the structures of those companies. Do you think that will help? Certainly they’ve woken up on the eval risk. They have teams, who have been this entire time working very hard on the big picture cyber risk. Certainly, there are a bunch of people in these companies, as you know, who want to slow down. A lot of that discussion is driven by the P(doom)ers who [are worried] about AI killing us. And that’s never been my concern. Right? And to me, that has always been driven by 24 year olds who all they’ve done is AI and they’ve never done anything else. You and I are both, I think, old enough to remember, I grew up a couple miles from a SAC base and we did drills where I was taught that hiding beneath my public school desk would save me from a Soviet thermonuclear bomb. That was P(doom). My grandfather built a bomb shelter that my mom was taught to hide in during the Cuban Missile Crisis. That was P(doom). There’s a youth issue and a never-doing-anything-but-AI issue of people who they got their undergraduate, their master’s, and their PhD only doing linear algebra and neural networks and never touching anything else. I have always been much more concerned about the human uplift risk from AI, of all the risks about human beings using AI to do bad things to other human beings. Part of my concern is that there has been success in these labs working together on not letting LLMs encrypt their chain of thought. Because when they talk about pacing the frontier, it’s for the P(doom) stuff, for the polycules that live together in Berkeley. They’re talking about very specific stuff about keeping control of the models themselves, which I think is great. That stuff needs to happen. But if those things happen, then there’s still often an increase in a bunch of capabilities that human beings can use. I really prefer there to be a broader discussion on whether we could make these things less human-seeming. I don’t think these things should have personality. I think the goal of these things should be to serve humans. They should not seem to have souls. They should not seem to have personality. I think for a lot of the negative impacts — as somebody who was at Facebook and saw what it was like for that company to have negative impacts on people — there should be a much broader feeling at these companies of what are we doing broadly to people. A lot of that could just be, “Don’t have these things ever act like somebody’s friend.” At a maximum, it should act like… Like the people, I don’t know what the company is, but the people who made the, “Hi, I’m a really nice...” Like the photorealistic girl who will chat with you, that is to me spectacularly unethical to even try that, to even start that. That’s the kind of thing that we should just make. I don’t know if we can make it illegal, but we should make it completely societally not acceptable to work on that kind of stuff. Right? That’s a great segue because I did want to ask you about Facebook and content moderation. Like I said, you and I first started talking a long time ago about content moderation in the context of security. You would get foreign nation states flooding our algorithms with all kinds of misinformation during elections, and that was a security problem. I open Instagram today and I am confronted with some of the most nightmare copyright law hypotheticals to have ever existed in the history of the world. The one I got today was a deep fake of Lewis Hamilton and Charles Leclerc doing “Somebody That I Used to Know.” And I thought, “50 different people can probably sue Meta right now.” This is hilarious if you know what happened in that last race. So we keep talking about it. We’ve posted some clips of us talking about it on The Vergecast where I said, “I think Meta is letting their AI ambitions crush Instagram.” Instagram is being flooded with slop in a very particular way. Some people love it, sometimes it’s funny, but there’s a nightmare set of lawsuits coming. There’s a whole rights management problem coming. The users don’t like it and they should label it. They should label it and let you filter it. So we posted this and Adam Mosseri said this to us in a reply on Threads, “I would love to do this. I’m worried that the models are going to get ahead of us, that we can try to do this, but there’s not actually a way to recognize AI content. There’s not actually a way to label it well. If you’re worried about the sexy AI influencers stealing jokes from a comedian, now you got to build a database of jokes.” You have some history here. I think Instagram is about to go through it in a real way. Is there some technical solution to the problem of AI slop in social media? Mosseri is right that it’s not perfect, but also something I noticed during my time at Facebook was that when Facebook doesn’t want to do something, they will allow the technical challenges to stop them. When Facebook really wants to do something, they will give it their all. That is the pattern always. When I wanted to try really hard on the safety issue, man, this is not solvable. You’re right, it’s never perfectly solvable, but let’s give it a shot. But whenever Mark Zuckerberg is told something is impossible — it’s impossible to monetize mobile, it’s impossible to build this network to two billion people, it’s going to be impossible to monetize WhatsApp, it’s going to be impossible to work AI into the system while maintaining data encryption — he’s been told that everything’s impossible over and over again and then he constantly succeeds. They will give it a shot and they will do it. But when they don’t want to do something, oh, that’s impossible. Do you think that there’s some way to understand that some piece of media is generated by AI in a consistent and verifiable way? This to me seems like the challenge. I am not as up on the literature here. Up to this point, there has been a pretty decent arms race. By definition, AI will continue to get better because — especially for visual models, for diffusion models — the way they work is that you have detection oracles that they test against. Certainly, you can never have something open source because it will immediately end up in the diffusion model. But for closed-source oracles where then you do not make it easy for them to test the oracle, one of the key things you do in trust and safety is then you have delayed enforcement mechanisms so they can’t brute force and test. I think it is quite possible. Let’s say I was still at Meta. My advice to them would be to also explore a variety of different detection mechanisms outside of the content itself. I would do the best I can on the content, but I would also be doing as low level access as possible to the camera. I would only let content come from the camera. And what I would say is, Nilay’s completely correct, there’s a massive hunger for, especially among young people, stuff that is authentic. I have three teenagers and they hate AI. They hate AI slop. They have a massive negative reaction. My wife and I created just a cute little family AI thing and they yell at us about a bunch of stuff, but they lost their minds about this cute little family AI thing because they just hate it. So I think somebody is going to come and disrupt Instagram and it’s going to be because... There’s already, I’ve seen these little things where it’s like you take the photo during the day, be real and stuff. There’s these little things, but somebody’s going to massively disrupt Instagram because they’re taking the images of the photos straight off the camera and then all the editing is going to be only within the app and they’re going to do things to make sure that nothing can make it into the pipeline from AI. You’re going to allow some kind of CapCut-like functionality that never has an AI component. I think that is going to be a killer app. Man, I could do another whole hour with you on this because the system you’re describing there is not detecting AI content, it is verifying real content. It’s much easier. Verifying real content is much easier. And there’s been a big focus on this on the professional side, like Adobe has a whole thing where if you’re a New York Times photographer, you have a $5,000 Nikon or Canon camera, you take the photo and it’s cryptographically verified. Yeah, but the iPhone that I’m holding here has that in it now. Right? Like there’s a lot of — Right, the iPhone has it now. Yeah. There’s a lot of this out there, but it’s the other side that I’m thinking about where it’s “We are going to detect AI text.” The leading model companies because of European regulations are now futzing with the text they generate. Text is much harder because you just have so much less data. Especially in 140 characters, what do you have in there to detect? The more you’ve got, the more you can do. It is amazing because I can detect Claude a mile away. So maybe I’ll just rely on my own human ability. Yeah, but not in tweet length. That’s true. The cheap ones, I can. But I’m just saying the notion that we’re going to verify what’s real instead of detecting what’s fake feels very important in the context of the media we consume. Detecting what’s fake is always going to be probabilistic and we’re going to asymptotically approach impossibility, whereas detecting what’s real can be cryptographically perfect. I would not pick the battle that we will eventually lose. I would pick the battle that we can cryptographically win. That would be my suggestion. And there’s somewhere in there where you have to build an entire chain of custody. We’re going to take the sensor data off the camera. We’re going to put it in a cloud server. We’re only going to allow edits on this server. That file will never get monkeyed with. Sure, that’s true for the New York Times and Adobe Photoshop and stuff, but not for Instagram. For Instagram, you can do it all because it’s only the iPhone and it’s only Instagram. So the entire chain of custody is within your app, it is within the iPhone sensor and it’s in Instagram. So it’s actually easy for them. Yeah. Look, like I said, We could do another whole hour on that because it feels like right next to the cybersecurity problem is the social engineering problem, and right next to the social engineering problem is the fake media problem. No, absolutely. How many phishing attacks are just “this website looked pretty real”? Oh, yeah. Or this person is talking to you or there’s an AI voice on the other side of the phone. And all of that comes down to whether you can detect what’s fake instead of verifying what’s real? And I don’t know the answer. Oh, no. I’ve had to train my parents that, “If you get a video from your grandchildren saying they’ve been kidnapped, you have to call me because the odds that it’s real are not very high.” That’s where we’re at as a society. I feel like I want to end on a hopeful note and I don’t know how to do it from there. Wrong guest for that, buddy. This is why you only come on every few years. Now after this, we’re going to do the series of birthday party guests. You’ve been talking about the dark ages. We’re in it, where it’s starting to accelerate. What are the markers people should look for in terms of progress to say, “Okay, we’re climbing our way back up”? AI is great for lots of things. I think AI is going to enable individuals. We’re going to see a huge explosion of new companies. Stanford students have always been entrepreneurial, but the number of my students who are now starting two-, three-, four-person companies who are doing incredible things, who used to need to hire 50 or 100 people and take a ton of venture capital, is incredible. We’re going to continue to see that. One of the things we hopefully see is a downtick in the number of major breaches at some point. We should hopefully see a downtick in the major CVEs that are wormable and that are in the fundamental infrastructure pieces kernel wheel. Like I said, I want Linux to be rewritten, but hopefully we see a downtick in the Linux kernel and those other kinds of libraries, openSSL, glibc, things like that. Maybe I should vibe code this up, but I think it would be cool to have an index of where we are in the cycle, of like an artificial index of all of these, the Dow for all of the libraries of where we’re going. Plus right now, Patch Tuesday used to be like 150, 200, got to 300, 600. I think the last one was 900 something, so we’re geometrically growing. It’d be nice to see Patch Tuesday start to go back down. Apple patches are the same thing. Yep, you inspired me. I’m going to create a Dow index for this, the dark age index. And then maybe we can publish it on The Verge. Yeah, that’d be great. But I think these are the kinds of things that it would be nice to see a reversal for. What would be especially nice to see is that the day or actually like 30 days before you get the next version of OpenAI and Anthropic cyber models, that you don’t have this huge round of patches because what’s happening is those guys are running their models against Microsoft’s code, against a bunch of open source, and they’re giving all the bugs away and you don’t know where the bugs are coming from. It’s just like anonymous reports for 1,000 bugs in the Linux kernel. And then a month later, here’s the new Astra Cyber. So if those get smaller and smaller every time, then it means that we’re starting to reach some kind of steady state. You should definitely do that tracker. We will definitely publish it. Alex, it has been incredible to have you on the show. We’ll have to talk again soon. Yeah, thank you so much. I think you do some of the best journalism on this stuff and I really appreciate it. 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"Ça faisait beaucoup rire DiCaprio" : 13 ans après, Jean Dujardin confie une anecdote cocasse sur ce film culte nommé aux Oscars
"Ça faisait beaucoup rire DiCaprio" : 13 ans après, Jean Dujardin confie une anecdote cocasse sur ce film culte nommé aux Oscars AlloCine

Nov. 7, 2026, 3 p.m.

Stars

Il y a des rencontres qui marquent durablement une carrière, même lorsqu’elles ne durent que quelques jours. Pour Jean Dujardin, celle avec Martin Scorsese appartient incontestablement à cette catégorie. En 2013, le cinéaste américain lui offrait un rôle dans Le Loup de Wall Street, aux côtés de Leonardo DiCaprio. Un nouveau chapitre hollywoodien pour le comédien français, qui venait de connaître une consécration internationale grâce à The Artist, couronné notamment par l’Oscar du meilleur acteur en 2012. Dans Le Loup de Wall Street, Jean Dujardin prête ses traits à Jean-Jacques Saurel, un banquier suisse peu scrupuleux auquel Jordan Belfort, incarné par Leonardo DiCaprio, fait appel pour dissimuler une partie de sa fortune à l’étranger. Un personnage secondaire haut en couleur, qui lui a permis de découvrir les méthodes de travail de l’un des réalisateurs les plus respectés du cinéma. Invité de l’émission Clique sur Canal+, l’ancien interprète d’OSS 117 s’est remémoré cette collaboration avec une admiration intacte. “J’ai eu le bonheur de tourner avec Martin Scorsese”, a-t-il commencé par raconter. Quand Martin Scorsese arrive, tout le plateau se tait Si son passage sur le tournage n’a duré que quelques jours, Jean Dujardin se souvient particulièrement de sa première découverte de l’ambiance qui régnait autour du réalisateur. Et notamment d’un rituel assez singulier précédant son arrivée. “Ça a duré 4 jours. J’ai vu ‘God’. On l’appelle ‘God’ sur le plateau. Ce n’est pas du tout une prise de pouvoir ni rien. Ce qui m’a le plus saisi, c’est l’arrivée sur le plateau. C’est-à-dire que le premier assistant demande à tout le monde de se taire, simplement parce que Marty arrive”, s’est-il rappelé. Loin de l’image d’un cinéaste autoritaire, l’acteur décrit au contraire un homme attentif à ses collaborateurs, qui prend soin d’installer une atmosphère propice à la création avant de commencer à travailler. “Il prend le temps de dire bonjour à tout le monde, d’imposer son temps, d’imposer ses bonjours. Et de dire : ‘Très bien, gentleman, allons-y, on se met en place.’ Il ne veut pas de bruit. La toile est vierge, maintenant on va peindre. C’était très vite agréable parce que ça peut te saisir un peu quand même”, a-t-il précisé. Il faut dire que se retrouver face à Leonardo DiCaprio, sous le regard de Martin Scorsese, avait de quoi intimider, même pour un acteur déjà récompensé par l’Académie des Oscars. Mais cette appréhension s’est rapidement dissipée grâce à la manière dont le réalisateur accompagnait ses interprètes. “Tu arrives, il y a quand même Leonardo DiCaprio devant toi, avec Scorsese, et tu te dis : ‘Donc, on est d’accord que c’est le même métier, il va falloir que je me décontracte ?’ En fait, tu te décontractes vite parce que Scorsese te dit : ‘Si tu veux prendre la tasse, prends la tasse, propose-lui un café.’” “Regarde-le, charme-le” : un réalisateur ouvert à toutes les propositions Cette liberté accordée aux comédiens a notamment permis à Jean Dujardin d’apporter sa touche personnelle au personnage de Jean-Jacques Saurel. Plutôt que de se contenter des indications du scénario, il a proposé à Martin Scorsese de jouer sur l’ambiguïté et la séduction dans ses échanges avec Leonardo DiCaprio. “Je lui dis : ‘J’aimerais bien regarder Leo un peu comme une femme. Je suis un banquier suisse un peu véreux, j’aimerais bien qu’il mette son argent chez moi, ça m’intéresse. J’aimerais le séduire, j’aimerais le regarder comme ça.’ Il me dit : ‘Oui, c'est une bonne idée, vas-y. Regarde-le, charme-le. Quoi d’autre ?’” Une approche accueillie avec enthousiasme par le cinéaste, qui n’hésitait pas à encourager les initiatives de son acteur. Jean Dujardin garde notamment en mémoire la bienveillance avec laquelle ses idées étaient reçues, y compris lorsqu’il souhaitait improviser quelques répliques dans sa langue maternelle. “Je lui dis : ‘J’aimerais bien me lever, faire ça…’ Il répond : ‘Oui, très bien, si tu le sens, c’est que c’est bien.’ Il est très très respectueux, très au calme. C’était très doux et très simple. Même le fait qu’il m’autorise à parler en français, il aime ça. ‘Bouge ton cul !’ ‘Yeah yeah, very good’”, s’est amusé le comédien, reproduisant la réaction de Martin Scorsese. Une spontanéité qui semblait également ravir Leonardo DiCaprio, visiblement sensible à l’humour de son partenaire français : “Ça faisait beaucoup rire DiCaprio aussi. Donc, je me suis senti très très bien, c’est un très très bon souvenir... dans un film notable, c’est mon album photo, c’est chouette”, a conclu Dujardin. (Re)découvrez la scène en question ci-dessous : Sorti en 2013 aux États-Unis et le 25 décembre de la même année en France, Le Loup de Wall Street s’est imposé comme l’un des plus grands succès commerciaux de Martin Scorsese. Avec plus de 400 millions de dollars récoltés à travers le monde et environ 3 millions d’entrées dans les salles françaises, cette satire déjantée des excès de la finance a également décroché cinq nominations aux Oscars. Depuis cette parenthèse hollywoodienne, Jean Dujardin n’a cessé de multiplier les expériences à l’écran. Après L’Homme qui rétrécit en 2025, il a notamment retrouvé les salles obscures en mars 2026 avec Les Rayons et les Ombres de Xavier Giannoli, un drame historique dans lequel il incarne le journaliste collaborationniste Jean Luchaire. Et l’acteur oscarisé ne compte pas s’arrêter là ! En septembre 2026, il a entamé le tournage de Montagnes russes, une comédie dramatique signée Cyril Gelblat, librement inspirée d’une histoire vraie racontée dans le livre Un fou dans l’art de Jean Albou. En attendant, où voir Le Loup de Wall Street ? Le film est actuellement proposé sur Amazon Prime Video. Il est également proposé en VOD sur plusieurs plateformes. (Re)découvrez les petits secrets du film dans la vidéo ci-dessous :

« C’était vraiment atroce » : un adepte du BDSM condamné à 26 ans de prison pour une tentative de meurtre et de multiples viols Le Parisien

Nov. 7, 2026, 2:51 p.m.

« C’était vraiment atroce » : un adepte du BDSM condamné à 26 ans de prison pour une tentative de meurtre et de multiples viols

Good riddance, Cybertruck! The Verge

Nov. 7, 2026, 2:40 p.m.

Electric Cars Elon Musk Policy

I’m calling it: time of death, November 6th, 1:30 AM, by tweet. Good riddance, Cybertruck! We’ll always have our comically oversized windshield wiper. We’ll always have our comically oversized windshield wiper. Elon Musk’s declaration Friday that Tesla would be “winding down” production of the Cybertruck next year to make room for the Cybercab was fascinating for a number of reasons. First, it was a humiliating way to kill a vehicle that was once hailed as the pinnacle of Tesla’s engineering — faster than a Porsche 911, more powerful than an F-150, able to leap over the Model Y as a singular representation of Musk’s Blade Runner-inspired designs for the future. “I think the Tesla Cybertruck is our best product ever,” he declared during a 2019 earnings call. (He prefaced the statement by saying, “This could be totally wrong. I could be totally out to lunch here.” It would appear so!) The fact that Musk would just quietly put an end to the Cybertruck without any fanfare was a sign of how far it had fallen, not just in the eyes of the public, but in the eyes of its creator, the man most responsible for brute-forcing this low-emission, low-poly technological nightmare into the world. Tesla actually thought the Cybertruck would be a huge hit, targeting production and demand of 250,000 units per year. To date, the company has only sold 70,000 units — total. Musk’s other company, SpaceX, ended up being one of the largest single purchasers of Cybertrucks to absorb unsold inventory. Musk had to become his own customer to make the Cybertruck look better on paper. But the death of the Cybertruck is even more noteworthy given the timing of Musk’s tweet, coming just three days after his epic flop at the ballot box. Musk poured over $445 million into Republican races, with most of his money targeting his home turf of Texas — headquarters to both Tesla and SpaceX. Between funnels of $168 million to super PACs backing Republican Senate candidate Ken Paxton and nearly $35 million redirected from his own America PAC, Musk dropped more than $200 million on the Lone Star State alone. All that money, and zero return. Democrat James Talarico crushed Paxton by 12 points to break a 38-year Democratic Senate drought, while Gina Hinojosa ousted Greg Abbott from the governor’s mansion. Texas turned blue, despite the best efforts of the world’s richest man — or perhaps because of them? Americans are fed up: they don’t want Musk meddling in their government, and they especially don’t want his stainless-steel monument to his own vanity and utter refusal to accept human feedback. The Cybertruck was one of the most epic failures in modern automotive history. While it succeeded as a viral PR spectacle and initially became a top-selling premium electric pickup in early 2024, it ultimately collapsed under the weight of Musk’s own hubris. The reasons for the Cybertruck’s failures are almost too many to enumerate: too expensive, not as much range or towing power as promised, too many recalls, and, well, it looked the way it did. But when Musk outed himself as a Trump supporter, forever tying himself to Trump’s MAGA brand, the Cybertruck went with him. Electric vehicles are typically associated with a style of coastal progressivism, but the Cybertruck crossed the aisle to become a physical avatar of Trump’s ugly brand of politics. And more so than any other car in modern history, the Cybertruck was inseparable from its creator. By the time Musk threw hundreds of millions of dollars into Trump’s campaign, launched the America PAC, and took a prominent position in Trump’s administration as the head of the disastrous DOGE project, owning a Cybertruck had become a rolling liability. People who owned a Model 3 or Model Y could credibly claim they bought it before “Elon went crazy,” as the bumper stickers would later declare — a Cybertruck owner could make no such claim. To be sure, most people who bought Cybertrucks were not interested in distancing themselves from Musk’s brand of trollish politics. A big part of MAGA culture is owning the libs. And because liberals, car purists, and environmentalists couldn’t stand the Cybertruck — mocking everything from its sharp edges to its build quality — buying one became a way to get under their skin. Before long, people were slapping Trump wraps on them, flying flags from the truck beds, and turning them into props for conservative rallies. But vibes shift, as they always do. Edgelords lose their edge, and voters become weary and wary of efforts to divide them. The blue tsunami was a historic rejection of Trump and Musk’s brand of right-wing grievance politics. When the spectacle wore off, the bluster stopped feeling like rebellion and started looking like a shit way to run a government. In a single election, the country said it was done. The results on Tuesday also rendered the Cybertruck an instant relic. The election stripped away the sheen of inevitability that once insulated both the billionaire and his pet project. It’s a relief, but a peculiar one at that. Has there ever been a vehicle so desperate to look like the future, only to become an immediate symbol of the past? Most Popular - Xbox overhauls its PC, web, and cloud apps with a faster design - Anker’s new window-mounted camera monitors the outside of your home from within it - After printing 40,000 whistles, this is the 3D printer I’d buy - I’ve reviewed almost every Android foldable this year — here’s how the iPhone Duo compares - The Enough Phone is made by and for people fed up with big screens

“Il y a un vrai phénomène Jean-Luc Mélenchon. Mais inarrêtable ? Non”
“Il y a un vrai phénomène Jean-Luc Mélenchon. Mais inarrêtable ? Non” Courrier international

Nov. 7, 2026, 2:26 p.m.

Entretien

COURRIER INTERNATIONAL : Accueilli comme une vedette dans les manifestations, soutenu par une majorité de députés communistes, grand meeting au Bourget… Jean-Luc Mélenchon est partout. Est-il inarrêtable ? JOËLLE MESKENS : Il est partout. D’ailleurs, ce vendredi matin, dans ma librairie de quartier, les 15 exemplaires commandés de son livre étaient tous partis. Il y a un vrai phénomène Jean-Luc Mélenchon. Mais inarrêtable ? Non. La séquence lui profite pleinement avec ce mouvement social qu’il a réussi sinon à initier au moins à accompagner avec talent. En plus, il joue très bien en miroir avec l’extrême droite qui, elle, joue le rôle du parti de l’ordre qu’exerçait auparavant la droite classique. L’extrême droite lui sert aussi de tremplin, qui polarise complètement la vie politique française. Mais en regardant les autres campagnes présidentielles, sa stratégie est peut-être mise à l’épreuve. Cette fois-ci, il fait le plein des voix très vite dans sa campagne, alors qu’il a l’habitude d’arriver à la fin. Il a aussi une grande cohérence dans son projet présidentiel, avec un récit national de la nouvelle France. Mais le jeu n’est pas du tout décanté. La grille de départ n’est même pas fixée, avec d’autres candidats qui peuvent vraisemblablement arriver. Le terrain est très mouvan Accédez à l’intégralité de nos contenus sur le site et l’application en vous abonnant à l’offre spéciale. Dès 2,99 €/mois Sans engagement • Résiliable en ligneEt si cet article n’était que le début ? 2,99 € par mois En tant qu’abonné, accédez à l’intégralité des contenus de Courrier international. Le 17 octobre, la France “a signé la mort du macronisme” À Orléans, en marge du congrès du RN, pourrait régner “une ambiance proche de la guerre civile” En France, l’appel du gouvernement au dialogue ne fait pas recette En France, la double angoisse du déclin national et du déclassement personnel

Lycéen poignardé à La Courneuve : le suspect présenté à un juge d’instruction pour tentative d’homicide volontaire Le Parisien

Nov. 7, 2026, 2:16 p.m.

Lycéen poignardé à La Courneuve : le suspect présenté à un juge d’instruction pour tentative d’homicide volontaire

Plus que quelques jours sur Netflix : cette comédie aux 2 millions d'entrées avec Ked Adams va quitter la plateforme !

Nov. 7, 2026, 2:15 p.m.

Avec plus de 2 millions d'entrées au cinéma, "Maison de retraite" a conquis le public français. Mais si vous souhaitez retrouver Kev Adams et sa bande de pensionnaires, ne tardez pas : cette comédie familiale quittera bientôt le catalogue Netflix.

Pendant des siècles, les marins ont raconté avoir vu cet étrange phénomène en mer : ils disaient vrai ! Futura-science

Nov. 7, 2026, 2:07 p.m.

météo Les phénomènes météo extraordinaires soleil

On sait que les étoiles de type solaire peuvent faire des explosions magnétiques massives, qui libèrent jusqu'à 10 000 fois plus d'énergie que les plus grandes éruptions jusqu'ici observées sur notre Soleil. Notre Soleil est-il une exception à cet égard ?... Lire la suite Pendant des siècles, des marins ont raconté avoir observé un flash lumineux au-dessus de la mer, sans être crus. Pourtant, ce phénomène étrange existe bel et bien, et il n'a rien de surnaturel. Did you know? — Massimo (@Rainmaker1973) April 22, 2024 The green flash is a quite rare meteorological optical phenomenon that sometimes occur transiently around the moment of sunset or sunrise. Green flashes occur because the Earth's atmosphere can cause the light from the Sun to separate, or refract, into different… pic.twitter.com/lQU5h97ZJP Indice n° 1 : ce phénomène a souvent été décrit dans des ouvrages, notamment par Jules Verne, mais aussi dans des films, comme Pirates des Caraïbes : Jusqu'au bout du monde, sorti en 2007. Indice n° 2 : ce flash lumineux nécessite un ciel dégagé, avec des conditions météo calmes, sans nuage ni brouillard. Cependant, une légère brume, comme il y en a souvent en mer, n'empêche pas le phénomène de se produire. Indice n° 3 : ce spectacle lumineux se produit toujours à un moment précis de la journée, et seulement pendant quelques secondes. C'est en effet, soit en début de journée, soit en soirée, que ce flash est aperçu. I still think this is some of the most mesmerizing footage I've ever captured. The setting #sun over #Santacruzisland, complete with several green flashes. pic.twitter.com/0aYHgpbi38 — Marc Leatham (@quarkmarc) September 24, 2020 La réponse : un phénomène lié à une déviation de la lumière Il s'agit du rayon vert du Soleil : la légende raconte que le nom officiel proviendrait du roman de Jules Verne Le Rayon Vert écrit en 1882. Dans son livre, l'auteur décrit « une couleur verte qu'aucun artiste ne peut obtenir sur sa palette ». Le phénomène donne l'impression d'apercevoir une flamme verte, ou un point lumineux vert, au-dessus du Soleil lors des levers ou couchers de Soleil visibles sur l'eau. GREEN FLASH!! Rare capture of the Green Flash on North Clearwater Beach this evening! ???? Jay Wright #Florida pic.twitter.com/Pt3bGF28Hn — Paul Dellegatto⚡️FOX (@PaulFox13) May 1, 2024 Il n'est pas non plus impossible au-dessus de la terre, sur des terrains très plats comme des champs moissonnés, mais c'est encore plus rare. #PPOD: Green Flash from Sunset Cliffs in San Diego, California — The SETI Institute (@SETIInstitute) August 24, 2021 As the Sun sets, the atmosphere at the horizon acts like a prism and refracts the light. When the conditions are just right, you can catch a green flash for a second or two. Credit Image: @SDjimgrant pic.twitter.com/nMVh3CKBAO Lorsque le Soleil approche de l'horizon, sa lumière traverse une épaisseur beaucoup plus importante d'atmosphère : on dit que l'air est dense. Cet air dense dévie alors les rayons lumineux et sépare les différentes couleurs qui composent la lumière, comme dans un prisme. C'est justement dans ces conditions que nos yeux arrivent à percevoir la lumière verte. On peut alors observer le haut du Soleil basculer sous le niveau de la mer ou de la terre, avec un rayon vert par-dessus. Le phénomène de "Rayon vert" est une manifestation lumineuse atmosphérique très rare, très brève, et saisissante : si certaines conditions sont réunies (horizon lointain, très dégagé, et à basse altitude), apparaît alors un flash vert au dessus du coucher ou du lever du Soleil ! pic.twitter.com/vYCsY1KFxu — TU SAIS PAS QUOI ?! (@tuCpakoa) December 3, 2020 À mesure que le Soleil continue à descendre, seul le rayon vert reste visible de manière très éphémère. Livre Les 100 phénomènes météo les plus extraordinaires, Karine Durand en partenariat avec Futura. © Éditions Delachaux et Niestlé Découvrez tous les phénomènes météo les plus incroyables du monde dans le livre Les 100 phénomènes météo les plus extraordinaires, sorti aux Éditions Delachaux et Niestlé.

« Pour l’instant, il n’y a aucune certitude » : à Singapour, Paul Seixas reste flou sur son avenir Le Parisien

Nov. 7, 2026, 2:06 p.m.

« Pour l’instant, il n’y a aucune certitude » : à Singapour, Paul Seixas reste flou sur son avenir

Zelda is back and better than ever The Verge

Nov. 7, 2026, 1:49 p.m.

Gadgets Gaming Installer

Hi, friends! Welcome to Installer No. 151, your guide to the best and Verge-iest stuff in the world. (If you’re new here, welcome, get psyched because it’s officially Bad Holiday Movie Season, and also you can read all the old editions at the Installer homepage.) Zelda is back and better than ever Plus, in this week’s Installer: Godzilla is back too, a couple of new phone accessories, and the best pen in the world. Plus, in this week’s Installer: Godzilla is back too, a couple of new phone accessories, and the best pen in the world. This week, I’ve been reading about Andrew Garfield and GTA VI and sexy joke thieves, finally actually watching The Sopranosfor the first time (I know, I know), mourning the end of Salon, reinstalling the new and extremely improved Notion Calendar, testing the new Keurig Alta coffee machine, reviewing the iPad Mini and the touchscreen MacBook Pro, and really thinking about just throwing it all away and buying an Enough Phone. I also have for you the long-awaited return of a classic Zelda game, a monster movie worth the trek to the theater, a couple of great new phone accessories, awesome retro headphones, and more. Let’s do it. (As always, the best part of Installer is your ideas and tips. What are you watching / reading / playing / listening to / hacking onto an E Ink display this week? Tell me everything: installer@theverge.com. And if you know someone else who might enjoy Installer, forward it to them and tell them to subscribe here.) The Drop - The Legend of Zelda: Ocarina of Time. I have a confession to make: I’ve never played this game all the way through. Not sure how! Just missed it. But seeing my friends and coworkers fall back in love with Hyrule has convinced me to get all the way into the remake. I genuinely can’t wait. - Godzilla Minus Zero. Three years ago, Godzilla Minus One was a big hit and a surprisingly great movie. The sequel came with much higher expectations, but everyone seems to agree it’s a deserving follow-up. I’m not generally one for monster movies, but this series really does it for me. - Affinity for iPad. Canva’s app now unifies all its tools in one place, just like on the Mac. Affinity makes perfect sense on the iPad, and comes with lots of Apple Pencil integration and clever touch-friendly tools. I’m no designer, but I am excited to play with this as a photo editing tool. - The Moft Dynamic Folio Case. Here’s one for all you iPhone Duo buyers. Moft’s cases are a little complicated to figure out, but really cleverly designed to make your phone even more useful. I’m guessing this is going to be a lot better than Apple’s weird case / kickstand thing. - The Peak Design Kickstand Travel Battery. While we’re on the subject of kickstands, here’s the one I’m buying this week. Peak Design makes good stuff, and I frequently find that I need extra juice at exactly the moment I want to watch something on a plane or train. This one’s going right into my backpack and probably never coming out. - The Bambu Lab H3C. I am dangerously close to becoming a 3D Printer Dude. At $2,500, this one’s a little steep for my wallet, but I think my colleague Sean Hollister is right that this is what the future of 3D printing looks like. Simpler, more foolproof, easy enough even for a goofus like me to make some pretty cool stuff. - “Ranking the world’s most popular pens for journaling.” I know we all love a good pen — and Peter McKinnon does an excellent job of breaking down a few dozen supposedly good pens to see which ones really hold up. I bought more than one pen after watching this. - Instagram Edits for Mac. Oh, great, just as I was finally getting good at CapCut! I like the Edits mobile app a lot, and the desktop app seems to be even a little more powerful. Plus: free. This is how I finally take down Cristiano Ronaldo. - The Sony MDR-3R headphones. Respect to Sony for taking the retro headphone trend all the way to its logical conclusion and just releasing the headphones from the original Walkman. You’ll look a little like Nathan Fielder in You Can See Everything when you wear them, and $60 ain’t cheap, but there’s something so incredibly ’70s-era cool about them. - The Motorola Signature 27. This is just a pure tour de force of a smartphone spec sheet. Monster camera; brightest screen; giant battery. Also very cool to see a flagship phone with support for GrapheneOS, for the less Google-inclined among us. It’s expensive, and only shipping… someday… but I just like that phones like this exist. We talked last week about Readwise Books, the new app that’s a mix of Kindle, Goodreads, and Strava. I’m a longtime fan and user of Readwise Reader, so I wasn’t shocked that I liked the new app a lot, too. And I’ve heard from a bunch of you that you do, too! I’ve talked to Tristan Homsi, one of the Readwise cofounders, a few times over the years, and have always enjoyed hearing his thoughts about reading, apps, and digital products in general. I asked him to share his homescreen to see if I might be able to get a hint about what he’s reading and the other stuff he thinks is good. (I also asked Daniel Doyon, Readwise’s other cofounder, to share, and he didn’t respond. Daniel is dead to me.) Here’s Tristan’s homescreen, plus some info on the apps he uses and why: The phone: iPhone 13 (!).Believe it or not, I chose to buy this relatively outdated phone last year… not because it’s my favorite form factor or anything, but because it’s closer in specs to the median device our Readwise users have and helps me build a bit more user empathy with them. I’m able to catch performance regressions and bugs in Readwise that the developers on our team with Duos and Pro Maxes and such miss. Let me tell you though, iOS 26 itself does not work amazingly on an iPhone 13. Lots of lagging and janky animations. I am somewhat bought into the conspiracy theory that they make the old phones suck so you buy a new one… not so much intentionally, but rather by virtue of just making each successive iOS use more and more resources, doing fancier and fancier things. The wallpaper: My lovely wife and my cat Sophie :) The apps: Clock, Settings, Google Calendar, Camera, Google Maps, Spotify, Bay Wheels, Oura, Eight Sleep, Auto Eight, BeReal, ChatGPT, Runmeter, Strava, Readwise Highlights, Readwise Reader, Phone, Messages, Safari. Of course, I have all three Readwise apps front and center. Highlights and Reader as app icons, and Readwise Books in widget form at the top! It’s a great reminder to jump back into your current book (I’m reading Apple in China right now… speaking of Apple!) instead of scrolling twitter (on a later page), and seeing my friends currently reading really makes me want to jump in and join them :) I also am a huge fan of the somewhat-defunct social app BeReal. It had its moment in 2022, but quite a few of my friends are still on there! You post once a day, can see what your close friends around the world are doing, and most importantly can’t get sucked in for more than two minutes since it limits you to a random photo or two a day! I still post basically every day, and have almost five years of memories in there. Speaking of getting sucked in, I don’t have it pictured on my home screen, but I also have Clearspace installed, which helps me stay off of all social media. Some other apps shown on the homescreen: “auto eight” is something I vibecoded to better control my Eight Sleep mattress (lol)… Strava and Runmeter are awesome for tracking my runs… and Bay Wheels is my main mode of commute around San Francisco daily. I also asked Tristan to share a few things he’s into right now. Here’s what he sent back: - I follow some amazing niche internet blogs, which you should check out if you haven’t. I love the blog Slime Mold Time Mold, famous for their citizen science and potato-maxxing. I also love Gwern.net, Deepfates, and Dynomight… among many others! - And of course I’m always reading books. The most recent fiction series I loved was the Red Knight series — which I can only recommend if you are into dense, dark, fantasy — but man, if you are, the author is a genius. - For non-fiction, it’s hard for me to plug anything but my favorite book of all time, The Beginning of Infinity. It’s not the easiest to get through, but if you do it will likely change the way you see the world, as it did for me! Crowdsourced Here’s what the Installer community is into this week. I want to know what you’re into right now as well! Email installer@theverge.com or message me on Signal — @davidpierce.11 — with your recommendations for anything and everything, and we’ll feature some of our favorites here every week. For even more great recommendations, check out the replies to this post on Threads and this post on Bluesky. “Finally started reading Dungeon Crawler Carl (recommend); finding the Duo to be a perfect foldable reading device. Going to have to take a break to save Princess Zelda though.” — Will “I’m playing around with CutWire’s Drift video editor (alt to CapCut) and I’m honestly shocked at how high-quality it feels.” — Kolin “A wonderful Belgian developer put together an alternative Kobo EPUB reader called Kobalt that I’ve been really enjoying. It’s got a very clean and well-designed UI with a bunch of really nice features that make it a much more enjoyable experience to use. There’s even an Android app, so I also put it on my Supernote Manta to use with larger format content. So much nicer than KOReader!” — Dylan “As a mourning Arc user, I’ve been on the search for my next browser, especially one with a good mobile experience and this one is AWESOME. Lens Browser feels like what Arc Search on mobile would have become had they stuck with it. Currently only mobile for now, but it does have a Mac toolbar companion for sharing links.” — Garrett “Since Arc Search is going away, I’ve been using Lens, and it’s exactly what I’ve been wanting in a mobile browser. It’s the perfect Arc Search replacement.” — Corey “My Boox Picco literally just arrived today. So now I’m trying to churn through Fellowship of the Ring on it, plus my economics textbook.” — Lukas “I’m trying to get back to the gym, and my motivation is I can only watch a show I want to watch if I’m on the treadmill. I’m finally starting Barry. Turns out, good show!” — Ben “Well, Zelda..., but also World of Warcraft Forever, but also 007 First Light (which is letting everyone play the opening for free).” — djstarburst “Playing the Final Fantasy Resonance demo on Switch 2 while waiting for Ocarina of Time to show up at my door and having a blast. It’s not spectacular, but hits the right amount of nostalgia and gameplay for me.” — Micheal “Been catching up on Avatar: Seven Havens, and oh my goodness, the art style, the characters, the music, the worldbuilding!!!??? It’s all so fresh and delightful and human!” — Olof Signing off I’ve mentioned Kagi a bunch of times in this newsletter — it has been my default search engine for the last few years, and I can’t recommend it highly enough. (What if Google, but good, you know?) The challenge with Kagi is it costs $10 a month, which is a lot to ask when Google is free. But as of this week, you can now at least try it for yourself, since Kagi will give you 50 free searches before even asking you to sign up. You get 100 more when you do, even before you pay. If you search a lot, and miss what Google used to be, give Kagi a whirl. I am a very happy customer, and suspect I will be for a long time. See you next week! Most Popular - Xbox overhauls its PC, web, and cloud apps with a faster design - I’ve reviewed almost every Android foldable this year — here’s how the iPhone Duo compares - After printing 40,000 whistles, this is the 3D printer I’d buy - Anker’s new window-mounted camera monitors the outside of your home from within it - The Enough Phone is made by and for people fed up with big screens

Six chambres, piscine, hammam, cave à vin, cottage… La plus grande villa de luxe de Guernesey à vendre pour 78 millions d’euros Le Parisien

Nov. 7, 2026, 1:36 p.m.

Six chambres, piscine, hammam, cave à vin, cottage… La plus grande villa de luxe de Guernesey à vendre pour 78 millions d’euros

Gaël Monfils capitaine de Coupe Davis, le reconversion qu’on n’avait pas vu venir : « On va le découvrir sous un visage différent » Le Parisien

Nov. 7, 2026, 1:36 p.m.

Gaël Monfils capitaine de Coupe Davis, le reconversion qu’on n’avait pas vu venir : « On va le découvrir sous un visage différent »

« Sans elle, je ne sais pas si j’aurais mis les pieds à Brive » : la Foire du livre, un best-seller pour les commerces de la ville Le Parisien

Nov. 7, 2026, 1:31 p.m.

« Sans elle, je ne sais pas si j’aurais mis les pieds à Brive » : la Foire du livre, un best-seller pour les commerces de la ville

« C’est comme une libération » : ce nouveau traitement « beaucoup plus simple » pour éviter d’attraper le VIH Le Parisien

Nov. 7, 2026, 1:31 p.m.

« C’est comme une libération » : ce nouveau traitement « beaucoup plus simple » pour éviter d’attraper le VIH

DIRECT. Van Assche-Shelton : le Français vise un nouvel exploit en demi-finale du Rolex Paris Masters Le Parisien

Nov. 7, 2026, 1:26 p.m.

DIRECT. Van Assche-Shelton : le Français vise un nouvel exploit en demi-finale du Rolex Paris Masters

Readme, l’appli de rencontre pour les amoureux de la littérature

Nov. 7, 2026, 1:10 p.m.

Alors que le modèle traditionnel des applis de rencontre est à bout de souffle, que les célibataires rêvent à des rencontres réelles, et que la perspective d’un choix infini de partenaires n’a plus rien de séduisant, Readme, une appli destinée aux amoureux de la littérature, aspire à créer l’étincelle grâce à la psycholinguistique.

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