Google is updating AI Overviews and AI Mode to more prominently surface "Expert Advice" from public discussions, social platforms, forums, blogs, and Reddit. Engadget reports: Via a new "Expert Advice" section that can appear in AI responses, Google will display "a preview of perspectives from public online discussions, social media and other firsthand sources." In the sample screenshot the company provided, quotes from forums, WordPress blogs and Reddit were arranged above links to their respective sources. Google plans to add more context to these links, too, showing "a creator's name, handle or community name," so you can judge what you might want to click through and read from a glance.
Google will also start recommending in-depth articles at the end of AI responses for further exploration of a given topic, and link to more sources directly in its generated answers rather than just at the end. If you subscribe to any publications, AI responses will also highlight sources from the subscriptions you link to your Google account.
An anonymous reader quotes a report from Ars Technica: At its Code with Claude developers' conference, Anthropic has introduced what it calls "dreaming" to Claude Managed Agents. Dreaming, in this case, is a process of going over recent events and identifying specific things that are worth storing in "memory" to inform future tasks and interactions. Dreaming is a feature that is currently in research preview and limited to Managed Agents on the Claude Platform. Managed Agents are a higher-level alternative to building directly on the Messages API that Anthropic describes as a "pre-built, configurable agent harness that runs in managed infrastructure." It's intended for situations where you want multiple agents working on a task or project to some end point over several minutes or hours.
Anthropic describes dreaming as a scheduled process, in which sessions and memory stores are reviewed, and specific memories are curated. This is important because context windows are limited for LLMs, and important information can be lost over lengthy projects. On the chat side of things, many models use a process called compaction, whereby lengthy conversations are periodically analyzed, and the models attempt to remove irrelevant information from the context window while keeping what's actually important for the ongoing conversation, project, or task. However, that process, as I described it, is usually limited to a specific conversation with a single agent. "Dreaming" is a periodically recurring process in which past sessions and memory stores can be analyzed across agents, and important patterns are identified and saved to memory for the future. Users will be able to choose between an automatic process, or reviewing changes to memory directly.
An anonymous reader quotes a report from Ars Technica: Silicon Valley investors such as Palantir co-founder Peter Thiel have bet hundreds of millions of dollars on deploying AI data centers powered by waves in the middle of the world's oceans -- a move that coincides with tech companies facing mounting challenges in building AI data center projects on land. The latest investment round of $140 million is intended to help the company Panthalassa complete a pilot manufacturing facility near Portland, Oregon, and speed up deployments of wave-riding "nodes" designed to generate electrical power, according to a May 4 press release. Instead of sending renewable energy to a land-based data center, the floating nodes would directly power onboard AI chips and transmit inference tokens representing the AI models' outputs to customers worldwide via satellite link.
Each node resembles a huge steel sphere bobbing on the water with a tube-like structure extending vertically down beneath the surface. The wave motions drive water upward through the tube into a pressurized reservoir, where it can be released to spin a turbine generator that produces renewable energy for the AI chips on board. Panthalassa claims the node's AI chips would also get cooled using the surrounding water, which could offer another advantage over traditional data centers. "Ocean-based compute might offer a massive cooling advantage because the ambient temperature is so low," Lee said. "Land-based data centers use a lot of electricity and fresh water for cooling."
The newest node prototype, called Ocean-3, is scheduled for testing in the northern Pacific Ocean later in 2026. The latest version reaches about 85 meters in length and would stand nearly as tall as London's Big Ben or New York City's Flatiron Building, according to the Financial Times. Panthalassa has already tested several earlier prototypes of the wave energy converter technology, including the Ocean-1 in 2021 and the Ocean-2 that underwent a three-week sea trial off the coast of Washington state in February 2024. The company's CEO and co-founder, Garth Sheldon-Coulson, said in a CBS interview that he hopes to eventually deploy thousands of the nodes.
Microsoft is winding down Xbox Copilot on mobile and ending development of Copilot on console, reversing plans to bring the gaming-focused AI assistant to current-generation Xbox consoles this year. "The move follows [new Xbox CEO Asha Sharma's] reorganization of the Xbox platform team earlier on Tuesday, which added executives from Microsoft's CoreAI team -- where Sharma worked before taking over Xbox -- to the Xbox side of the company," reports The Verge.
Sharma said in a post on X: Xbox needs to move faster, deepen our connection with the community, and address friction for both players and developers. Today, we promoted leaders who helped build Xbox, while also bringing in new voices to help push us forward. This balance is important as we get the business back on track. As part of this shift, you'll see us begin to retire features that don't align with where we're headed. We will begin winding down Copilot on mobile and will stop development of Copilot on console. Since taking over for former Microsoft Gaming CEO Phil Spencer in February, Sharma has scrapped the Microsoft Gaming brand and cut the price of Xbox Game Pass.
Selon les dernières rumeurs, OpenAI rêverait de concurrencer l'iPhone avec son propre smartphone haut de gamme pensé pour l'utilisation d'une IA générative en local. Mais OpenAI risque de se heurter au même problème que Facebook, Amazon, Microsoft, BlackBerry ou Huawei avant lui : le duopole Apple/Google est difficile à battre.
Lancé le 5 mai 2026, GPT-5.5 Instant devient le nouveau modèle par défaut de ChatGPT. OpenAI promet une IA plus fiable, plus concise et mieux personnalisée, avec moins d’hallucinations et une meilleure prise en compte du contexte des utilisateurs.
Les marchés européen et français vivent un tournant historique, et pas seulement parce qu’ils traversent une crise majeure. Ils comptent de nouveaux acteurs venus de Chine, gourmands de prendre pour eux une partie du gâteau. 6 des 10 derniers essais de la rubrique concernent un véhicule dont la conception ou la fabrication concerne ce pays. Omoda Jaecoo, dernier venu, nous a déjà donné un avant-goût de son offensive avec le Jaecoo 7 PHEV. Mais histoire de convaincre le plus grand nombre, ce dernier est désormais commercialisé en hybride non rechargeable, ce qui le rend encore plus accessible.
Un style convaincant
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Avec ses 2,8 millions de ventes en 2025, on peut raisonnablement dire que le groupe Chery, auquel appartient Omoda-Jaecoo, est un poids lourd du marché mondial. En s’attaquant à l’Europe avec cette marque destinée exclusivement à l’export, le groupe engage les moyens pour être à la hauteur, avec notamment des centres de recherche et de développement à travers le continent, dont un en France. Avec le Jaecoo 7 que nous avons déjà essayé en version PHEV, le constructeur rend cette technologie plus accessible sur un SUV de cette taille, compte tenu de son tarif.
Mais pour s’assurer que la plupart des clients puissent toutefois se retrouver dans la marque, le Jaecoo 7 est désormais disponible avec la motorisation hybride (non rechargeable) de son petit frère Jaecoo 5. Autant vous le dire tout de suite, mis à part les badges et les baguettes latérales de couleurs différentes, aucun autre indice ne permettra de les distinguer. Son allure de Range Rover demeure et fait finalement de lui, d’une certaine façon par le design, le moins « chinois » des SUV du genre actuellement sur le marché et provenant de l’Empire du milieu. Le premier intérêt de cet hybride est évidemment de faire baisser le prix d’appel.
Déjà des progrès depuis le lancement
En remontant à l’intérieur du Jaecoo 7, on retrouve cette présentation finalement assez classique pour un SUV moderne. On aime ce mélange entre attributs de baroudeur, comme les poignées sur les portières avec des vis apparentes, des matériaux assez chaleureux comme le revêtement de la planche de bord, et surtout la haute technologie, comme en témoignent l’écran derrière le volant et la gigantesque dalle tactile placée verticalement. Des commandes essentielles relatives notamment au désembuage sont accessibles directement derrière le porte-gobelets.
Cela devient de plus en plus difficile de trouver la qualité de fabrication en recul par rapport aux concurrents historiques, surtout au regard du prix. D’autant plus qu’elle semble plutôt en régression chez les autres généralistes, la plupart du temps plus chers. Mais si toutes les technologies que l’on s’attend à avoir dans une voiture de ce segment sont bel et bien là, l’ergonomie pour toutes les faire fonctionner ne facilite pas leur utilisation. Pourtant, des progrès ont été faits depuis la présentation du PHEV, avec désormais l’intégration de profils différents pour la personnalisation des ADAS notamment. On l’avait déjà remarqué, on ne manque pas de place à l’avant comme à l’arrière, et les bagages non plus dans le coffre de 500 litres.
Le Jaecoo 7 à l’épreuve du Cap Corse
Le Jaecoo 7 hybride reprend donc la motorisation apparue sur son petit frère numéro 5. Cette mécanique revendique une puissance confortable de 224 chevaux. Elle se compose d’un 4 cylindres 1.5 de 143 chevaux et d’un bloc électrique de 204. Les performances sont honorables, à l’image du 0 à 100 km/h exécuté en 8,4 s seulement. Clairement, les phases électriques sont nombreuses. La douceur de conduite est l’un des points forts de cette voiture, puisqu’elle n’utilise qu’un seul rapport. Le thermique se met en route tantôt pour recharger la batterie de 1,83 kWh, tantôt directement pour la traction.
Il faut noter que ce grand SUV à vocation familiale pèse tout de même son poids, en l’occurrence 1 715 kilos à vide, et peut donc s’approcher des deux tonnes suivant les configurations, le nombre de passagers et leurs bagages. Cela joue sans doute sur la consommation. Mais dans notre réalité, avec deux adultes d’un bon gabarit et du matériel de tournage, elle s’est établie entre 5 et 6 litres sur les routes particulièrement escarpées du Cap Corse où nous évoluions. Néanmoins, elle sait aussi faire preuve d’une sobriété exceptionnelle, compte tenu des nombreuses descentes. On regrette une pédale de frein au feeling surprenant, notamment quand la batterie est pleine et que l’on n’a plus de régénération. Cela augure des à-coups inattendus.
Une consommation maîtrisée
Sur des parcours plus communs, il est probable que ces désagréments soient beaucoup moins présents. Sur route, la batterie se décharge et se charge en atteignant rarement sa pleine capacité. Dans ces conditions, la notion de confort est renforcée par la fluidité exemplaire de cette motorisation. En outre, les longs voyages sont facilités par des ADAS dont une conduite semi-autonome de niveau 2 assez finement réglée. La dernière chose que l’on a envie de faire, c’est d’augmenter le rythme. On sent clairement qu’il ne s’agit pas là de sa vocation prioritaire.
D’ailleurs, la position de conduite un peu trop haut perchée n’incite pas spécialement à bousculer les estomacs des passagers. Pour le reste, l’amortissement assez souple sert très largement le bien-être des occupants. Il faut donc privilégier une conduite de sénateur en avance, plutôt qu’en retard. Pour le plaisir de conduite, il faudra se tourner vers des concurrents certes plus dynamiques, mais aussi nettement plus chers. Nous nous sommes aussi permis une petite escapade sur des chemins de berger assez défoncés. Sa confortable garde au sol permet ainsi au Jaecoo 7 de s’aventurer hors des sentiers battus, idéalement par temps sec.
Un rapport prix/prestations quasiment imbattable
Comme tout nouvel entrant, pour pouvoir satisfaire les plus curieux, il faut un réseau. À date, il y a plus de 73 points de vente à travers le pays, et ce nombre atteindra les 130 d’ici la fin de l’année. Pour assurer aussi le meilleur suivi possible, Omoda-Jaecoo offre une garantie de 7 ans ou 150 000 km. Mais encore une fois, comme toutes les marques chinoises qui s’invitent sur notre marché, le constructeur met tout le monde d’accord côté prix. Alors que l’inflation en vigueur renforce la crise que le secteur traverse actuellement, la marque chinoise rend accessible ce SUV familial hyper équipé dès 29 990 €, ou pour un loyer de 349 € sans apport. L’industrie européenne, et les étrangers qui vendent sur le vieux continent vont devoir vite mettre un coup de collier pour contenir l’offensive des constructeurs chinois de plus en plus en phase avec notre marché.
An anonymous reader quotes a report from Wired: Employees at Google DeepMind in London have voted to unionize as part of a bid to block the AI lab from providing its technology to the US and Israeli militaries. In a letter addressed to Google's managing director for the UK and Ireland, Debbie Weinstein, the workers asked the company to recognize the Communication Workers Union and Unite the Union as joint representatives for DeepMind employees. "Fundamentally, the push for unionization is about holding Google to its own ethical standards on AI, how they monetize it, what the products do, and who they work with," John Chadfield, national officer for technology at the CWU, tells WIRED. "Through the process of unionization, workers are collectively in a much stronger place to put [demands] to an increasingly deaf management."
[...] The DeepMind employee tells WIRED that if the staff succeeds in unionizing in the UK, they will likely demand that Google pulls out of its long-standing contract with the Israeli military, and seek greater transparency over how its AI products will be used, and some sort of assurance relating to layoffs made possible by automation. If Google does not engage, the letter states, the employees will ask an arbitration committee to compel the company to recognize the unions. Since the turn of the year, both Anthropic and OpenAI have announced large-scale expansions of their operations in London. CWU hopes the unionization effort at DeepMind will spur workers at those labs into similar action. "These conversations are happening," claims Chadfield. "The workers at other frontier labs have seen what Google DeepMind workers have done. They've come to us asking for help as well." The unionization push began in February 2025 after Alphabet removed a pledge from its AI ethics guidelines that had barred uses such as weapons development and surveillance. "A lot of people here bought into the Google DeepMind tagline 'to build AI responsibly to benefit humanity,'" the DeepMind employee told WIRED. "The direction of travel is to further militarization of the AI models we're building here."
Le 5 mai 2026, Microsoft, Google et xAI ont accepté d’accorder au gouvernement américain un accès anticipé à leurs modèles d’IA les plus avancés. Un nouvel accord qui confirme un tournant dans les relations entre la Silicon Valley et Washington.
The Trump administration is reportedly considering an executive order to create a working group that could review advanced AI models before public release. The shift follows concerns over Anthropic's powerful Mythos model and its cyber capabilities, with officials weighing whether the government should get early access to frontier models without necessarily blocking their release. The New York Times reports: In meetings last week, White House officials told executives from Anthropic, Google and OpenAI about some of those plans, people briefed on the conversations said. The working group is likely to consider a number of oversight approaches, officials said. But a review process could be similar to one being developed in Britain, which has assigned several government bodies to ensure that A.I. models meet certain safety standards, people in the tech industry and the administration said.
The discussions signal a stark reversal in the Trump administration's approach to A.I. Since returning to office last year, Mr. Trump has been a major booster of the technology, which he has said is vital to winning the geopolitical contest against China. Among other moves, he swiftly rolled back a Biden administration regulatory process that asked A.I. developers to perform safety evaluations and report on A.I. models with potential military applications. "We're going to make this industry absolutely the top, because right now it's a beautiful baby that's born," Mr. Trump said of A.I. at an event in July. "We have to grow that baby and let that baby thrive. We can't stop it. We can't stop it with politics. We can't stop it with foolish rules and even stupid rules." Mr. Trump left room for some rules, but he added that "they have to be more brilliant than even the technology itself."
The White House wants to avoid any political repercussions if a devastating A.I.-enabled cyberattack were to occur, people in the tech industry and the administration said. The administration is also evaluating whether new A.I. models could yield cyber-capabilities that could be useful to the Pentagon and U.S. intelligence agencies, they said. To get ahead of models like Mythos, some officials are pushing for a review system that would give the government first access to A.I. models, but that would not block their release, people briefed on the talks said.
An anonymous reader quotes a report from 404 Media: A new, bipartisan bill introduced (PDF) by Democratic Senator of California Adam Schiff and endorsed by the biggest AI developers in the world -- including OpenAI, Google, and Microsoft -- would change the K-12 curriculum to shoehorn in "AI literacy," something that young people and teachers alike already hate in schools. The Literacy in Future Technologies Artificial Intelligence, or LIFT AI Act, would empower the new director of the National Science Foundation (NSF) to make grant awards "on a merit-reviewed, competitive basis to institutions of higher education or nonprofit organizations (or a consortium thereof) to support research activities to develop educational curricula, instructional material, teacher professional development, and evaluation methods for AI literacy at the K-12 level," the bill says.
It defines AI literacy as using AI; specifically, "having the age-appropriate knowledge and ability to use artificial intelligence effectively, to critically interpret outputs, to solve problems in an AI-enabled world, and to mitigate potential risks." The bill is endorsed by the American Federation of Teachers, Google, OpenAI, Information Technology Industry Council, Software & Information Industry Association, Microsoft, and HP Inc. [...] The grant would support "AI literacy evaluation tools and resources for educators assessing proficiency in AI literacy," according to the bill. It would also fund "professional development courses and experiences in AI literacy," and the development of "hands-on learning tools to assist in developing and improving AI literacy." Most importantly for real-world implications, it would fund changing the existing curriculum "to incorporate AI literacy where appropriate, including responsible use of AI in learning."
An anonymous reader quotes a report from Bloomberg's Ashley Carman: Welcome to the modern era of podcasting in which thousands of new shows are released into the world every day with a sizable portion likely being AI-generated. Figuring out exactly which ones fall into that growing category is becoming more difficult just as the industry is starting to take this issue seriously. In only the past month or so, Amazon launched a feature that explains a product by generating a quasi-podcast, complete with co-hosts talking to each other and taking questions from users. Shout out to Business Insider reporter Katie Notopoulos for spotting this (and, naturally, demoing it with an adult diaper rash-cream). Not long ago, Nicholas Thompson, chief executive officer of the Atlantic, noted "podslop" dominated his Spotify search results when he typed in the word "Sora." This was around the time that OpenAI shut down its user-generated, AI-content-only app.
[...] All of which raises some big, difficult questions. For one, what should the listening platforms do about this incursion? As of right now, Apple Podcasts requires creators who generated a "material portion" of their show using AI to disclose it. The platform also bans misleading or deceptive content. Spotify hasn't published any specific guidelines around AI, though it maintains general rules around dangerous and misleading content. Where this conversation gets even trickier is when it comes to money. Many of these podcasts are hosted on at least one free service that allows programs to opt into their ad marketplace with zero barrier to entry, meaning these shows (and the hosting service) profit off every listen or download. Spreaker, a company owned by iHeartMedia, is the primary one to watch here. Though it tells users to disclose when they rely on AI, it still allows those shows to opt into its programmatic ad marketplace, which pays creators 60% of the revenue generated by the ads placed in their shows. It stands to reason that most of these thousands of shows don't reach many people. But in the aggregate, the ears and dollars could add up. Are the advertisers on board with being next to AI-generated content, some of which might be deemed "slop?" There's also the question of how to define "slop." Jackson of the Podcast Index and his co-host Adam Curry treat it as something listeners simply know when they hear it, while Alberto Betella, co-founder of RSS.com, defines it as "fully automated content with no human review."
Jeanine Wright, co-founder of Inception Point, rejects the debate altogether: "The people still talking about slop are still making 6-7 jokes," she said. "It's still yesterday's conversation."
Le procès entre Elon Musk et Sam Altman, qui pourrait bouleverser l'avenir d'OpenAI, va être diffusé en direct à partir de sa seconde semaine. Problème : le tribunal n'autorise qu'un flux audio. Il sera impossible de le regarder en vidéo.
A Wall Street Journal opinion piece warns of "a troubling trend" in AI's growth. "Rather than selling software, some AI companies are paying their partners to use it."
It cites OpenAI's $1.5 billion joint venture with private-equity firms, Anthropic's $200 million contribution to a private-equity firm joint venture, and Google's $750 million subsidization of Gemini's adoption by consulting firms. "These agreements muddy the distinction between a company's sound growth trajectory and artificial financial engineering."
[T]he scale and structure of the recent AI deals go beyond standard incentive mechanisms... When a seller pays customers to buy its products, it is unclear if its revenue growth reflects vibrant demand or a willingness to accept subsidies.
Slashdot reader destinyland writes:
This warning comes from a prominent figure in the investing community. For six years Robert Pozen was chairman of America's oldest mutual fund company, after five years at Fidelity. An advocate for corporate governance, he's currently a lecturer at MIT's business school (and the author of the book Remote Inc.: How to Thrive at Work...Wherever You Are). "As AI companies prepare initial public offerings, investors should scrutinize their numbers closely," Pozner writes, warning about "time-limited financial support".
"In evaluating AI sales figures, analysts should consider the distorted incentives that the recent financing deals create," writes Pozner:
Private-equity firms, enticed by promised returns, might demand rapid rollouts of AI products, rather than ensuring their orderly and safe development. Portfolio companies of private-equity firms may embrace AI tools not because they are needed but because adoption is mandated by their owners. Consultants may favor one set of AI models based on the subsidy instead of the merits.
If guarantees and subsidies are major factors in the rapid adoption of AI tools, investors should be skeptical of AI companies' revenue projections. Many of their customers enticed by consultants will stop paying full price when the financial incentives are gone. Many of the portfolio companies of private-equity firms could back away from selected AI tools once these joint ventures expire. The challenge with evaluating these AI financing deals is the lack of transparency. At present, AI vendors don't separate revenue driven by subsidies or joint ventures from standard sales.
The lesson from the telecom debacle is that financial engineering can obscure, for years, the difference between real customer demand and demand driven by incentives. When AI companies begin to finance their own product distribution, guaranteeing returns to investors and subsidizing sales, it's a signal for investors to dig deeper.
Investing in an AI company? Ask what percentage of enterprise revenue is coming from subsidized channels or joint ventures, Pozner suggests. And the renewal/retention rate for customers not supported by subsidies or joint ventures...
Elle s’est fait attendre, mais la voici maintenant disponible sur le marché français. Suzuki présente sa première voiture 100% électrique. Après une précédente rencontre dans un environnement contrôlé, nous l’avons conduite sur les jolies routes de la campagne bourguignonne, idéales pour se faire une bonne idée de ce que vaut l’e-Vitara.
Comme le concept-car
On a déjà à peu près tout dit sur le physique de la toute nouvelle Suzuki e-Vitara. Son design devait être en partie compatible avec celui de son cousin, l’Urban Cruiser. Pour faciliter son intégration dans le catalogue, le constructeur japonais s’est appuyé sur son best-seller, le Vitara, qui continue d’exister à ses côtés pour le moment. Il ressemble quasiment trait pour trait au concept-car qui l’a précédé. Il paraît à la fois robuste et plutôt moderne. Avec ses épaulements, il semble vouloir bousculer les autres sur la route.
Ce SUV a une garde au sol relativement élevée, qui lui permet non seulement de franchir les trottoirs, mais aussi de s’aventurer parfois sur des chemins. Car, tout Suzuki qu’il est, il a droit aussi à une version à transmission intégrale, avec un moteur sur le train arrière sur la version AllGrip. Il a son petit look et, il faut bien l’avouer, il donne un sacré coup de vieux à son frère thermique, qui commence véritablement à accuser le poids des ans. La génération de ce dernier existe depuis 2015 et s’est, au passage, écoulée à plus de 54 000 exemplaires. On ne sait pas si c’est l’objectif que se fixe la marque pour l’e-Vitara.
Un intérieur de voiture, pas de vaisseau spatial
À bord, on retrouve cet intérieur que nous avions découvert l’an passé. Oui, Suzuki a pris son temps pour ajuster sa production dans son usine indienne. D’ailleurs, il précise que la pleine cadence n’interviendra pas avant juin. En tout cas, on évolue dans un environnement qui, ici aussi, marque l’écart avec l’autre Vitara. L’atmosphère s’avère plutôt moderne, avec une instrumentation 100% numérique. Quelques revêtements moussés rendent l’ambiance un peu plus chaleureuse. Pas d’écran XXL (Apple CarPlay/Android Auto embarqués), mais disons qu’il est à la bonne taille pour ne pas avoir à faire de grands gestes au moment de le manipuler. Un chargeur à induction, une prise USB-C et USB-A sont présents à l’avant.
Aussi bête que cela puisse paraître, Suzuki a agencé la plupart des commandes comme auparavant dans la plupart des voitures, avec des boutons physiques pour la gestion de la climatisation en premier lieu, et une molette rotative pour le son. Basique ? Loin s’en faut dans l’industrie automobile actuelle. On comprend assez rapidement où se trouvent la plupart des fonctions. On se sent bien à l’avant, et pas trop mal à l’arrière en ce qui concerne l’espace aux jambes. Méfiance tout de même, pour les grands gabarits, au niveau de la garde au toit. Le coffre dépasse à peine 300 litres, mais offre un plancher plat. On peut ajuster sa contenance grâce aux sièges coulissants sur 16 cm.
Temps de recharge long en DC
Après nos premiers tours de roues, on constate une régénération manifestement réglée sur un niveau intermédiaire. On cherche alors à la modifier. On se rappelle alors, lors d’une prise de contact avec un prototype l’an passé, avoir recommandé aux ingénieurs japonais un accès rapide à ce réglage. Malheureusement, ce n’est pas le cas : il faut passer par plusieurs étapes sur l’écran, et surtout être à l’arrêt pour choisir l’un des trois niveaux. Dommage ! Pour le reste, on profite, sur notre version deux roues motrices, d’un moteur de 128 kW (174 ch) couplé à une batterie de 61 kWh (LFP). La voiture ne manque pas d’entrain ; globalement, elle se comporte bien dans toutes les situations de conduite, que ce soit en ville ou sur route.
Néanmoins, on remarque assez rapidement que l’on doit utiliser le mode ECO et fluidifier sa conduite si l’on veut maintenir une consommation raisonnable. Cela se fait sans grande difficulté, mais on voit nettement la différence si on la mène tambour battant. Le chiffre WLTP dépassant les 400 km nous paraît plutôt optimiste. Cependant, il est probable qu’en faisant attention, elle s’approche des 300 km. Avec son chargeur embarqué de 11 kW, on peut espérer une recharge complète en un peu plus de 5 heures. Suzuki refuse de communiquer sur la puissance en courant continu, mais le constructeur annonce un temps de 45 minutes pour passer de 10 à 80%. Il va clairement falloir que cette donnée s’améliore par la suite.
Bon comportement routier
Même si la puissance paraît faible, notez que l’on peut préconditionner manuellement la batterie. Nul besoin, comme chez certains concurrents, de devoir obligatoirement entrer une destination dans le GPS. En tout cas, on ne passe pas un mauvais moment à son volant. La voiture se montre plutôt bien amortie, ce qui sert assez bien le confort. Son couple confortable lui assure notamment des reprises de bon aloi. On doit aussi son bon comportement routier à ses suspensions arrière multibras. Soyons clairs : elle n’a pas pour autant des accents de compacte sportive.
En se perdant sur quelques chemins ici et là, on apprécie la garde au sol de 18 cm. On se sentirait encore un peu plus à l’aise avec l’e-axle associé à la version AllGrip. Mais honnêtement, par temps sec, cela ne nous manque pas outre mesure. L’insonorisation à haute vitesse aurait mérité un peu plus de soin. Même si cela ne s’avère pas trop gênant, on l’a tout de même remarqué. On oublie aussi son poids, proche des deux tonnes, qui ne se fait pas trop ressentir. Il se rappelle parfois à nous lorsque l’on rebondit sur une imperfection du bitume que l’on n’aurait pas anticipée.
Un rare SUV compact électrique 4X4
D’entrée de jeu, se sachant désavantagé en Europe à cause de son assemblage en Inde, l’e-Vitara bénéficie d’une ristourne maison de 4 000 € à son lancement. Ses tarifs vont de 32 500 à 40 800 € hors réduction constructeur. La version AllGrip à transmission intégrale se distingue comme l’une des rares 4×4 sur le segment. Au-delà de la garantie classique de 3 ans, elle peut grimper jusqu’à 10 ans si l’entretien est réalisé dans le réseau selon les préconisations. D’ailleurs, n’importe quelle Suzuki déjà vendue est éligible à cette garantie étendue, après un diagnostic de la marque. L’e-Vitara a mis du temps à arriver avec certaines qualités, mais il faudra progresser, notamment sur la recharge.
"Vibe coding just got a whole lot more adorable," writes Engadget:
OpenAI introduced AI-generated pets to the Codex app, its agentic tool that helps with coding. These "optional animated companions" don't do any coding themselves, but serve as a floating overlay that can tell you what Codex is working on, notify you when Codex completes a task or whether it needs your input on something. The new feature lets developers see Codex's active thread, without having to switch away from your current open app.
"The feature ships with eight built-in variations — including a cat and dog," reports Mashable. "But the more interesting play is the custom pet creator."
Users can prompt Codex directly to generate their own companion, then share it online. A quick scroll through the homepage reveals the community has already gotten to work. Current creations include Goku, Patrick Star, Microsoft's long-retired Clippy, OpenAI CEO Sam Altman, Anthropic CEO Dario Amodei, and — naturally — a goblin.
There's also Grogu, Dobby, a tiny Bob Rossi, and a "Doge-style Shiba Inu dog"...
The Associated Press reports:
On a March afternoon, artificial intelligence detected something resembling smoke on a camera feed from Arizona's Coconino National Forest. Human analysts verified it wasn't a cloud or dust, then alerted the state's forest service and largest electric utility. One of dozens of AI cameras installed for the utility Arizona Public Service had spotted early signs of what came to be known as the Diamond Fire. Firefighters raced to the scene and contained the blaze before it grew past 7 acres (2.8 hectares).
As record-breaking heat and an abysmal snowpack raise concerns about severe wildfires, states across the fire-prone West are adding AI to their wildfire detection toolbox, banking on the technology to help save lives and property. Arizona Public Service has nearly 40 active AI smoke-detection cameras and plans to have 71 by summer's end, and the state's fire agency has deployed seven of its own. Another utility, Xcel Energy in Colorado, has installed 126 and aims to have cameras in seven of the eight states it serves by year's end... ALERTCalifornia is a network of some 1,240 AI-enabled cameras across the Golden State that work similar to the system in Arizona....
Pano AI, whose technology combines high-definition camera feeds, satellite data and AI monitoring, has seen a growing interest in its cameras since launching in 2020. They've been deployed in Australia, Canada and 17 U.S. states, including Oregon, Washington and Texas... Last year, its technology detected 725 wildfires in the U.S., the company said... Cindy Kobold, an Arizona Public Service meteorologist, said the technology notifies them about 45 minutes faster on average than the first 911 call.
The Wall Street Journal reports that OpenAI "recently gave its popular ChatGPT strict instructions. Stop talking about goblins."
Recent models of the artificial-intelligence chatbot have been bringing up the creatures in conversations with users seemingly out of the blue, as well as gremlins, trolls and ogres. The goblin-speak caught the attention of programmers, who are often heavy users of the bot. Barron Roth, a 32-year-old product manager at a tech company, said the bot referred to a flaw in his code as a "classic little goblin." He said he counted more than 20 times it mentioned goblins, without any prompting...
Several users speculated that goblin terminology was how the model characterized itself, in lieu of identifying as a person with a soul. Then OpenAI decided enough was enough. "Never talk about goblins, gremlins, raccoons, trolls, ogres, pigeons, or other animals or creatures unless it is absolutely and unambiguously relevant to the user's query," reads an open source line in ChatGPT's base instructions for its coding assistant.
The Journal calls this "a reminder that even as AI companies tout one advance after another in their technology, they are sometimes baffled by the things their own models do...." While training a "nerdy" personality for their model's customization feature, "We unknowingly gave particularly high rewards for metaphors with creatures," OpenAI explained in a log post. And "From there, the goblins spread."
When we looked, use of "goblin" in ChatGPT had risen by 175% after the launch of GPT-5.1, while "gremlin" had risen by 52%... With GPT-5.4, we and our usersâ noticed an even bigger uptick in references to these creatures... Nerdy accounted for only 2.5% of all ChatGPT responses, but 66.7% of all "goblin" mentions in ChatGPT responses... The rewards were applied only in the Nerdy condition, but reinforcement learning does not guarantee that learned behaviors stay neatly scoped to the condition that produced them. Once a style tic is rewarded, later training can spread or reinforce it elsewhere, especially if those outputs are reused in supervised fine-tuning or preference data.
It all started because the "nerdy" personality's prompt had said "You must undercut pretension through playful use of language. The world is complex and strange, and its strangeness must be acknowledged, analyzed, and enjoyed..." Now OpenAI calls this "a powerful example of how reward signals can shape model behavior in unexpected ways, and how models can learn to generalize rewards in certain situations to unrelated ones."
But "fans of goblins don't have to fear," notes the Wall Street Journal. "OpenAI provided a command in its blog post that would remove its creature-suppressing instructions."
An official in South Africa withdrew a draft of the country's national AI policy, reports a local newspaper, "after it was found the draft policy was compiled using AI, which cited academic articles that were 'fictitious'."
Earlier this month, minister in the Presidency Khumbudzo Ntshavheni announced cabinet had approved the draft policy for public comment. [Ntshavheni] said the policy seeks to strengthen government's ability to regulate and adopt AI responsibly, while fostering innovation, job creation, and skills access.
The article includes this quotes from the country's minister of communications/digital technologies department. "This unacceptable lapse proves why vigilant human oversight over the use of artificial intelligence is critical."
Thanks to Slashdot reader Tokolosh for sharing the article.
In 2016 an online "swarm intelligence" platform generated a correct prediction for the Kentucky Derby — naming all four top finishers in order. (But its 2017 predictions weren't even close.) Slashdot checked in again on how modern AI systems performed in 2023, 2024, and 2025 — but their predictions were still pretty bad. Would AI-generated Derby predictions be any better in 2026?
This year's winner was 24-to-1 longshot "Golden Tempo" — though a lot of oddsmakers had favored a horse named Further Ado (which ultimately only finished 11th). So when USA Today prompted Microsoft Copilot for its own picks for the Kentucky Derby, Copilot also went with Further Ado. (Even worse, it predicted Golden Tempo would come in... 13th.)
Here's how Copilot's picks actually performed...
Further Ado (finished 11th)Chief Wallabee (finished 4th)The Puma (SCRATCHED)Renegade (finished 2nd)Commandment (finished 7th)So Happy (finished 9th)Emerging Market (finished 10th)Danon Bourbon (finished 5th)Potente (finished 12th)Incredibolt (finished 6th)Robusta (finished 14th)Ocelli (finished 3rd)Golden Tempo (finished 1st)Pavlovian (finished 18th)Great White (SCRATCHED)Wonder Dean (finished 8th) Litmus Test (finished 17th)Albus (finished 15th)Six Speed (finished 13th)Intrepido (finished 16th)
Copilot was told to use the latest odds, conditions, and analysis of favorites, best bets, expert picks, previous results and race history with the post positions, according to USA Today.
And meanwhile, Yahoo Sports asked Claude "to simulate the race using the opening odds, draw and potential track conditions. We also asked it to factor in some human predictions."
Like Microsoft Copilot, Claude also picked Further Ado to finish first (though it came in 11th) — and predicted that Golden Tempo (the eventual first-place finisher) would finish 12th.
Further Ado (finished 11th)The Puma (SCRATCHED)Commandment (finished 7th)Chief Wallabee (finished 4th)Renegade (finished 2nd)Emerging Market (finished 10th)So Happy (finished 9th)Incredibolt (finished 6th)Danon Bourbon (finished 5th)Potente (finished 12th)Pavlovian (finished 18th)Golden Tempo (finished 1st) Litmus Test (finished 17th)Albus (finished 15th)Wonder Dean (finished 8th)Six Speed (finished 13th)Intrepido (finished 16th)
Connexion
