“Frontier intelligence, efficient performance Advanced reasoning for IDEs, coding assistants, and agentic workflows. These models are optimized for consumer GPUs — giving students, researchers, and developers the ability to turn workstations into local-first AI servers.”
Source : Gemma 4 — Google DeepMind
“Nano Banana 2 brings the high-speed intelligence of Gemini Flash to visual generation, making rapid edits and iteration possible. It makes once-exclusive Pro features accessible to a wider audience, including: Advanced world knowledge: The model pulls from Gemini’s real-world knowledge base, and is powered by real-time information and images from web search to more accurately render specific subjects. This deep understanding also helps you create infographics, turn notes into diagrams and generate data visualizations. Precision text rendering and translation: Nano Banana 2 allows you to generate accurate, legible text for marketing mockups or greeting cards. You can even translate and localize text within an image to share your ideas globally.”
Source : Nano Banana 2: Google’s latest AI image generation model
“ Robotics partnership aims to combine Boston Dynamics’ athletic intelligence with Google DeepMind’s foundational capabilities. Joint research utilizing Gemini Robotics foundation models and new fleet of Atlas robots will begin this year ”
“Ironwood is the result of a continuous loop at Google where researchers influence hardware design, and hardware accelerates research. While competitors rely on external vendors, when Google DeepMind needs a specific architectural advancement for a model like Gemini, they collaborate directly with their TPU engineer counterparts. As a result, our models are trained on the newest TPU generations, often seeing significant speedups over previous hardware. Our researchers even use AI to design the next chip generation — a method called AlphaChip — which has used reinforcement learning to generate superior layouts for the last three TPU generations, including Ironwood.”
Source : 3 things to know about Ironwood, Google’s latest TPU
“Holy s—. I’ve used ChatGPT every day for 3 years. Just spent 2 hours on Gemini 3. I’m not going back,” Benioff wrote on X. “The leap is insane — reasoning, speed, images, video… everything is sharper and faster. It feels like the world just changed, again.”
Benioff, who has 1.1 million followers on X, had more than 3.2 million people see his post by Tuesday morning, according to the social network.
But behind the public compliments, there are signs of concern at OpenAI. In an internal memo written before Gemini 3’s release and obtained by The Information, Altman told employees to expect “rough vibes,” adding “by all accounts, Google has been doing excellent work recently.” He said Google’s progress could “create some temporary economic headwinds for our company,” but insisted OpenAI is “catching up fast.””
“L’algorithme Discover de « recommandation de contenus » de Google, principale source de trafic des sites journalistiques français, est devenu une « pompe à fric » pour les sites monétisés par la publicité, majoritairement financés par… la régie publicitaire de Google. Au point que près de 20 % des 1 000 sites d’info les plus recommandés par Google Discover, et 33 % des 120 sites les plus recommandés par Google News, à la rubrique Technologie, sont générés par IA.”
Source : 18% des médias et 33% des sites tech les plus recommandés par Google sont générés par IA – Next
“Voici pour commencer un rappel des quatre amendes prononcées par la Commission européenne, avec les montants initiaux. L’une d’entre elles a été annulée, une autre confirmée et une troisième légèrement réduite, mais en attente de confirmation (ou non) par la Cour de Justice de l’Union européenne. 2017 : 2,42 milliards d’euros (moteur de recherche, comparateur de prix) 2018 : 4,3 milliards d’euros (Android) 2019 : 1,49 milliard d’euros (publicité en ligne) 2025 : 2,95 milliards d’euros (publicité en ligne) Le montant dépasse les 11 milliards d’euros, trois des quatre procédures sont encore en cours.”
Source : Europe vs Google : déjà 11,2 milliards d’euros d’amendes, où en sont les procédures ? – Next
“The path to Simplify began in the specialized world of medicine, where no detail should be spared. « Doctors sometimes use language that’s purposefully obscured to reduce patient anxiety or preserve privacy, » says Diego Ardila, a Google Research software engineer. « They might say, ‘The patient is undergoing emesis,’ which just means they’re vomiting. Sometimes there’s a use for that inside a hospital, but other times it actually gets in the way.”The team built an internal simplification demo, and started testing it on text outside of medicine. “We found that it just kept working because the underlying AI models are general-purpose,” Diego says. “Seeing its potential for broader applications, we shared it with other teams.””
Source : How Simplify in the Google app uses AI to make complex text easier to understand
“Today we announced the first deployment of Kairos Power’s advanced nuclear reactor — the Hermes 2 Plant in Oak Ridge, Tennessee — through a new power purchase agreement (PPA) between Kairos Power and Tennessee Valley Authority (TVA). Marking the first purchase of electricity from an advanced GEN IV reactor by a U.S. utility, this agreement will enable 50 megawatts (MW) of nuclear energy on TVA’s grid that powers our data centers in Montgomery County, Tennessee and Jackson County, Alabama.”
Source : Our first advanced nuclear reactor project with Kairos Power and Tennessee Valley Authority
“With our new AI features, people are using Google Search more than ever as they get help with new and more complex questions. AI Overviews are one of our most popular Search features — now used by more than a billion people — and we’re continuing to advance and improve the experience to make them even better.”
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