🗣️ "Language is the most profound manifestation of human evolution, and we believe that solving translation will open a new era of global collaboration." Those words from our co-founder Marco Trombetti set the tone for "AI, From the Inside", the event we hosted at Pi Campus on Monday, September 21, as part of @romefutureweek 2026. The co-founder Isabelle Andrieu retraced the story of Translated, we have been working on language and AI since 1999, back when teaching machines to grasp meaning still sounded like science fiction. Marco then looked ahead in his keynote, "What Comes After AI?" He shared what our long-term research tells us about how close AI has come to human-level quality in translation, and why scaling today's models will not be enough to close the remaining gap. Closing it calls for a different route, and that is where Lara 3, the latest version of our specialized translation AI, comes in, with an innovative model that learns by doing. It all started with a question that still drives Translated today: how can everyone understand and be understood in their own language? #AI #Translation #RomeFutureWeek

𝗢𝗻𝗲 𝗺𝗼𝗻𝘁𝗵 𝘁𝗼 𝗴𝗼. The deadline to apply for the Imminent Research Grants is just one month away. We’re looking for researchers, innovators, startups, university labs, organisations, and companies working on the future of language research. Five projects will receive $20,000 each to support one year of research across areas including Language Data, Language Economics, Neuroscience of Language, Human-Computer Interaction, and Machine Learning for Translation. If you have an idea that could help us better understand where language and AI are heading, now is the time to apply. Deadline: 15 October 2026. Apply now and join a growing community exploring what comes next. go.translated.com/grants1mon…

#Translation gives #AI nowhere to hide. Tomorrow at #SlatorCon San Francisco, our CEO Marco Trombetti will explore how translation reveals the limits of today’s AI architectures earlier than most applications. You will learn why recent improvements are slowing even as models grow larger and more expensive, and what research directions can address these limits, from parallel reasoning to learning by experience. Join us at 2:00 PM for 𝘛𝘳𝘢𝘯𝘴𝘭𝘢𝘵𝘪𝘰𝘯 𝘢𝘯𝘥 𝘵𝘩𝘦 𝘓𝘪𝘮𝘪𝘵𝘴 𝘰𝘧 𝘊𝘶𝘳𝘳𝘦𝘯𝘵 𝘈𝘐 𝘈𝘳𝘤𝘩𝘪𝘵𝘦𝘤𝘵𝘶𝘳𝘦. #t9n #l10n #MT #localization

AI is good at learning from data. But human intelligence is shaped by something more fundamental: our ability to act, interact, make mistakes, and learn from what happens next. In our latest interview, Prof. A. Aldo Faisal explores the idea of embodied AI—systems that operate within real-world behavioral loops, connecting perception, action, and feedback. His work looks at how understanding human behavior, from movement and gaze to everyday interactions, could help us build more capable and more responsive systems. From reinforcement learning to “living labs” that capture natural human behavior, Faisal argues that the body offers important clues about how intelligence works—and how technology can be designed to assist people rather than replace them. This conversation is part of Imminent's editorial journey through the @dvps_ai project, exploring the technologies, infrastructures, and people shaping the future of hashtag#EuropeanAI. Read the interview here: go.translated.com/AIandthehu…

#Translation #AI is entering the age of 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲. We’re bringing it to San Francisco. On September 3, Translated will be at #SlatorCon. Our CEO @marcotrombetti will speak on “Translation and the Limits of Current AI Architecture.” Meet Michael Stevens, Dana Barras Franco, and Chris Thomas at our booth to discover Lara 3, a first-of-its-kind translation AI built on experience through Learning by Doing, and TranslationOS, our adaptive AI service delivery platform that orchestrates Lara and language professionals while automating localization from request to delivery. Attending? Reach out to meet us there. #TranslationAI #t9n #l10n #Localization

𝗪𝗲𝗮𝘁𝗵𝗲𝗿 𝗶𝘀 𝘁𝗵𝗲 𝗼𝗹𝗱𝗲𝘀𝘁 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗵𝘂𝗺𝗮𝗻𝗶𝘁𝘆 𝗵𝗮𝘀 𝗲𝘃𝗲𝗿 𝘁𝗿𝗶𝗲𝗱 𝘁𝗼 𝗱𝗲𝗰𝗶𝗽𝗵𝗲𝗿. 𝗥𝗲𝗮𝗱𝗶𝗻𝗴 𝗶𝘁 𝗵𝗮𝘀 𝗮𝗹𝘄𝗮𝘆𝘀 𝗯𝗲𝗲𝗻 𝗮 𝗺𝗮𝘁𝘁𝗲𝗿 𝗼𝗳 𝘀𝘂𝗿𝘃𝗶𝘃𝗮𝗹. But what happens when the grammar of that language changes? Weather AI is turning decades of scientific knowledge into something faster, cheaper and more widely available, changing who gets to read the weather and what we can do with that knowledge. And that matters. Weather shapes food, energy, health, infrastructure and economies, while climate change is making the cost of getting it wrong harder to ignore. The real leap is not only predicting weather better. It's making weather intelligence accessible: turning forecasts into decisions that help people and societies prepare, adapt and act. We spoke with Richard Turner, Research Lead for AI in Weather Prediction at Alan Turing Institute and Professor of Machine Learning at University of Cambridge, about how AI is reshaping the way we understand weather, and what comes next. Read the full interview on Imminent. go.translated.com/richardtur…

🤔 Every breakthrough in hashtag#AI begins when the way it learns changes. We have moved from rules to data to prediction. What comes next? Join us today to explore what 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗳𝗿𝗼𝗺 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 means for #translation AI and introduce the next chapter of Lara and Lara Translate. ✨ #t9n #l10n go.translated.com/lara3

AI can beat any human at chess, but it still can't fix a leaking pipe. For Alexander Waibel, professor at @CarnegieMellon and the Karlsruhe Institute of Technology (KIT), that gap reveals more about intelligence than any benchmark ever could. For Waibel, intelligence goes far beyond scaling learned information. It lies in the ability to understand context and apply knowledge differently from one situation to the next. It's a perspective that suggests the next breakthrough in AI won't be driven by more data, but by deeper contextual understanding. Read the interview with the pioneer of machine translation to explore where the next frontier of artificial intelligence is heading. go.translated.com/Scientific…

📍How old is your AI, and how much #translation experience does it have? 👇 Join us on July 30 to discover why 𝗲𝘅𝗽𝗲𝗿𝗶𝗲𝗻𝗰𝗲 will drive the next leap in #AI and what that means for the future of translation. We’ll also unveil the latest version of Lara and introduce a new @LaraTranslate offering designed to better meet the needs of today’s workplace. #t9n #l10n #localization hubs.la/Q04qw6wn0

Read the full article here resources.translated.com/bui…

🤔 Every breakthrough in #AI begins when the way it learns changes. We have moved from rules to data to prediction. What comes next? On July 30, we will explore what learning from experience means for #translation AI and introduce the next chapter of Lara and Lara Translate. ✨ Join us as we welcome experience into translation AI. #t9n #l10n #translation #localization go.translated.com/lara3

One question. Four languages. A timeless pursuit. Over the past year, our quarterly series 𝗚𝗹𝗼𝗯𝗮𝗹 𝗣𝗲𝗿𝘀𝗽𝗲𝗰𝘁𝗶𝘃𝗲𝘀 has been asking: What makes a language perfect? For centuries, the answer came from above — from institutions, empires, linguistic traditions. But in this final issue, something different emerges. Through 𝗹𝗼𝗰𝗮𝗹 𝘃𝗼𝗶𝗰𝗲𝘀 𝗳𝗿𝗼𝗺 𝗱𝗶𝗳𝗳𝗲𝗿𝗲𝗻𝘁 𝗰𝗼𝗿𝗻𝗲𝗿𝘀 𝗼𝗳 𝘁𝗵𝗲 𝗴𝗹𝗼𝗯𝗲, it becomes clear that linguistic perfection isn't measured by grammar or purity, but by a language's capacity to help communities navigate the challenges of their own time. In 𝗝𝗮𝗽𝗮𝗻, the transition from keigo to tameguchi shows how a new generation is using language to seek connection in an increasingly isolated society. In 𝗨𝗿𝗱𝘂, language becomes a homeland, preserving belonging even when borders fade. In 𝗦𝘄𝗮𝗵𝗶𝗹𝗶, a language owned by no one became common ground for millions—bringing vastly different communities together without becoming a tool of domination. And in 𝗚𝗲𝗿𝗺𝗮𝗻, compound words turn change into something that can be named, shared, and understood. Together, 𝘁𝗵𝗲𝘀𝗲 𝗳𝗼𝘂𝗿 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲𝘀 𝗿𝗲𝘃𝗲𝗮𝗹 𝘁𝗵𝗮𝘁 𝗹𝗮𝗻𝗴𝘂𝗮𝗴𝗲 𝗵𝗮𝘀 𝗮𝗹𝘄𝗮𝘆𝘀 𝗯𝗲𝗲𝗻 𝗮 𝘀𝗼𝗰𝗶𝗮𝗹 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆: a way to feel part of something larger, to hold identity together under pressure, and to make sense of a changing world. And that may be the most perfect—and most human—thing language can do. Read the full issue on Imminent. go.translated.com/languagebe…