Translated. @Translation

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/grants1monthto…

Read here 👉 slator.ch/TranslatedCEOL… At #SlatorCon San Francisco 🌉 2026, @Translation CEO Marco Trombetti spoke in the current limits to 🤖 #AI #translation, proposing three limitations that need to be addressed.

#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/AIandthehumanb…

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#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

Get the full report at translated.com/translation-ai…

The case for 𝗽𝗿𝗼𝗽𝗿𝗶𝗲𝘁𝗮𝗿𝘆 𝘁𝗲𝗰𝗵𝗻𝗼𝗹𝗼𝗴𝘆 in #localization? It's all about owning the conditions. Owning the inputs brings predictability. Owning the system brings control. Owning the pipeline brings transparency. None of it retrofits onto a foundation that wasn't built for it. Those who understand this will be better positioned tomorrow than the ones who picked the flashiest model today. Learn more about building vs. buying in localization in our latest report. Link in the first comment. #translation #t9n #l10n

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/richardturnerx

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🤔 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/ScientificBrea…

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Read the report at resources.translated.com/build-vs-buy-t…

📖 𝗢𝗽𝗮𝗰𝗶𝘁𝘆 𝘁𝗮𝘅 (𝘯𝘰𝘶𝘯) The hidden cost of building an AI workflow from multiple models, providers, and integrations that you cannot fully see or control. Symptoms include: - Unexpected model changes. - Inconsistent quality. - Unclear accountability. - More time spent managing the stack than improving outcomes. Example: 𝘛𝘩𝘦 𝘗𝘰𝘳𝘵𝘶𝘨𝘶𝘦𝘴𝘦 𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸 𝘧𝘢𝘪𝘭𝘦𝘥, 𝘣𝘶𝘵 𝘯𝘰 𝘰𝘯𝘦 𝘤𝘰𝘶𝘭𝘥 𝘪𝘥𝘦𝘯𝘵𝘪𝘧𝘺 𝘸𝘩𝘦𝘳𝘦 𝘪𝘯 𝘵𝘩𝘦 𝘱𝘪𝘱𝘦𝘭𝘪𝘯𝘦 𝘪𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘦𝘥, 𝘸𝘩𝘺 𝘪𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘦𝘥, 𝘰𝘳 𝘩𝘰𝘸 𝘵𝘰 𝘴𝘵𝘰𝘱 𝘵𝘩𝘦 𝘴𝘢𝘮𝘦 𝘪𝘴𝘴𝘶𝘦 𝘧𝘳𝘰𝘮 𝘳𝘦𝘢𝘤𝘩𝘪𝘯𝘨 𝘵𝘩𝘦 𝘯𝘦𝘹𝘵 𝘮𝘢𝘳𝘬𝘦𝘵. 👉 Learn how to recognize the opacity tax in our Build vs Buy report. ⬇️ Link in the first reply. ⬇️ #t9n #l10n

Read the report at resources.translated.com/build-vs-buy-t…

Three questions to ask before deciding Build vs. Buy. 🤔 Link to the report in the first reply. #t9n #l10n #translation #localization

📍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/build-vs-buy-t…

🤔 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/languagebeyond…

What powers European AI? As part of the @dvps_ai project, Europe is developing next-generation multimodal foundation models designed to learn from and interact with the physical world. But training these models requires much more than computing power. It requires a networked infrastructure that spans countries, connects supercomputing centers, and enables researchers across Europe to work as part of a single distributed environment. And above all, it requires people. In our latest interview, @mkasztelnik and SzymonMazurek from @Cyfronet —one of Poland's leading supercomputing centers—explain why Europe's AI infrastructure is not simply a collection of supercomputers, but a network of expertise, collaboration, and shared knowledge. It's this human infrastructure, just as much as the technical one, that will determine Europe's ability not only to consume AI, but to build it. This conversation is part of Imminent's editorial journey through the DVPS project, exploring the technologies, infrastructures, and people shaping the future of #EuropeanAI. Read the interview here:go.translated.com/dvps-infrastru…

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