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Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different direction — pursuing the development of smaller, more efficient models and often open sourcing them. The latest worth paying attention to comes from the lesser-known Palo Alto startup Zyphra, which this week released its new reasoning, mixture-of-experts (MoE) language model, ZAYA1-8B, with just over 8 billion parameters and only 760 milli
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An East Bay apartment complex has been bought at a price that's well below its prior value. Read more ›
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A PG&E Corp. unit has bought a San Jose building in a move to bolster the utility's South Bay operations. Read more ›
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3 ex-Palantir engineers raise $60m from Index, Iconiq, SAP for agentic operating system Read more ›
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As AI data centers, factories, airlines, and heavy industries consume more energy, one question keeps resurfacing: How will the world remove billions of tons of carbon dioxide already in the atmosphere? A coalition backed by some of the biggest names ... Read more ›
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Housemarque is a team with a long history of creating games for a certain type of audience. The Finnish studio, which started out making smaller, arcadey titles, has grown to be among the most prestigious PlayStation first-party studios. But despite the expanding scope of its games, its philosophy about its niche genre never changed. Read more Read more ›
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Squeamish sorts can rest assured that Death Stranding's live-action movie adaptation won't have the same level of violence as director Michael Sarnoski's previous films, but it will, he says, still honour the video game's "bleak and barren post-apocalyptic environment". Read more Read more ›
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Disappointment ripples across the Stop Killing Games movement today after the European Commission delivered its verdict on the recent parliamentary hearings around online game preservation, and how the EU intends to help - or not - the movement going forward. Read more Read more ›
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Я занимаюсь карьерным консультированием несколько лет. За это время я поняла одну вещь: проблема редко в том, что человек недостаточно крутой специалист. Проблема в том, что его не видно.И LinkedIn — это именно то место, где это можно исправить.Кейс, который я вспоминаю чаще всегоКо мне обратилась женщина 40+. Без опыта в IT. С хорошим бэкграундом в другой сфере, но с ощущением, что в технологичные компании её не возьмут — не... Read more ›
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Когда речь заходит о рекламных интеграциях, многие компании до сих пор опасаются обязательной маркировки рекламы. На рынке распространилось мнение, что рекламная отметка автоматически снижает охваты и делает кампанию менее эффективной.Вместе с коллегами из ОРД-А я изучила доступные данные и исследования, и картина получается скорее обратная: явная маркировка не связана с падением вовлеченности, а иногда даже коррелирует с более высокой активностью аудитории. Разбираемся в статье. Читать далее Read more ›
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Наткнулся на кое-что, что показалось мне весьма ценным.Это довольно редко встречается: AI-компании вроде Claude действительно делятся мыслями и размышлениями об организационной структуре. Читать далее Read more ›
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Nvidia showcases agentic robots that can teach themselves high-precision and dexterous tasks - like PC building - in the real world. Read more ›
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Smart mowers are an expensive alternative to old-fashioned yard work, but they’re finally good enough to consider if you’d rather sip an iced tea and watch a robot tame your lawn. Read more ›
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As a frequent traveler who's been to all 50 states, I think Chicago, Anchorage, and Jackson are some of the best places in the US to visit in summer. Read more ›
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A nutritionist swears by a simple rule for healthy eating to boost energy, improve mood, support good digestion, and curb cravings. Read more ›
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ИИ-трансформация звучит заманчиво. Но между «мы внедрили» и «приносит компании деньги» лежит пропасть. Найти и устранить этот разрыв помогают метрики. Данная статья — про то, как построить систему метрик, которая отвечает на единственный вопрос, важный для бизнеса: окупается ли это и насколько.Привет, Хабр! Меня зовут Александр Смирнов, я продуктовый аналитик, помогаю находить точки роста, оптимизировать процессы и принимать решения на основе данных, а не интуиции. Сейчас многие компании проходят этап... Read more ›
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Йен Белл — со-автор, вместе с Дэвидом Бребеном, легендарной игры Elite, которая в 80-х вывела геймдизайн на уровень коммерческого и культурного феномена. Она по-прежнему изучается в разных уголках мира как пример очень эффективного и новаторского подхода к программированию, геймплею и визуальному дизайну. Йен Белл согласился немного поговорить со мной об истории игры, своих взглядах на ИИ и об искусстве геймдизайна.Легенда передает привет Хабру с рыжим другом. Читать далее Read more ›
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Matter, the smart home interoperability standard, might finally get a feature that should have been there from day one: a single shared Matter network managed by multiple ecosystems. With this feature, called Joint Fabric, smart devices added to the network will be controllable by any authorized platform - Apple Home, Google Home, Amazon Alexa, and […] Read more ›
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A London-based AI startup founded by three former Palantir employees, which is looking to modernise ERP systems, has raised $60m in new funding. The Series A investment in Conduct was co-led by new in... Read more ›
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VentureBeat
Enterprise AI teams face a dilemma: The best models today might not be the best models a year from now. MassMutual's answer is to stop making long-term bets — and build infrastructure that can swap models as the market shifts.“The world of AI today is extremely dynamic,” Sears Merritt, MassMutual CIO, explained in a new VB Beyond the Pilot podcast. “We wanted to make sure we were positioned to ride... Read more ›
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In a sweeping new essay titled "Policy on the AI Exponential," Anthropic co-founder and CEO Dario Amodei publicly calls for new government regulations governing the release of powerful AI models — specifically comparing AI industry to commercial aviation, which follows regulations enforced by the U.S. Federal Aviation Administration (FAA) — arguing that this is necessary to maintain public safety as AI capabilities and potential misuses grow.Alongside the essay, Anthropic released... Read more ›
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Training a foundation LLM from scratch costs millions and requires internet-scale data — which is why most enterprises don't bother. Sapient thinks it has a cheaper path.To overcome this brute-force scaling dogma, researchers at Sapient developed HRM-Text, which replaces standard Transformers with a highly sample-efficient Hierarchical Recurrent Model (HRM), an architecture they first introduced last year.HRM decouples computation into slow-evolving strategic and fast-evolving execution layers. Instead of b Read more ›
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Researchers from the University of California, Berkeley's Center for Responsible, Decentralized Intelligence (RDI), alongside an advisory committee of over 300 domain experts, have launched Agents’ Last Exam (ALE)—a grueling new benchmark built to measure whether artificial intelligence can actually execute economically valuable, long-horizon professional workflows.In a shocking upset, OpenAI’s GPT-5.5 from April, operating through the Codex harness, secured the absolute top spot on the new ALE Leaderboard. Read more ›
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Presented by Capital One Enterprises aren’t struggling to experiment with AI; they’re struggling to make it work in the real world. Moving from promising prototypes to reliable, production-scale systems is where most efforts stall.In my role within Capital One’s AI Foundations organization, I’ve seen firsthand that successful AI implementation isn’t just about adopting the latest models or tools. It requires a disciplined R&D approach that connects foundational research to real-world... Read more ›
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GenAI image generators like Stable Diffusion do not draw a picture pixel by pixel from left to right. They start with noise and iteratively refine the entire image in parallel until it converges, in a process known as diffusion. For years, applying that same principle to text generation had remained out of reach at scale.Standard language models work like a typewriter: one token at a time, left to right, with... Read more ›
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Presented by F5Enterprise AI teams have spent years solving for compute, securing GPU allocations, negotiating cloud capacity, and benchmarking training throughput. The assumption embedded in that work is that the path between storage and compute will keep up. In production, that assumption increasingly does not hold. Real traffic introduces latency spikes, network jitter, and node degradation that controlled benchmarks fail to capture, resulting in pipelines that perform well in the... Read more ›
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Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory and compute that growing context demands. Most existing solutions either degrade model accuracy, require the full context to load before compression begins, or produce memory savings that don't translate into real speedups in standard serving infrastructure.A research team from NYU, Columbia, Princeton,... Read more ›
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Xiaomi's MiMo AI team has open-sourced MiMo Code V0.1.0, a terminal-native AI coding assistant that the Chinese electronics giant says outperforms Anthropic's Claude Code on key agentic coding benchmarks, especially on long-horizon, multi-step tasks (200+ steps) — at least, according to its own internal beta release and survey of 576 developers. It's also bundling limited-time free access to MiMo-V2.5, its multimodal flagship model with a million-token context window, requiring no... Read more ›
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Agent skills have become an important part of real-world AI applications, providing a mechanism — a set of instructions saved in a folder of text-based markdown (.md) files, usually — for models to adapt to specific enterprise use cases and complex workflows. However, optimizing these skills is a slow process and faulty process, as they cannot be trained in the same way as the parameters of the underlying AI model.... Read more ›
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17.06.2026 08:37
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