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When an OpenAI finance analyst needed to compare revenue across geographies and customer cohorts last year, it took hours of work — hunting through 70,000 datasets, writing SQL queries, verifying table schemas. Today, the same analyst types a plain-English question into Slack and gets a finished chart in minutes.The tool behind that transformation was built by two engineers in three months. Seventy percent of its code was written by AI. And it is now used by more than 4,000 of OpenAI's roughly 5,000 employe
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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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Jensen Huang says China has become a lost market for Nvidia due to U.S. sanctions, but warns that America could lose out in a broader AI competition. Read more ›
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The Apple iPhone Air wasn’t the first super-slim phone, but it was the phone that started the craze, anyway – Apple has that effect on the market. Right now, the phone is up to €480 off. That gets you a 6.5” LTPO display (120Hz) and the powerful Apple A19 Pro chipset. The 3,149mAh battery is oh-so-small, but it still achieved a decent 12:44h Active Use Score – and there’s a... Read more ›
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A compact travel shaver with great battery life that performs as advertised — though a trimmer attachment would've been nice for beard-havers. Read more ›
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Streaming made music convenient, but my iPod made it enjoyable again. Here’s why I switched back. Read more ›
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Altos Computer Systems — американская компания, которая одной из первых сделала многопользовательские системы и Unix‑серверы доступными для малого и среднего бизнеса. Фирма появилась в 1977 году в Сан‑Хосе (Калифорния) и изначально продавала собственные одноплатные компьютеры, на базе которых партнеры строили целые системы.В отличие от производителей массовых персональных ПК, Altos изначально делали ставку на многопользовательские конфигурации: один сервер и несколько терминалов, подключенных по последовате Read more ›
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This is The Stepback, a weekly newsletter breaking down one essential story from the tech world. For more on how AI is changing music and the music industry, follow Terrence O'Brien. The Stepback arrives in our subscribers' inboxes at 8AM ET. Opt in for The Stepback here. How it started The use of generative AI […] Read more ›
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Ryan Garrido started a business while living overseas — something he didn't think he could do while living in the US due to the high cost of living. Read more ›
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Поискал облегченных методологий разработки, да и чтобы с возможностью включения агентов в процессы и не нашел.В этой статье я пробую сформулировать облегчённую методологию разработки для кросс-функциональных команд. Центральная идея — явный handover: задача не переходит молча, каждая передача — это осознанное действие с контекстом. По идее, методология должна одинаково работать, когда в команде 3 человека, 15 человек, или когда один или несколько из «участников» — AI-агенты. Это концепт, идея, черновик,... Read more ›
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Автор: Александр Никулин, архитектор цифровых двойников ГК "ПЛМ Урал"Статья посвящена анализу причин отставания проектирования от производства во внедрении гибридных цифровых двойников (ГЦД). Приведена реализация ГЦД электродвигателя на единой платформе. Отмечено, что ключевым барьером является отсутствие нормативной базы и экономических стимулов для использования ГЦД как доказательной базы при сертификации. Сделан вывод о риске потери конкурентоспособности российских разработчиков сложной техники. Пре Read more ›
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Looking for a new set of Bridgestone tires? Discover why the retail giant with the lowest sticker price might actually cost you more in hidden fees. Read more ›
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Sentience is hot these days. Partly because of the development of impressive new AI systems, everyone seems to be asking: How do we know if something is sentient? While consciousness means simply having a subjective point of view on the world — a feeling of what it’s like to be you — sentience is the […] Read more ›
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Utah's Online Age Verification Amendments, formally Senate Bill 73, take effect on May 6. Read more ›
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Crimson Desert has just rolled out one of its biggest patches yet, introducing the Rematch and Re-blockade features alongside new legendary creatures that can be kept as pets. Read more Read more ›
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An anonymous reader shared this report from the BBC: "If even one extra person is able to access the internet, I think it's successful and it's worth it," says Sahand. The Iranian man is visibly anxious, speaking to the BBC outside Iran, as he carefully explains how he is part of a clandestine network smuggling satellite internet technology — which is illegal in Iran — into the country. Sahand, whose... Read more ›
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All the ways to watch Man Utd vs Liverpool live streams online and from anywhere, as two Premier League heavyweights collide at Old Trafford. Read more ›
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Выдуманный мир тёплых (до)ламповых технологий – это не обязательно «стимпанк». Можно заглянуть и глубже, в «клокворкпанк», ведь спиральная пружина – двигатель более древний и при этом более компактный, чем паровая машина. Она широко используется с середины XVII века: именно благодаря металлической спирали часы стали карманными. Часовая пружина крутила шестерёнки заводных игрушек, музыкальных шкатулок, граммофонов и много чего ещё, зачастую совершенно шедеврального a la лесковская блоха. Послужила она и наук Read more ›
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This $2,000 Asus laptop delivers breathtaking performance thanks to Qualcomm's Snapdragon X2 Elite Extreme, but at the cost of nearly everything else. Read more ›
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$800 на видеокарту которая устареет через год или $200/мес с доступом к frontier-моделям? Вот мои цифры Читать далее Read more ›
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VentureBeat
The stochastic challengeTraditional software is predictable: Input A plus function B always equals output C. This determinism allows engineers to develop robust tests. On the other hand, generative AI is stochastic and unpredictable. The exact same prompt often yields different results on Monday versus Tuesday, breaking the traditional unit testing that engineers know and love.To ship enterprise-ready AI, engineers cannot rely on mere “vibe checks” that pass today but fail... Read more ›
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Enterprise teams that fine-tune their RAG embedding models for better precision may be unintentionally degrading the retrieval quality those pipelines depend on, according to new research from Redis.The paper, "Training for Compositional Sensitivity Reduces Dense Retrieval Generalization," tested what happens when teams train embedding models for compositional sensitivity. That is the ability to catch sentences that look nearly identical but mean something different — "the dog bit the man" versus... Read more ›
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Presented by EdgeverveSupply chains are where legacy integration models reach their limits. As partner networks expand and operational volatility increases, traditional middleware is buckling under costs and complexity. That’s why supply chain has emerged as a proving ground for automation‑led integration Platform as a Service (iPaaS), a next-generation model designed to absorb constant change without rewriting the stack.This article takes a look at today’s supply chains, the limits of legacy... Read more ›
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AI R&D runs on a cycle of hypothesis, experiment, and analysis — each step demanding substantial manual engineering effort. A new framework from researchers at SII-GAIR aims to close that bottleneck by automating the full optimization loop for training data, model architectures, and learning algorithms.A new framework called ASI-EVOLVE, developed by researchers at the Generative Artificial Intelligence Research Lab (SII-GAIR), aims to solve this bottleneck. Designed as an agentic system... Read more ›
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Xiaomi, the Chinese firm best known for its smartphones and electric vehicles, has lately been shipping some incredibly affordable and high-powered open source AI large language models.The trend continued today with the release of Xiaomi MiMo-V2.5 and Xiaomi MiMo-V2.5-Pro, both available under the permissive, enterprise-friendly MIT License, making them suitable for use in production in commercial applications. Enterprises and individual/independent developers can now download either of the models (and more Read more ›
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Microsoft and OpenAI on Monday announced a sweeping overhaul of the partnership that has defined the commercial AI era, dismantling key pillars of exclusivity and revenue-sharing that bound the two companies together for years and replacing them with a looser, time-limited arrangement that gives both sides far more freedom to pursue rival relationships.The amended agreement, disclosed simultaneously in blog posts from both companies, marks the most significant restructuring since Microsoft... Read more ›
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Mistral AI, the Paris-based artificial intelligence company valued at €11.7 billion ($13.8 billion), today released Workflows in public preview — a production-grade orchestration layer designed to move enterprise AI systems out of proofs of concept and into the business processes that generate revenue.The product, which launches as part of Mistral's Studio platform, is the company's clearest articulation yet of a thesis that is quietly reshaping the enterprise AI market: that... Read more ›
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The AI race lately has felt a bit like a game of tennis: first, Anthropic releases a new, pricey state-of-the-art proprietary model for general users (Claude Opus 4.7), then, a week or so later, its rival OpenAI volleys back with one of its own (GPT-5.5). And all the while, Chinese companies like DeepSeek and even Xiaomi are seeking to appeal to users by playing a different game: nearing the frontier,... Read more ›
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Training AI reasoning models demands resources that most enterprise teams do not have. Engineering teams are often forced to choose between distilling knowledge from large, expensive models or relying on reinforcement learning techniques that provide sparse feedback.Researchers at JD.com and several academic institutions recently introduced a new training paradigm that sidesteps this dilemma. The technique, called Reinforcement Learning with Verifiable Rewards with Self-Distillation (RLSD), combines the rel Read more ›
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For most data engineering teams, managing pipeline reliability often means waiting for an alert, manually tracing failures across distributed jobs and clusters, and fixing problems after they've already hit the business. Agentic AI needs the data to be there, clean and on time. A pipeline that fails silently or delivers stale data doesn't just break a dashboard — it breaks the AI system depending on it.That gap is what Definity,... Read more ›
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03.05.2026 08:27
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