12 place 6
Companies building AI applications may think Amazon's AWS is the only place to turn for help, but we need an open AI platform.
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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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Есть жанр статей про RAG, который выглядит так: подключаем векторную базу, берём эмбеддер, сверху реранкер, для верности — гибридный поиск с BM25, и вот у нас продакшн-ready система. Двадцать строк кода, стрелочки на схеме, всё летает.Я прошёл этот путь до конца на реальных данных. И почти каждое «правильное» улучшение из этого списка на моих данных сделало хуже. BM25 уронил метрику. Реранкер уронил метрику. Дважды, в двух разных конфигурациях. Единственное, что... Read more ›
0 newcommer
В прошлой статье я рассказывал, как мы делаем онлайн IDE для .NET — дизайн, компиляция и запуск приложений происходят прямо в браузере, без сервера. Проект живёт по адресу xaml.io. С тех пор мы много чего добавили, и в какой-то момент у нас стало получаться загружать в IDE довольно крупные .NET проекты — десятки XAML, сотни C# файлов, несколько референсных проектов и пакетов NuGet.Одна из главных возможностей — это визуальный UI-дизайнер... Read more ›
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Variety reports: "The Odyssey" leaks have begun, as a high-quality bootleg of the film reached millions of people on X thanks to a viral tweet on July 25. At 2:25 p.m. PT, a post on X reading "Someone uploaded 'The Odyssey' full movie on X. Can you believe it?" amplified a message from a now-suspended account. The message included a high-quality version of the film, as confirmed by Variety, and... Read more ›
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Привет, Хабр! Сегодня хочу поделиться опытом знакомства с одним интересным инструментом, который недавно попался мне на глаза. Называется он RunHouse. Если вкратце — это попытка ответить на извечный вопрос "как развернуть корпоративный софт, не став DevOps-инженером за неделю?".Сразу скажу, никакого скрытого пиара, просто реально полезная находка для тех, кто устал от YAML-марафонов. Читать далее Read more ›
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Последние год-два многие наверняка заметили одну и ту же картину. Очередной «бесплатный VPN» или прокси из Telegram сначала работает нормально, а спустя несколько дней начинаются проблемы. Reels зависают через несколько секунд после запуска, YouTube периодически перестает загружать видео, Telegram бесконечно показывает Connecting, а Google AI Studio или Gemini могут отвечать ошибкой даже при использовании VPN.Причина уже не сводится только к блокировке IP-адресов. Современные системы фильтрации все чаще ана Read more ›
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The Galaxy Z TriFold 2 and Galaxy S27 Pro could help Samsung build its most diverse flagship smartphone lineup yet. Read more ›
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ETH outperforms BTC, hinting at potential altcoin rally, as the U.S. and Iran hold fire and oil drops. Read more ›
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Debate over British role shows strained relations during UK-EU ‘reset’ negotiations Read more ›
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Rising expenditure from OpenAI, Anthropic, Google and Microsoft reflects growing battle over federal policy Read more ›
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Process could test investors’ willingness to back business software groups with market roiled by AI disruption Read more ›
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See the Moon phase expected for July 27, 2026 as well as when the next Full Moon is expected. Read more ›
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Front-engined, rear-wheel drive sedans are a dying breed, but they're not quite dead yet, as proven by potential new models from these automakers. Read more ›
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GrapheneOS says advances made by Qualcomm are finally making its planned Motorola support possible. Read more ›
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В какой-то момент разработки приложение становится достаточно зрелым, а команда достаточно большой. Или наоборот. Тогда кто-то решает, что пора собирать метрики: Crash Rate, Hitch Rate, время холодного запуска, потребление памяти, сетевые ошибки. Организуются красивые дашборды, пишутся аккуратные отчеты, ставятся четкие квартальные цели. Все довольны. Пока не придет технический директор и не спросит: Интересный вопрос Read more ›
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VentureBeat
Presented by JumpCloudThe organizations losing confidence in AI are the ones most likely to get it right.Six months ago, 40% of IT leaders described their organizations as mature in AI deployment. Today that number is 23%. Before you read that as a setback, consider what it actually reflects.We recently surveyed 800 IT leaders across the U.S. and U.K. for our Q3 2026 trends report, and the data tells a consistent... Read more ›
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Hugging Face’s incident response team first turned to frontier AI models to analyze a breach of the company’s production infrastructure, and the models refused to help. Commercial safety guardrails built to stop attackers blocked every forensic query because they treated the IR team’s real exploit data the same way they would treat a live attack.The attacker, an autonomous AI agent running the campaign end to end, moved laterally across the... Read more ›
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The enterprise technology ecosystem is caught in a costly cycle. Over the past two years, millions of dollars have been funneled into generative AI pilots, yet many of these initiatives stall out before ever reaching a live production environment.When a project fails, the immediate instinct of technical leadership is often to blame the model: The context window was too restrictive, the latency was too high, or the reasoning capabilities simply... Read more ›
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Zillow, the real estate technology company, doesn't get one conversation with its customers. They move from a phone screen to a loan officer to a real estate agent, sometimes over months or years, and expect the context to follow them. A single chatbot could never carry that thread.At VB Transform 2026, Zillow SVP of Engineering Toby Roberts and Glean co-founder and CEO Arvind Jain described how they built AI architecture... Read more ›
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A single AI agent conversation can look flawless scored on its own and still point to a broken product. That gap is driving a shift in how enterprises evaluate agents, away from scoring individual traces and toward comparing cohorts of users against a baseline.At VB Transform 2026, Harrison Chase, CEO of LangChain; Hui Zhang, CTO and co-founder of Conviva; and Emmanuel Turlay, director of engineering at CoreWeave, described that shift,... Read more ›
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Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in production.A new paper from researchers at Writer provides a solution that is accessible to engineering teams. The study takes a systematic look at optimizing the different components of the orchestration layer that wraps around the foundation model, aka the... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode what you want the product to do through your evals, which might include red teaming evals and all kinds of other things, which already have a bunch of security requirements. So, you already embed that into the PRD and... Read more ›
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Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5... Read more ›
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27.07.2026 01:25
Last update: 01:10 EDT.
News rating updated: 08:20.
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