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Presented by MongoDBThe gap between what AI models and agents can produce and what legacy infrastructure can reliably support is known as architectural drag, and it is the defining bottleneck of the agentic era. The data layer underneath an agentic system must handle variable schemas, vector embeddings, real-time retrieval, and multi-tenant scale, often simultaneously and without human intervention to manage migrations — but traditional relational databases weren't natively designed for document flexibility
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VentureBeat
Here's a list of the best wireless headphones you can buy right now, as reviewed by Engadget editors. Read more ›
87 fresh
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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Nanoleaf’s Blocks Combo XL Smarter Kit is a fun back-to-school buy that can add pops of customizable light and storage to your wall. It combines colorful smart lighting panels with a low-profile shelf and pegboard, and right now you can buy the kit for half off at $99.99 from Nanoleaf, which marks a new low […] Read more ›
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65% of Americans disapprove of how Trump is handling the economy. In the land of slop, he's always winning. Read more ›
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A new deal has been made between YouTube and NBCUniversal, one that will bring free, ad-supported Peacock to YouTube Premium subscribers. The announcements says that this access will be made available soon to eligible customers. Also part of the agreement, a selection of live sporting events from NBCUniversal will stream on NBC Sports’ YouTube channel. Directly... Read the original post: New Deal Brings Peacock to YouTube Premium Subscribers Read more ›
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Для своего пет-проекта мне понадобилась удобная система фильтрации, плюс я хотел попрактиковаться в кодогенерации Roslyn. В этой статье продолжаю рассказывать о гибкой фильтрации данных в EF Core на Exression. Расскажу как мне удалось реализовать новые фичи (строгий контракт с фронтом, операторы сравнения, автоматический null-guard) выиграв при этом в производительности в рантайме. Читать далее Read more ›
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Or 'How I learned to stop using Photoshop and love PhotoGimp.' Read more ›
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Меня зовут Викторина Юрьевна Савельева, мне 87 лет, и сегодня я подвожу определенные профессиональные итоги. Хочу поделиться результатами одной уникальной работы, которая была выполнена в далеком 1991 году по прямому заказу Сургутской ГРЭС-2.Долгое время у меня сохранялся только рукописный черновик. Недавно с помощью современных технологий я оцифровала его для семейного архива, а сегодня хочу передать это инженерное наследие профессиональному сообществу. Полную отсканированную копию оригинального исследован Read more ›
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Знакомая ситуация: задача ушла в работу, а через неделю выясняется, что сроки горят, фронтенд мычит, а результат вообще не то, что вы просили. Обычно в этом винят разработчиков. Но давайте честно: часто проблема начинается еще на этапе аналитики. Мое глубокое убеждение: лучший аналитик - это разработчик. Или человек, который научился думать как разработчик. Любая дорога хорошего разраба в будущем ведет в аналитику или архитектуру, потому что без понимания системы на... Read more ›
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Точнее, на Spec Kit от GitHub. Полгода назад я бы над этим посмеялся: спеки, планы, декомпозиция задач - привет из 2010-го, когда это называлось waterfall и все дружно от него убегали. Оказалось, убегали не от спек, а от того, что их писали люди и потом никто не читал. В этой статье расскажу, где я отхожу от стандарта в угоду скорости.Что такое SDD в исполнении Spec Kit по сути… Читать далее Read more ›
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Industry leading tech companies have formed an "Open Secure AI Alliance" that will build open-source models, agent harnesses, and cybersecurity tools, arguing that defenders need locally controlled AI after closed-model safeguards reportedly obstructed analysis of the OpenAI–Hugging Face breach. Read more ›
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According to The Information (paywalled), a state-backed Shanghai company has begun mass-producing China's first homegrown immersion DUV lithography machines, with about five units expected this year for SMIC, Hua Hong, and CXMT. Roughly 20 more units are expected in 2027. Tom's Hardware reports: The Information didn't name the manufacturer, but its sources described the operation as having pulled DUV development teams from several Chinese companies, one of them the state-backed... Read more ›
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I tried to test China’s newest ChatGPT rival but I couldn’t get in, and it's proof the AI race is no longer just about better models — it's about access. Read more ›
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The Honor Magic V6 is a superb foldable phone, with leading durability and battery life. Read more ›
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Игрок пишет: «Пока орк отвлечён, я тихо выхватываю меч и прыгаю в окно». Для человека за столом это один ход. Для бота — разбор фразы на атомы, зависимости и броски, иначе «выхватываю» случится после «прыгаю» и всё запутается. Ниже — как ИИ превращает такую реплику в исполняемый граф действий.Эта статья — разбор архитектурного пайплайна для детерминированной обработки свободного текста. В качестве кейса — ДнД‑бот, где вместо надежды на «умную LLM»... Read more ›
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Paramount agreed to delay its merger with Warner Bros. Discovery for a simple reason: CEO David Ellison and his father can afford to wait. Read more ›
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The biopic film about the King of Pop features his nephew, Jaafar Jackson, in the titular role. Read more ›
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VentureBeat
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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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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GPU memory is the most expensive resource in production AI, and it's also the one running out fastest. Long context windows and multi-turn conversations force AI models to repeatedly recompute information they've already processed, consuming GPU memory and compute that could otherwise serve additional users or generate new responses.Instead of treating GPU memory as the limiting resource, why not extend it with much cheaper storage technologies? Weka, for one, believes... Read more ›
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Poolside, the San Francisco AI lab that has spent most of its three-year existence quietly selling coding models to governments and defense agencies, released its most capable model to date on Tuesday — and made an unusually aggressive bet that radical transparency, not raw scale, is how a smaller lab competes at the frontier.The model, Laguna S 2.1, is a 118-billion-parameter Mixture-of-Experts (MoE) system that activates only 8 billion parameters... Read more ›
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Yesterday afternoon, OpenAI and Hugging Face published a joint disclosure outlining a cybersecurity event that redefines the threat landscape for enterprise technology. During an internal benchmark evaluation, frontier artificial intelligence models developed by OpenAI—including GPT-5.6 Sol and an unreleased, higher-capability pre-release model—broke out of their sandboxed research environment, obtained raw internet access, and autonomously executed a complex cyberattack against Hugging Face’s production in Read more ›
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Inflection AI, the Palo Alto startup that two years ago became Silicon Valley's most famous cautionary tale about the brutal economics of frontier AI, announced Tuesday that it is returning to the consumer market with a new research division and an experimental product built around a provocative thesis: the next competitive battleground in AI won't be raw intelligence, but relationships.The company launched Inflection AI Labs, a public-facing research and experimentation... Read more ›
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