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The $29.3 billion AI coding tool just got caught with its provenance showing. When Cursor launched Composer 2 last week — calling it "frontier-level coding intelligence" — it presented the model as evidence that the company is a serious AI research lab, not just a forked integrated development environment (IDE) wrapping someone else's foundation model. What the announcement omitted was that Composer 2 was built on top of Kimi K2.5, an open-source model from Moonshot AI, a Chinese startup backed by Alibaba,.
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VentureBeat
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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На локалке всё летает, а на проде ложится замертво? Дело в масштабировании. Big O — это не скучная теория для алгоритмических собеседований, а реальный инструмент, чтобы ваш код не «убивал» сервера. В этой статье я на простых примерах и без зубодробительной математики объясню, как оценивать сложность своих алгоритмов. От до — только суть, примеры на Python и немного здоровой иронии над медленным кодом. Читать далее Read more ›
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Nvidia may relaunch the RTX 3060 as VRAM shortages impact gaming GPUs, offering a practical solution with higher memory despite its older architecture. Read more ›
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Анализ DNS-снэпшота OpenINTEL за 2026-01-01TL;DR. Используя ежедневные DNS-снэпшоты OpenINTEL поверх списка Tranco top-1M, мы собрали ландшафт email-инфраструктуры публичного веба на 1 января 2026 года. MX-записи опубликовали 660 114 доменов, SPF — 616 352, DMARC — 431 133. Дуополия Google Workspace (21.7%) + Microsoft 365 (16.3%) занимает суммарно ~38% receiving-стороны — заметно меньше, чем принято считать в популярных обзорах. На outbound-стороне Amazon SES вышел вперёд по числу авторизованных доменов (5 Read more ›
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First, groceries arrived in 10 minutes. Now, even house help is going instant. India is seeing the rise of a… Read more ›
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Save on today’s top Skullcandy Promo Codes for Crusher Evo headphones, 36% off Crusher ANC 2 noise-canceling headphones, and more with amazing deals. Read more ›
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Refresh your living space for less with these verified Castlery coupons, including free shipping offers and furniture set discounts. Read more ›
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Tax season doesn’t have to be stressful. Score 10% off full service expert on federal tax filings and more exclusive TurboTax discount codes on WIRED. Read more ›
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Shark makes some seriously powerful vacuums, from handheld vacs to steam mops. Don’t miss $100 off, 10% off, and more limited-time coupons from WIRED. Read more ›
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Shop the latest beauty trends and save big using an Ulta promo code for beauty tech, makeup, and more. Read more ›
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Эта статья — про то, что реально изменилось, и в каком порядке я бы рекомендовал это трогать. Основано на диффе между (3.3.0) и (8.6.2). Читать далее Read more ›
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Higher memory chip costs fuel fears of price rise for Switch 2 and cast shadow over console’s success Read more ›
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iPhone maker warns about security risks as new software floods its review process Read more ›
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CEO Mark Moffat says industrial software group will consider London, Europe and New York for IPO Read more ›
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See the Moon phase expected for May 3, 2026 as well as when the next Full Moon is expected. Read more ›
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Tires aren't exciting, but they're an essential part of any motorcycle. Which tire manufacturer does Harley-Davidson turn to for its bikes, though? 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 02:07
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