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Presented by NutanixAs enterprises move from AI experimentation into production deployment, the primary cost driver has shifted away from foundation model training and toward the infrastructure required to run thousands of concurrent inference workloads at scale, with agentic AI as the accelerant. Where early enterprise AI projects involved a handful of large, scheduled training jobs, production agentic environments require continuous support for short-lived, unpredictable requests that consume GPU, network
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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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A new report shows which states stand to lose the most when overseas visitors pull back on U.S. travel. Read more ›
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T-Mobile has updated its credit card offer, making it easier to get the $50 one-time credit without going to the store. Read more ›
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Two defunct social media platforms are getting revived this week: Vine and Friendster. But the new versions each have a twist. Read more ›
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The world's most resource-intense technology can finally replicate an image you could make on computers in 1985. Read more ›
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The new film is the latest adaptation of George Orwell's novel. Based on the critiques coming from right-wing influencers, it seems few of them fully grasp the book's message. Read more ›
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In a federal courtroom in California on Thursday, Elon Musk testified that his own AI startup, xAI, has used OpenAI's models to improve its own. The matter at question is model distillation, a common industry practice by which one larger AI model acts as a "teacher" of sorts to pass on knowledge to a smaller […] Read more ›
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April was anything but ordinary for gadget releases. We checked out some weird (but fun) stuff, like Anker's awesome UV printer, HP's PC-in-a-keyboard, the new Steam Controller, and more. Read more ›
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Shares of Meta Platforms dropped 8% on Thursday, as investors responded to the social media giant’s disclosure that it was raising its 2026 capital expenditure projection. Meanwhile Meta began efforts to raise another $25 billion in bonds, Bloomberg reported. Meta’s bond sale follows a $30 ... Read more ›
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Prosecutors could soon get more time to pursue fraud charges related to pandemic bailouts for restaurants and music businesses. Read more ›
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Это статья от автора библиотеки, поэтому нейтральным разбор не будет. Но это и не рассказ про конкретный проект — а разбор задач, на которых, на мой взгляд, Paging 3 начинает буксовать, и того, как Paginator устроен, чтобы эти задачи закрывать. KMP-библиотека пагинации для Android, iOS, JVM и Desktop. Ниже — почему она появилась именно как отдельная библиотека, а не как fork или обёртка над Paging 3. Читать далее Read more ›
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TL;DR: Generative Engine Optimization (GEO) — это новая дисциплина, выросшая из SEO по мере того, как ChatGPT Search, Perplexity и Google AI Overviews начали отвечать на запросы пользователей напрямую, минуя традиционную выдачу. Сайты теряют 20–40% органики, но появляется новый вид трафика — AI-referral. Ключевое отличие GEO от SEO: LLM оптимизируется не под ключевые слова, а под семантическую ясность, авторитет источника и структурную извлекаемость контента. В статье — механика RAG-поиска, конкретные... Read more ›
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Luxury demand continues to power Hyatt through an uneven economy, reinforcing the company’s high-end strategy. Read more ›
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Reuters reports that Charles Lieber, the former Harvard scientist convicted of lying to U.S. authorities about payments and ties to China, is now leading China's state-funded i-BRAIN lab in Shenzhen, where he has access to advanced nanofabrication tools and primate research facilities for brain-computer interface work. From the report: Charles Lieber, 67, is among the world's leading researchers in brain-computer interfaces. The technology has shown promise in treating conditions such... Read more ›
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As Dreame is headed towards an IPO, most likely in the US, aiming to raise tons of money, the company has recently 'diversified' its range of products to make itself more interesting to investors. We say 'diversified' quote-unquote because vaguely talking about things doesn't really count as launching them. Case in point: the smartphones. These were first talked about in China in February, then the company upped the ante by... Read more ›
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When his sixty-three-year-old friend mentioned he hadn't been invited to a barbecue in six months, it revealed a truth about aging that no one discusses: how the childless gradually vanish from social calendars as their peers' lives reorganize entirely around grandchildren. Read more ›
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Joni Ernst invoked Business Insider reporting about Chris Brown's use of a federal grant to urge passage of a bill. Read more ›
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VentureBeat
For several weeks, a growing chorus of developers and AI power users claimed that Anthropic’s flagship models were losing their edge. Users across GitHub, X, and Reddit reported a phenomenon they described as "AI shrinkflation"—a perceived degradation where Claude seemed less capable of sustained reasoning, more prone to hallucinations, and increasingly wasteful with tokens. Critics pointed to a measurable shift in behavior, alleging that the model had moved from a... Read more ›
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Eighty-five percent of enterprises are running AI agent pilots, but only 5% have moved those agents into production. In an exclusive interview at RSA Conference 2026, Cisco President and Chief Product Officer Jeetu Patel said that the gap comes down to one thing: trust — and that closing it separates market dominance from bankruptcy. He also disclosed a mandate that will reshape Cisco's 90,000-person engineering organization.The problem is not rogue... Read more ›
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The whale has resurfaced. DeepSeek, the Chinese AI startup offshoot of High-Flyer Capital Management quantitative analysis firm, became a near-overnight sensation globally in January 2025 with the release of its open source R1 model that matched proprietary U.S. giants.It's been an epoch in AI since then, and while DeepSeek has released several updates to that model and its other V3 series, the international AI and business community has been largely... Read more ›
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During Operation Lunar Peek in November 2024, attackers gained unauthenticated remote admin access — and eventual root — across more than 13,000 exposed Palo Alto Networks management interfaces. Palo Alto Networks scored CVE-2024-0012 at 9.3 and CVE-2024-9474 at 6.9 under CVSS v4.0. NVD scored the same pair 9.8 and 7.2 under CVSS v3.1. Two scoring systems. Two different answers for the same vulnerabilities. The 6.9 fell below patch thresholds. Admin... Read more ›
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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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The most expensive AI failure I have seen in enterprise deployments did not produce an error. No alert fired. No dashboard turned red. The system was fully operational, it was just consistently, confidently wrong. That is the reliability gap. And it is the problem most enterprise AI programs are not built to catch.We have spent the last two years getting very good at evaluating models: benchmarks, accuracy scores, red-team exercises,... Read more ›
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There is a war brewing between AI and consulting. Akin to an armies slow march towards the castle, a new technology is coming to dethrone the expert guessers of Mckinsey, Nielsen, Gartner, Publicis and the rest. Any consulting that involves analyzing people (think all of marketing, research, polling, etc.) will have to reckon with the technology of “synthetic audiences”.Synthetic audiences aim to generate digital versions of people that can then... Read more ›
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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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30.04.2026 14:35
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