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The scaffolding layer that developers once needed to ship LLM applications — indexing layers, query engines, retrieval pipelines, carefully orchestrated agent loops — is collapsing. And according to Jerry Liu, co-founder and CEO of LlamaIndex, that's not a problem. It's the point.“As a result, there's less of a need for frameworks to actually help users compose these deterministic workflows in a light and shallow manner,” Jerry Liu, co-founder and CEO of LlamaIndex, explains in a new VentureBeat Beyond the.
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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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Эволюция требует не только мутаций и отбора, но и проходимого пространства возможностей. Почему земная жизнь оказалась не хрупкой точкой, а богатым островом? Читать далее Read more ›
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This post is brought to you in paid partnership with QuickBooks The Intuit Enterprise Suite (IES) interface doesn’t dramatically differ from QuickBooks Online. Core navigation, workflows, and accounting functions remain familiar. The main difference is added functionality for managing multiple entities, user permissions, and consolidated reporting. This means most users can adapt quickly while gaining […] Read more ›
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В 2026 году вакансий, связанных с ИИ, большими языковыми моделями и агентами, стало заметно больше и в России, и за ее пределами. Технологические компании, банки и даже обычный enterprise поняли, куда движется индустрия, и начали срочно внедрять ИИ в продукты и внутренние процессы.Если открыть hh.ru, LinkedIn или Telegram-каналы с вакансиями, легко увидеть набор ролей, которые постоянно пересекаются по описанию и требованиям. Читать далее Read more ›
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A Chinese electric cargo ship with 19 megawatt hours of batteries is completing trials, combining large-scale energy storage and automation. Read more ›
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The Musk v. Altman trial is underway, and that means exhibits, or the evidence to be presented in court, are being revealed piece by piece. So far, email exchanges, photos, and corporate documents are circulating from the earliest days of OpenAI - and from before the AI lab even had a name. Some high-level takeaways: […] Read more ›
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Lettuce Grow's Farmstand is sure to impress, and it's 20 percent off for Mother's Day. Read more ›
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At the beginning of every month, AnTuTu publishes charts showing us which devices had the best average score the previous month. So now these are available for April. Keep in mind that these are averages, not high scores, and that only benchmarks completed in China count. Without further ado, let's start with the flagship realm, where the iQOO 15 Ultra dominates, followed by the iQOO 15 and the RedMagic 11... Read more ›
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Housemarque's Gregory Louden and Khalil Osaimi dig into the narrative inspirations and ethos of the studio's new game, 'Saros.' Read more ›
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ZipNada shares a report from ZDNet: Given the dour headlines as of late concerning the diminishing amounts of entry-level software development jobs, coupled with predictions of applications entirely AI-generated, one could be forgiven for assuming that software developers may soon be an endangered species. However, the data tells a different story. James Bessen, professor at Boston University, has been pushing back for some time against the talk of AI and... Read more ›
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Когда обсуждают стоимость внедрения генеративного ИИ, разговор часто сводится к цене за токен или цене за арендуемый GPU. Это удобно — одно число. Но в реальном продакшене такая оценка почти всегда обманчива.Стоимость GenAI-системы — это не только сколько стоит вызвать модель. Это инфраструктура, эксплуатация, безопасность, наблюдаемость, разработка, интеграции, поддержка пользователей и постоянные изменения вокруг моделей. Именно поэтому «мы поднимем open-source модель сами, будет дешевле» часто оказываетс Read more ›
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Дисклеймер:Вся информация, представленная в статье, получена из открытых источников исключительно в исследовательских целях. Мы не нарушали закон и не пытались получить несанкционированный доступ к каким-либо системам. Сайт «Миротворец»* признан экстремистским и запрещён на территории Российской Федерации. Прямые ссылки на него не приводятся в соответствии с законодательством РФ. Рекомендуем читателям соблюдать осторожность и не использовать найденные скрипты для незаконных действий. Читать далее Read more ›
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At WIRED Health, pioneering Alzheimer's researcher John Hardy outlined the stakes—and next steps—of where treatment is headed next. Read more ›
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Google's stock surge shows compute, not just AI models, is the real advantage, validating Sam Altman's "compute is destiny" view of the future. Read more ›
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Founders Fund has raised $6 billion for its fourth growth-stage fund, according to a person with knowledge of the efforts. The fundraise comes less than a year after the firm raised its third growth fund, of $4.6 billion. Some $4.5 billion of the new fund comes from the firm’s limited partners, ... Read more ›
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Juno Industries has secured $12 million in commitments to list on TSVX in reverse takeover deal. Read more ›
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VentureBeat
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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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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01.05.2026 15:46
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