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Recently, there has been a lot of hullabaloo about the idea that large reasoning models (LRM) are unable to think. This is mostly due to a research article published by Apple, "The Illusion of Thinking" Apple argues that LRMs must not be able to think; instead, they just perform pattern-matching. The evidence they provided is that LRMs with chain-of-thought (CoT) reasoning are unable to carry on the calculation using a predefined algorithm as the problem grows.This is a fundamentally flawed argument. If you
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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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This is the cheapest way into the Kindle Colorsoft lineup yet, with the 16GB variant at its all-time low price of $169.99. Read more ›
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Strategy's STRC has bitcoin a major bitcoin accumulation tool, but analysts warn the risks aren't as clear as the marketing makes them out to be. Read more ›
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Micron CEO Sanjay Mehrotra predicts that self-driving vehicles would require at least 300GB of RAM, meaning increasing demand could drive another memory chip shortage as these cars are essentially AI supercomputers on wheels. Read more ›
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Amazon’s rumored AI-driven smartphone may face an uphill battle, with analysts warning that market conditions and competition make this the worst possible time to launch. Read more ›
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Crimson Desert developer Pearl Abyss has responded to claims its latest game used AI to generate images, admitting "2D visual props were created as part of early-stage iteration using experimental AI generative tools", but claims it had always intended to replace them before release. Read more Read more ›
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Goodyear is often considered the gold standard for tires, but there are a number of brands that outshine Goodyear either in price, performance, or even both. Read more ›
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Эта статья от разработчика Авторизы - SaaS-сервиса аутентификации и авторизации, но давайте отбросим скепсис. Я не для рекламы это пишу, а рассказать, с какими проблемами столкнулся и почему вообще затеял этот стартап. Можно сказать - история возникновения. А еще как через него я, может быть, смогу решить и ваши проблемы. Читать далее Read more ›
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I use my teenagers' slang to bridge the generational gap — sometimes it works, sometimes they beg me to stop. Read more ›
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Tesla and SpaceX CEO, Elon Musk, announced Saturday night that his TeraFab semiconductor project will be built on the Tesla campus in eastern Travis County, Austin, Texas, as a joint venture. Read more ›
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"Google is beginning to replace news headlines in its search results with ones that are AI-generated," reports the Verge: After doing something similar in its Google Discover news feed, it's starting to mess with headlines in the traditional "10 blue links," too. We've found multiple examples where Google replaced headlines we wrote with ones we did not, sometimes changing their meaning in the process. For example, Google reduced our headline... Read more ›
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Elon Musk said Tesla and SpaceX will build a “Terafab” together in Austin that will design and manufacture semiconductors for both companies, though he did not provide a timeline for the project. The factory, located near Tesla’s current Austin headquarters, will eventually produce two series of ... Read more ›
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GrapheneOS, the privacy-focused Android fork, said in a post on X on Friday that it will not comply with emerging laws requiring operating systems to collect user age data at setup. Read more ›
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Февраль 2023 года запомнился инвесторам Alphabet надолго. 8 февраля компания провела презентацию Bard - своего ответа на ChatGPT, который взорвал интернет. Всё выглядело как стандартный технологический анонс: красивые слайды, уверенные спикеры, обещания светлого будущего.А потом случился баг.В рекламном ролике Bard ответил на вопрос о новых открытиях телескопа «Джеймс Уэбб». Он сказал, что телескоп сделал первые снимки экзопланеты за пределами Солнечной системы. Проблема была в том, что это было неправдой.. Read more ›
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![[Перевод] «Цветы для Элджернона» и кривая Claude Code: путеводитель по эмоциональному циклу ИИ-зависимости](https://times42.com/media/2/9/0/12161290_640x200.jpg "[Перевод] «Цветы для Элджернона» и кривая Claude Code: путеводитель по эмоциональному циклу ИИ-зависимости")
«Я не знаю, что со мной происходит. Каждый день я становлюсь умнее. Просто жалко, что мне так страшно.»— Чарли Гордон, «Цветы для Элджернона» (1966)Сейчас 1:47 ночи. Никто не просил меня делать эту фичу. Жена легла спать два часа назад. Я не горю дедлайном. Просто... не могу остановиться.Терминал тёплый. Claude отзывчив. Я задаю вопрос — получаю ответ. Описываю фичу — она материализуется. Показываю баг — мы охотимся на него вместе. Цикл... Read more ›
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A security flaw in a smart home device is pretty bad on its own, but it's even worse when someone accidentally finds it and it gives them full control. Read more ›
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India’s $14 Bn software-as-a-service (SaaS) market received a dramatic thrust in the last decade with the emergence of unicorns like… Read more ›
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Resident Evil series executive producer, Jun Takeuchi, has written to Resident Evil players across the world, thanking "all the fans who have supported us along the way since the release of our first game on 22nd March, 1996 - exactly thirty years ago today. Read more Read more ›
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VentureBeat
Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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Recent reports about AI project failure rates have raised uncomfortable questions for organizations investing heavily in AI. Much of the discussion has focused on technical factors like model accuracy and data quality, but after watching dozens of AI initiatives launch, I’ve noticed that the biggest opportunities for improvement are often cultural, not technical.Internal projects that struggle tend to share common issues. For example, engineering teams build models that product managers... Read more ›
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LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure and optimization logic, serving different slices of what users might want to see. Engineers at the company spent the last year tearing that apart and replacing it with a single LLM-based system. The result, LinkedIn says, is a feed that... Read more ›
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Presented by AudioEyeWhile most organizations recognize the importance of accessibility from a theoretical angle, a stark gap exists between that awareness and actual execution. Companies can't just give a nod to accessibility -- and it can't just be a nice-to-have. The chasm between knowing and doing is not only exposing businesses to significant legal risk, it's also costing them actual business and growth opportunities. According to AudioEye’s newly released 2026... Read more ›
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For more than two decades, digital businesses have relied on a simple assumption: When someone interacts with a website, that activity reflects a human making a conscious choice. Clicks are treated as signals of interest. Time on page is assumed to indicate engagement. Movement through a funnel is interpreted as intent. Entire growth strategies, marketing budgets, and product decisions have been built on this premise.Today, that assumption is quietly beginning... Read more ›
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LinkedIn's feed reaches more than 1.3 billion members — and the architecture behind it hadn't kept pace. The system had accumulated five separate retrieval pipelines, each with its own infrastructure and optimization logic, serving different slices of what users might want to see. Engineers at the company spent the last year tearing that apart and replacing it with a single LLM-based system. The result, LinkedIn says, is a feed that... Read more ›
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Jensen Huang walked onto the GTC stage Monday wearing his trademark leather jacket and carrying, as it turned out, the blueprints for a new kind of monopoly.The Nvidia CEO unveiled the Agent Toolkit, an open-source platform for building autonomous AI agents, and then rattled off the names of the companies that will use it: Adobe, Salesforce, SAP, ServiceNow, Siemens, CrowdStrike, Atlassian, Cadence, Synopsys, IQVIA, Palantir, Box, Cohesity, Dassault Systèmes, Red... Read more ›
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An attacker embeds a single instruction inside a forwarded email. An OpenClaw agent summarizes that email as part of a normal task. The hidden instruction tells the agent to forward credentials to an external endpoint. The agent complies — through a sanctioned API call, using its own OAuth tokens. The firewall logs HTTP 200. EDR records a normal process. No signature fires. Nothing went wrong by any definition your security... Read more ›
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Chinese AI startup Z.ai, known for its powerful, open source GLM family of large language models (LLMs), has introduced GLM-5-Turbo, a new, proprietary variant of its open source GLM-5 model aimed at agent-driven workflows, with the company positioning it as a faster model tuned for OpenClaw-style tasks such as tool use, long-chain execution and persistent automation. It's available now through Z.ai's application programming interface (API) on third-party provider OpenRouter with... Read more ›
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Nvidia on Monday took the wraps off Vera Rubin, a sweeping new computing platform built from seven chips now in full production — and backed by an extraordinary lineup of customers that includes Anthropic, OpenAI, Meta and Mistral AI, along with every major cloud provider.The message to the AI industry, and to investors, was unmistakable: Nvidia is not slowing down. The Vera Rubin platform claims up to 10x more inference... Read more ›
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22.03.2026 12:17
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