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When Intuit shipped AI agents to 3 million customers, 85% came back. The reason, according to the company's EVP and GM: combining AI with human expertise turned out to matter more than anyone expected — not less.Marianna Tessel, the financial software company’s EVP and GM, calls this AI-HI combination a “massive ask” from its customers, noting that it provides another level of confidence and trust. “One of the things we learned that has been fascinating is really the combination of human intelligence and ar
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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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Rivian's AI-powered voice assistant is rolling out today to the company's vehicle fleet. The assistant will be available through a software update to all compatible Rivian Gen 1 and Gen 2 vehicle owners who subscribe to the company's Connect Plus cellular service, which costs $15 a month or $150 a year, or are in an […] Read more ›
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The Freo Z10 Turbo comes with a self-cleaning, self-emptying dock for less than $1,000. Read more ›
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The final moments of the film were crafted later in the process to leave audiences with a few specific thoughts. Read more ›
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JBL is refreshing its touchscreen-equipped earbuds with the new JBL Live 4 series. Read more ›
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Before The Cheesecake Factory had a 250-item menu, it was a family bakery. David Overton opened the first restaurant in 1978 to sell his mom's cheesecakes. Read more ›
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Bell, BDC, EDC, and InBC back BC quantum firm’s continued push towards commercialization. Read more ›
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Before you purchase your next TV or monitor, find out what the term UHD actually means - and why it's often confused with other tech buzzwords. Read more ›
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![Инженерия качества: Как перестать надеяться на удачу и начать измерять своих ИИ-агентов [Часть 2]](https://times42.com/media/8/5/1/12416851_640x200.jpg "Инженерия качества: Как перестать надеяться на удачу и начать измерять своих ИИ-агентов [Часть 2]")
Продолжаем рассмотрение, того как правильно оценивать качество ИИ систем, в данной части поговорим о двух крайне полезных метриках: одна универсальный способ оценить, что LLM отвечает правильно, вторая для задачи суммаризации текста. На примере библиотеки RAGAS, с разбором того, как эти метрики работают изнутри. Читать далее Read more ›
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Краткий туториал по выбору кондиционера (сплит, мульти‑сплит). Для дома и офиса. Чтобы не было мучительно больно в самую жару. Или не мёрзнуть в межсезонье. Как выбрать кондиционер. Текст под катом Read more ›
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The elimination of the SAVE student-loan repayment plan could lead more borrowers into default, the New York Federal Reserve said. Read more ›
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Chairman Michael Selig says the agency has already taken several states to court to prove that sports contracts aren't just betting but that they're derivatives. Read more ›
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Discord has been under fire over the last few months over the age verification controversy, but that may simmer down after its latest collaboration. Read more ›
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The Aurzen Roku TV Smart Projector is now available at an all-time low price of $169.98, perfect for movie nights. Read more ›
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The more interactions an AI model has, the less reliable it becomes, experts find, as even the best only scored 80.9% – and the worst scoring just 10.0%. Read more ›
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Here’s what you need to know, from why the cruise ship outbreak won’t spark the next pandemic to how hantavirus spreads. Read more ›
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I dined at Papi Steak, one of Miami's flashiest steakhouses. Beyond its over-the-top theatrics, the food was genuinely good. Read more ›
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While some experts point to $90,000 as the next explosive level, others caution that this new "early bull" signal isn't a guaranteed crystal ball. Read more ›
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VentureBeat
Just two months ago, researchers at the Data Intelligence Lab at the University of Hong Kong introduced CLI-Anything, a new state-of-the-art tool that analyzes any repo’s source code and generates a structured command line interface (CLI) that AI coding agents can operate with a single command. Claude Code, Codex, OpenClaw, Cursor, and GitHub Copilot CLI are all supported, and since its launch in March, CLI‑Anything has climbed to more than... Read more ›
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A little-known Miami-based startup called Subquadratic emerged from stealth on Tuesday with a sweeping claim: that it has built the first large language model to fully escape the mathematical constraint that has defined — and limited — every major AI system since 2017.The company claims its first model, SubQ 1M-Preview, is the first LLM built on a fully subquadratic architecture — one where compute grows linearly with context length. If... Read more ›
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OpenAI updated the default model for ChatGPT to its new GPT-5.5 Instant, along with a new memory capability that finally shows which context shaped responses — at least some of them. This limitation signals that models are starting to create a second, incomplete memory observability layer that could conflict with existing audit systems and agent logs. GPT-5.5 Instant replaces GPT-5.3 Instant as the default ChatGPT model and is a version... Read more ›
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Presented by NutanixAcross industries, organizations are focused on how to move from AI pilots, proofs of concept, and cloud-based experimentation to deploying it at scale — across real workloads, for real users, in real business environments. VentureBeat spoke with Tarkan Maner, president and chief commercial officer at Nutanix, and Thomas Cornely, EVP of product management, about what that transition demands, and what it will take to get it right.“AI in... Read more ›
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There's an app for nearly every imaginable user and use case these days, but one thing they all have in common is that they're centered around one device: the smartphone.That changes today as Hugging Face, the 10-year-old New York City startup best known for being the go-to place online to host and use cutting-edge, open-source AI models, agents and applications, launches a new App Store for Reachy Mini, its low-cost... Read more ›
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In a world where a viral TikTok video can cause a brand to trend globally in mere hours, the traditional market research cycle — often spanning 12 weeks — is becoming a liability. The lag between a survey question and the answers from a wide (or targeted) pool of respondents has become a primary bottleneck for Fortune 500 decision-makers who are forced to navigate volatile geopolitical and economic shifts with... Read more ›
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Picture this scenario: An Anthropic Skill scanner runs a full analysis of a Skill pulled from ClawHub or skills.sh. Its markdown instructions are clean, and no prompt injection is detected. No shell commands are hiding in the SKILL.md. Green across the board.The scanner never looked at the .test.ts file sitting one directory over. It didn’t need to. Test files aren’t part of the agent execution surface, so no publicly documented... Read more ›
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Presented by Zeta GlobalThe gap between what AI promises and what it delivers is not subtle. The same model can produce precise, useful output in one system and generic, irrelevant results in another. The issue is not the model. It's the context.Most enterprise systems were not built for how AI operates. Data is scattered across tools. Identity is inconsistent. Signals arrive late or not at all. Systems record events but... Read more ›
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Even as leading AI providers like OpenAI and Anthropic battle over the compute to train and release ever larger, more powerful models, other labs are going in a different direction — pursuing the development of smaller, more efficient models and often open sourcing them. The latest worth paying attention to comes from the lesser-known Palo Alto startup Zyphra, which this week released its new reasoning, mixture-of-experts (MoE) language model, ZAYA1-8B,... Read more ›
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Every LangChain pipeline your team hardcodes starts breaking the moment the query distribution shifts — and it always shifts. That bottleneck is what Sakana AI set out to eliminate.Researchers at Sakana AI have introduced the "RL Conductor," a small language model trained via reinforcement learning to automatically orchestrate a diverse pool of worker LLMs. Conductor dynamically analyzes inputs, distributes labor among workers, and coordinates among agents.This automated coordination achieves state-of-the-a Read more ›
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12.05.2026 12:08
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