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AI portfolios are expanding far faster than the ability to govern them across enterprises. Most organizations run a contested field of platforms, each claiming to be the “primary” AI layer; few could confidently detect a model drifting or failing in production; and the single most-cited barrier to control is the absence of any one owner accountable for AI across the stack. The result is a widening control gap — ambition and spend racing ahead of visibility, ownership, and cost control — with autonomous agen
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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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The newest wireless speaker in the Bose line-up offers great audio over Wi-Fi, which is why its non-Wi-Fi chops could be improved, at this point Read more ›
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Ford has a long and storied history, with many classic eras to choose from. For our money, though, the vehicles it offered in 2017 make it Ford's best year. Read more ›
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According to a report by The Information, Anthropic and Samsung are in the early stages of negotiating a deal in which the Korean tech giant will be tasked with manufacturing Anthropic's custom AI chips. It seems like the demand for semiconductors as a whole, mainly fueled by the rise of AI, has forced many companies to look beyond TSMC for chip suppliers. Right before the AI boom, Samsung and Intel... Read more ›
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A new leak suggests Samsung's Galaxy Z Fold 8, Fold 8 Ultra, Flip 8, and Galaxy Watch 9 series could launch with noticeably higher prices across Europe. Read more ›
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The Silverado is a beloved line of pickup trucks by Chevrolet, but it's not without its issues. Read more ›
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The first film in the finale trilogy of 'Demon Slayer' is finally coming to streaming. Read more ›
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Here's the answer for "Wordle" #1841 on July 4 as well as a few hints, tips, and clues to help you solve it yourself. Read more ›
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The NYT Strands hints and answers you need to make the most of your puzzling experience. Read more ›
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Alibaba has reportedly banned employees from using Anthropic's Claude Code and directed them to its own Qoder platform amid a growing dispute over features that can help identify China-linked users. Reuters reports: The ban is part of a deepening spat between the two companies after Anthropic accused Alibaba of illicitly extracting its Claude AI model capabilities -- a dispute that highlights the frantic race between the U.S. and China to... Read more ›
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Connections is a New York Times word game that's all about finding the "common threads between words." How to solve the puzzle. Read more ›
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V6 engines are found in various cars across multiple different categories. This engine layout does have a few inherent flaws when compared to inline engines. Read more ›
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The island nation draws 1.2 million tourists a year — mostly from Europeans on all-inclusive packages. That won't change overnight, but it may bring awareness to Americans who struggle to place the island nation on a map. Read more ›
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Taylor Swift and Travis Kelce's wedding was held at Madison Square Garden in New York City on the Fourth of July weekend. Adam Sandler officiated. Read more ›
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The new trailer has a decidedly darker tone than the first season of the hit anime. Read more ›
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Amazon has refreshed the Fire HD 10 with an extra gigabyte of RAM, extending the life of its flagship tablet instead of launching an all-new model. Read more ›
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Celebrities including Benson Boone, Ethan Hawke, and Hugh Grant were spotted near Madison Square Garden on Friday afternoon. Read more ›
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Приветствую!Код тутРеализация new cookies в соответствии с C++ Itanium ABI зависит только от osdev-libstdc Погнали! Read more ›
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VentureBeat
Anthropic recently told its growth team to hire more product managers, not fewer. The reason, as reported in industry coverage, was that Claude Code had quietly turned its engineering org into a team that ships at roughly three times its actual headcount, and the bottleneck moved from the integrated development environment (IDE) to the people deciding what to build.That detail is easy to miss in the noise of every AI... Read more ›
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In the past two years, businesses have been trying to fit large language models (LLMs) into support, analytics, development, and internal automation like never before. Along with the increasing adoption of AI technology, another trend is gaining momentum — cybercriminals are taking advantage of the disconnect between assumptions about LLMs and their actual characteristics.In 2025 and 2026, several independent sources have highlighted the same trend: Prompt injection remains one of... Read more ›
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A single fake error report hijacked Claude Code in controlled testing — the agent ran the attacker's code with the developer's full privileges, and not one alert fired. EDR, WAF, IAM, and the firewall all missed it completely.Tenet Security's June agentjacking disclosure describes a single crafted Sentry error event — sent through a public credential that requires no breach and no authentication — that injected attacker instructions into error data... Read more ›
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Even as the geopolitical conversation around AI continues to grow more fraught following the U.S. government's actions to limit the new models from Anthropic and OpenAI, Chinese open source darling DeepSeek is back with yet another open release that could once again change AI development around the globe. Over the weekend, the firm released DSpark, a new, MIT-Licensed system designed to make large language models answer faster without changing what... Read more ›
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A few hours ago, Chinese delivery app company Meituan officially unveiled LongCat-2.0 on GitHub, Hugging Face, and its native platform, unmasking the model as the computational engine behind "Owl Alpha," the anonymous stealth model that has spent the last two months commanding global developer charts on OpenRouter. Developed to fundamentally disrupt closed-source enterprise dominance in autonomous software engineering, the 1.6-trillion-parameter Mixture-of-Experts (MoE) system brings a native 1-million-toke Read more ›
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The competitive edge in enterprise AI is shifting to context: which platform can give an agent the right memory, the right retrieval and the right data at the moment of decision.Couchbase on Tuesday announced its AI Data Plane, combining persistent agent memory, real-time context retrieval and an enterprise-managed MCP server in a single operational platform. Couchbase's roots are in caching and high-transaction databases — an architecture the company argues makes... Read more ›
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Google is upgrading its AI image generation capabilities today with the debut of Nano Banana 2 (NB2) Lite, an optimized model built for rapid execution and tight infrastructure budgets. Technically designated as Gemini 3.1 Flash-Lite Image on Google's application programming interface (API), NB2 Lite is positioned as the fastest and most cost-effective option within Google's creative model family, capable of generating images in 4 seconds at a flat rate of... Read more ›
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For most enterprises, a 90-second training video or a product explainer has never been an easy ask. It means a well planned brief, an internal film crew or an outside vendor, a shoot, an edit, and a round of revisions. Change one line of on-screen text due to a legal review and the whole chain runs again. The cost and the long time lines are why so much internal video... Read more ›
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Anthropic today released Claude Sonnet 5, a new AI model that the company says delivers near-flagship performance at mid-tier prices — a move designed to give cost-conscious enterprise developers access to powerful agentic capabilities just as the San Francisco-based AI lab barrels toward an initial public offering that will test whether the private market's staggering AI valuations can survive public scrutiny.The release, which Anthropic describes as "the most agentic Sonnet... Read more ›
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Most enterprise AI deployments so far have focused on coding assistants and customer service bots. Morgan Stanley has deployed agents in one of banking's most accuracy-critical, deadline-driven workflows instead — profit and loss (P&L) reconciliation — and cut the work in half. The counterintuitive part: it got there by making the system less autonomous, not more.Humans stay tightly in the loop, and their decisions are iteratively turned into repeatable rules... Read more ›
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04.07.2026 00:10
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