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For three years, Microsoft's artificial intelligence story has been inseparable from OpenAI. The partnership — cemented by a cumulative investment exceeding $13 billion — gave Microsoft early access to the most advanced AI models on the planet, catapulting its Copilot products into the enterprise mainstream and adding hundreds of billions of dollars to its market capitalization. To the outside world, Microsoft's AI strategy was OpenAI.Mustafa Suleyman wants to change that narrative.In an exclusive sit-down.
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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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‘We want to make bookkeeping less painful’: How Visma and its AI portfolio are reshaping accounting Read more ›
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The prediction market is launching a new category of bets linked to flight cancellations at US airports. Read more ›
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Imagine a world where sentient superintelligent AI is imminent. This is an AI which has all the cognitive abilities of an adult human, and greatly exceeds human level in most of them. It is one of the most important and philosophically intriguing concepts facing humanity today, and yet, it is barely discussed outside scientists and ... Read more ›
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A 2019 PLOS ONE study of 40 men in Nova Scotia found that the diversity of bacteria in the colon correlated with total sleep time and sleep efficiency — opening a line of research that now argues afternoon fatigue may be less about the pillow than the plate. Read more ›
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Among Democratic voters, Israel’s reputation is in tatters. Polls show Democratic voters have dramatically unfavorable views of Israel. Three incumbent Democrats who’ve supported Israel lost primaries in recent weeks; pro-Israel groups are spending millions of dollars to try to defeat high-profile candidates in other races. And there’s been dwindling Democratic support in Congress for weapons […] Read more ›
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BC startup sees room to facilitate Canada’s major infrastructure projects push. Read more ›
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Интеллектуальные агенты плотно вошли в нашу жизнь и работу. Но с ними есть проблема: до сих пор нет единого понимания, кто или, вернее, что имеется в виду под этим термином. Между тем вопрос не праздный — если понятие вошло в нормативные акты, значит, нужно понимать, какие системы оно охватывает, чем они отличаются от просто «агентов» или других ИИ-решений и где вообще проходят границы регулирования.Ведущий специалист Отдел исследований и разработки АО... Read more ›
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A CRT emulation project has implemented percussive maintenance support. Just hit it for a chance to improve the picture. Read more ›
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We've got an exclusive first look at the new Infinix Hot 70 Pro for you guys, plus an unboxing. Let's get to it. The phone ships with a packed box. You get a 45W charger, a USB-A to USB-C cable, and a nice case with a pretty accented outline. Unboxing the Infinix Hot 70 Pro Ours is the Mirage Green model, which has a grippy vegan leather finish on the... Read more ›
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I’m sick of “opt-out” toggles for automatically enabled generative AI features. It’s past time to make “opt in” the default setting for sensitive features. Read more ›
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В принципе, давно известно, что транзакции в криптовалюте можно отследить. Но обычно мы не заморачиваемся разбором того, как это работает и какие инструменты для этого нужны. Мы просто ими пользуемся. Сразу оговорюсь, что речь тут не о USDT, который отслеживается по дефолту. Речь о классике блокчейна: BTC, ETH, LTC...Скажем так, паспортные данные и домашний адрес владельца при использовании методов OSINT в первом приближении вы вряд ли получите. Но понять как... Read more ›
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The McIntosh MX124 is a very flexible AV processor with 17 audio channels and seven 8K HDMI inputs Read more ›
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FromSoftware has announced the dates for The Duskbloods' closed network test happening next month. Read more ›
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VentureBeat
Presented by SAPGenerating code with AI is fast, but getting that code to run reliably inside a large enterprise, integrated with live systems, governed for compliance, and maintainable over years requires foundational work that most organizations underestimate. While 81% of all organizations have a detailed strategy, only 12–16% reach AI‑driven execution, says SAP's Michael Ameling, CPO of SAP Business Technology Platform, and the reasons rarely come down to the quality... Read more ›
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A team routing queries across a coding specialist, a logic specialist, and a generalist model assumes each will cover the others' blind spots. A new study evaluating 67 frontier models from 21 providers shows that assumption is mathematically flawed — and the flaw has a name: the co-failure ceiling.The assumption works like this: as long as two models don't usually fail on the exact same prompts, combining them is supposed... Read more ›
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Share one API key across five AI agents, and a single compromised agent inherits the reach of all five. The attacker immediately benefits from the accumulated permissions of every workflow that the key touches. The forensic trail goes cold at the credential level because five agents on one account leave no record of which agent did what.Sixty-nine percent of enterprises run agents with credential sharing somewhere in their deployments, according... Read more ›
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The vast majority of business data is tabular — living in data warehouses, CRMs, and financial ledgers — yet building a reliable model from it still means training a new one from scratch for every dataset, then maintaining hyperparameter tuning loops, feature engineering, and retraining pipelines to fight data drift. Google Research is proposing a way around that: a new foundation model called TabFM that treats tabular prediction as an... Read more ›
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Enterprise AI teams are giving agents more freedom at the same moment their confidence in automated testing is collapsing.Half of enterprises have deployed an AI agent or LLM feature that passed internal evaluations and yet still caused a customer-facing failure — one in four more than once — according to the June 2026 VB Pulse survey of 157 qualified enterprise respondents at companies with 100 or more employees.The sample is... Read more ›
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Enterprise companies are running AI agents ahead of the controls needed to manage them — and they deployed that way knowingly. That is the central finding from VentureBeat Research's June survey of 573 technical leaders at companies with 100 or more employees, fielded across five parallel surveys of the agentic stack. Enterprises are now retrofitting to catch up with their own standards, and they are budgeting for it: Roughly six... Read more ›
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OpenAI on Thursday launched ChatGPT Work, a new AI agent embedded inside its flagship chatbot that aims to transform ChatGPT from a question-and-answer tool into an autonomous work platform capable of executing complex, multi-step tasks across users' email, calendars, code repositories, and messaging apps.The product is powered by OpenAI's latest flagship model, GPT-5.6, and is designed to go far beyond generating text. ChatGPT Work can gather context from connected apps,... Read more ›
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An enterprise AI agent answers with total confidence, but the number is wrong. Nobody catches it until someone traces it back to a stale metric definition or a document the retrieval system never pulled. The model did not fail. The context it was given did.In the past six months, 57% of enterprises traced a confident but wrong AI agent answer to missing or inconsistent business context, and 31% said it... Read more ›
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Slopsquatting represents an emerging supply chain threat made possible by AI hallucinations. As developers increasingly rely on AI coding assistants, they unknowingly grant cybercriminals access to their software from day one. Understanding what slopsquatting isSlopsquatting is a new type of supply chain attack that uses large language model (LLM) hallucinations to inject malicious code into development workflows. The term combines "AI slop" and "typosquatting," a deceptive practice where attackers register Read more ›
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DeepSeek's recent decision to drastically cut pricing on its V4-Pro model by 75% should have been unequivocally good news for enterprise AI vendors and developers. Instead, many are discovering that cheaper models don’t automatically translate into healthier margins.The reason is simple: While inference costs plummet, agent systems are voraciously consuming tokens faster than prices are declining. For the last 2 decades, software economics was dictated by the same rule. Infra... Read more ›
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16.07.2026 06:13
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