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For AI systems to keep improving in knowledge work, they need either a reliable mechanism for autonomous self-improvement or human evaluators capable of catching errors and generating high-quality feedback. The industry has invested enormously in the first. It's giving almost no thought to what's happening to the second.I’d argue that we need to treat the human evaluation problem with just as much rigor and investment as we put into building the model capabilities themselves. New grad hiring at major tech c
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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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Omio Group, the Berlin-based multimodal travel scale-up, has today announced it has entered into an agreement to acquire Rail Europe, a French rail distribution platform founded over 90 years ago. Upon completion, Rail Europe will become part of Omio Group, joining Omio’s B2C booking platform, its B2B distribution business, and its travel discovery brand, Rome2Rio. ... Read more ›
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Profit-taking after bitcoin hit a $65,500 monthly high combined with fresh Iranian strikes on U.S. bases sent crypto lower, with bears leading price action across most tokens. Read more ›
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Scientists synchronize 105,000 nano-oscillators in just 45 nanoseconds — paving way for highly efficient and fast alternative to transistors Read more ›
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Anthropic turned Menlo Ventures' $1 billion investment into roughly $14 billion. But finding the next breakout AI startup will only get harder. Read more ›
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Pärnu-based cybersecurity company Patchstack has partnered with Vilnius-based AI-powered hosting provider Hostinger to integrate continuous open-source vulnerability management into Hostinger’s Node.js hosting platform. The integration automatically scans application dependencies for newly disclosed security vulnerabilities, alerts developers when their projects are affected, and provides remediation guidance without requiring additional configuration. As AI-powered coding tools drive the […] Read more ›
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Google's intriguing Pixel Glow feature has finally been shown off, alongside a golden finish for an upcoming phone. Read more ›
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Алготрейдинг постепенно вырастает из эпохи «пересечений скользящих средних». Классические индикаторы вроде RSI, MACD и EMA — это производные от цены, и они почти всегда запаздывают. Эти сигналы видят все: их обрабатывают маркет-мейкеры, HFT-фонды и десятки тысяч розничных ботов. Преимущество, которое размазано на всех, перестаёт быть преимуществом.Гораздо интереснее выглядят системы, работающие с самой структурой рынка: объёмом, ликвидностью, зонами принятия и отвержения цены. Именно к этому классу относитс Read more ›
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I searched everywhere I could to find the biggest savings on laptops for work, whether you're in the office or WFH. Read more ›
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![[Перевод] Запросы к графам свойств SQL/PGQ в PostgreSQL 19](https://times42.com/media/8/5/2/12733852_640x200.jpg "[Перевод] Запросы к графам свойств SQL/PGQ в PostgreSQL 19")
PostgreSQL 19 добавляет SQL/PGQ (Property Graph Queries, запросы к графам свойств) на основе стандарта SQL:2023. Графовые структуры можно определить поверх уже существующих реляционных таблиц и запрашивать их синтаксисом сопоставления с образцом. Не нужны новый движок хранения, расширения или миграция данных. Читать далее Read more ›
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В «Ростелекоме», как в любом крупном корпоративном контуре, SAST-поток исчисляется тысячами срабатываний. Ручной триаж перестает быть инженерной работой и становится конвейером. Привет Хабр, меня зовут Юрий Туманов, я AppSec-инженер в блоке ИБ «Ростелекома». Хочу рассказать о том, как я выполнял инференс на локальных моделях, в полной цифровой изоляции от внешнего мира. Все числа получены на конкретном корпусе, модели и наборе промптов; внутренний контур, названия систем, пути и значения секретов обезличе Read more ›
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Договоры сопровождают все ключевые процессы компании. Каждая сделка, партнерство, закупка или наём сотрудника начинаются с подписания документа. Но когда в компании ежемесячно проходят десятки и сотни бумаг, ручное управление замедляет работу отдела. Юристы тратят часы на рутинную проверку вместо работы с более важными задачами, возникают риски потерять версию, сорвать сроки согласования, пропустить критичные условия.Конкурентоспособность бизнеса напрямую зависит от скорости принятия решений. Медлить в рабо Read more ›
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A leaked Lenovo AI Mouse reveals that Google's upcoming laptop platform will launch with dedicated peripherals. Read more ›
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Как часто нам приходится читать в бюллетенях безопасности «Уязвимость... позволяющая нарушителю выполнить произвольный код с помощью специально сформированного запроса». Но что на самом деле скрывается за этой фразой? Что это за специальные запросы и как наша программа может выполнять чужой код, если мы досконально знаем в ней каждую строчку и каждую библиотеку? И почему Apple выстроила многоуровневую аппаратную защиту и платит до двух миллионов долларов за одну найденную уязвимость, но... 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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