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The average Fortune 1000 company has more than 30,000 employees and engineering, sales and marketing teams with hundreds of members. Equally large teams exist in government, science and defense organizations. And yet, research shows that the ideal size for a productive real-time conversation is only about 4 to 7 people.The reason is simple: As groups grow larger, each person has less opportunity to speak and must wait longer to respond, increasing their frustration that their views are not sufficiently cons
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VentureBeat
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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With a solar panel for extra power and a MicroSD card slot for local storage, it's a supremely practical way to protect your home. Read more ›
0 newcommer
There have been some challenges here, but the iPad Mini is a great match for my kids. Read more ›
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A new documentary explores the impact of Esther Wojcicki, celebrated Palo Alto educator and "Godmother of Silicon Valley." Read more ›
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Sunday interviews sound harsher, but in a more demanding hiring market, they can read as accommodation. Read more ›
0 newcommer
Baby boomers Romano and Linda Sims sold their $2 million house to continue their retirement in an RV. Read more ›
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Those who reflexively say "sorry" for everything aren't just being polite—they're often unconsciously replaying a childhood script where they had to manage volatile adults' emotions just to feel safe. Read more ›
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В любой компании, рано или поздно встает вопрос контроля сроков реакции и выполнения тех или иных задач. В статье речь пойдет о желании внедрить SLA (Service Level Agreement) в Redmine, о том как попытка найти и установить готовое решение, обернулось мини исследованием. Читать далее Read more ›
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Вы пишете промпт. Подробно, вдумчиво, с примерами. Деплоите в сервис. Запускаете — и получаете markdown-обёртку вокруг JSON, который вы просили.Ладно, думаете вы, добавим явно: "НЕ добавляй markdown-форматирование". Результат — markdown с извинениями за предыдущий формат. Меняем температуру на ноль — форматирование становится лучше, но содержание скатывается в банальность. Пробуем более сильную и дорогую модель вместо дешёвой — работает, да. Но счёт за API растёт так, что это счастье уже того... Read more ›
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An AI researcher and his husband vibe coded a website that tracks US gas prices. Here are the tricks that turned their bots into tutors. Read more ›
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![[Перевод] Почему ИИ-код создаёт больше проблем, чем решает](https://times42.com/media/4/7/4/12300474_640x200.jpg "[Перевод] Почему ИИ-код создаёт больше проблем, чем решает")
Многие команды сейчас экспериментируют с ИИ. Ставят ИИ-инструменты и удивляются как резво растёт кодовая база. Но счастье длится недолго. Очень быстро выясняется что количество багов растёт с той же, а порой и опережающей скоростью. А аудиты, хоть ИИ и сделал их доступнее, раздувают бэклог на недели вперёд.Типичная история 2026 года. ИИ-революция случилась быстрее, чем мы осознали что произошло и что с этим делать. А главное, как выстраивать процессы разработки по-новому,... Read more ›
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"We track token use, but we use it in the background," Indeed's chief information officer, Anthony Moisant, told Business Insider. Read more ›
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Legendary car designer Carroll Shelby is most associated with Ford, but there's a Shelby vehicle that featured an Oldsmobile engine from General Motors instead. Read more ›
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Ride AI, an autonomous vehicle hype conference, showed an industry that wants to move away from the hype and focus on scaling. Read more ›
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Будущее корпоративных операционных систем и рынка труда на фоне изменения технологического стека искусственного интеллекта и роста значения контекста как драйвера изменений процессов организаций. Читать далее Read more ›
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![[Перевод] Структуры данных на практике. Глава 12: Кучи и очереди с приоритетом](https://times42.com/media/3/5/9/12300359_640x200.jpg "[Перевод] Структуры данных на практике. Глава 12: Кучи и очереди с приоритетом")
«Плохие программисты беспокоятся о коде. Хорошие программисты беспокоятся о структурах данных и их взаимосвязях», — Линус ТорвальдсСпоры о планировщикеНаша команда вела спор о структурах данных. Нам нужен был планировщик задач операционной системы реального времени, способный:Вставлять новые задачи с приоритетом (O(log n))Запрашивать задачу с наибольшим приоритетом (O(1))Удалять задачу с наибольшим приоритетом (O(log n))Кто-то предложил: «Давайте используем отсортированный массив». Но вставка будет занимать Read more ›
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Anwar Ali, a pastor in Kauai, scaled his car rental business on Turo from one vehicle to 213 cars, generating $2.95 million in 2025. Read more ›
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At the invite-only California Peptide Club in a San Francisco mansion, 'not for human consumption' is part of the draw. Read more ›
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VentureBeat
For the last 18 months, the CISO playbook for generative AI has been relatively simple: Control the browser.Security teams tightened cloud access security broker (CASB) policies, blocked or monitored traffic to well-known AI endpoints, and routed usage through sanctioned gateways. The operating model was clear: If sensitive data leaves the network for an external API call, we can observe it, log it, and stop it. But that model is starting... Read more ›
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Data drift happens when the statistical properties of a machine learning (ML) model's input data change over time, eventually rendering its predictions less accurate. Cybersecurity professionals who rely on ML for tasks like malware detection and network threat analysis find that undetected data drift can create vulnerabilities. A model trained on old attack patterns may fail to see today's sophisticated threats. Recognizing the early signs of data drift is the... Read more ›
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Presented by EdgeverveSmart, semi‑autonomous AI agents handling complex, real‑time business work is a compelling vision. But moving from impressive pilots to production‑grade impact requires more than clever prompts or proof‑of‑concept demos. It takes clear goals, data‑driven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one. From pilots to the “operational grey zones”The next wave of value sits in the connective tissue Read more ›
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Presented by EdgeverveSmart, semi‑autonomous AI agents handling complex, real‑time business work is a compelling vision. But moving from impressive pilots to production‑grade impact requires more than clever prompts or proof‑of‑concept demos. It takes clear goals, data‑driven workflows, and an enterprise platform that balances autonomy, governance, observability, and flexibility with hard guardrails from day one. From pilots to the “operational grey zones”The next wave of value sits in the connective tissue Read more ›
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A growing number of developers and AI power users are taking to social media to accuse Anthropic of degrading the performance of Claude Opus 4.6 and Claude Code — intentionally or as an outcome of compute limits — arguing that the company’s flagship coding model feels less capable, less reliable and more wasteful with tokens than it did just weeks ago. The complaints have spread quickly on Github, X and... Read more ›
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Presented by AWSAutonomous agents are compressing software delivery timelines from weeks to days. The enterprises that scale agents safely will be the ones that build using spec-driven development.There’s a moment in every technology shift where the early adopters stop being outliers and start being the baseline. We’re at that moment in software development, and most teams don’t realize it yet.A year ago, vibe coding went viral. Non-developers and junior developers... Read more ›
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The software industry is racing to write code with artificial intelligence. It is struggling, badly, to make sure that code holds up once it ships.A survey of 200 senior site-reliability and DevOps leaders at large enterprises across the United States, United Kingdom, and European Union paints a stark picture of the hidden costs embedded in the AI coding boom. According to Lightrun's 2026 State of AI-Powered Engineering Report, shared exclusively... Read more ›
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Data teams building AI agents keep running into the same failure mode. Questions that require joining structured data with unstructured content, sales figures alongside customer reviews or citation counts alongside academic papers, break single-turn RAG systems. New research from Databricks puts a number on that failure gap. The company's AI research team tested a multi-step agentic approach against state-of-the-art single-turn RAG baselines across nine enterprise knowledge tasks and reported gains... Read more ›
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Microsoft today launched MAI-Image-2-Efficient, a lower-cost, higher-speed variant of its flagship text-to-image model that the company says delivers production-ready quality at nearly half the price. The release, available immediately in Microsoft Foundry and MAI Playground with no waitlist, marks the fastest turnaround yet from Microsoft's in-house AI superintelligence team — and the clearest signal that Redmond is serious about building a self-sufficient AI stack that doesn't depend on OpenAI.The new... Read more ›
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A viral post on X from veteran programmer and former Google engineer Steve Yegge set off a rhetorical firestorm this week, drawing sharp public rebuttals from some of Google’s most prominent AI leaders and reopening a sensitive question for the company: how deeply are its own engineers really using the latest generation of AI coding tools? The debate began after Yegge summarized what he said was the view of his... Read more ›
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19.04.2026 05:18
Last update: 05:10 EDT.
News rating updated: 12:10.
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