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Perplexity, the AI-powered search company valued at $20 billion, on Wednesday launched what it calls the most ambitious product in its three-year history: a multi-model agent orchestration platform called Computer that coordinates 19 different AI models to complete complex, long-running workflows entirely in the background.The product, currently available only to Perplexity Max subscribers at $200 per month, is the company's clearest articulation yet of a thesis it has been refining for more than a year: th
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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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GSMA estimates Europe's Huawei removal could cost €40 billion, greatly exceeding Commission projections amid ongoing disagreement over replacement expenses. Read more ›
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Один из интереснейших «побочных продуктов» моего исследования «Эмоциональная картина личности» – проявление феномена, который создаёт типичную картину внутреннего конфликта.Как выглядит этот феномен.— У меня выгорание, ничего не могу начать делать, ничего не могу закончить, за последние лет пять ничего из сделанного не могу назвать значимым, жизнь проходит, – говорит Саша.Саша в моей истории - обобщённый «носитель» феномена, это может быть программист или бизнесвумен, инженер-строитель или преподавательница Read more ›
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Scientists have identified a possible tipping point that helps determine whether Alzheimer’s-related brain changes lead to dementia. The key may lie in how the brain’s immune cells respond to plaques and tau, offering a promising new target for treatments designed to extend cognitive resilience. Read more ›
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As Europe recorded its hottest June on record, Europeans flocked to buy AC units, eroding a decades-old divide with America. Read more ›
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Whether you need a digital notebook or a portable creative workstation, Apple’s current iPad lineup has a student-friendly option for nearly every workload and budget. Read more ›
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For young Gen Zers entering the workforce, the rise of generative artificial intelligence has brought no shortage of uncertainty. Read more ›
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Asus’ latest thin-and-light laptop pairs a premium OLED panel with a Ryzen AI processor, 16GB of RAM, and a 1TB SSD. Read more ›
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A new $1,000 automatic espresso machine lets you choose from 20 preset hot and iced coffee recipes. Is it worth it? Read more ›
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The moon is about the size of Jupiter, and it orbits a brown dwarf instead of a regular planet. Read more ›
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You’re an action hero, and you need a camera to match. We guide you through all the models, plus accessory recommendations and hidden software tricks to try. Read more ›
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You don’t have to upload your video to the cloud or pay a monthly fee to secure your home. These security cameras record locally. Read more ›
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The EU-guaranteed facility targets cotton, soya and cashew value chains to diversify European supply and support Beninese SMEs. Read more ›
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A computing enthusiast has repurposed a very noisy and largely obsolete enterprise GPU (with lots of VRAM) for local LLM inference purposes. Read more ›
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As MiCA beds in and the U.K. finalizes its crypto framework, stringent regulation could spur mergers, acquisitions and closer ties with banks. Read more ›
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A former OpenAI intern shared that picking a niche was one thing that helped him break into the AI field. Read more ›
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Приветствую всех читателей Хабра. В этой статье я расскажу как сделать маршрутизатор из компьютера на Linux. На самом деле, сделать такой роутер несложно. Для реализации этого проекта подойдет любое устройство на Debian/Ubuntu Server, имеющее парочку сетевых карт и возможность раздавать Wi-Fi. Важно учесть, использует ли ваш провайдер PPPoE, т. к. статья не описывает настройку девайса для работы с этим протоколом. У x86 роутера есть плюс: он может стать полноценным домашним... Read more ›
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Earning more is one of the "secret skills" of people who have achieved financial independence, but some side hustles are a bigger lift than others. Read more ›
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VentureBeat
Presented by JumpCloudThe organizations losing confidence in AI are the ones most likely to get it right.Six months ago, 40% of IT leaders described their organizations as mature in AI deployment. Today that number is 23%. Before you read that as a setback, consider what it actually reflects.We recently surveyed 800 IT leaders across the U.S. and U.K. for our Q3 2026 trends report, and the data tells a consistent... Read more ›
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Hugging Face’s incident response team first turned to frontier AI models to analyze a breach of the company’s production infrastructure, and the models refused to help. Commercial safety guardrails built to stop attackers blocked every forensic query because they treated the IR team’s real exploit data the same way they would treat a live attack.The attacker, an autonomous AI agent running the campaign end to end, moved laterally across the... Read more ›
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The enterprise technology ecosystem is caught in a costly cycle. Over the past two years, millions of dollars have been funneled into generative AI pilots, yet many of these initiatives stall out before ever reaching a live production environment.When a project fails, the immediate instinct of technical leadership is often to blame the model: The context window was too restrictive, the latency was too high, or the reasoning capabilities simply... Read more ›
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Zillow, the real estate technology company, doesn't get one conversation with its customers. They move from a phone screen to a loan officer to a real estate agent, sometimes over months or years, and expect the context to follow them. A single chatbot could never carry that thread.At VB Transform 2026, Zillow SVP of Engineering Toby Roberts and Glean co-founder and CEO Arvind Jain described how they built AI architecture... Read more ›
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A single AI agent conversation can look flawless scored on its own and still point to a broken product. That gap is driving a shift in how enterprises evaluate agents, away from scoring individual traces and toward comparing cohorts of users against a baseline.At VB Transform 2026, Harrison Chase, CEO of LangChain; Hui Zhang, CTO and co-founder of Conviva; and Emmanuel Turlay, director of engineering at CoreWeave, described that shift,... Read more ›
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Enterprise AI is facing an ROI paradox. While throwing more compute at the strongest foundation model works well in product experiments, the costs become unbearable when the product is deployed in production.A new paper from researchers at Writer provides a solution that is accessible to engineering teams. The study takes a systematic look at optimizing the different components of the orchestration layer that wraps around the foundation model, aka the... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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Presented by Atlassian Most companies are approaching AI adoption backwards by optimizing how individuals use AI instead of how teams work together, said Dr. Molly Sands, head of the Teamwork Lab at Atlassian, during a fireside chat with VentureBeat senior technology contributor Sam Witteveen at VB Transform 2026.Sands leads a team of behavioral scientists and psychologists who study how AI is reshaping the way people work together, using those findings... Read more ›
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“The new PRD are the evals,” Xavi Amatriain, Expedia Group’s first chief AI and data officer, told the VB Transform 2026 audience last week in Menlo Park. “So basically, you encode what you want the product to do through your evals, which might include red teaming evals and all kinds of other things, which already have a bunch of security requirements. So, you already embed that into the PRD and... Read more ›
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Google DeepMind today released three new proprietary AI models it says are among its most token-efficient yet: Gemini 3.6 Flash, Gemini 3.5 Flash-Lite, and Gemini 3.5 Flash Cyber. The models aim to make AI agents faster, smarter, and cheaper at scale. Google is pricing Gemini 3.6 Flash at $1.50 per one million input tokens and $7.50 per one million output tokens through its application programming interface (API), while Gemini 3.5... Read more ›
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26.07.2026 06:31
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