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YouTube is one of the most influential platforms in modern media, but its origin story is surprisingly simple: a small team wanted an easier way to share video online. In the early 2000s, uploading and sending video files was slow, formats were inconsistent, and most websites weren’t built for smooth playback. YouTube’s founders focused on removing those barriers—making video sharing as easy as sending a link. Who Founded YouTube? YouTube was founded by three former PayPal employees: Chad Hurley, Steve Chen, and Jawed Karim. They combined product thinking, engineering skills, and a clear user goal: create a website where anyone could upload a video and watch it instantly in a browser. Chad Hurley — product/design focus and early CEO role Steve Chen — engineering and infrastructure Jawed Karim — engineering and early concept support The Problem YouTube Solved At the time, sharing video often meant emailing huge files or dealing with complicated players and downloads. YouTube made video: Uploadable by non-experts (simple interface) Streamable in the browser (no special setup) Sharable through links and embedding on other sites Early Growth and the First Video YouTube launched publicly in 2005. One of the most famous early moments was the first uploaded video, “Me at the zoo,” featuring co-founder Jawed Karim. The clip was short and casual—exactly the kind of everyday content that proved the platform’s big idea: ordinary people could publish video without needing a studio. Key Milestones Timeline Year/Date Milestone Why It Mattered 2005 YouTube is founded and launches Introduced easy browser-based video sharing 2005 “Me at the zoo” is uploaded Became a symbol of user-generated video culture 2006 Google acquires YouTube Provided resources to scale hosting and global reach Why Google Bought YouTube By 2006, YouTube’s traffic was exploding. Video hosting is expensive—bandwidth and storage costs rise fast when millions of people watch content daily. Google’s acquisition gave YouTube the infrastructure and advertising ecosystem to grow into a sustainable business. What YouTube’s Founding Changed YouTube didn’t just create a popular website; it reshaped how people learn, entertain themselves, and build careers online. Its founding helped accelerate: Creator-driven media and influencer culture How-to education and free tutorials at massive scale Music discovery, commentary, and global community trends From a small startup idea to a global video powerhouse, YouTube’s founding is a classic example of a simple product solving a real problem—and changing the internet in the process.

Spotify is still the streaming service most people start with, and in 2026 it remains one of the most complete. The catalogue covers well over a hundred million tracks, plus podcasts and audiobooks, and the app looks and works the same on a phone, a laptop, a TV or a smart speaker. What works well Recommendations are the strongest part. The weekly discovery mixes and daily playlists learn from what you save and skip, and after a couple of weeks they get noticeably better. Collaborative playlists are handy for trips and parties, and switching playback between devices takes one tap. What could be better The free plan has adverts and limited skips on mobile, and audio quality on the basic tiers is good rather than outstanding. Prices have also crept up over the last few years, so the family and duo plans are the better value. Verdict For most listeners Spotify is an easy choice: a huge library, smart recommendations and apps that just work. Try the free plan first and upgrade if the adverts get in the way.

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Hippocratic AI raises $141M to staff hospitals with clinical AI agents Story Partners with Stability AI to Empower Open-Source Innovation for Creators and Developers Meanwhile, Kristina Dulaney, RN, PMH-C, the founder of Cherished Mom, an organization dedicated to solving maternal mental health challenges, helped to create an AI agent that’s focused on helping new mothers navigate such problems with postpartum mental health assessments and depression screening. The startup was initially focused on creating generative AI chatbots to support clinicians and other healthcare professionals, but has since switched its focus to patients themselves. Its most advanced models take advantage of the latest developments in AI agents, which are a form of AI that can perform more complex tasks while working unsupervised. Despite rapid advancements in AI, creators in open-source ecosystems face significant challenges in monetizing derivative works and securing proper attribution. Story, the global intellectual property blockchain, has announced its integration with Stability AI’s state-of-the-art models to revolutionize open-source AI development. This collaboration enables creators, developers, and artists to capture the value they contribute to the AI ecosystem by leveraging blockchain technology to ensure proper attribution, tracking, and monetization of creative works generated through AI. Andreessen Horowitz, or a16z, is investing in AI and biotech to lead the way in innovation. Your vote of support is important to us and it helps us keep the content FREE. In a statement, Raspberry AI said the funding would be used to accelerate its product development and add top engineering, sales and marketing talent to its team. But with U.S. companies raising and/or spending record sums on new AI infrastructure that many experts have noted depreciate rapidly (due to hardware/chip and software advancements), the question remains which vision of the future will win out in the end to become the dominant AI provider for the world. Or maybe it will always be a multiplicity of models each with a smaller market share? That’s followed by more extensive evaluations and safety assessments by an extensive network of more than 6,000 nurses and 300 doctors, who will confirm that it passes all required safety tests. Once the AI agent is up and running, the clinicians who created it will be able to claim a share of the revenue it generates from the startup’s customers. Currently the technology is being used by Under Armour, MCM Worldwide, Gruppo Teddy and Li & Fung to create and iterate apparel, footwear and accessories styles. The company’s existing investors Greycroft, Correlation Ventures and MVP Ventures also joined in the round, along with notable angel investors, including Gokul Rajaram and Ken Pilot. Clearly, even as he espouses a commitment to open source AI, Zuck is not convinced that DeepSeek’s approach of optimizing for efficiency while leveraging far fewer GPUs than major labs is the right one for Meta, or for the future of AI. Raspberry AI secures 24 million US dollars in funding round Story is the world’s intellectual property blockchain, transforming IP into networks that transcend mediums and platforms, unleashing global creativity and liquidity. By integrating Stability AI’s advanced models, Story is taking a significant step toward building a fair and sustainable internet for creators and developers in the age of generative AI. Hippocratic AI said it’s necessary to have clinicians onboard because they have, over the course of their careers, developed deep expertise in their respective fields, as well as the practical insights to help cure specific medical conditions and the clinical workflows involved. Investing in Raspberry AI – Andreessen Horowitz Investing in Raspberry AI. Posted: Mon, 13 Jan 2025 08:00:00 GMT [source] Story aims to bridge this gap by combining Stability AI’s cutting-edge technology with blockchain’s ability to secure digital property rights. For example, creators could register unique styles or voices as intellectual property on Story with transparent usage terms. This would enable others to train and fine-tune AI models using this IP, ensuring that all contributors in the creative chain benefit when outputs are monetized. One click below supports our mission to provide free, deep, and relevant content. Holger Mueller of Constellation Research Inc. said Hippocratic AI is bringing two of the leading technology trends to the healthcare industry, namely no-code or low-code software development and AI agents. The launch is a bold step forward in healthcare innovation, giving clinicians the opportunity to participate in the design of AI agents that can address various aspects of patient care. It says clinicians can create an AI agent prototype that specializes in their area of focus in less than 30 minutes, and around three to four hours to develop one that can be tested. Shah said the last nine months since the company’s previous $50 million funding round have seen it make tremendous progress. During that time, it has received its first U.S. patents, fully evaluated and verified the safety of its first AI healthcare agents, and signed contracts with 23 health systems, payers and pharma clients. For instance, one of its AI agents is specialized in chronic care management, medication checks and post-discharge follow-up regarding specific conditions such as kidney failure and congestive heart failure. The healthcare-focused artificial intelligence startup Hippocratic AI Inc. said today it has closed on a $141 million Series B funding round that brings its total amount raised to more than $278 million. “This round of financing will accelerate the development and deployment of the Hippocratic generative AI-driven super staffing and continue our quest to make healthcare abundance a reality,” he promised. Raspberry AI, the generative AI platform for fashion creatives, has secured 24 million US dollars in Series A funding led by Andreessen Horowitz (a16z). Today, we’re going in-depth on blockchain innovation with Robert Roose, an entrepreneur who’s on a mission to fix today’s broken monetary system. Hippocratic AI’s early customers include Arkos Health Inc., Belong Health Inc., Cincinnati Children’s, Fraser Health Authority (Canada), GuideHealth, Honor Health, Deca Dental Management, LLC, OhioHealth, WellSpan Health and other well-known healthcare systems and hospitals. By incorporating this wisdom into its AI agents, it’s making them safer

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Пункт и пипс в трейдинге Поэтому очень часто многие трейдеры до сих пор используют понятие пункта для всех котировок, либо вовсе приравнивают пункт к пипсу. При использовании четырехзначной котировки он будет равен 0,0001. Если вы – биржевой трейдер, то стоимость пункта для вас будет эквивалентна единице измерения стоимости торгуемого инструмента. Частое недопонимание относительно тиков заключается в том, что они применимы исключительно к дневной торговле. Признание движений тиков может дать представление о общем рыночном настроении и привести к более обоснованным торговым решениям. Расчет пипса и тика также может значительно различаться между рынками. Преимущества и риск использования пипсов в трейдинге Начальный уровень пипсовки предполагает использование «центовых счетов». Пипсовщик не торгует много валютных пар, изучая, как правило, одну или две. Пипсовщик – трейдер, работающий по стратегии, предусматривающей закрытие ордеров с прибылью в несколько пунктов (пипсов). Таким образом, чтобы перевести это значение в USD, нужно просто взять курс GBP/USD и умножить на стоимость пипса. Таким образом, для пары GBP/USD значение пипса будет отображаться в GBP, а не в USD. Расчёт стоимости пипса не является жизненно важным для успеха трейдера, так как ваш брокер рассчитывает это значение автоматически. Что такое Пипсы в трейдинге? Пипс на Форексе всегда будет стоить в 10 раз меньше по сравнению с пунктом. Или, что ещё проще, один пункт в четырёхзначной котировке равен десяти пунктам в пятизначной котировке. Для того чтобы не проводить данные математические расчеты самостоятельно, можно воспользоваться скриптом DaVinci Count trading lot для МТ4. Что касается того как рассчитать цену пипса, то есть масса калькуляторов, их разберем позже. Также в настройках может быть пункт, отвечающий за разрядность котировок. Если что-то вдруг не понравится или разочарует, держать за руку вас не станут, уйти сможете в любой момент. 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