OpenAI, Oracle deepen AI data center push with 4.5 gigawatt Stargate expansion
OpenAI announced that Oracle will provide 2 million chips to help scale its AI data center infrastructure. This partnership aims to boost computing power for OpenAI's advanced models like ChatGPT, reflecting growing demand for AI capabilities and the need for massive processing resources to support training and deployment.
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Time of India
28 minutes ago
- Time of India
Microsoft launches GitHub Spark: What is it, how it works and more explained
TL;DR GitHub Spark AI platform allows users to use natural language to develop app No configuration, hosting, or API key management needed Users can deploy their apps instantly with a single click Get a GitHub repository with Actions and Dependabot Users can leverage Copilot agents for deeper iteration Microsoft has unveiled GitHub Spark, a new AI platform that is designed to bridge the gap between idea and implementation – all without users having no coding knowledge. This tool allows users to build and deploy full-stack apps in minutes using natural language. Thomas Dohmke, CEO of GitHub, says that GitHub Spark – which was first shown at GitHub Universe 2024 annual developer conference in San Francisco – 'takes you from idea to deployment in minutes.' Microsoft CEO Satya Nadella, who announced the availability of the tool said that GitHub Spark is 'a new tool in Copilot that turns your ideas into full-stack apps, entirely in natural language.' 'I love playing with Spark myself, but even more, I've loved seeing what you're building,' he added. Here's an explainer on what is GitHub Spark and what it does GitHub Spark is an AI platform – currently in public preview for Copilot Pro+ users – that leverages the power of large language models (LLMs) to help users create an app even if they do not have any coding knowledge. Initially, the platform is powered by Claude Sonnet 4 for natural language-to-app capabilities. Users can simply describe their app idea, and Spark will construct it, including both frontend and backend functionalities. This experience extends to integrating AI into apps, with support for LLMs from leading providers like OpenAI, Meta, DeepSeek, and xAI, all without the need for complex API key management. According to GitHub, the platform boasts a 'no setup required' approach, bundling data, LLM inference, hosting, deployments and GitHub authentication out-of-the-box. This means developers and even non-technical users can use the platform without having any AI infrastructure. Once an app is built, it can be published with a single click, GitHub says. GitHub Spark offers visual editing and Copilot agent mode support GitHub Spark also offers flexibility in development. Users can iterate on their ideas using natural language, visual editing controls, or even code with integrated GitHub Copilot code completions. For those who prefer to dive deeper, Spark allows for the creation of a full GitHub repository with GitHub Actions and Dependabot automatically incorporated, ensuring everything stays synchronized and not trapped in a sandbox environment. FAQs Q: What is GitHub Spark? A: GitHub Spark is a new platform that allows users to build and deploy full-stack apps from natural language descriptions, accelerating the development process. Q: How does GitHub Spark work? A: Users describe their app ideas in natural language. Spark, powered by LLMs like Claude Sonnet 4, translates this into a functional application, handling everything from frontend and backend code to data storage, hosting and AI integration. Q: Who can use GitHub Spark? A: GitHub Spark is currently available in public preview for Copilot Pro+ users. Rollout to additional customers is planned for the future. Q: What kind of applications can you build with GitHub Spark? A: Users can build full-stack intelligent applications, from simple internal tools to more complex web applications with integrated AI features like chatbots or recommendation systems. Q: Do you need to be a coder to use GitHub Spark? A: No, GitHub Spark is designed to be accessible to both seasoned developers and non-technical users. Q: Where can users get started with GitHub Spark? A: Users can visit to build their first app, or sign up for a Copilot Pro+ account to gain access. 7 Reasons that make Samsung GALAXY Z FLIP7 different from others AI Masterclass for Students. Upskill Young Ones Today!– Join Now
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Business Standard
an hour ago
- Business Standard
Decoded: How human poop became Microsoft's tool to fight climate change
Why's a tech giant like Microsoft shopping for human poop? Well, it's part of a serious climate play. Microsoft has announced a 12-year deal with US startup Vaulted Deep to buy human excreta, manure, and agricultural waste to offset emissions from its energy-intensive data centres. The waste will be injected 5,000 feet underground, helping remove 4.9 million metric tonnes of carbon dioxide—cutting its data centre emissions. The partnership will extend over 12 years, until 2038. How does Vaulted Deep offset carbon? A runner-up in Elon Musk's Xprize Carbon Removal competition, Vaulted Deep uses human waste, animal manure, and paper sludge to create carbon-rich slurry, which is then injected deep into underground rock formations. Vaulted Deep's key advantage lies in its ability to eliminate unusable waste and convert it into carbon credits. The technology giant's growing energy demands to support its artificial intelligence (AI) infrastructure have led to a rise in emissions. Since 2020, Microsoft's carbon output has increased by nearly 25 per cent, undermining its 2020 pledge to remove more carbon from the atmosphere than it emits by 2030. By 2050, Microsoft aims to remove more greenhouse gases from the environment than it has released since its founding. Burying bioslurry is one of several carbon offsetting strategies Microsoft is investing in, aiming to tackle climate change by preventing the release of carbon dioxide and methane into the atmosphere. AI boom fuelling energy consumption AI-powered large language models such as ChatGPT rely on energy-intensive data centres. AI is expected to increase electricity demand from these centres by 50 per cent by 2027. The construction of data centres and upgrades to grid infrastructure further elevate energy consumption. Microsoft reported generating 14.9 million metric tonnes of greenhouse gas emissions—more than twice the level it aims to reach by 2030, when it plans to become carbon negative. The tech giant has expanded its investments in carbon removal technologies to meet this target. How Vaulted Deep's method works? Vaulted Deep collects what it refers to as 'bioslurry' – which includes human waste from municipal sewage systems, surplus manure from farms, and leftover sludge from paper mills. The material is ground into slurry and injected approximately 5,000 feet underground. The slurry is sourced from municipal and industrial sites before being piped beneath natural rock layers. In the case of manure, deep underground storage halts decomposition, thereby preventing the release of greenhouse gases such as CO2 and methane into the atmosphere. Vaulted Deep then sells carbon credits based on the amount of carbon successfully stored underground. These credits currently sell for around $350 per metric tonne. Vaulted Deep's selling point is that it gets rid of waste that is unusable and turns it into carbon credits. To date, the startup has removed over 18,000 metric tonnes of carbon dioxide. What are carbon credits and how do they help? Carbon credits allow companies to offset their environmental impact by paying others to reduce emissions or capture carbon on their behalf. In more ambitious scenarios, firms use carbon credits to achieve carbon neutrality. How do carbon credits work? If a company cannot eliminate its CO2 emissions, it can pay another entity to reduce theirs, so that the total amount of carbon in the atmosphere declines—even if the original emitter continues its operations. There are three categories of carbon credits:
Time of India
an hour ago
- Time of India
Sam Altman's warning about ChatGPT: Why OpenAI CEO calls it 'bad and dangerous' for children
Sam Altman's warning about ChatGPT OpenAI chief executive Sam Altman is hardly a doomsayer about his own creation, yet at a Federal Reserve banking forum, he drew a hard line: 'Something about collectively deciding we're going to live our lives the way AI tells us feels bad and dangerous.' He wasn't talking about rogue robots; he was talking about ordinary teenagers who now treat ChatGPT as a best friend, mentor, and life-coach all in one. Altman recounted young users who say, 'It knows me, it knows my friends — I'll just do what it says.' His comments land just as a Common Sense Media survey shows 72 percent of US teens have tried an AI companion and fully half 'somewhat' trust its advice. Altman's point is less about banning the tool than about guarding critical thinking before chatbots become an unseen operating system for growing minds. Why Sam Altman thinks ChatGPT's heavy, personal reliance is risky Altman's central worry is outsourced agency. A large language model predicts text; it does not feel consequences. When a 15-year-old hands over college choices or friendship drama to a probability engine, the teen's own reasoning muscles stay idle. Over time, that constant deferral can dull judgment, narrow curiosity, and leave the user vulnerable to any confident-sounding answer — correct or not. The OpenAI CEO called this pathway 'dangerous' precisely because it is subtle: the chatbot works so smoothly that dependency feels like convenience rather than loss. The data behind the concern by Taboola by Taboola Sponsored Links Sponsored Links Promoted Links Promoted Links You May Like Why Seniors Are Snapping Up This TV Box, We Explain! Techno Mag Learn More Undo The 2025 Common Sense Media poll of 1,060 teens found that 72 percent have used AI companions in the past year, with more than half engaging daily. Fifty percent said they at least somewhat trust the information those bots provide, and 23 percent trust it 'quite a bit' or 'completely.' Younger teens were markedly more trusting than older peers. Researchers flagged that split as proof that adolescents may accept AI authority before they master scepticism. How ChatGPT over-reliance shows up in everyday life Psychologists who study digital habits outline several red flags: Instant-answer reflex: Reaching for ChatGPT before trying to recall facts or brainstorm solutions. Decision paralysis without the bot: Feeling anxious or 'blank' when forced to choose without AI input. Erosion of peer dialogue: Preferring AI chats over friends when seeking advice, which shrinks real-world social feedback loops. These patterns echo pre-smartphone research on GPS overuse: the brain offloads work, then loses skill through disuse. Ways to keep ChatGPT in the toolbox, not the driver's seat Altman's own company publishes user-safety guidelines, and independent educators add practical guardrails: Use the three-source rule: Verify any factual or life advice via at least two non-AI references (books, experts, parents). Time-box the session: Set a five-minute timer, gather inspiration, then return to pen-and-paper planning. Keep human mentors in the loop: Share big decisions first with teachers, counsellors, or family. Ask for explanations, not instructions — prompt the model to outline pros and cons so you can still weigh the choice. These habits reinsert critical thinking without discarding the efficiency gains people like about generative AI. Also Read | Blue Lock Rivals codes (July 2025) | Roblox Tennis Zero codes July 2025
