📡 Breaking news
Analyzing latest trends...

NASA's Juno spacecraft photographed in high resolution. 'GreatRedSpot' Jupiter.

-

NASA's Juno spacecraft orbit near (Great Red Spot) of Jupiter and send high resolution photos back to Earth. Enables human beings to see pictures of the giant red dots form a closer like never before.

Juno spacecraft was fired up space since 2011, and a mission to orbit Jupiter for one year recent Juno closer to the surface by Jupiter's clouds hovering over the 3,500 kilometers to capture this Great Red Spot.

Great Red Spot of Jupiter has a size of approx. 16,000 km (Earth's diameter is 12,742 km long) and are human beings first discovered in the year 1830.



💬 AI Content Assistant

Ask me anything about this article. No data is stored for your question.

Comments

Post a Comment

Popular posts from this blog

Amazon Hits $181B in Q1 AWS and Advertising Fuel Record-Breaking Growth.

-
Image
Amazon Q1 2026: Revenue Surges 28% as AWS and Advertising Drive Massive Gains Amazon.com, Inc. has reported a powerful performance for the first quarter of 2026, with total revenue climbing 28% year-over-year to $181,519 million . The e-commerce and technology giant also saw its net income soar to $30,255 million , reflecting strong operational efficiency and the continued success of its high-margin segments. Growth Engines: Cloud and Advertising The company’s growth remains anchored by its two most profitable divisions: AWS (Amazon Web Services): Revenue reached $37,587 million , a 28% increase . This growth highlights the sustained demand for cloud infrastructure as businesses transition more workloads to the cloud. Advertising Services: This segment continues its rapid expansion, generating $17,243 million in revenue, up 24% from the previous year. The $200 Billion AI Vision During the earnings call, CEO Andy Jassy reaffirmed Amazon's commitment to the AI revolution by m...
Read more

Samsung Mobile at a Crossroads Executive Warns of Potential First-Ever Annual Loss.

-
Image
Samsung Mobile Faces Historic Challenges: Potential First-Ever Annual Operating Loss Looming Samsung Electronics is facing a pivotal moment in its mobile division. According to reports from South Korean media, TM Roh , Head of Samsung’s Mobile eXperience (MX) business, has expressed internal concerns regarding the potential for an operating loss this fiscal year. The "Memory" Squeeze For years, Samsung's mobile division has been a consistent profit engine for the conglomerate. However, the current surge in DRAM and memory chip prices has created a severe cost burden for smartphone manufacturers worldwide. Industry analysts from firms like IDC and Counterpoint have long warned that smartphone makers would face a painful binary choice: significantly hike consumer prices or absorb the costs and face a decline in margins. The Vulnerability of Price-Sensitive Models The cost crisis hits different segments in vastly different ways: Entry-Level/Budget Models: These devices a...
Read more

GitHub Copilot Shifts to Usage-Based AI Credits What Developers Need to Know.

-
Image
  GitHub Copilot Overhauls Pricing: Moving to a Token-Based "Credit" System Following last week’s surprise announcement regarding a temporary freeze on new GitHub Copilot customer onboarding, GitHub has officially unveiled a complete overhaul of its AI pricing model. The platform is moving away from its previous "Request-Based" system in favor of a more granular, usage-based model powered by GitHub AI Credits . From PRUs to Token-Based Credits Previously, GitHub Copilot utilized Premium Request Units (PRUs) , which applied different multipliers based on the model used. However, this structure had a significant flaw: simple conversational queries and complex, long-running coding tasks were often treated as a single "request." While this made Copilot an attractive, budget-friendly alternative to token-based competitors, it created scaling challenges for GitHub’s backend. Starting June 1, 2026 , the new system will: Account for Every Token: Usage will be me...
Read more

Beijing Blocks Meta $2 Billion Manus AI Deal in Major Tech Intervention.

-
Image
Beijing Blocks Meta $2 Billion Acquisition of AI Startup "Manus" In a significant move highlighting the escalating technological rivalry between Washington and Beijing, China National Development and Reform Commission (NDRC) has officially blocked Meta’s $2 billion acquisition of the Singapore-based AI agent startup, Manus AI . The Intervention: A Major Regulatory Blow The NDRC has issued a formal order requiring both Meta and the relevant parties to "unwind" the transaction. While the commission cited compliance with "laws and regulations" as the basis for the decision, the move is widely viewed by industry analysts as a strategic effort by Beijing to prevent the "hollowing out" of China’s domestic AI innovation base. The "Manus" Story: From China to Singapore Manus AI, initially developed by the Beijing-based startup Butterfly Effect , gained global prominence in early 2025 as a breakthrough "action engine." Unlike tradit...
Read more

Meta Launches Instants A Standalone App for Spontaneous Real-Life Moments.

-
Image
Meta Launches "Instants": The New Standalone App for "Real Life, Real Quick" Moments Meta has officially launched Instants , a new standalone application derived from Instagram’s internal features. Now available for download on both iOS and Android , Instants is positioning itself as a direct competitor to the fleeting, unfiltered social media movement. The Philosophy: "Real Life, Real Quick" Instagram defines Instants as a platform built for spontaneity. Unlike the highly curated feeds typically associated with Instagram, Instants encourages users to share raw, unedited photos with a select group of friends. The "One-and-Done" Experience: Staying true to its mission of "realness," photos shared on Instants disappear the moment they are viewed by the recipient. Hybrid DNA: The app serves as a deliberate hybrid between the spontaneous capture of BeReal and the ephemeral nature of Snapchat , stripping away the pressure to create ...
Read more

Ghostty Migration Why Legend Mitchell Hashimoto is Leaving GitHub.

-
Image
Mitchell Hashimoto Departs GitHub : Why the Creator of Ghostty is Moving Away Mitchell Hashimoto , the renowned software developer and creator of the popular open-source terminal emulator Ghostty , has announced that he will be migrating the project’s source code away from GitHub. This marks a significant departure for a developer who has been an integral part of the GitHub community since its earliest days. The "Breaking Point" Hashimoto, who joined GitHub in February 2008 as user #1299 , has been a daily active user for nearly two decades. However, he cites a growing frustration with GitHub’s reliability: Unacceptable Downtime: Hashimoto noted that recent service outages have become too frequent, with many lasting for extended periods. Operational Friction: For a project like Ghostty, which demands serious, consistent maintenance, these outages have become a major bottleneck. Hashimoto stated that GitHub no longer feels like a reliable "home" for mission-critica...
Read more

OpenAI Launches Privacy Filter A Localized AI Shield for Sensitive Data.

-
Image
OpenAI Unveils "Privacy Filter": A Lightweight, AI-Powered Shield for Personal Data OpenAI has officially released Privacy Filter , a specialized model designed to sanitize sensitive data before it is transmitted to external systems. As organizations increasingly integrate AI into their workflows, this new tool serves as a critical layer of defense, ensuring that private information remains internal and secure. Key Capabilities Privacy Filter is trained to identify and mask eight distinct categories of sensitive information: Personal Names Physical Addresses Email Addresses Phone Numbers URLs Dates Bank Account Numbers Secret Keys/Credentials Under the Hood: Architecture and Performance Unlike traditional Large Language Models (LLMs) that predict the "next token," Privacy Filter utilizes a repurposed LLM architecture specifically tuned for token classification . With a lean size of only 1.5 billion parameters , the model is optimized for easy deployment directly w...
Read more