Apple has achieved impressive sales of $9 billion in India, highlighting its growing presence in the country’s lucrative market. To capitalize on this success, Apple is expanding its retail footprint and manufacturing capabilities in India, aiming to strengthen its supply chain and local market engagement. This strategic move aligns with India’s push for increased domestic production under the “Make in India” initiative. In addition, Apple’s expansion is expected to create numerous job opportunities and foster local partnerships. As the company enhances its brand visibility in India, the move presents significant growth potential in a market with a rapidly increasing demand for technology. For businesses and entrepreneurs, leveraging tools like Fathom can provide valuable insights and analytics to stay ahead in this competitive landscape. Apple’s commitment to growth in India underlines its focus on emerging markets while responding to changing consumer preferences.
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Apple Achieves $9B Sales in India While Expanding Retail and Manufacturing | Featured AI Tool: Fathom | September 8 – itvoice.in
Question for HN: Is There Demand Among Windows Users for a Native Multi-Model AI Client?
🚀 Harness the Power of AI with 120 AI Chat!
As the developer behind 120 AI Chat, I’m excited to introduce a platform that transforms how you engage with AI:
- Multi-Model Conversations: Chat with advanced AI models including ChatGPT 5, Claude 4.1, and local LLMs.
- Side-by-Side Comparisons: Analyze responses effortlessly with multi-threaded discussions.
- Image Generation: Create stunning visuals with Gemini Flash and other state-of-the-art image models.
- Deep Problem Solving: Utilize reasoning models for enhanced analytical capabilities.
- Privacy Matters: Your conversations remain private with local storage options.
- Developer-Friendly Tools: Enjoy a clean interface designed with code themes and syntax highlighting.
I’m currently developing a Windows version and would love your insights! Would this native client complement your workflow, or do web apps suffice?
🎥 Check out the demo video above, and I’m offering free licenses to early Windows testers for your valuable feedback!
🙌 Let’s shape the future of AI together—share your thoughts below!
7 Essential AI-Powered Web Scraping Tools You Need to Know
In the data-driven landscape, web scraping has emerged as a crucial skill, powering applications like AI and financial market tracking. This article reviews the top AI-powered web scraping tools designed for effortless data extraction, particularly with built-in large language model (LLM) integrations.
- Firecrawl: An API for crawling URLs, delivering clean, LLM-ready markdown without needing sitemaps.
- ScrapeGraphAI: An LLM suite for easy structured data extraction with services for smart AI applications.
- Crawl4AI: An open-source tool for efficient web crawling, leveraging adaptive algorithms.
- Octoparse: A user-friendly platform with a drag-and-drop interface, ideal for novices.
- Browse.AI: A no-code tool for data extraction via robots, featuring real-time alerts and integrations.
- ScrapingBee: An API managing headless browsers, supporting AI extraction without blocking risks.
- Apify: A comprehensive platform for large-scale data extraction with smart proxy rotation.
These tools empower anyone—regardless of technical expertise—to extract valuable content efficiently.
Will AI Stifle the Flow of Knowledge?
Will AI Choke Off the Supply of Knowledge? 🌐
In a world driven by artificial intelligence, the question arises: are we at risk of diminishing our knowledge supply? This insightful article dives into the implications of AI on information accessibility, asking whether automation will enhance or hinder our cognitive capabilities.
Key Insights:
- Knowledge Accessibility: AI tools are reshaping how we access and process information.
- Intellectual Dependency: Are we becoming over-reliant on AI for decision-making and creativity?
- Future of Learning: The balance between automating tasks and fostering genuine understanding.
As AI technologies rapidly evolve, it’s crucial to confront this challenge head-on. Will we use these innovations to amplify our human potential or let them constrain our thirst for knowledge?
🔗 Join the conversation! Explore the implications of AI in our lives and share your thoughts in the comments. Let’s shape the future of intelligence together! #ArtificialIntelligence #Knowledge #AITrends
Gemini CLI: An Open Source Tool for Enhanced AI Application Development
Unlocking Efficiency with Gemini CLI: A Customizable Command-Line Tool for Developers
Gemini CLI is a powerful, free, open-source command-line interface tailored for developers. Utilizing the Gemini 2.5 Pro large language model (LLM), it streamlines workflow through extensive customization, allowing users to create tailored commands. Key features include terminal-based workflows, dynamic prompting, multi-directory management, and real-time internet access, ensuring productivity across diverse projects.
The tool’s intuitive setup process, coupled with TOML file capabilities for custom configurations, simplifies adaptation for both solo and collaborative developers. Despite operating on an older LLM, Gemini CLI prioritizes functionality with generous free usage limits, making it a cost-effective choice.
Gemini CLI distinguishes itself with transparency and active community support, fostering innovation. Its seamless terminal integration minimizes disruptions, making it ideal for developers seeking an adaptable, efficient coding experience. With Gemini CLI, elevate your development projects, streamline processes, and embrace a smarter coding companion. Explore how it can redefine your command-line interactions today!
Enhanced Code Generation: Merging LLMs for Superior AI Performance
Unlock Success in AI-Powered Software Engineering with Alloyed Agents!
Introducing Engine—your all-in-one async coding agent that transforms complex software engineering tasks from tickets to pull requests. No more guesswork; Engine’s algorithm manages long-running agent loops, executing terminal commands and writing code with minimal user input.
Key Features:
- Dynamic Model Selection: Users can switch effortlessly between LLMs from OpenAI, Anthropic, and Google, allowing for optimal task handling.
- Alloyed Agents: Our latest beta feature combines multiple models for better performance, evidenced by a 15% uptick in success rates.
- Robust Performance: Even during service outages, our agent maintains its efficiency, minimizing error rates.
With Engine, dive into a vibrant ecosystem where AI meets software engineering.
Join us and explore the future of coding! Try Engine Free
Your insights matter! Share your thoughts or experiences with AI coding agents in the comments below!
Geoffrey Hinton Sounds Alarm: AI Tools Could Lead to Widespread Job Losses
In recent years, AI has rapidly evolved, transitioning from basic models like Bing Chat and ChatGPT to advanced large language models (LLMs) capable of generating life-like images. Despite its potential across sectors such as education and healthcare, AI faces significant challenges, including privacy concerns and the risk of massive unemployment. Geoffrey Hinton, a prominent AI researcher, warns that the rise of this technology could lead to unprecedented job loss, with predictions that up to 99% of humanity might be unemployed by 2030. Bill Gates and other industry leaders echo these concerns, suggesting that AI could exacerbate wealth inequality by replacing human workers with machines. Advocates are calling for robust regulations to mitigate these risks, emphasizing the need for ethical guidance in AI development. As top AI labs race towards achieving artificial general intelligence (AGI), experts caution that society may not be prepared for the implications of such advancements. The debate surrounding AI’s impact on humanity continues to intensify.
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Tamil Valarchi Kazhagam Initiates Effort to Enhance AI Accessibility to Tamil Content
The Tamil Valarchi Kazhagam, a non-governmental organization based at the University of Madras, is addressing the lack of searchable Tamil content online. With a focus on improving accessibility, the Academy plans to use optical character recognition (OCR) technology to convert scanned documents, images, and PDFs into searchable text. Led by M. Rajendran, the initiative will train 30 post-graduate Tamil students to facilitate this process. The project, in collaboration with Wikipedia and the Central Institute of Classical Tamil, aims to ensure accurate content conversion. Funded by a ₹2.15 crore donation from Tamil Nadu Chief Minister M.K. Stalin, the Academy’s mission includes creating a Tamil-Tamil-English dictionary, a catalogue of Tamil publications, and various encyclopedic works. These efforts are part of the Academy’s broader goal to make Tamil AI-enabled and accessible to a global audience, especially children of the Tamil diaspora. The first training session is set for October 2025.
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Google Clarifies Gemini AI Prompt Limitations Amid Growing Speculation About ‘Gemini 3.0’
Stay updated with News7 Odia and Prameya, your trusted sources for the latest news in both English and Odia. Access comprehensive news coverage, insightful articles, and timely updates across various categories. Our user-friendly interface allows easy navigation and quick access to important information. Download our app for seamless news consumption on the go, ensuring you never miss out on breaking stories or significant events. Explore features like our ePaper for in-depth analysis and find essential links for contact, privacy policy, and terms of usage. Embrace informed decision-making with Prameya and News7 Odia, where quality journalism meets digital innovation. Stay connected for reliable news that matters to you.
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Streamlining AI Deployment: Myop Documentation Guide
Unlocking AI’s Potential: Overcoming the Production Bottleneck
In today’s fast-paced tech landscape, the buzz around AI is undeniable. Tools like Lovable, Figma AI, and Copilot empower teams to prototype rapidly. Yet, the real challenge remains:
Key Challenges in AI Integration:
- Moving from prototype to live production is complex.
- Traditional workflows slow momentum with engineering and deployment queues.
- Most AI outputs get stuck, failing to translate ideas into user impact.
A New Approach: Runtime Orchestration
Myop is revolutionizing how we approach AI integration. Here’s how:
- Plug-and-Play AI Components: Integrate new AI modules without altering core code.
- Safe Sandboxing: Maintain application stability with isolated environments.
- Instant Rollback: Effortlessly revert changes without downtime.
- Dynamic Management: Update components on-the-fly.
Your Path Forward:
- Evaluate your AI workflow.
- Identify high-impact experiments.
- Implement runtime orchestration for safe, agile deployment.
Ready to break free from the bottleneck? Let’s embrace the future of AI together! Share your thoughts below.