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Ariana Grande "Brighter Days Ahead: Eternal Sunshine Deluxe" Album | Zip & Mp3? Download

Ariana Grande's new album 'Brighter Days Ahead: Eternal Sunshine Deluxe' is set to be released soon.
The album is accompanied by a short film featuring Grande revisiting the Brighter Days memory-wiping clinic.
In the film, Grande's character, Peaches, is shown waiting in a wheelchair as her name is called.
The teaser hints at Peaches returning to the clinic when she is older.

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Medium

221

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Best AI Software to Help You Earn Up to $100 Daily: A Humanized Approach to Making Money with AI

ChatGPT can be used for writing blog posts, social media content, and more to earn money on platforms like Upwork and Fiverr.
Jasper AI is ideal for creating marketing copy and ads, offering opportunities to earn through copywriting services.
Teachable allows for the creation and selling of online courses with the help of AI tools, offering a passive income stream.
Platforms like Fiverr and Upwork provide opportunities to offer various services using AI tools for tasks like design, transcription, and coding.
Amazon Mechanical Turk offers microtask jobs where AI tools can assist in completing tasks efficiently to reach $100 a day.
AI-driven platforms like Trade Ideas and CryptoHopper can aid in stock trading, potentially earning over $100 a day with a solid strategy.
Survey sites powered by AI like Swagbucks and Prolific can help you earn money by completing tasks based on preferences and demographics.
AI has revolutionized earning opportunities, emphasizing the importance of consistency, creativity, and leveraging AI tools effectively.
Success in earning through AI requires a combination of effort, trial and error, and utilizing AI as a tool to enhance existing skills.
Strive for consistency and creativity while using AI tools to explore new income streams and boost productivity in the digital age.

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Dev

265

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Why Generalists Will Survive the Gaming Industry’s Collapse

The gaming industry is facing a crisis, with mass layoffs becoming the norm.
The industry's over-reliance on hyper-specialized talent is problematic in an unstable market.
Generalists, with a broad skill set, are better positioned to navigate instability.
Generalists demonstrate adaptability, independence, career flexibility, and rapid learning.

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Dev

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Efficiently handle large datasets, huge files and data streams with PHP generators

Handling large files or data streams in PHP can be challenging without efficient methods like generators.
Comparing the memory-intensive array approach to the memory-efficient PHP Generators for processing large files.
Loading entire files into arrays can lead to high memory consumption and errors, especially for large files.
Generators in PHP allow processing one row at a time without storing the entire dataset in memory.
Generators yield values on-demand, making them ideal for handling huge files or infinite sequences.
Generators offer lower memory usage, improved performance, lazy evaluation, scalability, and work well with infinite sequences.
Best suited for handling large files, streaming data, processing huge datasets efficiently, and generating large sequences.
Generators are not suitable for random access, multiple data processing, sorting, filtering, or advanced operations on the entire dataset.
Generators are recommended for memory-efficient processing in PHP projects, providing benefits in efficiency, performance, and scalability.
Using generators can be a game-changer for handling large datasets and data streams effectively in PHP.

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Dev

315

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Why I’m Betting on Web Components in 2025

Modern frontend development is fragmented with various frameworks and UI libraries, making it tiresome to rebuild UI components each time.
The author is betting big on Web Components, which are suite of native browser technologies that allow creation of custom, reusable HTML elements that work with any frontend tech.
Web Components face challenges like styling, framework friction, learning curve, and lack of tooling. However, modern advancements have addressed many of these issues.
Web Components offer advantages such as cross-framework compatibility, future-proofing, isolation, interoperability, and performance, making them suitable for micro frontends and polyglot stacks.

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Dev

162

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Stopping the Stream: A Pythonic Guide to Controlling OpenAI Responses

This article discusses a practical approach to providing users with control over stopping AI-generated responses.
The challenge is to stop the stream mid-generation without disrupting the entire application.
The solution involves implementing a StreamController class and an AIResponseGenerator class.
The implementation allows for stopping the stream and includes pro tips for performance and error handling.

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Python Blogs

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CoinGate: Best Bitcoin & Crypto Payment Gateway & Processor

CoinGate is a leading cryptocurrency payment gateway that allows businesses to accept payments in Bitcoin and more than 70 other digital currencies.
Key Features of CoinGate include wide cryptocurrency support, instant conversion to fiat, multiple integration options, API for developers, Lightning Network support, payment buttons, and a point of sale system.
CoinGate offers seamless integration, secure and compliant transactions, no chargebacks, and competitive fees, making it a superior choice among crypto payment gateways.
CoinGate is ideal for e-commerce shops, freelancers, retail stores, subscription-based platforms, gaming and digital services, and any business looking to accept crypto payments.

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Medium

231

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How to find your next AI startup idea when everything seems possible

The article discusses a mental model called the Critical Frequency Matrix to identify valuable AI startup opportunities within enterprises.
It categorizes enterprise tasks based on frequency and criticality to create a simplified fingerprint of the business.
Tasks that are low-frequency and high-criticality, like major corporate pivots or crisis management, are where human leadership shines over AI automation.
High-frequency, high-criticality tasks offer market opportunities but pose challenges for AI agents, requiring near-perfect reliability and accuracy.
Low-criticality, high-frequency tasks, such as routine customer support inquiries, are ideal for automation through AI systems.
Low-frequency, low-criticality tasks offer potential through generalized AI assistance but require exceptional adaptability and intelligence.
The market value of automating a task increases with frequency and criticality, with tasks being more valuable when they are both frequent and essential to the business.
The article suggests focusing on tasks that cause constant pain as they may hold higher business value than solving episodic pain.
The framework helps investors focus on enterprise value and identifies areas with potential for new AI-native ventures.
It provides a checklist for building an AI-native startup and emphasizes the importance of addressing interconnected tasks effectively.

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Medium

124

AI and the Future of Work: Embracing Change in the Age of Automation

AI is transforming job roles across multiple sectors, evolving job functions and creating new types of roles.
Emerging job roles in the age of AI include AI trainers, data scientists, machine learning engineers, and AI ethics consultants.
Ethical implications of AI in hiring include potential biases in recruitment algorithms and transparency in automated decisions.
Future skills required in a world with AI involve critical thinking, technical proficiency, emotional intelligence, adaptability, and lifelong learning.

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Dev

254

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First Alpha of Gland Framework Released

The first alpha version of the Gland framework has been released.
The framework has some challenges, including the dependency on HTTP in @gland/core and the lack of proper documentation and tests.
The developers are seeking feedback and contributions from the community to improve the framework.
The ultimate goal is to make Gland a scalable and flexible framework, compatible with various protocols.

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Medium

162

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Please Go. You Can Stay.

An employee shares their experience of being laid off in a confusing manner by their company.
The company wanted to keep two senior developers to transfer to another company, but offered uncertainty about their future job security.
The employee was offered a severance package and had mixed feelings about finding a new job.
The employee also had to train their replacement before receiving the severance payout.

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Medium

322

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Open Source Products — It’s Time

Applying open source methods can revolutionize various industries, not just software.
NodeCosmos offers a holistic view of product components and processes, organizing them into transparent chunks.
Using branches in NodeCosmos allows for collaborative contributions, ensuring continuous improvement.
Open models foster inclusivity, empowering unexpected sources of insights, and future-proof projects in a rapidly evolving world.

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Dev

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Understanding Azure Resource Groups: A Comprehensive Guide

Azure Resource Groups in Microsoft Azure serve as logical containers for organizing and managing related cloud resources within the Azure Resource Manager framework.
Resource groups play a crucial role in centralizing control over resources like virtual machines, storage, databases, and networking elements.
They enable simplified tasks such as deployment, access control, cost tracking, and lifecycle management by grouping resources together.
Resource groups debuted with Azure Resource Manager in 2014, providing a structured way to manage cloud assets through templates and declarative frameworks.
They offer logical resource association, hierarchical management scope, cross-region flexibility, metadata storage, and support for Infrastructure as Code (IaC).
Advantages of Azure Resource Groups include centralized management, granular cost visibility, RBAC enforcement, lifecycle-based governance, and operational flexibility.
Best practices for managing resource groups involve structured naming conventions, resource grouping alignment, metadata tags utilization, workload isolation, IaC implementation, RBAC enforcement, and regional compliance consideration.
Common use cases for Azure Resource Groups include application deployment, environment segregation, cost allocation, disaster recovery, and high availability strategies.
Resource groups function as a strategic framework for structuring and efficiently managing cloud resources, ensuring cost optimization, access control, and compliance.
Mastering Azure Resource Groups is essential for maximizing cloud efficiency, security, and scalability within the Azure ecosystem as cloud computing evolves.

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Medium

179

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Understand More Search Tuning (SPLK-1004 exam preps)

Splunk heavy forwarders can filter and route event data based on various criteria, including event metadata like source, source type, or event patterns.
Routing can be configured through props.conf, transforms.conf, and outputs.conf files, with the ability to index data locally before forwarding or perform selective indexing.
Splunk's search processing language (SPL) supports Boolean operators: AND, OR, NOT, and XOR.
Exclusion searches using NOT tend to be less efficient than inclusive ones.

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Dev

335

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Python vs. C for Microcontrollers — Which One Wins?

Python with MicroPython and CircuitPython is challenging the dominance of C in embedded systems by offering simplicity and readability.
C excels in performance with compiled code, running faster than Python, crucial for real-time systems.
Python, though interpreted, provides faster development cycles and acceptable latency for many embedded applications.
In memory usage, C offers granular control, allowing for efficient usage in constrained environments.
MicroPython and CircuitPython typically require less memory overhead than C variants, making Python more memory-efficient.
Python enables rapid prototyping and quick iteration, cutting development time by 40–60% compared to C.
Python's readability and community support make maintenance easier, especially in collaborative or educational projects.
C is suitable for real-time systems, low-level hardware interfacing, and resource-constrained devices.
Python is ideal for rapid prototyping, educational projects, and IoT applications with rich libraries.
Hybrid models combining Python for high-level logic and C modules for critical routines are gaining traction in embedded development.

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