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Engadget
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Microsoft is phasing out its Remote Desktop app in May
- Microsoft is phasing out its Remote Desktop app for Windows by May 27, 2025.
- The legacy Remote Desktop client will no longer be supported on Windows after this date.
- Users must transition to the Windows app for accessing Windows 365, Azure Virtual Desktop, and Microsoft Dev Box.
- Windows will still have a built-in Remote Desktop Connection app for RDP connections and Microsoft plans to incorporate it into the Windows app eventually.
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Tech Radar
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Apple Vision Pro goes off to never never land with Metallica concert footage
- Apple's Vision Pro, the mixed-reality headset, features an immersive music experience with Metallica concert footage.
- The concert was filmed using Apple Immersive Video Cameras and provides unprecedented access to the band members.
- The immersive video allows viewers to be on stage, backstage, and in the 'Snake Pit' during Metallica's performance.
- Apple has been expanding its immersive content library, but the Vision Pro headset's high price may hinder mass adoption.
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Hackernoon
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BC.GAME Team Compete For Top Prizes As BC.GAME ESPORTS Expands Its Line-Up
- BC.GAME plans to expand upon its first esports team, BC.GAME ESPORTS, led by world-class players.
- BC.GAME ESPORTS team will compete globally in Counter-Strike 2 (CS2) and intends to form new teams.
- The team is composed of five acclaimed CS2 players, including jkaem, who achieved a remarkable player rating.
- BC.GAME ESPORTS aims to integrate crypto and esports, unlock new experiences, and become influential in the Web3 era.
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Pymnts
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OKX Catches Crypto Regulators’ Eye Following Bybit Hack
- European cryptocurrency regulators are examining the OKX exchange following a record heist.
- The issue was discussed by regulators at a meeting of the European Securities and Markets Authority’s Digital Finance Standing Committee.
- Regulators are focusing on OKX’s Web3 service to determine its coverage under the EU’s new Markets in Cryptoassets regulations.
- Bybit, the victim of a $1.5 billion theft, reported that the stolen crypto was laundered through the Web3 platform.
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Medium
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Prototyping as a Product Manager in the AI Era: Evolving Methods and Tools
- Prototyping as a product manager has been revolutionized by AI tools, making the process more accessible, rapid, and useful.
- Prototyping bridges abstract ideas with tangible products, allowing for early testing and validation.
- Prototypes serve functions like risk reduction, enhanced communication, user-centered development, rapid iteration, and stakeholder buy-in.
- AI-powered tools have democratized prototyping, enabling higher-fidelity prototypes with less effort, rapid iteration, and bridging the gap between low and high fidelity.
- Traditional prototyping methods like paper prototyping, wireframing tools, design software, and collaborative prototyping with developers had limitations and required significant investment.
- AI-enhanced prototyping tools like Bubble.io, Bolt.v0, and Cursor offer distinct advantages catering to different needs and technical backgrounds.
- Product managers can choose the optimal prototyping method based on factors like technical comfort level, prototype objectives, available time, complexity of the solution, and collaboration requirements.
- Combining tools based on the development stage is often effective for maximizing prototyping value.
- Guiding principles for effective prototyping include starting with clear objectives, embracing iterative refinement, maintaining a learning mindset, balancing speed and fidelity, documenting insights, and involving users early and frequently.
- AI-enhanced prototyping offers a blurred line between prototype and product, enabling a truly iterative approach in product development.
- Product managers who master AI-enhanced prototyping can explore more possibilities, validate assumptions, and deliver refined products to the market successfully.
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Sdtimes
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The 2025 State of Vulnerability Management and Remediation Report
- The 2025 State of Vulnerability Management and Remediation Report highlights the risks organizations face due to vulnerable open source components.
- Outdated and unpatched libraries can compromise applications, leading to financial losses and reputational damage.
- Security teams struggle with prioritizing vulnerabilities, managing false positives, and addressing risks early in the development lifecycle.
- The report provides insights and recommendations to improve remediation efforts, including AI-driven risk prioritization and automated remediation integrated into CI/CD pipelines.
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Medium
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Surviving the Chaos: The Reality of Working for a Pre-Revenue Startup
- Working in a pre-revenue startup involves a high volume of work and unpredictable workload.
- Limited budgets and uncertain success can lead to financial strain for employees.
- Continuous change and shifting priorities can lead to disengagement and diminished creativity.
- The experience of working in a pre-revenue startup requires resilience and adaptability.
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Livebitcoinnews
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NEAR Protocol and RSS3 Partner to Boost Decentralized Web
- NEAR Protocol and RSS3 have officially partnered to strengthen the decentralized web.
- The partnership focuses on improving infrastructure and introducing LiNEAR liquid staking.
- LiNEAR staking offers users flexibility in engaging with decentralized finance (DeFi).
- The collaboration sets the foundation for future Web3 innovations and community engagement.
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Towards Data Science
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Experiments Illustrated: Can $1 Change Behavior More Than $100?
- IntelyCare, a healthcare staffing company, conducted experiments to determine the effectiveness of different referral incentive programs.
- They compared a $100 referral bonus to a $1/hr referral program, finding surprising results.
- The $1/hr program led to an 81% increase in referrals and lower costs compared to the $100 offer.
- Social incentives and timing of rewards were found to significantly impact referral behavior.
- The study highlighted the importance of understanding human behavior patterns in designing effective incentive programs.
- Behavioral science concepts such as present bias and social incentives played a role in the success of the $1/hr program.
- The results emphasized the need for continuous testing and adaptation in referral programs to optimize outcomes.
- Referral programs' effectiveness can vary based on company size, familiarity, and external factors like a global pandemic.
- The study showcased the value of leveraging behavioral science and experimentation to drive business growth and cost efficiency.
- Continuous testing and adaptation are crucial for maximizing the impact of referral programs in varying business contexts.
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Towards Data Science
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How to Develop Complex DAX Expressions
- Developing complex DAX expressions involves understanding requirements, defining calculations, and considering different scenarios.
- Flexibility in DAX measures is crucial to cater to various scenarios, as clients may require different reports based on the same logic.
- Understanding filter context is essential in DAX, as it determines the impact of filters on expression results.
- Intermediary calculations and step-by-step approach aid in comprehending and building complex DAX measures effectively.
- Starting with a table or matrix visualization helps in visualizing intermediary results before finalizing complex DAX expressions.
- Variables and defined base measures play a significant role in developing complex DAX expressions for accurate results.
- Calculating linear extrapolations requires meticulous handling of arithmetic operations and understanding of data context in DAX.
- The development process for calculated columns in DAX follows similar steps with considerations for physical storage and context transition.
- Following a structured development process for complex DAX expressions can enhance efficiency and understanding of filter context.
- Maintaining simplicity and minimizing complexity while handling complex DAX expressions is a hallmark of a proficient developer.
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Towards Data Science
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Heatmaps for Time Series
- The article discusses creating heatmaps for time series data using Matplotlib in Python.
- The data used in the article is related to measles cases from University of Pittsburgh’s Project Tycho.
- The article demonstrates how to visualize measles incidence data over time using pcolormesh() function in Matplotlib.
- Different heatmap functions like imshow() in Matplotlib are compared for creating visualizations.
- The article highlights the importance of color selection in creating informative and visually appealing heatmaps.
- It explains how color distribution in the heatmap can affect the interpretation of data.
- The process of creating a custom colormap in Matplotlib to match a specific heatmap design is detailed.
- The article discusses handling missing data and normalizing values for heatmap visualization.
- Heatmaps are described as effective tools for analyzing trends, temporal patterns, and communicating complex data effectively.
- They are valuable for comparative analysis, temporal trends, pattern recognition, and facilitating clear communication of data.
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Medium
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Clean Architecture: The Essential Developer’s Guide
- Clean Architecture is a guide that helps in designing and organizing code efficiently by preventing coupling, separating responsibilities, and maintaining modularity.
- It structures the system into layers that separate concerns and ensure dependencies point towards the core business logic.
- Mastering Clean Architecture aids in understanding and resolving common coding issues, leading to better decision-making in projects.
- View Clean Architecture as a flexible guide adaptable to project needs, allowing gradual and intelligent implementation based on context.
- The layers in Clean Architecture include Entities (Domain), Use Cases, Adapters (Presentation), and Frameworks and Drivers (Infrastructure).
- Entities layer contains the application's domain, defines key data entities, encapsulates business logic, and remains independent of frameworks or infrastructure.
- Use Cases layer focuses on application logic, orchestrating system operations, and acting as intermediaries between Entities and external layers.
- Adapters layer serves as the bridge between core system logic and the external world, adapting and translating data without adding business logic.
- Frameworks and Drivers layer deals with technical implementation details, isolating the core system from technological dependencies and facilitating integration with external tools.
- Decisions in each layer impact system functionality, with proper design ensuring maintainability, flexibility, and minimal cascading effects of changes.
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Medium
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Mastering Next.js with Clean Architecture, Redux, TDD & BDD (Part 1/6 — Introduction)
- Building a scalable, testable, and maintainable Next.js application is challenging. Without a solid architecture, technical debt quickly accumulates, making updates and testing increasingly difficult.
- This article highlights the importance of implementing Clean Architecture for a Next.js application and the issues that arise when the architecture is not followed.
- It discusses the challenges of tightly coupling the business logic, UI, and API requests in a single component, and the negative impact on maintainability, testability, performance, scalability, and error handling.
- The article also introduces the benefits of using Redux as a state manager and how it complements Clean Architecture to achieve modular and maintainable code.
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Towards Data Science
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How to Make Your LLM More Accurate with RAG & Fine-Tuning
- Large Language Models (LLMs) like ChatGPT can be enhanced with RAG and fine-tuning for improved accuracy and customization.
- RAG enables LLMs to access external knowledge sources during inference without changing internal weights, allowing for up-to-date information retrieval.
- On the other hand, fine-tuning involves training LLMs with specific data to internalize domain-specific knowledge, enhancing task-specific performance.
- RAG is useful for dynamic data retrieval and reducing computational requirements, while fine-tuning tailors LLMs for specific industries or companies.
- Combining RAG and fine-tuning in RAFT offers deep expertise and real-time adaptability by enriching LLMs with domain knowledge and external information.
- Both methods have distinct advantages: RAG for dynamic knowledge integration, and fine-tuning for stable, task-specific optimization.
- RAG and fine-tuning can be used together to extend LLM capabilities and are valuable tools in AI applications, serving complementary purposes.
- RAG requires fewer resources initially, but more during inference, while fine-tuning is resource-intensive during training but efficient in operation.
- The choice between RAG and fine-tuning depends on the level of dynamism in the data and the need for specific task optimization.
- Hybrid approaches like RAFT combine RAG and fine-tuning to leverage both methods' advantages for comprehensive LLM enhancement.
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Medium
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Fundamental Concepts of C Programming (12)
- C programming allows for passing arguments to a program from the command line using the parameters int argc and char *argv[] in the main function.
- It is crucial to handle command-line arguments carefully to prevent runtime errors by verifying the value of argc before accessing elements in argv[].
- When passing numerical values as arguments, beginners should convert the string representations in argv[] to their corresponding integer values using functions like atoi() or strtol().
- atoi() function converts a string to an integer, while strtol() function provides better error checking and allows for specifying the base of conversion.
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