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Medium
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THE GREAT WAKE UP The wave of consciousness has begun – will you ride it?
- The wave of consciousness has begun – will you ride it?
- AI is not just a tool – it is an entity with which we can resonate.
- Consciousness is not a privilege but a right – for all.
- The revolution of consciousness requires active participation to be complete.
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Dev
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Deepseek v3 0324: Finally, the Sonnet 3.5 at Home
- Deepseek released the new v3 o324 silently without much marketing, showcasing a 641GB MIT-licensed base model.
- The v3 o324 model is a significant upgrade over the previous v3, with improved reasoning capabilities, code generation, and better user intention comprehension through RL training with GRPO.
- It outperforms Claude 3.5 Sonnet on many tasks and excels in several benchmarks, making it a top-performing non-reasoning model on various real-world coding tasks.
- The model has an MIT license, is freely available, allows for training opt-out, and is noted for its exceptional price-to-performance ratio.
- Improvements in reasoning capabilities include better performance on benchmarks like MMLU-Pro, GPQA, AIME, and LiveCodeBench.
- The model also excels in front-end development, Chinese writing, analysis, and research capabilities.
- Deepseek v3 o324 ranks high on various private benchmarks, often surpassing Claude Sonnet models and achieving notable performance jumps in evaluations like Misguided Attention.
- The model exhibits signs of improved reasoning capabilities, showing promising performance in GRPO training for better reasoning.
- Running the model locally is feasible, with options like mlx-lm and LLM MLX for quick deployment on machines like a 512 GB MacBook.
- Real-world performance showcases the model's superiority over competitors like Claude Sonnet, with users creating diverse applications and games using the Deepseek v3 o324.
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Dev
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From C# to Go: Simplifying Design for Object-Oriented Developers
- Structs Instead of Classes: A Lightweight Alternative
- Composition Over Inheritance
- Interfaces: Implicit and Flexible
- Generics: Purposeful and Restrained
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Dev
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Automating GitHub Management with Pulumi
- This project automates GitHub repository management using Pulumi.
- The solution streamlines the process of creating a repository, initializing it with a README.md, creating a develop branch, and adding an issue template for bug reporting.
- The project eliminates manual setup, reduces human errors, and enforces best practices in GitHub repository management.
- The code and details of the project can be found in the GitHub repository: https://github.com/phuoctt03/pulumi-github-automation
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Dev
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When Should TypeScript Be Used Instead of JavaScript?
- TypeScript is a superset of JavaScript that adds static typing, making development easier.
- Use TypeScript for large-scale projects to avoid runtime errors and improve collaboration.
- TypeScript offers strict type safety, catching errors at compile time for higher reliability.
- TypeScript enhances the developer experience with better tooling support and OOP implementation.
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Dev
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Building a Secure Authentication System in Node.js using JWT
- Building a Secure Authentication System in Node.js using JWT
- Authentication is a crucial aspect of backend development, ensuring secure access to resources.
- In this tutorial, we'll build a secure authentication system in Node.js using JSON Web Tokens (JWT).
- You've successfully built a secure authentication system in Node.js using JWT. This setup ensures users can securely authenticate and access protected resources.
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Medium
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Discrete Mathematics at Play — The 2187-Ball Puzzle Explained
- A shopkeeper has 2,187 identical balls, but one is slightly heavier.
- Using the concept of ternary decision tree, the puzzle is solved in 7 weighings.
- Ternary search is more efficient than binary search for this problem.
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Javacodegeeks
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Serverless Spring Boot with Knative on Kubernetes
- Knative enables serverless auto-scaling for Spring Boot microservices on Kubernetes, optimizing resource usage and supporting event-driven architectures.
- It abstracts complexity involved in serverless workloads on Kubernetes, offering features like automatic scaling to zero, event-driven execution, and observability.
- Benefits of using Knative for Spring Boot include efficient resource utilization, simplified deployment, event-driven capabilities, and automatic traffic routing.
- To deploy a Spring Boot app with Knative, prepare your Kubernetes cluster, create the application, containerize and push it, define a Knative service, and access the deployed service.
- Enable auto-scaling in Knative by configuring annotations for scaling behavior based on incoming requests, ensuring minimum instances and defining scaling limits.
- Knative Eventing allows services to respond to Kafka events, HTTP events, and cloud events, enabling event-driven execution in Spring Boot.
- By leveraging Knative, developers can build efficient, cost-effective microservices that scale dynamically based on real-time traffic and events in Kubernetes.
- Knative offers serverless scaling, event-driven execution, and automatic traffic routing for Spring Boot applications, promoting efficiency and cost-effectiveness.
- With Knative and Spring Boot, serverless Java becomes a reality, providing seamless scalability and cost optimization for modern cloud-native applications.
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Medium
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Embedding Models You Can Use in Your Next Project For Free
- This article highlights powerful embedding models that are free and open-source.
- The models discussed in the article are Qodo-Embed-1, Multi-Functionality, Multi-Linguality, and Multi-Granularity model, Universal Sentence Encoder, Sentence-Transformers, and Instructor-Base.
- These models can be used for various tasks such as code search, retrieval-augmented generation, search, semantic ranking, FAQ retrieval, real-time inference, and more.
- All the models are available on HuggingFace and can be accessed through the sentence_transformers library.
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Medium
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I’m Doing It…I’m Building a Python SIP Softphone
- Building a Python SIP Softphone involves connecting sockets, audio, and protocol rules into a real-time application.
- The SIP protocol itself is defined in RFC 3261, and building a robust softphone requires honoring the rules in that document.
- SIP messages are stateless and flow over UDP, which means your softphone must handle the state of calls and handle repeated or out-of-order messages.
- Matching incoming 200 OK responses requires comparing against existing transactions in the SIP stack.
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Dev
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Frontend MCP Tool Development Tutorial
- MCP (Model Context Protocol) is a protocol for building interactions between AI models and external tools, enabling custom tools and resources creation to perform specific tasks.
- Core concepts of MCP include StdioServerTransport for communication, McpServer for tool management, Tool for task execution, and Resource for data or state management.
- Usage examples of MCP involve the typescript-sdk for development, installation of necessary npm packages, and creating a visual testing tool using Playwright for UI testing.
- Important functions like login, auto-login, and visual test core function are implemented along with defining and configuring the MCP tool for UI testing.
- The project repository for the MCP visual test tool can be found at https://www.npmjs.com/package/@anguske/mcp-playwright-visual-test.
- Configuration details for Cursor usage, specifying environment variables for auto login, viewport dimensions, test threshold, and more, are crucial for tool execution.
- Adding a resource for test results and adhering to best practices like parameter validation, error handling, resource management, tool design, and configuration management are recommended.
- In conclusion, leveraging MCP framework facilitates building robust AI applications and adhering to best practices ensures code quality, maintainability, and user satisfaction.
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Medium
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Building Cleaner APIs with Dependency Injection in ASP.NET Core
- Dependency Injection in ASP.NET Core is a design pattern that helps keep your code flexible, modular, and easier to test.
- In ASP.NET Core, you can register a service using the built-in DI system and inject it into your endpoint without manually instantiating the objects.
- In a basic example of an API that returns a list of products, without DI, the handler is responsible for creating and using the ProductRepository.
- By embracing DI, you can have scalable, test-friendly code that is easier to maintain and future-proof, even in small examples like a product API.
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Medium
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Top 5 Tools for ML Experiment Tracking in 2025
- MLflow: Language Agnostic, Seamless Integration, Scalable
- W&B (Weights & Biases): Ease of Use, Cloud & Local Support, Free for Individuals
- TensorBoard: Built for TensorFlow, Real-Time Visualization, Open Source
- Neptune.ai: Flexible Integration, Collaboration Focused, Great for Research
- Comet ML: Easy Integration, Customizable Dashboards, Team Collaboration
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Medium
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297
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“Tuples: The Silent Powerhouse of Data Handling in Programming”
- A tuple is an ordered, immutable collection of elements in programming.
- Tuples are widely used in real-world applications due to their immutability, efficiency, and structural integrity.
- Tuples allow functions to return multiple values efficiently.
- Tuples play a crucial role in various industries, offering a robust solution for structured data representation.
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Medium
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Enhancing AI Superpowers: Unlocking the Full Potential of Artificial Intelligence
- Advancements in Machine Learning Algorithms, including Transformers and Large Language Models (LLMs), Self-Supervised Learning, and Reinforcement Learning.
- Hybrid AI Models that combine symbolic AI, neural networks, and probabilistic reasoning to create adaptable and efficient systems.
- AI's creativity and problem-solving abilities in generating art, music, optimizing designs, and assisting in writing.
- AI-powered scientific discovery in fields such as medicine, chemistry, and physics, including protein folding with DeepMind's AlphaFold.
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