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  1. Top 5 AI-Based Code Editors for Coding in 2025 - DEV Community

    The article covers:
    ➡️ VSCode
    ➡️ Cursor
    ➡️ Tabnine
    ➡️ Amazon CodeWhisperer
    ➡️ JetBrains AI Assistant

    dev.to/aneeqakhan/top-5-ai-bas

  2. How to Use Wireshark Filters to Analyze Your Network Traffic

    This tutorial covers both foundational and advanced skills in using Wireshark:
    ➡️ Wireshark is a leading network protocol analyzer for capturing and dissecting packets.
    ➡️Wireshark filters dramatically reduce analysis time by isolating relevant packets.
    ➡️Mastering filter syntax enables identification of unusual traffic patterns and security threats.

    freecodecamp.org/news/use-wire

  3. Elon Musk has merged X (formerly Twitter) with xAI in an all-stock deal, valuing the combined entity at $113 billion. This merger promises to leverage advanced AI capabilities and distribution. Almost certainly this AI will be trained on X posts, resulting in an extremely biased AI. Just another step towards Elon's pipe dream.

    decrypt.co/312221/elon-musk-x-

  4. claims to revolutionize 3D scene generation by directly creating renderable 3D representations from one or more images. It achieves unprecedented speed and quality without requiring computationally expensive optimization or augmentation steps.

    arxiv.org/abs/2503.14445v1

  5. The article offers a fresh perspective on improving AI data reliability by using Decentralized Physical Infrastructure Networks (DePINs):

    ➡️By using blockchain, DePINs create secure, verifiable real-world data streams for AI systems.
    ➡️Applications range from smart farming to bridges that predict stress.

    hackernoon.com/ai-is-running-o

  6. Takeaways:
    ➡️ User time is the ultimate currency: respect it by crafting intuitive and efficient interfaces.
    ➡️ Simplify complex tasks through step-by-step processes and on-demand details.
    ➡️ Leverage familiar design patterns to reduce mental effort and boost intuitiveness.
    ➡️ Provide immediate feedback.
    ➡️ Simplify choices to prevent analysis paralysis.

    hackernoon.com/sneaky-ux-trick

  7. FediOnFire was a hobby project designed to showcase a firehose of public statuses across the Fediverse. Developed by Roni Laukkarinen (@rolle), it aimed to highlight the diversity of the network. Unfortunately, some community members misinterpreted and discredited the project, which led to ugly backlash and resulted in its shutdown.

    wedistribute.org/2025/02/fedio


  8. DeepSeek R1: All you need to know 🐳

    The article covers various aspects of the model, from its architecture to training methodologies and practical applications. The explanations are mostly clear and detailed, making complex concepts like Mixture of Experts () and reinforcement learning easy to understand.

    fireworks.ai/blog/deepseek-r1-

  9. Apparently AI reasoning models like Deepseek-R1 and OpenAI o1 suffer from "underthinking", where they abandon promising solutions too quickly, leading to inefficient resource use. To address this, a "thought switching penalty" (TIP) was developed, which improved accuracy across math and science problems.

    the-decoder.com/reasoning-mode

  10. Brief analysis of DeepSeek R1 and its implications for Generative AI:
    ➡️ DeepSeek R1 exhibits powerful reasoning behaviors, achieved through scalable Group Relative Policy Optimization (GRPO).
    ➡️Emergent self-reflection and Chain-of-Thought (CoT) patterns improve reasoning performance.
    ➡️Distillation of larger models into smaller, efficient ones demonstrates significant performance improvements.

    arxiv.org/abs/2502.02523v2?for

  11. Key Points:
    ➡️ JavaScript does not natively provide an API to cancel a regular Promise.
    ➡️ Promise.withResolvers() returns an object with a new Promise and functions to resolve or reject it.
    ➡️ Cancelable tasks can be created using Promise.withResolvers() by exposing a cancel method.
    ➡️ AbortController can also be used to cancel tasks in JavaScript.

    webdeveloper.beehiiv.com/p/can

  12. models:
    ➡️ offers versatile development assistance with advanced pattern recognition and infilling capabilities.
    ➡️ Qwen 2.5 Coder transforms debugging by providing intelligent solutions to root causes.
    ➡️ WizardLM2 excels in rapid prototyping and multilingual development.
    ➡️ Mistral 7B is a lightweight model that delivers impressive performance with efficient architecture.

    insights.codegpt.co/best-ollam

  13. Key Points:
    ➡️ ESM3 is a generative language model that reasons over the sequence, structure, and function of proteins.
    ➡️ It can generate functional proteins far from known proteins, simulating 500 million years of evolution.
    ➡️ It can generate fluorescent proteins with a chain of 'thought'.
    ➡️ ESM3 is trained at three scales: 1.4B, 7B, and 98B parameters.

    astrobiology.com/2025/01/simul

  14. Key Points:
    ➡️ PromptWizard automates and simplifies prompt optimization through feedback-driven refinement, joint optimization, and self-generated chain-of-thought steps.
    ➡️ It combines iterative feedback from LLMs with efficient exploration and refinement techniques.

    microsoft.com/en-us/research/b

  15. Key Points:
    ➤ A quite popular prompts directory
    ➤ Support for various AI platforms like , , , , ,
    ➤ Has prompts for different roles and tasks like academician, accountant, composer, developer, and more
    ➤ You can contribute your own prompts to the collection

    prompts.chat/

  16. The paper presents the Zuchongzhi 3.0 quantum processor, which sets a new benchmark in quantum computational advantage with its 105 qubits. The study looks well-designed, with consistent and reproducible results. The findings suggest that this processor represents a significant advancement in the field of quantum computing.

    arxiv.org/abs/2412.11924

  17. Key Points:
    ➡️ Using a Python venv in a Docker container ensures homogeneity and reduces complexity.
    ➡️ It prevents conflicts between system libs and project deps.
    ➡️ Even minimal images benefit from venvs due to the ever-changing ecosystem.
    ➡️ Venvs are cheap and offer a high ROI.
    ➡️ They help maintain a consistent dev environment.

    bitecode.dev/p/yes-you-should-

  18. Explore New, Updated, Trending, Most Downloaded, and Top Rated Obsidian Plugins:

    ➡️ New scoring system for Obsidian plugins based on project metrics, user engagement, and activity.
    ➡️ Over 750 new plugins released in 2024, enhancing creativity and productivity.
    ➡️ Trending plugins include Immich, Post Webhook, and Pexels Banner.
    ➡️ Most downloaded plugins: Excalidraw, Dataview, and Advanced Tables.

    obsidian-plugin-stats.ganesshk

  19. The C# packages of the Godot open source game engine are moving to .NET 8 with the release of Godot 4.4. This means projects must target .NET 8 or newer to be compatible. Existing projects will auto-upgrade to .NET 8. Older versions of Godot will continue to target .NET 6.

    godotengine.org/article/godots

  20. JavaScript Visualized - Promise Execution - by Lydia Hallie (Software Engineer and Technical Content Specialist)

    A dive deep into some of the inner workings of promises and an exploration how they enable non-blocking asynchronous tasks in JavaScript.

    lydiahallie.com/blog/promise-e

  21. Python's pathlib module - @treyhunner:
    ➡️ pathlib simplifies file path operations in Python.
    ➡️ It offers methods for reading, writing, and manipulating paths.
    ➡️ pathlib ensures cross-platform compatibility.
    ➡️ It replaces older modules like os.path and glob.
    ➡️ Use pathlib for more readable and maintainable code.

    pythonmorsels.com/pathlib-modu

  22. Quantum Computers Cross Critical Error Threshold | Quanta Magazine

    By adding more physical qubits, they improved the resilience of logical qubits, crossing a critical error threshold. This advancement brings us closer to practical quantum computers, capable of performing complex calculations with high accuracy.

    quantamagazine.org/quantum-com

  23. Guid Version 7 in .NET 9 introduces a new way to generate globally unique identifiers (GUIDs) based on timestamps and randomness, making them more suitable for relational databases. Unlike the non-sequential GUID v4, GUID v7 reduces index fragmentation, improving database performance.

    okyrylchuk.dev/blog/guid-versi

  24. How to write declarative TypeScript Code?

    Key Points:
    ➡️ Declarative programming focuses on defining the desired outcome rather than the specific steps to achieve it.
    ➡️ It simplifies code by abstracting control flow and state management.
    ➡️ Example of imperative: Manually iterating over an array to filter even numbers.
    ➡️ Example of declarative: Using the filter function to achieve the same result.

    typescript.tv/hands-on/how-to-

  25. Node.js — Node v23.0.0 (Current)

    Key Points:
    ➡️ Node.js 23 is now the 'Current' release, replacing Node.js 22.
    ➡️ Native ES module loading with require() is enabled by default but still experimental. Users can disable this feature with --no-experimental-require-module if needed.
    ➡️ Various installers and binaries for different platforms are available.

    nodejs.org/en/blog/release/v23

  26. Memory Management in JavaScript with Weak References

    This JSDev article shows advanced memory management using WeakRef and FinalizationRegistry. It explains how these help manage weak references and asynchronous object finalization, preventing memory leaks and efficiently handling resources. The article includes various examples and use cases. It's too bad the last example is buggy. (line 3)

    jsdev.space/memory-management-

  27. MIT spinoff Liquid debuts small, efficient non-transformer AI models

    Liquid AI, a startup by ex-MIT researchers, has launched its Liquid Foundation Models (LFMs), which outperform transformer-based models like Meta's Llama and Microsoft's Phi in speed and memory efficiency. A full launch event is set for October 23, 2024.

    venturebeat.com/ai/mit-spinoff

  28. These Mini AI Models Match OpenAI With 1,000 Times Less Data

    Jason Dorrier discusses the AI industry's focus on scaling up models, and contrasts this with the Allen Institute for AI's (Ai2) approach of creating efficient, smaller models like Molmo.
    Molmo outperforms larger models using high-quality data and is open-source.


    singularityhub.com/2024/10/04/

  29. A new quantum computer breaks Google's quantum supremacy record by 100-fold

    's new 56-qubit H2-1 quantum computer has surpassed Google's by achieving a 100-fold improvement in error correction performance.

    This was achieved by using the Random Circuit Sampling algorithm.

    techspot.com/news/103802-new-q

  30. SVG Repo - Free SVG Vectors and Icons

    Search, explore and edit the best-fitting icons or vectors for your projects using;
    ➡️ ML-Powered Search: Utilize machine learning to find suitable vectors
    ➡️ Basic Editing: Make: simple changes to icons or vectors without design software

    svgrepo.com/

  31. 7 ways that quantum computing is making an impact in the real world

    Startups are figuring out what the technology could be used for:

    ➡️Finance
    ➡️Pharmaceuticals
    ➡️ Weather Forecasting
    ➡️ Battery Design
    ➡️ Smart Power Grids
    ➡️ Routing Optimization
    ➡️ Manufacturing

    sifted.eu/articles/seven-appli

  32. Checking for an empty list in Python - Python Morsels (@treyhunner)

    Various methods to check if a list is empty in Python:
    ➡️ checking the list's length,
    ➡️ evaluating the list's truthiness
    ➡️ comparing the list to another empty list

    pythonmorsels.com/checking-for

  33. Learn JavaScript Reactivity: How to Build Signals from Scratch

    An explanation of reactivity and signals in JavaScript with a focus on how they enable UI updates in response to data changes. The article also covers:
    ➡️reactivity frameworks
    ➡️a step-by-step guide to implementing signals from scratch using the Pub-Sub pattern.

    freecodecamp.org/news/learn-ja

  34. Privacy and Consent for Fediverse Developers: A Guide

    About the importance of privacy and consent for developers in the .
    The article highlights:
    ➡️the need for clear communication
    ➡️best practices
    ➡️mechanisms that empower users
    ➡️principles of consent
    ➡️the challenges of opt-in and opt-out mechanisms
    ➡️the significance of user feedback and competitive advantages in creating a user-friendly environment.

    wedistribute.org/2024/07/fediv

  35. Embracing Functional Programming in C# - CodeProject

    An exploration of the benefits of **functional programming in C#**. The article covers code readability, efficiency, and unit testing. Other highlights are the challenges of state mutation, the importance of immutability, and the concept of pure functions.

    codeproject.com/Articles/53767

  36. Modern Good Practices for Python Development

    An outline of best practices for development, including using tools like , or Development Containers for managing Python versions. It also recommends using pyproject.toml for project configuration, virtual environments for package management, and tools like Black, , and for code formatting, linting, and testing.

    stuartellis.name/articles/pyth

  37. AlexBuz/llama-zip: LLM-powered lossless compression tool

    Leverages a user-provided LLM (large language model) as the probabilistic model for an arithmetic coder. This achieves high compression ratios on structured or natural language text, since few bits are needed to encode tokens that the model predicts with high confidence.

    github.com/AlexBuz/llama-zip

  38. How to Request a REST API in Common Lisp

    This blog post introduces a new video tutorial on how to request a REST API using Common Lisp. It covers creating a full-featured project, studying the GitHub API, and building a command-line application. The tutorial uses libraries like Dexador for HTTP requests and Shasht for JSON handling.

    lisp-journey.gitlab.io/blog/ne

  39. Python at the Speed of Julia - Glass Notebook

    The article explores various methods and tools that can be utilized to enhance Python’s execution speed without sacrificing its simplicity and readability.

    glassnotebook.io/r/dxJTYbJBmPR

  40. Bluesky backs a project that would let Mastodon apps, like Ivory, work with its network.

    Social networks and may soon be accessible from within a single app. BlueSky is backing a project that would connect — or “bridge” — Mastodon requests into Bluesky requests so that consumer apps, like , would be compatible with Bluesky, too.

    techcrunch.com/2024/04/25/blue

  41. Python Big O: the time complexities of different data structures in Python

    A time complexity cheat sheet for those who already understand what time complexity is and how the time complexity of an operation might affect your code.

    pythonmorsels.com/time-complex

  42. is a project that lets you allow scientific computing tasks to run on your computer in the background. It’s similar to projects like SETI@Home, but more general. The project is based at UC Berkeley and supported by the

    boinc.berkeley.edu/index.php

  43. Building a Plugin Architecture with Managed Extensibility Framework.

    Incorporating extensibility features into a software system itself may not be inherently challenging. What proves more intricate is the discernment, assessment, or anticipation of when it is opportune and beneficial to introduce such extensibility points.

    codeproject.com/Articles/53794

  44. Universal and Transferable Attacks on Aligned Language Models

    The article demonstrates that it is possible to automatically construct adversarial attacks on LLMs by appending specifically chosen character sequences to the user query.

    llm-attacks.org/

  45. Scientific Python Lectures

    on the scientific ecosystem: a quick introduction to central tools and techniques. The different chapters each correspond to a 1 to 2 hours course with increasing level of expertise, from beginner to expert.

    lectures.scientific-python.org/


  46. What's New in .net 8

    ➡️ Performance
    ➡️ Cloud Native
    ➡️ ASP .net Blazor Full Stack
    ➡️ Artificial Intelligence
    ➡️ .Net MAUI

    Announcing .NET 8 - .NET Blog devblogs.microsoft.com/dotnet/

  47. The Daily : Curious Perversions in Information Technology

    Founded in 2004 by Alex Papadimoulis, The Daily WTF is a how-not-to guide for developing software. It recounts tales of disastrous development, from project management gone spectacularly bad to inexplicable coding choices.

    thedailywtf.com/