Twitter now requires users to have an account in order to view tweets, meaning that if you're not logged in, you'll be prompted to sign in.
This change could be a tactic to try to increase Twitter's user base, but it could also backfire by potentially reducing the visibility of tweets on search engines like Google.
Elon Musk, who was previously CEO of Twitter but still involved in operations, may be motivated by a desire to prevent AI tools from searching Twitter.
Twitter now requires an account to view tweets due to concerns about extreme levels of data scraping from the platform.
Users and experts are discussing the ethics, legality, and ownership of user-generated content on social media platforms, as well as the need for regulations and compensation models.
The move by Twitter and other social media platforms to implement restrictions and monetize their services has led users to explore decentralized and open-source alternatives for social media and forums.
MdBook is a command line tool that helps create books with Markdown, making it easy to create product or API documentation, tutorials, and course materials.
It has features like integrated search support, color syntax highlighting for code blocks, and customizable theme files for formatting the output.
MdBook is written in Rust, which ensures speed, safety, and simplicity, and it is used by the Rust programming language project.
MdBook is a command line tool used to create books with Markdown.
It is ideal for creating product or API documentation, tutorials, course materials, or anything that requires a clean, easily navigable, and customizable presentation.
MdBook is lightweight, easy to install, and has integrated search support, color syntax highlighting for code blocks in various languages, and the ability to render output in multiple formats.
It has been used by the Rust programming language project, and The Rust Programming Language book is an example of mdBook in action.
MdBook is actively maintained and has an active community of contributors.
The post discusses the author's experience building an algorithmic trading system using Go, emphasizing the importance of a solid platform for strategy implementation.
The post raises questions about the allocation of top talent to fintech and advertising rather than socially beneficial endeavors, highlighting the susceptibility of the trading industry to scams.
The benefits of using Go for algorithmic trading are showcased, despite it not being the most widely used language, and the importance of risk management and the limitations of individual trading strategies are discussed.
The article explores algorithmic trading with Go and provides practical insights into its development and implementation.
The author discusses the challenges and complexities of algorithmic trading, including managing risk and understanding market jargon.
The impact of high-frequency trading (HFT) on the market is discussed, highlighting its benefits in terms of liquidity provision and cost reduction, as well as the importance of competition among exchanges and market participants.
The proposal suggests removing LLVM, Clang, and LLD libraries from the Zig project.
Zig plans to implement its own optimization passes and attract contributions from chip manufacturers to improve machine code.
While the removal of C++ compilation capabilities may impact some projects, Zig aims to have a contributor-friendly IR and a more lightweight compiler binary.
The Zig programming language is considering moving away from its dependency on LLVM, which has raised concerns among users.
Some users believe that removing support for C++ and Objective-C in Zig could hinder its popularity and adoption.
There are concerns about the potential loss of performance and the resources required to build and maintain a new compiler backend for Zig if it moves away from LLVM.