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How much choice should we give users in AI-powered designs?

AI-powered designs aim to personalize user experiences, but the balance between automation and user control is crucial.
Over-reliance on automation can lead to users feeling powerless or distrustful of AI systems.
Maintaining a balance ensures that AI enhances user interactions without making them feel manipulated.
Designing AI settings that are usable and simple is essential to empower users without overwhelming them.
The ethics of providing fake user control through placebo features in AI-driven interfaces raise transparency concerns.
Case studies from Google, Twitter/X, SaneBox, and Motion demonstrate successful integration of AI while respecting user autonomy.
AI-driven UX should focus on empowering users, utilizing automation as a collaborative tool rather than a replacement for human decision-making.
The future of UX in an AI-first world will be shaped by concepts like explainable AI, ethical frameworks, and human-in-the-loop decision-making.
Designers need to ensure that AI improves user experiences and integrates automation with human-centered design principles.
In conclusion, achieving a balance between automation and user control in AI-powered designs requires careful consideration of usability, transparency, and ethical factors.

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Javacodegeeks

351

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Enabling HTTP/2 in Spring Boot with Tomcat

HTTP/2 is a major revision of the HTTP protocol that improves performance by enabling multiplexed streams, header compression, and server push.
Spring Boot, which uses Tomcat as its default embedded server, supports HTTP/2 natively.
This article explains how to enable HTTP/2 in a Spring Boot application running with Tomcat.
The necessary steps include setting up a test project, creating a simple controller for testing, generating a self-signed SSL certificate, enabling HTTP/2 in Spring Boot, and running and testing HTTP/2 support.

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Medium

159

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How Artificial Intelligence is Transforming the Future of Coding

Artificial Intelligence (AI) is transforming the future of coding, impacting both the technical and creative aspects of software creation.
AI automates processes, allowing programmers to focus on developing syntax and function, improving productivity.
While AI coding tools have made rapid advancements, human influence is still essential to ensure logical and high-quality code.
AI assistants can help programmers streamline code creation, track details, and debug code, leading to more efficient and better-quality code writing.

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Medium

118

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Fractals in Code: Exploring the Mandelbrot Set with Python

Fractals are shapes that show self-similarity at various scales, forming complex and intricate structures.
In a Julia set, the function z → z² + C is iterated to determine which values diverge and which do not.
The Mandelbrot set uses the complex axis to check which points escape to infinity and which stay bounded.
Python code can be written to explore and generate the Mandelbrot set.

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Dev

373

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Clojure Is Awesome!!! [PART 19]

Pattern matching is a technique in functional programming languages that allows you to match data against predefined patterns and trigger actions based on the match.
The core.match library in Clojure brings pattern matching capability to the language, making code more readable and maintainable.
To set up core.match, include it in your project and require it in your namespace.
Core.match offers features such as nested matching, variable binding, guards, and clarity, making it useful for handling complex structures and simplifying conditional code in projects.

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Medium

303

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The RSI + Stochastic Combo That Filters False Reversals Without Overcomplication

The goal is to catch moments when both RSI and Stochastic indicators indicate that momentum is overstretched and price might snap back.
The key lies in the sequencing of indicators, not just their overlap.
By looking for agreement around exhaustion and a subsequent bounce, traders can build light reversal signals.
The focus is on simplicity, using filters to cancel noise rather than to define the entire signal.

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Medium

259

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All about Neural Style Transfer

NST work by utilising two things: style and content. Here content refers to object, structures etc in the image and style refers to texture and colors.
Below are the categories of NST. It has not been discussed in detail as I will be covering them later.
During each iteration, the target image gradually transforms, capturing the style patterns while retaining the content structure.
The swirling effect is clearly visible in the final image. Hence we can say that the style has been transferred to the content image.

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Medium

377

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“County Laissez Faire: Preface”

The King County Fair featured a mix of farmers, tech billionaires, and the media, with a headline act by The Police and Sting.
Rumors spread of federal agents targeting liberal celebrities like Leonardo DiCaprio and George Clooney at the fair.
The event turned into a surreal mix of espionage, financial maneuvers, and theatrical crime within a carnival setting.
Criminals disguised as law enforcement committed atrocities amidst the crowd during The Police concert.
Hollywood's elite engaged in a vile competition, with celebrities participating in a literal feces-eating contest.
Paranoia and whispers of insider trading permeated the fairgrounds, leading to revelations of hidden scandals.
Fairgoers were coerced into immoral acts, with staged hostage situations and celebrity exploitation becoming entertainment.
The Biden and Trump administrations facilitated wealth consolidation and corruption, perpetuating societal decay.
Reality TV personalities, like Caitlyn Jenner and the Kardashians, capitalized on the chaos for their gain.
The fair's facade of entertainment masked a darker reality, hinting at the imminent downfall of American oligarchy.

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Javacodegeeks

118

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Spring Boot Performance with Java Virtual Threads

Java developers can now utilize virtual threads, offered by Project Loom, to handle high-concurrency applications more efficiently.
Virtual threads are lightweight alternatives to platform threads, solving the issues of high memory consumption and context-switching overhead.
Integration of virtual threads in Spring Boot applications is possible through auto-configuration or explicit setup.
Benchmark tests indicate that virtual threads reduce memory usage by 43% and improve tail latency by 4x compared to traditional thread pools.

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Dev

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Introduction to React: Understanding the Basics-part.11

Three ways to use audio and video inside React are described.
Using audio and video tags (basic HTML elements), although some browsers may have compatibility issues with certain formats.
Using NPM packages like react-player, which offers more customization and supports many formats with fallbacks for unsupported formats.
Using third-party video players such as YouTube or Vimeo, offering limited customization.

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Dev

114

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Install Red Hat Developer hub (RHDH) in a fully air-gapped Minikube environment

This guide ensures that every component is self-contained, using only the resources available on your air-gapped machine.
Download and Save Container Images (Locally)
Configure Persistent Storage for PostgreSQL
Deploy RHDH

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Medium

434

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Separate Logging for Foreground & Background Tasks: stdout vs. Logger

Pipes, denoted by the vertical bar symbol (|), are a cornerstone of Unix-like shells, streamlining complex tasks by allowing output to act as input for the next command.
Understanding the three standard streams (stdin, stdout, stderr) and employing file descriptors enable effective redirection of input and output.
Separate logging for foreground and background processes is crucial, and higher file descriptors allow managing multiple input and output streams within a script.
The combination of pipes and file descriptors in Bash facilitates the orchestration of sophisticated workflows, enhancing automation and system administration tasks.

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Medium

245

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Propagating Errors the Idiomatic Way in Rust

Rust uses a simple and powerful enum-based approach, Result, for error handling.
The ? operator is Rust's idiomatic way to propagate errors, allowing for clean and linear code.
Rust offers tools like thiserror and anyhow to create and handle custom error types.
These patterns for error propagation in Rust ensure clean, concise, and robust code.

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Medium

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I Have Really Bad Hay Fever, so I Built My Own Pollen Report to Remind Me to Take My Tablets

A hay fever sufferer developed a Python program to monitor pollen risks and remind them to take tablets.
Initially, the project aimed to fetch pollen data from Google's API and send reminder emails.
Challenges were faced due to Google's token expiration policy, prompting the need for token refresh automation.
The developer devised a method to bypass Google's authentication rules using creative token parsing techniques.
Classes were employed to structure JSON data for HTML email generation, including color-coding based on pollen level.
An algorithm was crafted to sort pollen data by color, enhancing the email's professional appearance.
The developer successfully automated the email generation process and scheduled daily execution using cron jobs.
The project highlighted the satisfaction of building without AI dependency and problem-solving through creativity.
The outcome ensures timely tablet reminders and awareness of pollen levels during the summer.
The full code for the project is accessible on the developer's GitHub repository.

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PlanetPython

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Everyday Superpowers: Why I Finally Embraced Event Sourcing��And Why You Should Too

The article discusses the author's experience with embracing event sourcing in a project involving file processing phases.
Traditional systems face challenges with data loss and inability to retroactively calculate certain metrics for processed data.
Event sourcing, a pattern storing every change as a sequence of events, enables retaining all data changes from the beginning.
Using event sourcing, the author was able to calculate file processing durations retroactively and update the status page in real-time.
Event sourcing ensures that no data is ever lost, offering a complete history of system changes.
Replaying events for entities in an event-sourced system is fast and efficient, aiding in data retrieval and analysis.
Event sourcing allows for easy adaptation to changing business needs without constraints on historical data.
The author highlights benefits of event sourcing including simplified microservice architecture, fast data views, and increased trust in data integrity.
The article encourages trying event sourcing on a small project to understand its benefits and practicality.
Event sourcing has transformed the author's approach to software development, providing a more reliable and efficient way to manage data.

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