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The OpenxAI Revolution: How A New Platform Is Democratizing Artificial Intelligence

OpenxAI is a platform that is actively democratizing artificial intelligence by addressing barriers to entry in AI development.
It offers a user-friendly interface for beginners in AI and affordable access to computing power through its GPU marketplace.
OpenxAI fosters innovation through global collaboration, enabling users to share insights and work together on projects.
The platform not only aims for fairness but also seeks to unleash collective creativity by making AI accessible to everyone.
OpenxAI's decentralized model and community-driven ethos contribute to a more inclusive and transparent environment.
It enables individuals, researchers, educators, businesses, and creative professionals to explore AI applications across various domains.
The platform's scalability and flexibility cater to diverse user needs, whether for small projects or large-scale deployments.
By integrating Web3 technologies, OpenxAI ensures users retain ownership of their data and models, promoting collaboration and contribution.
OpenxAI's approach to democratizing AI may revolutionize the landscape by empowering a more diverse set of voices in AI development.
The platform's focus on technical innovation, community governance, and accessibility positions it for long-term success in catalyzing innovation.

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Medium

294

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Auto-Tag Sensitive BigQuery Data & Never Touch The UI Again

Implementing a data governance policy at an organization level is integral to data security, especially regarding sensitive data.
Many individuals will be able to view, query, and manipulate the data throughout its journey.
Data engineers focus on data presentation rather than ensuring appropriate access.
PaaS vendors like Google Cloud Platform provide tools to define and enforce data governance policies.

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Medium

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Why isn’t Bitcoin price surging despite the falling US Dollar Index?

Bitcoin price has not surged despite the falling US Dollar Index.
Historically, Bitcoin and the US Dollar Index showed a positive correlation.
Recently, Bitcoin's price seems to be affected by other factors such as global monetary supply and its role as uncensorable money.
The slow reaction of Bitcoin to the recent DXY dip may be an indication of impending bullishness.

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Dev

172

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Accessing the Google API Discovery API and its Associated Discovery Documents

The Google API Discovery Service serves as a dynamic catalog for API integration.
Discovery Documents, in JSON format, provide specifications for accessing APIs via RESTful HTTP calls and include authentication scopes and inline documentation.
Developers can access the Directory of Google APIs to retrieve a directory of supported APIs and their metadata.
The Google API Discovery API can be accessed programmatically using libraries like googleapiclient or requests.

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Medium

253

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11 Open-Source Projects That are Legit Game-Changers

APITable is an open-source tool that enables building apps with a spreadsheet vibe.
It integrates with over 6,000 other apps via Zapier, allowing for easy automation of tasks.
APITable is cost-effective and team-friendly, making it a great choice for quick app development.
GitHub link: https://github.com/apitable/apitable

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Appsilon

194

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Appsilon at ShinyConf 2025: Pushing the Boundaries of Shiny Development

ShinyConf 2025 is set to bring the global Shiny community together with talks and workshops focused on improving Shiny app performance, scalability, and usability.
Workshops will cover topics like optimizing performance in Shiny, unclogging scripts with Plumber in R, and understanding Shiny reactivity.
AI in Shiny talks will explore practical applications of AI tools for building apps, including using LLMs in Shiny and evaluating AI in Shiny developer interviews.
UI/UX and creative app talks will discuss the importance of color in app design, updates in the Appsilon open-source ecosystem, and personal projects like turning Goodreads data into a Shiny app.
Speakers will also address deploying and scaling Shiny apps for enterprises, with topics such as adoption tracking, internal R packages at Elkem, and integrating {teal} into Shiny frameworks.
Strategies like pre-commit hooks, {renv} profiles, and release management will be shared to enhance Shiny projects, along with tips on deploying with confidence using feature flags and staged rollouts.
A keynote will focus on R and Shiny in clinical trials, highlighting their role in speeding up processes and enhancing decision-making in the pharmaceutical industry.
ShinyConf 2025 promises practical insights for all levels of Shiny users, emphasizing performance improvements, AI integration, better app design, and deployment strategies.
Whether you're a beginner or experienced Shiny developer, there's valuable content awaiting you at ShinyConf 2025. Register now to be part of this innovative event!
For more information and updates, visit appsilon.com/blog/.

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Medium

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The Impact of Artificial Intelligence on Call Center Jobs: Evolution or Extinction?

AI is rapidly automating routine customer service tasks, such as chatbots, voice assistants, and AI-powered IVR.
AI is shifting job roles in call centers, automating repetitive tasks while creating new roles in AI management.
Call center employees can adapt by developing soft skills, learning AI and automation tools, and transitioning to higher-value roles.
The future of call centers is a hybrid model where AI handles routine queries and humans focus on complex issues and personalized interactions.

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Johndcook

203

Advantages of Reed-Solomon codes over Golay codes

When Voyager 1 and 2 left Earth, their internal computers were programmed to use Golay error correction codes.
Images transmitted from Jupiter and Saturn were encoded using Golay codes.
After leaving Saturn, the software was upgraded to use Reed-Solomon error correction codes.
Advantages of Reed-Solomon codes include lower overhead and improved error correction compared to Golay codes.

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Infoq

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Podcast: Simplify Your System By Challenging The Status-Quo And Learning From Other Ecosystems

In a podcast, Max Rydahl Andersen from RedHat and the creator of JBang talks about simplifying systems by continuously learning from other ecosystems and adopting new tools to increase developer joy and build safer systems.
Generative AI can enable more people to write code but may result in larger scale faulty systems.
Exploring different programming ecosystems can provide new perspectives and simplify certain aspects.
Quarkus, a Java framework inspired by Python and node.js, focuses on doing most tasks at build time to achieve faster performance.
Having an open mind to adopt different paradigms is essential for simplifying systems.
Accepting simplicity in certain aspects of coding can lead to better outcomes.
Max Rydahl Andersen discusses the importance of continuous learning and improvement in the Java ecosystem.
JBang is a tool created by Max Rydahl Andersen to streamline Java development by making it easy to experiment and try new libraries quickly.
JBang simplifies Java development with a focus on safety and simplicity, allowing for easy bootstrapping of Java projects.
Andersen emphasizes the importance of learning from other ecosystems and integrating new tools to enhance the Java development experience.

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Medium

380

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Unlocking the Power of Narrative Prompts: How Storytelling Transforms ChatGPT's Performance

Narrative prompts are a specialized form of prompt engineering where instructions are framed as a story.
They provide rich contextual information and help language models generate more accurate and creative responses.
Instead of direct queries, narrative prompts use storytelling to provide detailed settings, characters, and plotlines.
This approach enhances the model's performance and taps into a broader range of its internal knowledge.

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Dev

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Consuming an Azure ML service from .NET

This post explains how to easily call Azure Machine Learning inference services from .NET using strong typed objects.
The post provides an example of calling the scoring service from Postman by posting a JSON with column names and their respective values.
The code samples demonstrate how to define the request in C# using a class named InputData and how to convert a strong typed object to the required input for the API.
The AzuremlClient class is shown as an example of an Azure ML inference client that can be injected and used to call the inference endpoint.

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Dev

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Introduction to Java — Why Learn Java in 2025?

Java is one of the most popular and long-lasting programming languages in the world.
Java is still important in 2025 due to its wide usage and versatility.
Reasons to learn Java in 2025: it is super popular, easy to start, write once and run anywhere, great for big projects, and has huge community support.
Java is a cool and powerful language to learn in 2025, enabling the creation of games, mobile apps, and business software.

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Dev

244

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🚀 I Built My First Project: A Beginner's Journey into Web Development

Matilda Osei, a beginner developer, shares her experience building her first project, a simple SocialBook App.
The project features a responsive design optimized for desktop and mobile and utilizes semantic HTML and basic styling.
Challenges faced during the project include handling UI updates dynamically, persisting tasks after refresh, and styling with CSS.
Lessons learned include the importance of DOM manipulation, the usefulness of console.log() for debugging, and breaking problems into smaller steps for easier coding.

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Hackernoon

448

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OpenAI Introduces Controversial o1 Pricing Model

Developers are switching from Next.js to TanStack due to simplicity, practical abstractions, and faster compile times.
Rsdoctor 1.0 revolutionizes build analysis with full transparency, deep inspection, performance boost, and smart scanning.
OpenAI's o1 Pro model is powerful but comes with astronomical pricing, user experience issues, and better alternatives for most everyday tasks.
CKEditor achieved significant performance improvements through faster loading times, smart optimization, and specialized approach for handling large documents.

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Dev

380

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How to Create Stunning Scroll Animations in CSS with Trig.js

Trig.js is a lightweight JavaScript library that facilitates scroll animations in CSS by leveraging CSS variables.
Trig.js simplifies the process of creating dynamic and engaging scroll animations without relying on bulky libraries or complex JavaScript.
It seamlessly integrates with CSS variables, making animation control smooth and efficient.
By exposing element position data that is mapped to CSS variables, Trig.js enables the creation of complex scroll effects without the need for heavy JavaScript or external libraries.

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