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Johndcook

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Computing the Euler-Mascheroni Constant

The Euler-Mascheroni constant can be computed by evaluating an equation with a large n, but convergence is slow and rounding errors accumulate.
A more efficient approach involves adding an extra factor of ½ in the log term, which converges faster to the Euler-Mascheroni constant.
Comparing the two methods, the error in the first method with n = 4000 is similar to the error in the second method with n = 16.
Software like y-cruncher has been used to set world records for computing constants like π and the Euler-Mascheroni Constant, which is particularly challenging to compute.

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Dev

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MCP Custom Server Tools + Amazon-Q. How to ...?

The post discusses how to implement and use MCP tools with Amazon-Q or any other client, building upon the MCP custom server setup.
MCP Server tools function as primitives to expose executable functionality to clients, enabling the server to execute specific tasks requested by clients.
The example in the post demonstrates adding a new capability of tools to a custom server connected to Amazon-Q, allowing the generation of image files from flowcharts using mermaid.js API.
The process involves creating a tool named 'flow-chart' that takes inputs and generates image files from mermaid markdown, showcasing the power and potential of utilizing MCP protocol and custom servers for enhanced functionalities.

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Dev

247

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My Cloud & DevOps Journey Begins

A Bachelor's degree student is embarking on the final year of studies and has decided to focus on Cloud and DevOps for the next 4 months.
After exploring various fields like Web Development, Machine Learning, and Blockchain, the student has chosen Cloud and DevOps for their excitement in bringing code to the real world.
The student aims to master engineering skills in spinning up global infrastructure, solving deployment issues, automating workflows, and working with containers and cloud services.
The student's 4-month mission includes building real-world projects, learning through hands-on experience, obtaining certifications, and documenting the journey publicly on Dev.to.

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Xbox

Keeper: Double Fine’s Otherworldly Adventure, Arriving October 17

Keeper, a new game from Lee Petty and Double Fine Productions, was revealed at the Xbox Games Showcase 2025.
The game will be available on Xbox Series X|S, Xbox PC, Xbox Cloud, Steam, and Game Pass on October 17, 2025.
Keeper is a third-person adventure focused on exploration, puzzle solving, and surreal elements, set in a post-human world.
The game features a story told without words and revolves around a Lighthouse with unexpected abilities in a mystical setting.
As the Lighthouse embarks on a journey towards a distant mountain, it forms a bond with a spirited seabird to confront challenges.
Lee Petty, the Creative Lead behind Keeper, aimed to create an atmospheric experience that blurs genres and emphasizes player immersion.
The game's development was influenced by the global pandemic, with themes of isolation and companionship playing a significant role in its creation.
Keeper promises an otherworldly and reality-bending adventure full of surprise, absurdity, and psychedelic moments.
Players can expect an atmospheric, unique, and engaging experience when Keeper launches on October 17, 2025, across various platforms.
With elements of mystery, exploration, and companionship, Keeper offers a surreal and delightful journey into the unknown.

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Tech Radar

260

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People are using ChatGPT to write breakup texts and I fear for our future

People are using AI like ChatGPT to help in various aspects of life, including dating and emotional support.
A man at a deli was overheard using ChatGPT to craft texts for dating, showing how AI is becoming integrated into personal interactions.
He used ChatGPT to send breakup texts, highlighting a new, AI-powered method of communicating sensitive messages.
The man used ChatGPT to create breakup texts with warmth and clarity, avoiding ghosting and ensuring closure for the recipient.
Although the approach may seem lazy or impersonal, using AI for breakup texts can be seen as a considerate alternative to ghosting.
The use of AI in personal relationships raises questions about the authenticity of feelings and communication.
While AI may assist in crafting messages, it also introduces artificiality into emotional interactions.
The man's reliance on ChatGPT for breakup texts sparked reflections on the impact of technology on human emotions and communication.
This incident underscores the evolving role of AI in shaping human relationships and social interactions.
Using AI for personal matters like breakup texts prompts discussions on the boundaries and ethics of technology in emotional contexts.

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Dev

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How I Built a Multi-Country HIV Data Collection System Using the Microsoft Power Platform

Wisdom Hove, a Power Platform Consultant and Azure Developer Associate, built a multi-country HIV data collection system for the Southern African Development Community (SADC) using the Microsoft Power Platform.
Selected Microsoft Power Platform for rapid development, integration, and deployment, utilizing Power Apps, Power Automate, Dataverse, Power BI, and Azure Logic Apps.
Implemented role-based model-driven apps, structured data storage in Dataverse, automated workflows for data validation, and provided real-time health data collection across 12+ countries.
Achieved outcomes including reduced reporting time, empowerment of health workers with user-friendly tools, and contribution to regional HIV/AIDS program visibility and funding justification.

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Knowridge

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MIT physicists discover a new kind of magnetism that could power the future of computing

MIT researchers have discovered a new form of magnetism called p-wave magnetism, which could revolutionize computing technologies.
The new type of magnetism, observed in nickel iodide, blends features of ferromagnets and antiferromagnets and can be controlled electrically.
This discovery could lead to the development of ultra-fast, energy-efficient spintronic devices that use the spin of electrons to store and process information.
While the behavior only appears at very low temperatures currently, researchers are optimistic about finding materials with similar properties that work at room temperature in the future.

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Jamiemaguire

Building an AI Home Security System Using .NET, Python, CLIP, Semantic Kernel, Telegram, and Raspberry Pi 4 – Part 3: Creating a Local AI Custom Vision API for Training and Matching Images

This article is part of a miniseries on building an AI home security system and cross-platform solution.
The system's main requirements include motion detection, photo capture, messaging, and facial recognition.
The .NET API implemented in this blog post provides endpoints for training and matching images using CLIP.
The API encapsulates image processing and recognition logic for extensibility and ease of integration.
Core functionalities of the API include getting vector embeddings, calculating cosine similarity, and finding the best match.
API controller endpoints allow training the system with images and labels, as well as matching incoming image data.
Testing the controllers and API can be done using tools like Postman to ensure functionality.
The system matches incoming images with trained embeddings to determine if a match is found.
The .NET API simplifies consumption of AI functionalities on Raspberry Pi, enhancing maintainability.
Future plans in the series include extending the Telegram bot for managing embeddings and invoking APIs remotely.

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Dev

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DynamoDB with Enhanced Client - Schemas and data serialization made easy

DynamoDB, a NoSQL Database offered by AWS, provides flexible schema, but controlling schema is important to avoid chaos.
The AWS SDK-v2 for Java includes an EnhancedClient API for strict table schema setup and data serialization.
The article discusses setting up the EnhancedClient API for DynamoDB local using a Spring Boot project.
Endpoints like POST /api/v1/book, GET /api/v1/book/id, GET /api/v1/books, and GET /api/v1/books/year/{year_published} are implemented.
A document structure for the Books table includes fields like id, author, genres, yearPublished, and more.
Codes for setting up the EnhancedClient, Bean, and TableSchema in Java are provided for handling schema and data serialization.
The EnhancedClient API allows fine control over the schema and robust data handling in DynamoDB.
A service class BookService is created to power the APIs for operations like adding a book, fetching all books, and querying books by year published.
The article showcases how EnhancedClient API simplifies data serialization and schema definition, ensuring consistency and ease of development.
The controller in the application handles requests by delegating them to the service layer, demonstrating a clean architecture setup.
Using EnhancedClient API streamlines data management in DynamoDB, offering a balance between data serialization control and schema flexibility.

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Dev

274

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Building Scalable Cloud Infrastructure with Terraform on AWS

Aspiring or experienced DevOps engineers in 2025 often struggle to showcase real, scalable cloud infrastructure in their portfolios.
To stand out, it is recommended to build realistic infrastructure using Terraform, follow best practices, and showcase work through GitHub and public documentation.
A modular AWS VPC infrastructure was built using Terraform and AWS in the ap-south-1 region, including custom VPC, public subnets, and a clean Terraform structure.
Readers can leverage the provided code repository, deploy the infrastructure on AWS, and explore upcoming topics like Internet Gateway, EC2 Module, Security Groups, and more in the series.

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Insider

300

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Nvidia's competitors are gaining traction in these key industries

Startups are challenging Nvidia's dominance in the AI chip market, particularly for high-frequency trading and sovereign AI projects.
Efforts are being made to find more efficient and cost-effective solutions compared to Nvidia's expensive chips with immense power requirements.
While Nvidia still holds a dominant market share, competitors claim superior performance, speed, energy efficiency, and cost advantages.
Industries such as high-frequency trading and ad targeting are turning to alternative chip architectures for specific workloads.
Firms like SambaNova Systems and Etched are entering the chips market with offerings tailored for high-value use cases, such as transformer models for chatbots and private computations for HFT firms.
AI chips are becoming crucial for sectors like ad targeting, content recommendations, and sovereign clouds, prompting diversification away from Nvidia.
Companies investing in AI tools are also exploring alternatives like AMD's GPUs and newer entrants like Cerebras, SambaNova Systems, and Qualcomm.
The competition in the inference market is intensifying, with startups focusing on offering their own data centers for inference services alongside chip sales.
Despite the potential advantages of non-Nvidia chips in terms of efficiency and cost savings, companies are hesitant due to the risk of commitment and the flexibility of GPU technology.
The evolving market dynamics and varying demands across industries present both challenges and opportunities for Nvidia's competitors in the AI chip sector.

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Tech Radar

252

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Gamers, let's not pretend PS Plus and Xbox Game Pass multiplayer subscriptions are okay – they're exactly why PC gaming is arguably cheaper in the long term

Gaming PC hardware is more expensive than consoles, but playing games on PC is ultimately cheaper due to access to affordable game deals and marketplaces like Epic Games Store and CD Keys.
Console multiplayer subscriptions like PS Plus and Xbox Game Pass add significant costs for online gaming that PC gamers usually avoid, making PC gaming a potentially more cost-effective option in the long run.
Console gamers have become accustomed to paid multiplayer subscriptions, but the normalization of this model raises questions about the fairness of charging extra for online play.
While console games often maintain high prices even years after launch, PC players benefit from regular discounts and promotions on platforms like Steam.
PC gaming offers a wider selection of affordable games compared to consoles, where pricing strategies tend to keep game costs higher for longer periods.
The article contrasts the expense of high-end PC hardware with the ongoing costs of console gaming, highlighting the potential long-term savings of PC gaming despite higher upfront investments.
The criticisms extend to the PS Plus and Xbox Game Pass subscription models, pointing out the additional costs they impose for multiplayer access on consoles compared to PC gaming.
PC players have the advantage of exploring various game options without being tied to subscription services like Game Pass, emphasizing the flexibility and affordability of PC gaming.
Building a gaming PC may initially involve high hardware costs, but in the long run, PC gaming can offer cheaper gameplay experiences without the paywalls imposed by console multiplayer subscriptions.

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Siliconangle

146

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Beyond walled gardens: How Snowflake navigates new competitive dynamics

Snowflake is evolving by embracing open data and expanding its governance model into an open data ecosystem while enhancing its simplicity message and governance strategy.
The company is focusing on Systems of Intelligence (SOIs) to become a high-value part of the artificial intelligence-optimized software stack.
Snowflake's shift from an analytic warehouse to enabling intelligent data apps is highlighted, signaling a strategic pivot.
The company is improving its platform to cater not only to traditional analytic workload customers but also data engineering and data science personas.
Snowflake's post-garden strategy aims to turn cooperative openness into control of the System of Intelligence layer, facing competition from various application vendors.
The industry is shifting towards Systems of Intelligence, reframing competitive debates and emphasizing the integration of analytics with operational applications.
Snowflake's strategic focus is on binding analytic insight to operational action before competitors to secure a strong position in the System of Intelligence layer.
The company's Snowflake Summit 2025 introduced various features aligning with an engagement-intelligence-agency model, aiming to expand its total addressable market.
Snowflake's approach includes simplifying data access, extending governance, enhancing data pipelines, and focusing on offering a comprehensive AI application framework.
Snowflake's key challenges include reclaiming data engineering workloads, closing the ingest gap with competing connectors, and solidifying its position in the System of Intelligence high ground.
The company is navigating towards securing control of the rich, governed knowledge graph essential for success in the agent-driven future where enterprise value lies.

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Guardian

372

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UK ministers delay AI regulation amid plans for more ‘comprehensive’ bill

UK ministers have delayed proposals to regulate artificial intelligence to introduce a more 'comprehensive' AI bill in the next parliamentary session.
The new AI bill will address concerns about safety, copyright, and issues related to large language models such as ChatGPT.
Labour's plans for a narrowly drafted AI bill have been delayed, with ministers aiming to align with US administration and include copyright rules for AI companies in the new bill.
The government is facing backlash over copyright rules in a separate data bill but plans to publish economic impact assessments and establish a cross-party working group on AI and copyright issues.

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Medium

Auto-Healing Azure Integrations with Scheduled Retries in Service Bus + Azure Functions

Transient failures in downstream systems led to the need for a controlled, scheduled retry mechanism in an Azure integration project.
The solution involved implementing an auto-healing pattern using Azure Service Bus for scheduling retries and Dead Letter Queue (DLQ) support, along with Azure Functions for message processing.
The high-level retry flow included incrementing retry count on transient failure, scheduling re-queued messages with a delay, and moving messages to DLQ after reaching the maximum retry limit.
This approach, which leveraged Azure Service Bus and Azure Functions, provided a serverless, cost-effective, and Azure-native pattern to improve resilience in message processing flows.

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