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The Coldware Surge

Ethereum's price falls below critical support levels, investors turn to Coldware (COLD) as an alternative.
Coldware (COLD) offers a seamless and scalable solution for decentralized applications, attracting investor interest.
Ethereum faces market challenges and struggles to regain momentum.
Coldware (COLD) gains traction with its presale, positioned to outperform Ethereum in the future.

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Tech Radar

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Google Messages could soon follow WhatsApp with an upgrade that makes it much easier to join group chats

Google Messages could soon make it easier for users to join group chats just by clicking on a link.
Evidence found in the beta version of Google Messages suggests the upcoming 'join via link' feature.
This update could make group chat management easier, following WhatsApp's lead.
The feature is not confirmed by Google yet, but it would be a significant benefit for Google Messages users.

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Towards Data Science

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Forget About Cloud Computing. On-Premises Is All the Rage Again

Many companies are now migrating back to on-premises servers due to ballooning cloud costs, with examples like Dropbox and 37signals leading the way.
Studies show that a significant portion of enterprise cloud spend is wasted on underutilized resources, making cloud costs a major budget driver for software enterprises.
Cloud costs can escalate due to factors like storage, retrieval fees, and variable costs tied to usage spikes, leading to unpredictable billing and potential budget overruns.
High data egress fees and increasing costs for add-ons like security and monitoring are pushing IT leaders to reconsider on-premises solutions.
The trend towards on-premises servers is growing, with a notable 33% of respondents repatriating some production applications in a recent survey.
Financial, operational, and strategic factors should be carefully considered when deciding between on-premises and cloud infrastructure for optimal cost management.
Predictability, control, and compliance favor on-premises solutions, while flexibility and scalability are strengths of cloud services.
For companies considering repatriation to on-premises infrastructure, early migration can lead to cost savings and improved control over operations.
Hybrid approaches combining on-premises and cloud services are becoming popular to balance control and scalability based on workload demands.
Ultimately, the choice between on-premises and cloud infrastructure depends on specific company needs, with no one-size-fits-all solution in the evolving landscape of IT.
The shift towards on-premises infrastructure reflects a deeper reflection on cost control, security, and long-term operational efficiency in the face of cloud limitations and hidden costs.

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Towards Data Science

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Effortless Spreadsheet Normalisation With LLM

Effortless Spreadsheet Normalization With LLM involves transforming messy data into a tidy dataset for easier analysis and decision-making.
Tidy data is structured for manipulation, visualization, and modeling, linking dataset structure with semantics.
Developing a workflow with LLM-based modules and business logic helps reshape spreadsheets into machine-readable formats.
The process includes Spreadsheet encoder, Table structure analysis, Table schema estimation, Code generation, and Conversion to Excel format.
Using LLMs enables efficient analysis of input data, ideal table schema estimation, and accurate code generation for data transformation.
The workflow aims to automate and simplify the process of normalization and restructuring of messy datasets.
LLMs improve flexibility in dealing with various data contexts and reduce the need for manual data cleaning and formatting.
The workflow approach based on LLMs is deemed more robust, stable, and maintainable for data normalization compared to autonomous agents.
Future articles will further explore related topics to enhance data processing and analysis using advanced techniques like LLMs.
Efforts like CleanMyExcel.io aim to provide users with tools to easily test and normalize their own datasets for enhanced data analysis.

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Medium

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Allocating Stack and Heap Memory for Java Variables

Stack memory is used for method execution and local variable storage in Java.
Each method call creates a new stack frame, which is removed when the method completes.
Heap memory is used to store objects created at runtime in Java.
Unlike stack memory, heap memory requires garbage collection to manage unused objects.
Objects in the heap stay in memory until they are no longer referenced.
Stack memory is fast and predictable due to its structured Last In, First Out (LIFO) approach.
Heap memory allows for dynamic memory allocation but requires additional processing for management.
Garbage Collection in Java automatically removes unused objects from heap memory.
Frequent object creation and deletion in heap memory can lead to Garbage Collection overhead.
Efficient memory management is crucial for optimizing Java program performance.

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Pcgamer

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Microsoft co-authored paper suggests the regular use of gen-AI can leave users with a 'diminished skill for independent problem-solving' and at least one AI model seems to agree

A co-authored paper by Microsoft and Carnegie researchers reveals that regular use of generative AI tools can lead to a diminished skill for independent problem-solving.
The study showed that as confidence in AI tools increased, critical thinking efforts decreased among the participants.
The paper suggests that GenAI tools should be designed to address awareness, motivation, and ability barriers in order to support knowledge workers' critical thinking.
The findings emphasize the need for consistent scrutiny and critical thinking when using AI tools to avoid relying too heavily on them.

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Medium

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Footium Living Roadmap Update

Footium provides regular updates on its living roadmap, adjusting based on community feedback and priorities.
Feedback analysis is crucial, with seasonal summaries informing the team about community sentiment.
Upcoming improvements include match engine upgrades, player records, and infrastructure enhancements.
Match Engine enhancements aim for realistic outcomes, statistical accuracy, and tactical depth.
Infrastructure improvements are prioritized for stability and performance enhancement.
Player Records feature has been introduced, with plans for further enhancements.
Cups feature development is ongoing, aiming to enhance gameplay and strategy.
Fiat Onboarding and Transfer Market features are being designed to ease user onboarding.
Future plans include live match attendance, retired players feature, and saved lineups.
Team expansion is vital for implementing new community-driven ideas and improving Footium.

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Towards Data Science

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One Turn After Another

Dynamic games involve players taking turns, with decisions affecting subsequent actions and rewards.
Players in dynamic games follow a specific order in decision-making, creating tree-like representations of possible outcomes.
Analyzing Nash equilibria in dynamic games involves transforming decision trees into matrices to find optimal strategies.
Subgame perfect equilibria impose stricter conditions on Nash equilibria, ensuring consistency in all possible subgames.
Backwards induction is a method used to find subgame perfect equilibria by analyzing each subgame sequentially.
Uncertainty in games, such as hidden information or unknown opponent strategies, adds complexity to decision-making.
Calculating probabilities in uncertain situations helps determine optimal strategies under varying assumptions.
Game theory extends to real-world scenarios like auctions, social networks, markets, and voting behavior.
Understanding game theory concepts can be applied to practical situations for analysis and decision-making.
Game theory offers a valuable perspective for interpreting interactions and strategies in various domains of life.

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Javacodegeeks

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Elixir in 2025: Real-Time Apps with Phoenix and Legacy Integration

Elixir, a dynamic and functional programming language, is becoming a popular choice for real-time applications due to its concurrency model, fault tolerance, and scalability.
By 2025, Elixir and the Phoenix framework are expected to be essential for developing real-time apps and integrating with legacy systems.
Elixir's features such as concurrency, fault tolerance, scalability, and real-time capabilities make it suitable for industries like gaming, finance, healthcare, and IoT.
The Phoenix framework offers powerful tools like Phoenix Channels and LiveView for building real-time features and applications.
Examples of real-time applications in 2025 include live collaboration tools, IoT dashboards, financial trading platforms, and multiplayer games.
Elixir's interoperability and flexibility make it ideal for integrating with legacy systems using strategies like APIs, microservices, message brokers, and data migration.
Elixir is expected to revolutionize industries like healthcare, finance, e-commerce, gaming, entertainment, and IoT with real-time applications by 2025.
Businesses adopting Elixir must consider challenges like the learning curve, ecosystem maturity, legacy integration, talent availability, and performance optimization.
Despite challenges, Elixir and Phoenix offer significant benefits for building scalable, performant, and maintainable real-time applications.
In conclusion, Elixir and Phoenix will lead the way in real-time application development by 2025, catering to modern businesses' demands for performance and scalability.

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Benedict Evans

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What kind of disruption?

Disruption and market redefinition through software like Airbnb and Uber
Different effects on the taxi and hotel industries due to various factors such as regulation and supply differences
Not all disruption challenges the existing market; can be about new demand or affect peripheral businesses
Choosing the right type of disruption (e.g., AI) is crucial for understanding its impact

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Medium

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Don’t use loops to find common elements in Python 3

Python offers a powerful tool called a set that can make checking for common elements between lists easier and faster.
A set is a built-in data type in Python that stores a collection of unique items and is optimized for tasks like finding overlaps between collections.
Using the .intersection() method, we can easily find common elements between two lists without using traditional loops.
Sets can be created using curly braces {} or by converting a list into a set using the set() function.

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Sdtimes

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Mar 14, 2025: 10 AI updates from the past week – Google releases Gemma 3, OpenAI launches Responses API, Boomi AI Studio now available, and more

Google introduces Gemma 3, a powerful AI model for math, reasoning, and chat capabilities, available in various sizes and supporting multiple languages and media types.
OpenAI unveils the Responses API for developers to integrate agentic experiences using web and file search, and computer use tools, along with the Agents SDK for multi-agent workflows.
Boomi launches the AI Studio platform to design, govern, and orchestrate AI agents at scale with components like Agent Designer, Control Tower, Garden, and Marketplace.
Amazon SageMaker Unified Studio, now generally available, offers a consolidated platform for data access and action using various AWS tools, supporting multiple regions.
Visual Studio adds GPT-4o Copilot code completion model trained on a vast repository base, enhancing code suggestions for developers using Visual Studio 17.14 Preview 2.
SUSE AI updates its platform with new features like agentic workflow tools, observability enhancements, LLM guardrails, and support for OpenWebUI Pipelines and PyTorch.
Eclipse Foundation launches Theia AI framework for integrating LLMs into tools and IDEs, enabling developers to customize AI implementations with transparency and control.
Anthropic introduces token usage reduction features like cache-aware rate limits, simpler prompt caching management, and token-efficient tool use for optimizing interactions.
Diffblue releases Test Review tool for verifying AI-generated unit tests, aiming to boost developer confidence in accepting AI-generated tests into the codebase.
ScaleOut Software enhances its Digital Twins service with generative AI capabilities like anomaly detection, natural language prompts, live system algorithm retraining, and performance improvements.

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Tech Radar

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Apple Intelligence is a fever dream that I bet Apple wishes we could all forget about

The article discusses the disappointment and delays surrounding Apple Intelligence, a feature aimed at integrating AI into Apple products.
The author, an avid Apple enthusiast and journalist, had high hopes for Apple Intelligence but has become increasingly disillusioned with its progress.
While initially intrigued by Apple's approach to AI, the author highlights that the delays in key features like Siri have been a major setback.
Despite some early promising features like Genmoji, the author criticizes the lack of significant advancements in Apple Intelligence that truly enhance users' experiences.
Comparisons are drawn to Apple's previous product delays, such as the AirPower charging mat, emphasizing the impact of delays on consumer trust.
The author expresses frustration with the marketing of iPhone 16 based on promised Apple Intelligence features that are yet to be delivered.
The delay in Siri's upgrade is seen as a missed opportunity for Apple to compete with other AI-integrated devices like Google's Pixel 8a.
The author suggests that Apple may have underestimated the importance of AI in modern technology and risks falling behind competitors in AI integration.
While acknowledging Apple's focus on privacy, the author believes that consumers are increasingly prioritizing AI functionality that enhances user experience over privacy concerns.
In conclusion, the article criticizes Apple for overpromising on AI capabilities, resulting in disappointment for loyal customers and potential lagging behind competitors in the AI space.

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Medium

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Takibi Protocol: Powering the Next Generation of Games and Apps

Takibi Protocol is focused on building a community and providing the tools for creators to bring players together.
The protocol offers the essential infrastructure for seamless development and is designed to be modular and scalable.
Takibi introduces a community-focused platform where players and creators can connect, trade assets, and participate in quests.
Takibi aims to simplify the complex world of development and empower players to own, trade, and interact with digital assets across multiple games and apps.

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Popsci

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In world first, man leaves hospital with titanium heart

In a historic milestone, a man has been discharged from the hospital with a titanium heart, a device intended as a replacement for human donor organs.
The titanium heart, called BiVACOR, was first used as a stopgap measure for patients waiting for heart transplants.
The device is lightweight, weighing less than 1.5 lbs, and is powered by an external battery.
While not yet available for commercial use, the titanium heart shows potential for long-term and permanent heart replacements in the future.

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