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A compact biodegradable battery with fungal paper electrodes is what researchers at this university are dreaming of

Researchers from Empa are exploring the potential of fungal mycelium to create a compact, biodegradable battery with 'fungal paper' electrodes.
They aim to develop a system that decomposes without releasing harmful waste by using the natural properties of mycelium from the split-gill mushroom.
The use of living materials like mycelium presents challenges such as degradation and unpredictability in electronic devices.
While the concept of biodegradable batteries is promising for sustainable electronics, refining the material to meet modern performance standards remains a significant challenge.

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Tech Radar

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She let ChatGPT read her coffee grounds – then filed for divorce

A Greek couple used ChatGPT as a fortune-teller, which claimed the husband was cheating with a woman whose name starts with 'E'.
The wife is now filing for divorce based on the AI's tasseography response.
The couple asked ChatGPT to interpret coffee grounds, a practice known as tasseography, to determine the husband's infidelity.
The use of AI in fortune-telling raises cultural and ethical questions regarding the accuracy and impact of such predictions.

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Hackernoon

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NEXPACE Launches MapleStory N And NXPC Token, Charting a New Chapter For MapleStory Universe

MapleStory Universe, powered by the NXPC token, launches MapleStory N, a blockchain-powered MMORPG, on seven major exchanges.
MapleStory N combines original 2D visuals and gameplay with blockchain features like NFTs and on-chain item mechanics, allowing players to earn, craft, and trade assets with real-world value.
The NXPC token revolutionizes MapleStory's in-game economy by enabling true asset ownership, player-driven markets, and a contributor reward system.
NEXPACE's CEO emphasizes that MSU and NXPC introduce a player-centered digital economy, reshaping gaming experiences by giving real ownership to players and rewarding creativity and engagement.

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TheNewsCrypto

131

The Alice Collective Enters Web3 Nostalgia Realm Through Persona Journey Partnership to Extend My Neighbor Alice

The Alice Collective has announced a partnership with Persona Journey to introduce Alice to the world of Persona, which combines web3 technology with retro elements.
The partnership aims to leverage Persona's engaged community and innovative approach to expand the My Neighbor Alice world.
Persona Journey repackages vintage technology like cassette tapes and Polaroids using web3 and AI, bringing a new dimension to Alice's world.
Future plans include themed events, gaming evenings, a Prismatic Collection, and integrating persona-based activities into Rewards Boards within My Neighbor Alice.

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Hackernoon

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GSR Invests In Maverix Securities To Support The Launch Of Regulated Digital Asset Products

GSR, a leading crypto investment firm, has invested in Maverix Securities, a Swiss-based company focusing on structured investment solutions.
The partnership aims to develop new digital asset products for institutional and professional investors bridging traditional finance with the digital asset ecosystem.
GSR will assist Maverix in launching structured products linked to digital assets and developing exchange-traded products tied to cryptocurrencies.
The collaboration will offer a range of institutional-grade products to meet the needs of investors seeking compliant exposure to digital assets.

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Hackernoon

311

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Sportsbet.io Launches 1 Million USDT Giveaway To Mark Champions League Finale

Sportsbet.io has launched a giveaway offering users the chance to win 1 million USDT to mark the UEFA Champions League finals.
Participants need to pay a 1 USDT entry fee and answer a set of twenty football-related questions correctly to be eligible for the prize.
Alongside the main challenge, Sportsbet.io is also running a Cup Finals Leaderboard and a campaign rewarding users placing qualifying multi-leg bets with a combined prize pool of 20,000 USDT.
These initiatives aim to engage football fans in a skill-based challenge and provide opportunities for interactive participation during the UEFA Champions League season.

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Towards Data Science

How To Build a Benchmark for Your Models

Building benchmarks for models is crucial in data science projects to evaluate performance accurately.
A benchmark consists of standardized metrics and simple baseline models for comparison.
By comparing models to benchmarks, improvements can be tracked reliably and performance assessed.
Creating benchmarks helps in setting clear objectives, enhancing client communication, and aiding in model selection.
Benchmarks also assist in detecting model drift, ensuring consistency across datasets, and providing immediate feedback.
Defining metrics, setting benchmarks, and running comparisons are key steps in building a benchmark for models.
Business-driven metrics like financial gain can be crucial in evaluating model performance for specific use cases.
The article provides examples of simple benchmarks like random model, majority model, simple XGB, and simple KNN.
Custom benchmarks tailored to specific business needs, such as customer churn scenarios, can also be designed.
While benchmarks are valuable, potential drawbacks include non-informative benchmarks, misinterpretation by stakeholders, and overfitting.

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Towards Data Science

231

🚪🚪🐐 Lessons in Decision Making from the Monty Hall Problem

The Monty Hall Problem is a brain teaser offering lessons in Decision Making, especially relevant for data scientists.
The problem involves choosing between three doors, one with a prize and two with goats, and deciding whether to stick with the initial choice or switch.
By applying common sense, Bayesian analysis, and causal models, the optimal strategy is to always switch doors after the host reveals a goat.
Lessons learned from the Monty Hall Problem include the importance of updating beliefs with new information and shifting from fast to deep thinking.
The problem demonstrates the counterintuitive nature of probabilities and the need to be comfortable with ambiguity in decision-making.
Insights gained from the problem can be applied in real-world data science scenarios, emphasizing the value of critical thinking and subjective decision-making.
Various examples, analogies, visualizations, and simulations help elucidate the solution and enhance understanding of probability concepts.
The article concludes with a reflection on embracing ignorance, humility in learning, and the diverse approaches to problem-solving.
Overall, the Monty Hall Problem serves as a valuable tool for improving decision-making skills and thinking processes, particularly in data science.

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Dev

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5 developer tools to really step up your workflow

Lazygit is a TUI for git management, allowing easy changes, commits, and branch operations.
LazyDocker is a TUI manager for Docker, providing insights into running containers, available images, logs, metrics, and volumes.
Vim keybindings or using Neovim can enhance coding efficiency, especially with extensions in IDEs like VSCode for Vim support.
Obsidian is a note-taking tool with plugin support and note graph visualization, suitable for all users, and Tmux enables terminal multiplexing for efficient multitasking.

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Tech Radar

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Most job applicants use AI CV builder tools to get into work, and to my dismay, they say it is fair play

Many job applicants are using AI tools to write their CVs, with 53% admitting to using them.
AI-generated CVs often contain embellishments and false information, making it difficult for recruiters to differentiate from genuine submissions.
Despite concerns raised by 41% of applicants about AI giving some candidates an unfair advantage, the use of AI in job applications is becoming more prevalent.
Hiscox's Chief Underwriting Officer emphasized the need for cautious use of AI in the hiring process to avoid misleading employers and damaging relationships.

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Medium

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How I Optimized My React Application to Handle 3M+ Monthly Visitors

Implemented code splitting with React Lazy & Suspense to reduce initial load time and improve time-to-interactive.
Utilized caching and memoization techniques such as React.memo, useMemo, and useCallback to prevent unnecessary re-renders and reduce CPU cycles.
Optimized server-side rendering (SSR) with Next.js for SEO boost, faster content delivery, and reduced server load.
Integrated image and asset optimization strategies, lazy loading, and used a CDN with HTTP/2 for reduced latency and improved resilience.

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Medium

404

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Mastering Software Testing: A Simple Guide to Test Types for Beginners (and the Curious 50+)

Software testing explained in a simple and approachable manner.
The guide explores four essential categories of testing in plain English with examples.
Functional testing checks what the system does based on requirements while non-functional testing focuses on aspects like speed.
Learning test types and techniques ensures that software works well, consistently, and reliably for anyone interested in the field.

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Medium

Why I think Go is the best language for most orgs (and probably you as well)

The author shares their experience of transitioning from Java to Go while contributing to ArgoCD, highlighting the simplicity and speed of development in Go.
Go's minimal build processes, fast compile times, and clean dependency management streamline the development process and reduce friction, enabling quick PoC development and rapid debugging.
The short feedback loop and optimized development workflow in Go facilitate quick turnaround times, from writing code to deployment, contributing to increased productivity and faster incident resolution.
While acknowledging some drawbacks of Go, such as unlogged errors and differences in error handling compared to Java, the author emphasizes the benefits of Go's explicit and predictable error handling, leading to defensive and thoughtful code.

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Medium

360

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The End of High-Paying Tech Jobs? What Developers Need to Know

Tech job market, once offering high-paying roles, is undergoing a fundamental shift.
LinkedIn and Reddit reflect layoffs and pay level struggles among developers in 2025.
Shift from the era of abundant venture capital leading to bloated engineering teams.
Developers advised to adapt to the changing landscape of tech job market for survival.

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Introducing Pyrefly: A new type checker and IDE experience for Python

Pyrefly is an open source Python type checker and IDE extension written in Rust, focusing on ensuring type consistency and catching errors in code before execution.
It offers IDE integration and CLI usage for flexibility in workflow integration.
Developed in the open source community, Pyrefly aims to enhance Python's type system and libraries collaboratively.
Key steps to get started with Pyrefly include installing it via pip, migrating existing type checker configurations, and downloading the VSCode extension.
The project Pyre led to the creation of Pyrefly, with a focus on an extensible type checker that provides code navigation, scalability, and exporting types.
Pyrefly emphasizes performance, built in Rust for speed, and an IDE-first approach for consistent user experience.
The project also focuses on inference to benefit users from types even in unannotated code, promoting an open-source community and open development on GitHub.
Future plans for Pyrefly involve working with the Python community to enhance the language and developer experience, leveraging types for productivity and security.
Community collaboration is encouraged through feedback, bug reports, and contributions to further develop Pyrefly and expand its impact.
The release of Pyrefly as an alpha version is aimed at refining it for a stable release in the future, with an invitation for feedback and improvement suggestions.
The Meta team behind Pyrefly aims to illuminate bugs, enhance the Python development environment, and engage with the community through various platforms.

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