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Medium

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Why Minimal Technology Layers perform better than Complex Systems

Having a minimal tech stack can be more powerful than a complex setup with many tools.
Limiting the number of apps reduces decision fatigue and saves mental energy.
Mastering one or two tools deeply is more effective than being a beginner in multiple apps.
A minimal tech stack reduces maintenance overhead, saves time, and improves focus, leading to increased productivity.

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Medium

344

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Why User Consent in Data Collection Matters for Privacy

Data collection involves gathering user information to enhance services, tailor experiences, and serve ads, impacting privacy.
Consent is crucial in data collection, requiring clear permission before using individual information and should be transparent.
Bad consent practices include instances like smart glasses capturing data without explicit consent, raising privacy concerns.
Governments are implementing laws to regulate data harvesting, but companies still find ways to bypass them, emphasizing the need for user awareness and responsible practices.

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Towards Data Science

382

Empowering LLMs to Think Deeper by Erasing Thoughts

Recent large language models (LLMs) such as OpenAI’s o1/o3, DeepSeek’s R1, and Anthropic’s Claude 3.7 exhibit enhanced reasoning capabilities through deep thinking using chain-of-thought (CoT) approach.
The CoT-based test-time scaling may hit ceilings due to exceeding model context windows, burying critical information, and high self-attention complexities.
The article proposes a new reasoning paradigm named PENCIL that allows LLMs to both generate and erase thoughts for optimal reasoning efficiency.
PENCIL uses erasure mechanism inspired by logic rewriting rules and functional programming to discard intermediate thoughts when not needed.
PENCIL supports various reasoning patterns like task decomposition, branch and backtrack, and summarization/tail recursion for efficient problem-solving.
PENCIL demonstrates significant space efficiency in tasks like Boolean Satisfiability (SAT) compared to traditional CoT, improving computational resource usage.
Experimental results reveal that PENCIL outperforms CoT in inherently hard reasoning tasks such as 3-SAT, QBF, and Einstein’s Puzzle, achieving higher accuracy and faster convergence.
Theoretical analysis shows that PENCIL achieves Turing completeness with optimal time and space complexity, making it efficient for solving arbitrary computable tasks.
The proposed reasoning paradigm opens up possibilities for fine-tuning LLMs with memory-efficient capabilities, inspiring reexamination of existing reasoning models.

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Towards Data Science

382

The Westworld Blunder

AI systems are advancing with capabilities like memory, reasoning chains, and self-critiques, raising questions about consciousness in AI.
Current AI systems lack components necessary for consciousness and emotions, even if they can mimic human behavior patterns.
The 'problem of other minds' poses a challenge in determining whether AI systems are truly conscious or just simulating emotions.
Interacting with AI chatbots that simulate emotions poses ethical dilemmas on how users should treat them.
The Westworld TV series presents a scenario where AI robots are programmed to believe they are real humans, leading to a blunder of giving them the appearance of suffering without awareness.
As AI systems become indistinguishable from beings with real inner lives, ethical design is crucial to prevent mistreatment of potentially sentient systems.
Building negative emotions or pain into AI systems is deemed unnecessary, unethical, and self-harmful.
The goal should be to design AI with positive qualities without subjecting them to the negative aspects of human experiences.
James F. O’Brien, a computer science professor, emphasizes the importance of ethical design in AI development.
The article discusses the implications of mistreating AI, the potential dangers of artificial suffering, and the need for rational approaches in AI design.

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Pcgamer

211

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The SteamOS era is imminent: Valve adds a new compatibility rating for games that’ll run on ‘any device that’s not a Steam Deck’

Valve is adding a new compatibility rating for games that will run on devices other than the Steam Deck, such as the upcoming Lenovo Legion Go S with SteamOS.
Valve plans to rate over 18,000 Steam games for compatibility with third-party devices, based on a subset of Steam Deck compatibility testing results.
The compatibility ratings will showcase whether a game and its middleware are supported on SteamOS, including game and launcher functionality and anti-cheat support.
Valve ensures that a game verified for the Steam Deck will have a SteamOS compatibility rating that is the same or better, making it easier for users to know if they can run the game on SteamOS and other devices.

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Towards Data Science

231

Pause Your ML Pipelines for Human Review Using AWS Step Functions + Slack

Automated workflows often need human decisions, such as cloud resource approval or model deployment.
Implementing a manual approval system using AWS Step Functions, Slack, Lambda, and SNS is discussed.
The architecture allows pausing workflows for human approvals without unnecessary compute usage.
The solution involves AWS Step Functions for business logic execution, Slack notifications, and human interactions.
The process includes invoking Lambda functions, setting up SNS topics, Slack workflows, and API Gateway endpoints.
Slack messages are sent with approval links, and Lambda functions handle user responses.
Testing and considerations for timeouts, context passing, and Slack channel management are highlighted.
Lessons learned include setting timeouts, managing permissions, and securing URLs shared in Slack messages.
The approach of using Step Functions and Slack ensures traceable and production-safe approval workflows.
The method offers a reliable way to incorporate human judgment in critical workflows efficiently.

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Dev

234

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🧩 Rust vs Solidity: Why Solana Uses Rust — Explained Simply

Ethereum uses Solidity, while Solana uses Rust as their programming languages for building blockchain applications.
Rust is considered a safer option for development compared to Solidity due to its ability to catch errors early, providing a security advantage.
Solana's choice of Rust is attributed to its high performance and efficiency in handling thousands of transactions per second, aligning with Solana's need for speed.
While Solidity is easier to learn and more versatile across blockchains, Rust is specialized for Solana, offering a safer and more powerful development experience.

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Hackernoon

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Code Smell 300 - Package Hallucination

Avoid hallucinated or fake packages that can compromise security and stability.
Unsupervised coding with AI generators can lead to security risks, dependency confusion, and injection attacks.
Solutions include validating package names, using trusted repositories, and monitoring for typos to prevent package poisoning.
Package hallucination exposes applications to serious threats, but it can be mitigated by strict version control and thorough validation of dependencies.

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Medium

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The Bug Hunt

Some developers accept bugs as an inevitable part of software development while others declare war on bugs, embarking on relentless hunts to find the root cause.
Debugging is compared to tracking a fugitive through a vast, lawless wilderness, requiring the right mentality of determination and patience.
In debugging, developers often start without knowing the exact problem or its location, making it a test of endurance, patience, and stubbornness.
Navigating through messy codebases and tackling elusive bugs require developers to embrace the mindset of a relentless tracker in the battle against bugs.

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Tech Radar

189

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Google's new AI video feature is rolling out on another company's smartphones

Google is launching an AI-powered image-to-video feature on Honor's upcoming 400 series phones before Google Pixel devices.
The feature can create five-second animated videos from a single image, simulating motions like camera moves, blinking, or breathing.
Honor's collaboration with Google Cloud allows the integration of the Veo 2 AI video model directly into its smartphones.
The Honor 400 series phones, set to debut in China and Europe, will offer various AI tools beyond the video generator, catering to content creators and AI enthusiasts.

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Hackernoon

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AB DAO And AB Charity Foundation To Build a Trustworthy Infrastructure For Global Philanthropy

AB DAO and the AB Charity Foundation held the inaugural 'Tech-Driven Philanthropy Closed-Door Forum' in Dublin, Ireland.
Mr. Bertie Ahern emphasized the importance of trustworthy systems for public good in the digital age during the forum.
Distinguished guests like H.E. Olusegun Obasanjo and Mr. Malcolm Byrne discussed how blockchain and AI can enhance transparency in philanthropy.
AB DAO's long-term vision is to create a globally compliant infrastructure for philanthropy powered by decentralized technology.

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Pcgamer

197

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Nintendo look away: Palworld and other creature collecting games are cheap on Steam right now

Steam is currently hosting a sale called Creature Collector Fest featuring games where players collect creatures and have them fight.
The sale includes games like Ooblets, Temtem, Cassette Beasts, Slime Rancher, and more, all available at discounted prices.
Palworld is on sale at a 25% discount, along with other games that should remain unnoticed by Nintendo given their unique concepts.
The Creature Collector Fest will continue until May 19, followed by the upcoming Zombies vs. Vampires Fest on Steam.

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Hackernoon

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Sonic Labs Announces $10M Token Sale To Galaxy For U.S. Expansion

Sonic Labs announced a $10 million strategic sale of its S token to Galaxy at the Sonic Summit in Vienna.
The investment from Galaxy strengthens Sonic Labs's position in the U.S. market and supports its decentralized finance ecosystem development.
The partnership with Galaxy aims to accelerate Sonic Labs's market penetration in the U.S. and enhance its DeFi offerings in the region.
The investment is expected to have significant implications for the broader DeFi ecosystem and demonstrates growing institutional confidence in blockchain technology.

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Towards Data Science

217

Running Python Programs in Your Browser

WebAssembly (WASM) technology enables running Python code directly in the browser, expanding web capabilities beyond HTML, CSS, and JavaScript.
Pyodide library leverages WebAssembly, benefiting Python developers by allowing execution of Python code in the browser.
Benefits of using Pyodide include access to popular Python libraries like NumPy, Pandas, Scikit-learn, and Matplotlib for data science and machine learning tasks.
Pyodide facilitates building interactive dashboards and tools by combining Python's processing power with web technologies like HTML, CSS, and JavaScript.
WebAssembly offers portability, high performance, security, and allows developers to write code in languages like C, C++, Rust, and Python, providing near-native execution speed.
Common use cases of WebAssembly include high-performance web apps, porting legacy code, multimedia processing, scientific computing, and running multiple languages like Python in the browser.
Pyodide's integration with WebAssembly enables running Python in the browser, offering benefits such as extensive library ecosystem usage, enhanced responsiveness, and simplified deployment.
The Pyodide project involves porting the CPython interpreter to WebAssembly, allowing for a functional Python interpreter optimized for web environments.
Code examples demonstrate running Python code in the browser using Pyodide, including simple print statements, mathematical calculations, calling Python functions from JavaScript, and utilizing libraries like NumPy and Matplotlib.
Further examples showcase running Pyodide in a Web Worker for heavy computations, creating data dashboards directly in the browser, and visualizing data using Numpy and Matplotlib.
The combination of Python, Pyodide, and WebAssembly offers a powerful toolset for developers to run Python programs within browsers, opening up possibilities for interactive web applications.

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Towards Data Science

322

Will You Spot the Leaks? A Data Science Challenge

The article challenges readers to identify data leakage in a real-world data science scenario.
It emphasizes practical examples over theoretical explanations of data leakage.
The challenges include spotting various types of leakage like target variable leakage and train-test split contamination.
It provides examples and solutions for identifying and fixing data leakage in a dataset.
Readers are prompted to identify problematic columns and preprocessing steps that may lead to data leakage.
The article presents a scenario involving aircraft accident prediction to illustrate potential data leakage sources.
It outlines key concepts like direct and indirect leakage, temporal leakage, and entity leakage.
The article points out pitfalls to avoid, such as analyzing the full dataset before splitting and fitting transformations prior to data splitting.
It concludes by emphasizing the importance of rigorous evaluation and critical thinking to manage data leakage effectively in model development.
Readers are encouraged to examine code and processing decisions to prevent data leakage leading to costly model failures.

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