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Apple stops signing iOS 18.4.1, ending firmware downgrades from newer iOS 18.5

Apple has stopped signing iOS & iPadOS 14.4.1, preventing users from downgrading from the newer iOS & iPadOS 14.5.
This move by Apple disallows the typical keyboard shortcut method for downgrading, forcing users to update and restore to the latest 14.5 firmware.
Firmware downgrades are commonly used by jailbreakers, though recent jailbreak releases are not available for iOS & iPadOS 14.5.
While downgrading to 14.4.1 from 14.5 is now impossible, upgrading to 14.4.1 from an older firmware is still achievable using the DelayOTA method.

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Hackernoon

138

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Meme Branding And Art: The “Moonpig” Appeal

Moonpig, a meme cryptocurrency on Solana, has surpassed a $40 million market cap within a week of launch, drawing parallels to iconic meme coins like Dogecoin.
The token's fair launch on Solana through Pump.fun ensured equal access to all, fostering community trust and involvement from the start.
Moonpig's catchy branding and playful art, leveraging designer artwork and AI, have resonated with meme-savvy audiences and contributed to its rapid growth.
The coin's price soared over 800% within a week, with a market cap of around $40 million and daily trading volumes exceeding $15 million.
Moonpig's social media presence, particularly on Twitter, has contributed to its popularity among crypto enthusiasts and retail traders.
The project's focus on community spirit and social momentum, akin to Safemoon and Dogecoin, positions it as a promising meme coin in the current market cycle.
Moonpig's engagement, fair launch, and support from industry leaders suggest it could emerge as a breakout meme coin on Solana in 2025.
With a blend of viral branding, community engagement, and Solana's technology, Moonpig appears poised to make a mark in the crypto pop culture narrative.
As the meme coin arena heats up, Moonpig's rapid ascent signals its potential to become a lasting presence in the crypto ecosystem.
Investors and observers are closely monitoring Moonpig's trajectory, anticipating its impact on the evolving meme coin landscape.

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Towards Data Science

252

Optimizing Multi-Objective Problems with Desirability Functions

When working in Data Science, problems with competing objectives often need to balance several metrics to achieve the best outcome.
Desirability functions offer an elegant solution to multi-objective optimization by combining metrics into standardized scores.
The article explores the mathematical foundation, implementation in Python, and optimization of multi-objective problems using desirability functions.
Three types of desirability functions are discussed: Smaller-is-better, Larger-is-better, and Target-is-best.
Individual desirability scores are combined using the geometric mean, with weights reflecting metric importance.
A practical optimization example of bread baking is used to demonstrate desirability functions in action.
Mapping parameters to quality metrics and defining how parameters influence quality metrics are essential steps in optimizing with desirability functions.
The article discusses computing flavor profile, texture quality, and practicality, and defining the objective function for optimization.
Optimization using SciPy's minimize function and visualizing results with varying preference weights are presented.
Desirability functions can be applied across various domains, offering a systematic approach for tackling multi-objective optimization problems.

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Hackernoon

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New Scanner Technology At Stock Market Guides Shows The Historical Track Record Of Each Trade Setup

Stock Market Guides has enhanced its stock scanner technology to show the historical performance of each trade setup based on backtest research.
The scanner caters to active stock traders, buy-and-hold investors, and option traders, providing insights into trade setups from technical and fundamental analysis perspectives.
Customers can use the scanner to identify potential trades for both stocks and stock options, enhancing their decision-making process.
Stock Market Guides, based in Altadena, California, has been offering stock scanning services since 2023 and provides educational content to help readers make informed financial decisions.

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Hackernoon

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Beer 2.0: The Meme Coin That Is Brewing Something Bigger On Solana

Beer 2.0 is a meme coin on Solana, combining meme culture, community power, and utility, aiming to have lasting impact.
Over 10,000 people showed interest in the Beer 2.0 presale within 48 hours of announcement, suggesting strong anticipation.
Beer 2.0 plans to integrate NFTs, gaming, and DApps, leveraging Solana's fast transactions and low fees for high-frequency trading and more.
The total token supply is 888.8 billion, with a presale starting on May 21, 2025, with transparent token distribution.
Early presale participants receive tiered bonuses, emphasizing the project's focus on early supporter rewards.
Beer 2.0's roadmap includes phases like listings on major platforms, influencer marketing, CEX listings, real-world use cases, and global expansion.
The project encourages a Positive Mental Attitude, offers real-world $BEER payments, and plans cultural events like the BEERCOIN Festival.
Risks include volatility, liquidity concerns, regulatory challenges, and the need for successful execution to fulfill ambitions.
Investors are advised to do their own research and invest wisely, as post-launch prices can be highly volatile.
Beer 2.0 represents a shift in meme coin evolution by emphasizing community interaction and real-world utility, presenting a unique opportunity for investors.

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Dev

425

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True Vibe Coding in 2025: Hype, Reality, and Practical Applications of AI Coding Tools

The concept of 'vibe coding' in 2025 involves developers using AI tools with natural language prompts to expedite software development, but the practical implications need critical examination.
For non-developers, vibe coding tools promise easy application creation, but they come with potential security risks and challenges in long-term maintenance.
Vibe coding AI agents often struggle with the security of code, making them unsuitable for applications requiring user data transfers.
AI agents are effective at generating new code but struggle with maintaining existing codebases, leading to complications in software updates.
Non-developers should use specialized vibe coding tools, avoid complex applications, and expect high costs for future development and maintenance.
For developers, vibe coding doesn't fully replace traditional programming, as AI agents excel in small tasks but struggle with complex projects and architecture.
AI agents lack autonomy, self-verification abilities, and competency with complex tasks, making them more suited for specific coding tasks rather than full-fledged development.
Developers can utilize AI agents for tasks like mastering new technologies, writing tests, decomposing tasks, and bug fixes to streamline their workflow.
Vibe coding presents a nuanced landscape, offering benefits like faster task execution but requiring human oversight, testing, and selective AI utilization for successful implementation.
Skillful application and critical understanding of vibe coding tools are key for both non-developers and developers to harness the potential benefits while acknowledging current limitations.
As AI technology progresses, the harmony between 'vibe' coding and traditional coding may improve, emphasizing the need for continued human expertise in software development.

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Sdtimes

138

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Google I/O: Updates across Gemini, Android Studio, Google Play, and more

Google I/O announcements include updates across Gemini, Android Studio, Google Play, and more.
Gemini introduces Diffusion, a text model with improved output speed, Gemma 3n for multimodal capabilities, and variants like MedGemma and SignGemma.
Gemini Code Assist tools are now generally available with features like chat history, custom commands, and code suggestion reviews.
Android Studio integrates Gemini 2.5 Pro for agentic AI capabilities and offers features like detailed crash analysis and experimental AI through Studio Labs.
Google Play updates include enhanced Play Console overview, store listing management tools, and new topic browse pages on the store homepage.
Google Colab is revamped for a more agentic role, facilitating coding and collaboration across the entire notebook.
Stitch, an experimental tool, allows developers to create UI designs and frontend code from text prompts or images/wireframes.
Firebase Studio updates offer features like translating Figma designs into applications, while Firebase AI Logic enables AI applications without a custom backend.
Firebase AI Logic integrates Vertex AI in Firebase for mobile and web apps; a preview of the Firebase AI Logic SDK for Unity is also announced.
Google I/O showcases advancements empowering developers in mobile development, app quality, and innovation across multiple Google offerings.

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Medium

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How Top Level Await Works in JavaScript

Top-level await in JavaScript only works in ES modules, not in regular scripts, and requires parsing as an ES module in browsers or using .mjs extension or 'type': 'module' in Node.js.
If await is used outside an async function in a classic script, a syntax error occurs immediately.
Module execution pauses for top-level await until the awaited promise settles, affecting the entire module's execution and any importing modules.
The module system adds an execution barrier for top-level await, causing a delay in the import process until the awaited value is resolved.
Top-level await changes module loading process by introducing asynchronous pauses without wrapping everything in a function.
Circular dependencies with top-level await are more strictly managed in modern runtimes to prevent unresolved deadlocks.
To avoid issues with top-level await and circular dependencies, it's crucial to consider the order of operations and isolate async work inside exported functions.
Engine splits module loading into parsing, setup, and execution phases, holding execution when encountering a top-level await to maintain consistency.
Top-level await provides a more natural coding order but introduces an execution barrier until the awaited value is ready.
Modern JavaScript modules behave with timing constraints due to top-level await, affecting the flow of execution and module imports.

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Hackernoon

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Wall Street Ponke Launches With AI Tools, Learning Hub, And Over $300K Raised In Hours

Wall Street Ponke, a new meme coin, raised over $300,000 within hours of launch, attracting early investors and observers.
Unlike typical meme coins, Wall Street Ponke focuses on offering functional tools for learning and safety, using AI to monitor the market for warning signs.
The project includes a trader learning space, tools like smart contract scanners, and staking systems to provide real value and improve decision-making for traders.
Wall Street Ponke aims for sustainable growth with long-term design, high return rates for early stakeholders, and a platform that encourages active participation beyond just holding coins.

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Engadget

Everything announced at the Google I/O 2025 keynote

Google's I/O developer event featured a wide range of product updates, with a focus on AI-related news.
AI Mode chatbot, offering advanced search capabilities, is set to launch for all US users.
1.5 billion people interact with AI Overviews monthly, despite some preferring a simpler search experience.
Google unveiled Project Astra, a universal AI assistant that aims to simplify everyday tasks.
Gemini 2.5 update includes improved features like personalized smart replies and real-time translation in Google Meet.
Gemini Live tool is expanding to Android and iOS devices, enhancing user interactions via virtual assistant.
Google introduced Google AI Ultra plan, priced at $250/month, offering exclusive access and 30TB storage.
A new Android XR device, Xreal, was announced, aiming to advance augmented reality experiences.
Chrome password manager now automatically changes compromised passwords, enhancing security measures.
Project Starline's 3D video conferencing technology is now named Google Beam, targeting enterprise customers.

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Popsci

216

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College students demolish world record for fastest Rubik’s cube robot

A team of undergrads at Purdue University in Indiana designed and built a Rubik’s cube-solving robot that set a new Guinness World Record by solving the cube in just 0.103 seconds.
Named Purdubik’s Cube, the robot surpassed Mitsubishi's previous record of 0.305 seconds achieved by its TOKUFASTbot.
The team overcame challenges with cube disintegration by optimizing the mechanical interior with a custom built core and adjustments to color blocks.
The Purdue University students' accomplishment is faster than human reaction time, and their robot's record-breaking time is currently at 0.103 seconds.

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Hackernoon

104

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Reppo Launches World's First Liquid Node Sale, Pioneering Decentralized Data Infrastructure

Reppo has launched the world's first Liquid Node Sale, revolutionizing decentralized data infrastructure for AI developers and agents.
Solver Nodes, powered by Anoma's architecture, streamline resource provisioning by autonomously matching data needs on demand.
The Liquid Node Token protocol by Zoo Finance tokenizes Solver Nodes, democratizing access to AI infrastructure and enhancing network efficiency.
Reppo's Data Exchange architecture addresses challenges in AI development, enabling broader participation in the Decentralized Data Economy.

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Engadget

303

Google Chrome previews feature to instantly change compromised passwords

Google Chrome introduces a feature to instantly change compromised passwords to enhance cybersecurity.
The Automated Password Change feature enables users to generate and substitute a new password for the compromised one with a single click.
This feature, currently in talks with developers, is set for a full rollout by 2025.
It builds on previous password health functionality in Chrome to address cybercrime through password security measures.

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Engadget

308

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Google is bringing Gemini to Chrome so it can answer questions about your open tabs

Google is integrating its AI assistant, Gemini, into the Chrome browser to provide insights and answer questions about open tabs without switching windows.
Gemini in Chrome aims to assist with tasks like dietary advice while browsing recipe blogs or answering specific questions about products while shopping.
Initially, Gemini can respond to queries about a single open tab, with plans to add multi-tab capabilities later for more complex questions.
Gemini in Chrome will feature Gemini Live for voice interactions and a future update to allow scrolling through web pages, offering a convenient browsing experience.

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Tech Radar

160

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Google Search just got its biggest-ever upgrade to lure you away from ChatGPT – here are 7 new things to try

Google has just given its Search its biggest overhaul in 25 years at Google I/O 2025, introducing new features like AI Mode and 'Deep Search'. AI Mode is now available to everyone in the US, with a new tab in Google Search on the web.
A new 'Deep Search' AI Mode will be available within the next few months, offering expert-level, fully-cited reports in a few minutes. Google also introduced 'Search Live', allowing users to query Google in real-time using their camera.
AI Overviews, despite previous inaccuracies, are expanding globally to more than 200 countries and territories in over 40 languages. Google is also working on an AI-powered ticket-buying agent and an AI makeover for Google Shopping.
Google's new personalized AI Mode will offer tailored suggestions based on users' previous searches, allowing for a more personalized search experience. However, concerns regarding privacy invasion and potential echo chamber effects have been raised.
These new Search features demonstrate Google's commitment to enhancing search capabilities and staying competitive in the evolving search landscape.
Existing users can join the Labs testers in the US to get early access to the upcoming features, including 'Deep Search' and 'Search Live'.
Google continues to refine and expand its AI capabilities to provide more efficient and personalized search experiences for users globally.
From ticket purchasing to personalized recommendations, Google's updated Search features aim to cater to a wide range of user needs and preferences.
The integration of AI technologies like Gemini 2.5 and Project Mariner showcases Google's efforts to enhance the search experience through advanced machine learning and automation.
Overall, Google's recent Search updates signal a significant shift towards more sophisticated and personalized search functionalities, setting the stage for a new era of intelligent browsing.

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