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Medium
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No-Code Website Builders and SEO: The Facts
- No-code platforms like React make building visually impressive websites easy, but can pose SEO challenges if not configured properly.
- Many no-code builders using React rely on client-side rendering, which can lead to poor indexing by search engines like Google.
- Google prioritizes static content over complex client-side apps, potentially causing lower search rankings for sites built with client-side rendering.
- To address SEO pitfalls, implement server-side rendering, optimize metadata, and ensure fast, mobile-friendly performance for better site visibility and SEO rankings.
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Medium
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# Solidity Unchecked Math — Beyond the Basics: Making Gas Optimisation Safe
- Solidity 0.8.0 introduced gas costs for arithmetic operations to check for overflows and underflows, impacting gas optimization.
- The use of 'unchecked' blocks in Solidity can save gas but may lead to vulnerabilities if not used carefully.
- The 'EnhancedSafeMathTester' was developed to explore safe usage of 'unchecked' math in various scenarios, including methods for handling arithmetic with safety mechanisms.
- Additional security patterns such as emergency circuit breakers, access control, and event monitoring were implemented to enhance contract security beyond arithmetic safety.
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Pymnts
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Allpay Says AI Transformation Boosts Productivity, Software Releases
- U.K. payments company allpay is using AI and cloud intelligence for future growth.
- With AI adoption and cloud migration, allpay saw a 10% increase in coding productivity and a 25% rise in production releases within nine months.
- The use of GitHub Copilot AI coding assistant has enhanced code quality and reduced defects, leading to improved productivity.
- The integration of AI tools like GitHub Copilot and Azure has enabled allpay to modernize processes, attract developers, and improve code quality.
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Amazon
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Continue to take control over your code with Amazon Q Developer’s new context features
- Amazon Q Developer has introduced new features in VS Code to offer more control over coding conversations and context management.
- These enhancements include conversation persistence, chat history search, and conversation export capabilities.
- With conversation persistence, users can continue where they left off across IDE sessions without losing context.
- The chat history search feature allows users to quickly find and review previous conversations with Amazon Q Developer.
- Users can now export chat sessions as markdown files for offline use or collaboration purposes.
- Amazon Q Developer also provides improved context control by allowing users to specify folders, files, functions, and variables to include in conversations.
- By utilizing symbols like '@', users can ensure that the relevant code components are considered for more precise responses.
- These new features aim to enhance developers' efficiency and help them maintain a smooth development flow even across longer periods.
- Amazon Q Developer continues to evolve to empower developers with tools that streamline their coding experience.
- Users can access these features in VS Code by referring to the Amazon Q Developer Getting Started guide.
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Medium
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Welcome to Another Insightful Tech Guide!
- Different browsers like Google Chrome, Mozilla Firefox, and Microsoft Edge offer unique features for real-time collaboration.
- Powerful collaboration tools such as Microsoft Teams, Slack, and Trello enhance teamwork for IT professionals.
- Embracing the right browsers and tools can maximize productivity and drive success in the tech industry.
- Real-time collaboration is essential for IT professionals to improve workflow integration and communication within teams.
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Pcgamer
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Steam's monthly top-seller list is automated now, and goes all the way back to 2004 when it's just Half-Life 2
- Steam has automated its monthly top-seller list, going back to 2004 when Half-Life 2 was the top release.
- The top releases on Steam this month include Oblivion Remastered, The Last of Us 2, Clair Obscur: Expedition 33, and Blue Prince.
- The new automated lists will be published on the 15th of each month based on the first two weeks of revenue for games released during the month.
- Each list will contain 50 entries, including DLC if it sells well enough, and can be browsed backward to see historical top sellers on Steam.
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Idownloadblog
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Alfiecg_dev shares details about an updated untethered iOS 14 jailbreak that uses the Trigon exploit
- Security researcher @alfiecg_dev introduces an updated untethered iOS 14 jailbreak using the Trigon exploit.
- The original Trigon exploit had limited support for older devices and firmware due to a kernel panic issue with A11 devices, which has now been resolved.
- The newer version of Trigon now supports A7-A9 and A11 devices, offering increased stability, faster response time, and cleaned up code.
- While the updated Trigon exploit will be released for all arm64 devices in the future, there is no specific timeline provided by @alfiecg_dev yet.
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Medium
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Succinct Stage 2: From Learning Zero-Knowledge to Powering It
- Succinct introduces Stage 2, 'Prove with Us,' a major leap in decentralizing the proving layer of the blockchain.
- Stage 2 shifts community focus from learning to active participation by running prover nodes in the Succinct Prover Network.
- The initiative aims to build a scalable, secure, and verifiable blockchain future by involving the community in generating and verifying zero-knowledge proofs.
- Individuals can get involved by visiting the Succinct Blog, joining Discord, or following @SuccinctLabs for updates, enabling them to contribute to the world's first community-operated proving network.
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Towards Data Science
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Google’s AlphaEvolve Is Evolving New Algorithms — And It Could Be a Game Changer
- Google's AlphaEvolve is a system that generates and evolves code, allowing it to discover new algorithms and revolutionize coding and algorithm design, powered by Google's Gemini models.
- AlphaEvolve functions like natural selection for software using Genetic Algorithms, refining code iteratively through intelligent prompting, creative mutation, survival of the fittest, breeding of top programs, and repetition.
- Building on previous attempts like AlphaCode and FunSearch, AlphaEvolve utilizes Gemini's capabilities to tackle entire codebases and has diverse applications in optimizing efficiency and designing AI chips.
- AlphaEvolve demonstrated results like optimizing Google's data centers, designing better AI chips, accelerating AI training, and rediscovering human solutions in mathematics problems.
- One significant implication of tools like AlphaEvolve is the potential for AI to self-improve and accelerate progress towards more powerful artificial intelligence models.
- AlphaEvolve could represent a paradigm shift in various fields by becoming a creative partner in discovery and innovation, moving towards AI that creates code entirely and aids in solving complex problems.
- The future holds possibilities where AI evolves and discovers optimal solutions, leading to unexpected advancements, and the next few years are anticipated to be transformative in the field of AI.
- References and related reads are available on DeepMind's blog post and white paper on AlphaEvolve, showcasing its potential in computational chemistry, biology, data analysis, and plotting through natural language requests.
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Idownloadblog
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Epic Games pulls and re-submits Fortnite app submission to iOS App Store as Apple stalls
- Epic Games resubmitted Fortnite to Apple's App Store following a judge's ruling against Apple's commission fees on in-app purchases.
- The re-submission was done under a Swedish developer account due to Epic Games' US account ban.
- A new Fortnite update with new content requires an app update, leading Epic Games to pull and re-submit the app to Apple.
- Apple has neither accepted nor rejected the re-submitted Fortnite app yet, leaving the outcome uncertain for iOS users.
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Towards Data Science
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Understanding Random Forest using Python (scikit-learn)
- Decision trees are a popular supervised learning algorithm, but are prone to overfitting, leading people to use ensemble models like Random Forests.
- Bagging involves creating multiple training sets from the original dataset by bootstrapping and aggregating multiple decision trees.
- Random Forests differ by randomly selecting features at each decision node, reducing overfitting and improving generalization.
- Random Forests utilize sampling with replacement for bootstrapped datasets and sampling without replacement for feature selection.
- Out-of-Bag (OOB) evaluation allows estimating generalization error by excluding some training data from each tree.
- Training a Random Forest includes creating a baseline model, tuning hyperparameters with Grid Search, and evaluating the final model.
- Feature importance in Random Forests can be calculated using Mean Decrease in Impurity or Permutation Importance methods.
- Visualizing individual decision trees in a Random Forest can illustrate how differently each tree splits the data.
- Random Forests remain popular for tabular data analysis due to their simplicity, interpretability, and parallelizability.
- The tutorial covers bagging, Random Forest differences, training, tuning, feature importance, and visualization using Python with scikit-learn.
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Towards Data Science
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How to Learn the Math Needed for Machine Learning
- To work in machine learning, strong math skills are generally required, with the extent depending on the specific role.
- Research-based roles like Research Engineer or Research Scientist demand solid math proficiency.
- Large corporations conducting AI research require math skills equivalent to a bachelor's or higher degree in relevant subjects.
- For industry roles like machine learning engineers, high school math knowledge suffices, with some areas like reinforcement learning needing more focus.
- Key math areas for machine learning include Statistics, Calculus, and Linear Algebra.
- In Statistics, topics like Descriptive Statistics, Probability Distributions, and Hypothesis Testing are crucial.
- Calculus is essential for understanding gradient descent in machine learning algorithms.
- Linear Algebra is widely used in machine learning, especially in deep learning models.
- Recommended resources for learning math for machine learning include textbooks and online courses.
- Effective learning strategies include breaking down topics, active learning through note-taking, and reviewing concepts regularly.
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Medium
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The Prodigal Return: How Product Management Reclaimed Agile’s Lost Soul
- The Agile Manifesto, created over two decades ago, emphasized individuals, collaboration, working software, and adaptability as core values.
- Despite the initial principles, the tech industry lost focus along the way, with many viewing Product Management as a necessary evolution to address Agile's limitations.
- However, Product Management is not just a successor to Agile but a spiritual homecoming, bringing back values like empathy and purpose that Agile originally stood for.
- Drawing parallels to the biblical parable of the prodigal son, the return to a more human-centric approach in Product Management symbolizes a redemption from the pursuit of speed and certainty over wisdom.
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Knowridge
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Scientists discover onion-like nanoparticles in aircraft exhaust
- Researchers discovered onion-like nanoparticles in aircraft exhaust during emission tests at Zurich Airport in Switzerland.
- The nanoparticles were identified through high-resolution transmission electron microscopy and were found to have unique structures.
- These onion-like particles, along with amorphous and trace amorphous particles, were volatile and likely originated from the aircraft's lubrication oil.
- The discovery raises questions about their impact on atmospheric chemistry, human health, and calls for further studies to understand their effects on climate and health.
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Engadget
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TikTok will try to force teens to meditate after 10PM
- TikTok introduced an in-app meditation feature for teens to 'wind down' after 10PM, now made official for all users.
- Teens will encounter a full-screen 'guided meditation exercise' when scrolling after 10PM, with an option to ignore but face a harder to dismiss prompt.
- Previous tests of 'Sleep Hours' showed 98 percent of teens chose to keep the late-night meditation settings on.
- TikTok has improved safety features like parental controls amidst ongoing scrutiny, with its fate in the US still uncertain.
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