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HackerNoon

AI Coding Assistants Learn Some Manners with Read-Only Mode

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The Tortoise and the Hare: An Unexpected Scheduling Race Between MILP and CP Solvers

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Pitting Heuristics Against Exact Solvers in the Flexible Job Shop Gauntlet

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How to Implement Lazy Loading Images and Videos in JavaScript

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The Great Bitcoin Abstraction: BlackRock's Plan to Tokenize Your ETF—And Why You Might Own Nothing

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How to Handle Migrations in Express Using Sequelize

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The HackerNoon Newsletter: Cypherpunks Write Code: Zooko Wilcox Zcash (9/21/2025)

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Research Round Up: On Anonymization -Creating Data That Enables Generalization Without Memorization

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The Death of Persuasion: Why Future Marketers Must Master Psychological Warfare

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Cracking the Code: Lessons I Learned About VCs, Pitch Decks, and Building a Product Mindset

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Spacecoin Saving Lives with Decentralized Connectivity

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Transitive Dependency Version Resolution in Rust and Java: Comparing the Two

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How to Use Sound and AI to Protect the Environment

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he Extinction Equation: What Happens When Advection Goes Too Far?

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The Simple River Measurement That Predicts Ecosystem Collapse

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The Mathematics of Life and Death

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The Math Behind Persistence and Extinction in Freshwater Ecosystems

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The TechBeat: Making LLMs Efficient: Reducing Memory Usage Without Breaking Quality (9/21/2025)

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Inside the Fake Dev Job Interview Industry

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The Geek’s Guide to ML Experimentation

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Can PEAR Make Deep Learning Easier to Trust?

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Consensus Loss Proves AI Can Be Both Accurate and Transparent

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The Trade-Off Between Accuracy and Agreement in AI Models

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Notes on Training Neural Networks for Consensus

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New AI Study Tackles the Transparency Problem in Black-Box Models

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Pattern #2: From Implementation to Intent

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Want AI to Write Code That Doesn’t Break Everything? Follow These 3 Patterns

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