Easel's State-of-the-Art Rollback Netcode Implementation
easel.games·15h·
Discuss: Hacker News
Circuit Breakers
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Shifting Gears: What TDD Taught Me About Using AI Assistants
tddbuddy.com·2d·
Discuss: DEV
🔴Test-Driven Development
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Jim Weirich's Short License
github.com·7h·
Discuss: Hacker News
📦Nixpkgs
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🚪 Exit the Tutorial Hell: From Imitation to Imagination
dev.to·2d·
Discuss: DEV
🔗Systems Thinking
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Modeling Unsteady Aircraft Aerodynamics Using Lorenz Attractor: A Reduced-Order Approach for Wing Rock
arxiv.org·17h
🌪️Chaos Engineering
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Peering inside the black box by learning the relevance of many-body functions in neural network potentials
nature.com·1d
🤖Scikit-learn
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Robust Linear Design for Flight Control Systems with Operational Constraints
arxiv.org·17h
🗺️Flight Management Systems
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Adiabatic state preparation from general initial states
arxiv.org·17h
🎲Property-Based Testing
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fastTinker: A Multi-Language Desktop Playground for Rapid Prototyping
dev.to·11h·
Discuss: DEV
🐌SLIME
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Can Models be Evaluation Aware Without Explicit Verbalization?
lesswrong.com·3d
🎲Property-Based Testing
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Ask HN: What's your top-recommended tuts for chatbot dev with local-hosted LLMs?
news.ycombinator.com·3h·
Discuss: Hacker News
🔗Parser Combinators
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Episode 1: Arrays — The Hidden Logic Behind How Your Code Remembers
dev.to·2d·
Discuss: DEV
🧩Memory Pooling
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SPOT: An Annotated French Corpus and Benchmark for Detecting Critical Interventions in Online Conversations
arxiv.org·17h
🔗Parser Combinators
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From Catastrophic to Concrete: Reframing AI Risk Communication for Public Mobilization
arxiv.org·17h
🌪️Chaos Engineering
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Where should I put the code for my controls?
reddit.com·2d·
Discuss: r/godot
🌿Branch Tables
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RAG vs Fine‑Tuning: A Simple, Practical Guide for Beginners
dev.to·1d·
Discuss: DEV
🎲Property-Based Testing
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On the Mechanisms of Collaborative Learning in VAE Recommenders
arxiv.org·17h
💾information theory
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NFL best bets Week 11: A counterintuitive play for Lions-Eagles
nytimes.com·6h
💳personal finance
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Emergent Misalignment via In-Context Learning: Narrow in-context examples canproduce broadly misaligned LLMs
paperium.net·2d·
Discuss: DEV
🔗Parser Combinators
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