Async Programming, Threading, Parallel Computing, Race Conditions

Show HN: I built a way to debug your deployed code on Vercel from your AI IDE
getreturn0.com·1h·
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Performance
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How an Attacker Drained $128M from Balancer Through Rounding Error Exploitation
research.checkpoint.com·11h
Performance
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PyTorch Team Introduces Cluster Programming
i-programmer.info·1d
Performance
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The Web Animation Performance Tier List
motion.dev·5h·
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5 Lessons the Semiconductor Industry Can Learn from Gaming
semiwiki.com·6h
Performance
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The Exhaust Port of Cohesion: Precision Provocation in LLMs
blog.gopenai.com·1d·
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🌐WebAssembly
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Jeff Su: 4 Next-Level ChatGPT Techniques (Save 15+ Hours Weekly)
youtube.com·1d·
Discuss: DEV
🎨UI Design
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BoxLambda OS Software Architecture, First Draft
epsilon537.github.io·20h·
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🖥Mac
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CHIP8 – writing emulator, assembler, example game and VHDL hardware impl
blog.dominikrudnik.pl·2d·
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🍎iOS
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Detailed Technical Documentation on AI Implementation Logic (Taking Large Language Models as an Example )
nbtab.com·1d·
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Performance
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A Project Is Not a Bundle of Tasks
secondthoughts.ai·1d·
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pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
arxiv.org·2d
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SAIL-RL: Guiding MLLMs in When and How to Think via Dual-Reward RL Tuning
arxiv.org·19h
Performance
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·19h
Performance
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The Art of the Meta: A Journey into JavaScript Proxies
dev.to·2d·
Discuss: DEV
🌐WebAssembly
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Reliability assessment of multi-performance system incorporating multiple common buses and transformation devices
sciencedirect.com·1d
Performance
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·1d·
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Identifying Linux Kernel Instability Due to Poor RCU Synchronization
arxiv.org·1d
Performance
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Hyper Hawkes Processes: Interpretable Models of Marked Temporal Point Processes
arxiv.org·1d
Performance
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Learn How to Lower Heroku Dyno Latency through Persistent Connections (Keep-alive)
heroku.com·1d
🔌API Development
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