[Project] Modular IPTV/EPG platform with custom virtualization, Rust/WASM parser and Android native bridge
reddit.com·20h·
Discuss: r/rust
🚀Actix
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Best practices for abstracting large go func(){}() blocks in Go? Handling many parameters, closures, and concurrency.
reddit.com·1d·
Discuss: r/golang
🔵Go
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Lossless Compression with Asymmetric Numeral Systems (2020)
bjlkeng.io·5d·
Discuss: Hacker News
🗜️Compression Algorithms
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Can Language Models Optimize Real-World Repositories on Real Workloads?
swefficiency.com·4h·
Discuss: Hacker News
📊Profile-Guided Optimization
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I Failed, Failed, and Succeeded at Learning How to Code (2011)
theatlantic.com·2d·
Discuss: Hacker News
💾Retro Computing
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Introduction to FPGA and Verification of FPGA-based designs
future.forem.com·3d·
Discuss: DEV
⚡Hardware Acceleration
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Rippling's Gunicorn pre-fork journey – Rippling
rippling.com·1d·
Discuss: Hacker News
🎆Firecracker
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The Secret Behind Fast LLM Inference: Unlocking the KV Cache
pub.towardsai.net·1d
⚡Cache Optimization
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Let’s bring Q-learning to life!
pub.towardsai.net·3h
💬Prompt Engineering
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⛓️‍💥Chaining Veo 3.1 and NanoBanana with Gemini
dev.to·10h·
Discuss: DEV
💬Prompt Engineering
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The Flaw in the Paperclip Maximizer Thought Experiment
lesswrong.com·10h
🔀Procedural Generation
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You're Handling Python Strings Wrong. It's Time for a Deep Dive.
dev.to·18h·
Discuss: DEV
📝Suffix Arrays
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How Orbs Is Turning Base Network DEXs Into Perpetual Futures Powerhouses
hackernoon.com·3d
🌐Axum
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Undissolvable Problems: things that still confuse me
lesswrong.com·2d
∘Category Theory
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Architecting Large-Scale AWS Migrations Using AWS Application Migration Service (MGN) & Cloud Studio 2.0
dev.to·8h·
Discuss: DEV
☸️Kubernetes
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Supervised fine-tuning as a method for training-based AI control
lesswrong.com·1d
🛡️AI Security
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Kimi K2 Thinking vs. Claude 4.5 Sonnet vs. GPT-5 Codex: Tested the best models for agentic coding
dev.to·1d·
Discuss: DEV
🕵️Jaeger
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Meta-Optimized Continual Adaptation for heritage language revitalization programs with inverse simulation verification
dev.to·1d·
Discuss: DEV
💬Prompt Engineering
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Waveform Design for Over-the-Air Computing
arxiv.org·2d
🏗️System Design
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Belief Net: A Filter-Based Framework for Learning Hidden Markov Models from Observations
arxiv.org·1d
📱Edge AI
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