Transducer: Composition, Abstraction, Performance
funktionale-programmierung.de·1d·
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λFunctional Programming
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Using Coding Agents to Decompile Nintendo 64 Games
blog.chrislewis.au·46m·
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🔓Binary Exploitation
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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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📱Edge AI
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Why is AI Generated Rust slow when compared with Go/C#/Node/JavaScript
srid68.github.io·21h·
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🦀Rust
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Prog8
github.com·20h·
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💾Retro Computing
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A Systematic Literature Review of Code Hallucinations in LLMs: Characterization, Mitigation Methods, Challenges, and Future Directions for Reliable AI
arxiv.org·1d
⚙️JIT Compilation
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The Learning Loop and LLMs
martinfowler.com·22h·
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💬Prompt Engineering
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News for October 2025
ptreview.sublinear.info·1d
✅Property Testing
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Disassembling Terabytes of Random Data with Zig and Capstone to Prove a Point
jstrieb.github.io·2h·
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🔓Binary Exploitation
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Continuous Autoregressive Language Models
shaochenze.github.io·9h·
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📱Edge AI
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Cons Should Not Cons Its Arguments, Part II: Cheney on the MTA
web.archive.org·2d·
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λFunctional Programming
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Low-Level Hacks
blog.raycursive.com·1d·
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🦀Rust
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TypeScript Rewrote Itself in Go?! What That “10x Faster” Hype Really Means
dev.to·7h·
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🦕Deno
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BoxLambda OS Software Architecture, First Draft
epsilon537.github.io·9h·
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💻Operating Systems
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Benchmarking the cost of Java's EnumSet - A Second Look
kinnen.de·17h·
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📏Linear Types
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PDE-SHARP: PDE Solver Hybrids Through Analysis & Refinement Passes
arxiv.org·1d
🧮SMT Solvers
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·19h·
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🎴TAO
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GrowthHacker: Automated Off-Policy Evaluation Optimization Using Code-Modifying LLM Agents
arxiv.org·1d
🚀MLOps
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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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💬Prompt Engineering
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Creating Lisp Systems
renato.athaydes.com·5h·
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🏭Code Generation
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