Beyond Benchmarks: Testing Open-Source LLMs in Multi-Agent Workflows
blog.scottlogic.com·1d
⚡Performance Mythology
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A Vision for Future Low-Level Languages
🦀Rust Borrowing
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Interpretable Next-token Prediction via the Generalized Induction Head
arxiv.org·21h
🧮Kolmogorov Complexity
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Implementing Minimax for Game AI: From Basic Algorithm to Optimized Search
🔲Cellular Automata
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Building Better Software: Why Workflows Beat Code Every Time • Ben Smith & James Beswick • GOTO 2025
youtube.com·12h
🔄Reproducible Builds
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Ken Thompson's "Trusting Trust" compiler backdoor - Now with the actual source code (2023)
💻Programming languages
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Neural Networks for Chess
⚡Homebrew CPUs
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How to Auto-optimize Prompts for Domain Tasks? Adaptive Prompting and Reasoning through Evolutionary Domain Knowledge Adaptation
arxiv.org·21h
🔗Constraint Handling
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We Programmers Need "Results"
📜Proof Carrying Code
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Bridging Language Gaps with Adaptive RAG: Improving Indonesian Language Question Answering
arxiv.org·21h
🧮Kolmogorov Complexity
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The New Calculus of AI-based Coding
🔄Reproducible Builds
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Amortized Active Generation of Pareto Sets
arxiv.org·21h
🔲Cellular Automata
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How to organize your Rust tests
🦀Rust Macros
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Don’t Make Assumptions About Assertions: Even with AI you still have to write your unit tests
🔍Concolic Testing
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Dynamic Decisions: Making Memory-Efficient AI a Reality with Differentiable Algorithms by Arvind Sundararajan
⚡Incremental Computation
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Scalpel: Automotive Deep Learning Framework Testing via Assembling Model Components
arxiv.org·21h
🐛Fuzzing
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