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the myth of multitasking and other things i learned today
lollar.bearblog.dev·2h
⏭️Skip Lists
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Donald Knuth’s 2025 Christmas Lecture: The Knight’s Tours
denvermobileappdeveloper.com·22h·
Discuss: DEV
🕸️Graph Theory
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Eertree – An Interactive Guide
ufukhaciogullari.com·5h·
Discuss: Hacker News, r/programming
🪢Rope Data Structure
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<p>**Abstract:** This paper introduces a novel framework, Automated Protocol Refinement for Enhanced Algorithm Validation (APREAV), to significantly improve the...
freederia.com·10h
🌀Naiad
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[Discussion] The "Noise" Bottleneck in Local 8B RAG – A comparison of cleaning strategies (Regex vs. Unstructured vs. Entropy)
reddit.com·2h·
Discuss: r/LocalLLaMA
📊HyperLogLog
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Xmas Tree? Sorted!
i-programmer.info·2d
🎰Treap
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📊Information Theory
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🔄Memory Ordering
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A remarkable computation
cameroncounts.wordpress.com·4d
🕸️GraphBLAS
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Software Architecture with C++: Designing robust C++ systems with modern architectural practices, Edition 2 by Andrey Gavrilin, Adrian Ostrowski, Piotr Gaczkowski
play.google.com·2d·
Discuss: r/cpp
🔨Incremental Compilation
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Hard Homework!!!
pballew.blogspot.com·2d·
Discuss: www.blogger.com
📊Algorithms
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word2vec Explained: deriving Mikolov et al.'s negative-sampling word-embedding method
paperium.net·2d·
Discuss: DEV
🧮Embeddings
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wwes4/AI_Accel_1.5x: AI acceleration framework for ~1.5x speedups in mid-sized models via tension-based pruning. Built utilizing xAI's Grok.
github.com·1d·
Discuss: Hacker News
🦀Rayon
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Towards a General Framework for Predicting and Explaining the Hardness of Graph-based Combinatorial Optimization Problems using Machine Learning and Association Rule Mining
arxiv.org·2d
🕸️GraphBLAS
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Running Code and Failing Models – Rajiv Shah
projects.rajivshah.com·1d
📱Edge AI
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Building a Heartbeat-style Gossip Node Network: Failure Detection in Distributed Systems
dev.to·1d·
Discuss: DEV
💬Gossip Protocols
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Built a local vector database for RAG that handles datasets bigger than RAM
github.com·2d·
Discuss: r/LocalLLaMA, r/selfhosted
🦆Daft
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The Garbage Collection Handbook
gchandbook.org·5d
🗑️Garbage Collection
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
📝NLP
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Pandas vs Polars: Why the 2025 Evolution Changes Everything
dev.to·5h·
Discuss: DEV
🐻‍❄️Polars
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