When AI optimizations miss the mark: A case study in array shape calculation
questdb.com·8h·
Discuss: Hacker News, r/programming
🎲procedural generation
how to decide on the sequence of computable numbers
academia.edu·18h·
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📚Programming language theory
Iterative DFS with stack-based graph traversal
dwf.dev·3h·
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📚Programming language theory
Discrete optimization for on-call scheduling (2021)
rainforestqa.com·4h·
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🌐Distributed systems
original ↗
pvk.ca·2d·
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📚Programming language theory
Simpler Category Theory
ryanbrewer.dev·1d·
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📚Programming language theory
Pact: Head-to-head negotiation benchmark for LLMs
github.com·4h·
Discuss: Hacker News, r/LocalLLaMA
🌐Distributed systems
For which cases does AI help with classification (medical diagnosis example)?
statmodeling.stat.columbia.edu·7h
👁️computer vision
A Systematic Study of Post-Training Quantization for Diffusion LLMs
arxiv.org·19h·
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📚Programming language theory
How do LSM Trees work?
rowjee.com·1d·
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🌐Distributed systems
Compute Where It Counts: a trainable LLM sparsity enabling 4x CPU speed
crystalai.org·1d·
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👁️computer vision
Double Maths First Thing: Issue 32
aperiodical.com·1d
🧠Meta-creativity
Quantifying Baseball Pitch Tunneling with K-Nearest Neighbors
runningonnumbers.com·1d·
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👁️computer vision
Cabinet: Dynamically Weighted Consensus Made Fast
muratbuffalo.blogspot.com·11h·
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🌐Distributed systems
"Python for Those Who Cannot Even", a Book by Claude Code
github.com·1h·
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📚Programming language theory
Building Code Retrieval for Claude Code from Scratch
zc277584121.github.io·2d·
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🛠️Creative Coding Frameworks
Linkage from Toronto
11011110.github.io·6d
📚Programming language theory
Contrasting Data and Objects (2018)
tedinski.com·15h·
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📚Programming language theory
Dyna – Logic Programming for Machine Learning
dyna.org·5d·
Discuss: Lobsters, Hacker News, r/compsci
📚Programming language theory
Show HN: I built a toy TPU that can do inference and training on the XOR problem
tinytpu.com·3d·
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⚡Real-time Graphics