LFCS Seminar Tuesday 1st July: John Longley
informatics.ed.ac.uk·2d
💻Programming languages
Song recommendations from F# combinators
blog.ploeh.dk·2d
🔗Functional Compilers
ByteSpan: Information-Driven Subword Tokenisation
arxiv.org·1d
📝ABNF Parsing
Portable Network Graphics (PNG) Specification (Third Edition)
w3.org·22h·
Discuss: Hacker News
🕸️WebP Analysis
The Interactive Handbook on Data Structures and Algorithms
cartesian.app·1d·
Discuss: Lobsters, Hacker News, Hacker News
🌳Trie Structures
The Nature of Lisp, Code Generation and Wieldable Programming Power
pankajpipada.com·9h·
Discuss: Hacker News, r/programming
🔗Lisp
On Union-Closedness of Language Generation
arxiv.org·1d
🔗Monadic Parsing
Exploring High Efficiency Web Analysis Results（1750876031390300）
dev.to·59m·
Discuss: DEV
🌊Stream Processing
Shrinking the Generation-Verification Gap with Weak Verifiers
arxiv.org·1d
🧪CBOR Fuzzing
In which I write a library-quality B+ tree with the genies
tidyfirst.substack.com·4h·
Discuss: Substack
🦀Rust Macros
Programming Entry Level: how to interpreter
dev.to·20h·
Discuss: DEV
🔗Lisp
A Lisp adventure on the calm waters of the dead C (2021)
mihaiolteanu.me·1d·
Discuss: Lobsters, Hacker News, r/programming
🔗Lisp
Deep Dive into Databend UDF, implementing your data solutions with Python, WASM
databend.com·5h·
Discuss: Hacker News
📋DFDL
Solving LinkedIn Queens Using Haskell
imiron.io·1d·
Discuss: Lobsters, Hacker News, r/programming
λLambda Formalization
How much slower is random access, really?
samestep.com·2d·
Discuss: Hacker News
📼Tape Encoding
The Guide to the Foundation Models Framework
azamsharp.com·6h·
Discuss: Hacker News
λLambda Formalization
Programming by Backprop: LLMs Acquire Reusable Algorithmic Abstractions During Code Training
arxiv.org·1d
💻Local LLMs
Algorithm Complexity: Time, Space, and Big-O Notation
dev.to·9h·
Discuss: DEV
🧮Kolmogorov Complexity
Machine Learning Fundamentals: accuracy with python
dev.to·1d·
Discuss: DEV
👁️Observatory Systems
PATCH! {P}sychometrics-{A}ssis{T}ed Ben{CH}marking of Large Language Models against Human Populations: A Case Study of Proficiency in 8th Grade Mathematics
arxiv.org·15h
🧠Intelligence Compression