🌀 Scheme

Tail Call Optimization, Continuations, Hygiene, Educational Lisp

Speeding up my Ray Tracer using JAX
kayleegeorge.github.io·13h·
Discuss: Hacker News
🔍Lens Libraries
List Vs. Tuple: Understanding The Differences In Python - Maine News Online
mainenewsonline.com·22h
🐍CPython Internals
Linkage
11011110.github.io·14h
🧮Combinator Calculus
Which LLM Should I Use as a Developer?
idiallo.com·1d
🎮Language Ergonomics
The Capability-Tractability Tradeoff (2023)
buttondown.com·3d·
Discuss: Hacker News
⚡Partial Evaluation
LLMs on a Shoestring: The Dynamic Cache Advantage by Arvind Sundararajan
dev.to·20h·
Discuss: DEV
💾Cache Algorithms
Learn How to Use Transformers with HuggingFace and SpaCy
towardsdatascience.com·17h
📊Pratt Parsers
I built an LLM from Scratch in Rust (Just ndarray and rand)
github.com·1d·
Discuss: Hacker News, r/LLM, r/rust
🌱Minimal ML
Coco – Solving the Expression Problem in Standard OO (Java, C#, Scala, ..)
drops.dagstuhl.de·4d·
Discuss: Hacker News
🔮Type Inference Visualization
MiniRust
github.com·3d·
Discuss: Hacker News
🦀MIR Optimization
Productive AI Programming Using Forced Context Distillation
jx0.ca·18h·
Discuss: Hacker News
💬Interactive REPLs
Efficient Polynomial Identity Testing Over Nonassociative Algebras
arxiv.org·2h
🔢Algebraic Datatypes
Demystifying React Hooks with a Fun Password Generator
dev.to·1d·
Discuss: DEV
📋Template Compilers
Secure Semantic Communication over Wiretap Channels: Rate-Distortion-Equivocation Tradeoff
arxiv.org·2h
♾️Codata Types
What happens when you run a program?
dev.to·14h·
Discuss: DEV
📜Bytecode Interpreters
why is rust not being utilized to its full potential?
reddit.com·1h·
Discuss: r/rust
⚙️TOML Parsers
How Coding Agents Actually Work: Inside Opencode
cefboud.com·5h·
Discuss: r/programming
🎮Language Ergonomics
Imitation Learning as Return Distribution Matching
arxiv.org·2h
🪜Recursive Descent
GB/s Level Editable DOM JSON Engine: The Architectural Philosophy Behind LJSON
github.com·1h·
Discuss: DEV
📋JSON Parsing
LLM in the Middle: A Systematic Review of Threats and Mitigations to Real-World LLM-based Systems
arxiv.org·2h
🔍ML Language