Would You Use If() functions in CSS?
blog.logrocket.com·18h
🔀Control Structures
Dimensional Analysis in Programming Languages (2018)
gmpreussner.com·2d·
Discuss: Hacker News
🔢Algebraic Datatypes
Recurse Checkins
404wolf.com·2d
🔄Bootstrapping
GPT-5-Codex is a better AI researcher than me
seangoedecke.com·1d·
Discuss: Hacker News
🌱Minimal ML
Aligning Language Models with Clinical Expertise: DPO for Heart Failure Nursing Documentation in Critical Care
arxiv.org·3h
🏗️MLIR
RAG Chunking Strategies That Actually Work (and Why Most Don’t)
dev.to·22h·
Discuss: DEV
🚀Tokenizer Performance
The Alignment Auditor: A Bayesian Framework for Verifying and Refining LLM Objectives
arxiv.org·3h
🔍ML Language
Python 3.14 Released with Template String Literals, Deferred Annotations, and
socket.dev·9h·
Discuss: Hacker News
📝Rope Editors
Automated Verification of Code Logic & Security Vulnerabilities via Hyperdimensional Semantic Analysis
dev.to·2d·
Discuss: DEV
🌳Pattern Match Compilation
BanglaLlama: LLaMA for Bangla Language
arxiv.org·3h
🌱Minimal ML
Radar Trends to Watch: October 2025
oreilly.com·19h
🎭Program Synthesis
Just finished learning Go basics — confused about two different ways of handling errors.
reddit.com·3h·
Discuss: r/golang
🚂Error Monads
Efficient Test-Time Scaling for Small Vision-Language Models
arxiv.org·1d
🪜Recursive Descent
Can LLMs Detect Ambiguous Plural Reference? An Analysis of Split-Antecedent and Mereological Reference
arxiv.org·1d
🔤Language Tokenizers
KEO: Knowledge Extraction on OMIn via Knowledge Graphs and RAG for Safety-Critical Aviation Maintenance
arxiv.org·3h
🎭Erlang OTP
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
arxiv.org·3h
🎭Racket
InstaGeo: Compute-Efficient Geospatial Machine Learning from Data to Deployment
arxiv.org·3h
📈Earley Parsing
Mechanisms for Quantum Advantage in Global Optimization of Nonconvex Functions
arxiv.org·1d
⚡Partial Evaluation
Cost-Controllable AI Applications: Litho's Cache Optimization and Cost Control Strategies
github.com·6h·
Discuss: DEV
📚Self-Documenting Code
BioAutoML-NAS: An End-to-End AutoML Framework for Multimodal Insect Classification via Neural Architecture Search on Large-Scale Biodiversity Data
arxiv.org·3h
🔍ML Language