Interview with Aaron Patterson [audio]
podcast.drbragg.dev·13h·
Discuss: Hacker News
🔧Nickel
Fighting human trafficking with self-contained applications
lwn.net·1d·
Discuss: Hacker News
🎯99-Line Tools
Chapter 4: LLM Providers
cline.ghost.io·10h
🥾Bootstrapping Strategies
[NodeBook] Understanding Buffers in Node.js - Why they exist, where they live in memory, and how they handle binary data
thenodebook.com·1d·
Discuss: r/node
🔢Binary Formats
Securing and Scaling AI-Powered APIs
capestart.com·1d·
Discuss: Hacker News
🛡️Capability VMs
Singapore Inventor Unveils Pieces of Eight (P8): AI That Learns from Just Eight Samples
einpresswire.com·11h
🗺️Region Inference
Necessary tool? Async LoRA for distributed systems
news.ycombinator.com·1d·
Discuss: Hacker News
📡Erlang BEAM
Be Engineering Insights: Adventures in Graphics Drivers
haiku-os.org·15h·
Discuss: Hacker News
💾Register Pressure
Boring Is Good
jenson.org·1d·
Discuss: Hacker News
🌱Minimal ML
Performance of Row-major 1D Array vs. 2D Array in C
reddit.com·2h·
📚Stack Allocation
Lambda Explained: A Visual Journey from Init to Invoke
dev.to·2h·
Discuss: DEV
📦Closure Conversion
Enterprise Design Patterns: Building Scalable Applications
dev.to·3d·
Discuss: DEV
🔢Algebraic Datatypes
Enhanced Genome Sequencing Accuracy via Adaptive Hyperdimensional Neural Networks (AHNNs)
dev.to·17h·
Discuss: DEV
📋JSON Parsing
Why I Still Reach for C for Certain Projects
dev.to·11h·
Discuss: DEV
🪄C Metaprogramming
Pleasant Imperative Program Proofs with GallinaC
arxiv.org·45m
📜Proof Languages
Primed for Performance: Turbocharging Transformers for Time Series Analysis by Arvind Sundararajan
dev.to·13h·
Discuss: DEV
🌪️V8 TurboFan
InfoGain-RAG: Boosting Retrieval-Augmented Generation via Document Information Gain-based Reranking and Filtering
arxiv.org·45m
🔍ML Language
A Graph Machine Learning Approach for Detecting Topological Patterns in Transactional Graphs
arxiv.org·45m
🔗Graph Rewriting
The power of dynamic causality in observer-based design for soft sensor applications
arxiv.org·1d
Control Synthesis
Mutual Information Tracks Policy Coherence in Reinforcement Learning
arxiv.org·2d
🪜Recursive Descent