‘How Did Somebody Make This?’
pxlnv.com·1d
🏺Media Archaeology
Unlocking Faster Insights with Experimenter-Defined Segmentations
etsy.com·3d
📝Document Chunking
My Top 5 Favourite Features in Python 3.14
blog.codingconfessions.com·18h
🦀Rust Macros
I Wrote an Imagemagick Field Guide for Myself, You Might Find It Useful
joeldare.com·1d·
Discuss: Hacker News
📸PNG Optimization
Printing Petscii Faster
retrogamecoders.com·1d·
Discuss: Hacker News
📺VT100
Meet Amazon Quick Suite: The agentic AI application reshaping how work gets done
aboutamazon.com·2d·
Discuss: Hacker News
🌊Streaming Systems
Laion, the dataset behind Stable Diffusion (2023)
deeplearning.ai·21h·
Discuss: Hacker News
🎓Academic Torrents
CIR-CoT: Towards Interpretable Composed Image Retrieval via End-to-End Chain-of-Thought Reasoning
arxiv.org·1d
🧮Vector Embeddings
Best AI meeting assistants for small teams
dev.to·1d·
Discuss: DEV
🎙️Whisper
SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
arxiv.org·1d·
Discuss: r/LLM
💻Local LLMs
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·4h·
Discuss: DEV
📊Multi-vector RAG
Proposal: Deconfig – Distributed Git Infrastructure with Durable Objects
github.com·2d·
Discuss: Hacker News
📦Git LFS
ACMID: Automatic Curation of Musical Instrument Dataset for 7-Stem Music Source Separation
arxiv.org·1d
🎵Audio Formats
ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping
arxiv.org·1d
🧮Kolmogorov Complexity
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·2d·
Discuss: DEV
🗄️Database Internals
Title: Anthropic's Claude AI Model Now Supports Longer Prompts with a Million-Token Context Window
dev.to·2h·
Discuss: DEV
🤖Lisp Machines
I built a translator for spatial thinking (because I can't interview in Python)
graemefawcett.ca·1d·
Discuss: Hacker News
🔗Concatenative Programming
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
📊Multi-vector RAG
Is Architectural Complexity Always the Answer? A Case Study on SwinIR vs. an Efficient CNN
arxiv.org·1d
🤖Advanced OCR