Lisa Fagin Davis’ “The Materiality of the Voynich Manuscript”…
ciphermysteries.com·13h
🏰Manuscript Networks
The Health Effects of Electromagnetic Radiation
huijzer.xyz·14h·
📄PostScript
We built AI that auto-checks building plans
planchecksolver.com·1d·
Discuss: Hacker News
🔄Reproducible Builds
LLM Optimization Notes: Memory, Compute and Inference Techniques
gaurigupta19.github.io·5d·
Discuss: Hacker News
💻Local LLMs
State of Opinion – Programming Languages – Autumn 2025 Edition
xlii.space·12h·
Discuss: Hacker News
🔗Concatenative Languages
ALimiter
github.com·1d
🧠Memory Allocators
Streamlining Operations: The Role of AI-Powered Automation in Modern Enterprises
dev.to·18h·
Discuss: DEV
🌊Stream Processing
Addressing the ID-Matching Challenge in Long Video Captioning
arxiv.org·2d
📐Vector Similarity
Machines in the Crowd? Measuring the Footprint of Machine-Generated Text on Reddit
arxiv.org·2d
🏛Digital humanities
I am building a document api suite that gives you coordinates for every answer
dev.to·3d·
Discuss: DEV
📄Document Digitization
AI News and Releases: First Week of October 2025
dev.to·1d·
Discuss: DEV
🤖AI Curation
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
📊Multi-vector RAG
The Day the CEO of Meta Stopped to Like My Vision
hackernoon.com·8h
🚀Indie Hacking
Contrastive Weak-to-strong Generalization
arxiv.org·1d
Information Bottleneck
GNN Blind Spots: The Hidden Cost of Powerful Graph Models
dev.to·23h·
Discuss: DEV
🕸️Graph Embeddings
Detecting Distillation Data from Reasoning Models
arxiv.org·4d
⚙️ABNF Mining
Real-Time Adaptive Sparsity Optimization for Edge-Deployed AI Inference Accelerators
dev.to·1d·
Discuss: DEV
🌊Streaming Compression
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·1d·
Discuss: DEV
🔨Compilers
Latency vs. Accuracy for LLM Apps — How to Choose and How a Memory Layer Lets You Win Both
dev.to·4d·
Discuss: DEV
Performance Mythology
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·9h·
Discuss: DEV
📊Multi-vector RAG