Double Maths First Thing: Issue 33
aperiodical.com·1d
📐Mathematical Art
Back in Action on Plasma (Mobile)
vizzzion.org·7m
🕸️WASM Archives
Proxmox Disk Caching Modes
blog.raymond.burkholder.net·8h
💿Proxmox HA
Socioeconomic Threats of Deepfakes and the Role of Cyber-Wellness Education in Defense
cacm.acm.org·20h
📼Cassette Hacking
Knowledge and Common Knowledge in a Distributed Environment, Part 2
emptysqua.re·3d
🤝Paxos Consensus
AprilRobotics/apriltag
github.com·11h
🤖Advanced OCR
Wubular: Rubular Reimagined in Ruby+WASM
rubyelders.com·1d·
Discuss: Hacker News
🌀Brotli Internals
Compress Vectors by 4x by using 8-bit Rotational Quantization
weaviate.io·5h·
Discuss: Hacker News
📊Vector Quantization
Learning PostgreSQL Internals
blog.cleverelephant.ca·13h·
Discuss: Hacker News
🧬PostgreSQL Forensics
🎶 Hosting our online WB-40 Album Club. Snowpoet’s Thought You Knew was a big driver for me to invest in a turntable as I wanted to immerse myself in the music.
andrewdoran.uk·16h
📼Audio Cassettes
Are people’s bosses really making them use AI tools?
piccalil.li·2h·
Discuss: Lobsters, Hacker News
⚙️Proof Engineering
Semantic Embedding in RAG: why close vectors still miss meaning and how to fix it
dev.to·2d·
Discuss: DEV
🧮Vector Embeddings
LLMs: Common terms explained, simply
newsletter.eng-leadership.com·4d·
Discuss: Hacker News, r/programming
🧠Intelligence Compression
MobText-SISA: Efficient Machine Unlearning for Mobility Logs with Spatio-Temporal and Natural-Language Data
arxiv.org·9h
🧪Data science
A Praxis of Influence: Framing the Observation and Measurement of Information Power
arxiv.org·1d
📰Content Curation
Is data-efficient learning feasible with quantum models?
arxiv.org·9h
⚛️Quantum Information
Language Models Coupled with Metacognition Can Outperform Reasoning Models
arxiv.org·2d
🧠Intelligence Compression
TTF-VLA: Temporal Token Fusion via Pixel-Attention Integration for Vision-Language-Action Models
arxiv.org·9h
🗜️LZW Variants
From Principles to Rules: A Regulatory Approach for Frontier AI
arxiv.org·1d
🔲Cellular Automata
GegenNet: Spectral Convolutional Neural Networks for Link Sign Prediction in Signed Bipartite Graphs
arxiv.org·9h
📈Spectral Graph Theory