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🌡️ Preservation Entropy

Information Loss Models, Degradation Theory, Archive Thermodynamics, Media Decay

Navigating Wikipedia’s Knowledge Discrepancies
diff.wikimedia.org·1d
📰Content Curation
Why Is the Media Normalizing Nuclear War and Its Effects on US Populations?
nakedcapitalism.com·21h
🛡Cybersecurity
On A.I. Video Watermarks
pxlnv.com·2d
🌊Audio Watermarks
Data Breach Today, Your Problem Tomorrow: Why Victims Deserve More Than Apologies
muckypaws.com·1d
🔓Hacking
Legal Ransomware
aardvark.co.nz·1d
🏴‍☠️Piracy
Explaining information architecture to a 6-year-old and an 82-year-old
littlelanguagemodels.com·1d·
Discuss: Hacker News
🗂️Information Architecture
The "Perfect" YouTube Video
idiallo.com·9h·
Discuss: Hacker News
💿Binary Musicology
Grappling with the Existential Panic over AI
easydns.com·1d·
Discuss: Hacker News
⚡Proof Automation
CompressedVQA-HDR: Generalized Full-reference and No-reference Quality Assessment Models for Compressed High Dynamic Range Videos
arxiv.org·1d
🎬AV1 Encoding
CoCre-Sam (Kokkuri-san): Modeling Ouija Board as Collective Langevin Dynamics Sampling from Fused Language Models
arxiv.org·1d
🔲Cellular Automata
Introduction: AI Terminology
dev.to·1d·
Discuss: DEV
🤖Grammar Induction
Stop Fighting Image Formats: A Developer's Guide to Streamlined Image Processing
dev.to·1d·
Discuss: DEV
📸PNG Optimization
Advanced PDF Optimization Techniques - 1752741
dev.to·21h·
Discuss: DEV
📝Text Compression
I put 30TB in my home NAS, here’s why Seagate’s IronWolf Pro is perfect for massive storage
techradar.com·15h
🇸🇪Nordic Filesystems
Redefining Data Operations With Data Flow Programming in CocoIndex
hackernoon.com·18h
🌊Stream Processing
An Epistemic and Aleatoric Decomposition of Arbitrariness to Constrain the Set of Good Models
arxiv.org·3d
🔲Proof Irrelevance
Machine Learning Fundamentals: dimensionality reduction example
dev.to·1d·
Discuss: DEV
📐Vector Dimensionality
The Age of Self-Evolving AI Is Here
towardsdatascience.com·4h
⚡Incremental Computation
Using AI in the development of stdlib
dev.to·11h·
Discuss: DEV
📏Code Metrics
How Metrics (and LLMs) Can Trick You: A Field Guide to Paradoxes
towardsdatascience.com·2d
🧠Intelligence Compression
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