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βš–οΈ Lossy Compression Ethics

Quality Trade-offs, Cultural Preservation, Information Loss, Archival Standards

Protecting children online: The time to act is now
euronews.comΒ·5h
βš–οΈLegal Compliance
[$] Libxml2's "no security embargoes" policy
lwn.netΒ·1d
πŸ”“Free and open source
The Bank Secrecy Act is failing everyone. It’s time to rethink financial surveillance.
technologyreview.comΒ·2d
πŸ”—Data Provenance
Coding in a material world
deadsimpletech.comΒ·1dΒ·
Discuss: Lobsters, Hacker News
🧲Magnetic Philosophy
The time is right for a DOM templating API
justinfagnani.comΒ·10hΒ·
Discuss: Lobsters, Hacker News, r/programming
🌐Web Standards
Divine Provenance
asimov.blogΒ·1dΒ·
Discuss: Hacker News
🧲Magnetic Philosophy
What's coming to JavaScript
deno.comΒ·13hΒ·
Discuss: Hacker News
🎯Gradual Typing
Using OpenTelemetry to Diagnose a Critical Memory Leak
hackernoon.comΒ·1d
πŸ‘οΈSystem Observability
5How to Catch a Corporate Spy
forbes.comΒ·3hΒ·
Discuss: Hacker News
πŸ•³οΈInformation Leakage
Probing AI Safety with Source Code
arxiv.orgΒ·1d
✨Effect Handlers
Flame Graph Performance Truth Analysis(1750991459477100οΌ‰
dev.toΒ·3hΒ·
Discuss: DEV
⚑Performance Tools
Machine Learning Fundamentals: adam optimizer
dev.toΒ·14hΒ·
Discuss: DEV
πŸ“ŠQuantization
1 - Building a Worship Resource Library
dev.toΒ·6hΒ·
Discuss: DEV
🎹MIDI Archaeology
How to Create Secure AI Applications
dev.toΒ·8hΒ·
Discuss: DEV
πŸ”’Language-based security
From Codicology to Code: A Comparative Study of Transformer and YOLO-based Detectors for Layout Analysis in Historical Documents
arxiv.orgΒ·1d
πŸ“ƒManuscript Tokenization
How to Write a Software Project Proposal: Complete Template & Guide
dev.toΒ·1dΒ·
Discuss: DEV
πŸ¦‹Format Metamorphosis
The Bitter Lesson is coming for Tokenization
lucalp.devΒ·2dΒ·
Discuss: Lobsters, Hacker News, r/programming
πŸ”—Monadic Parsing
Kafka Fundamentals: kafka retention.ms
dev.toΒ·1dΒ·
Discuss: DEV
🌊Streaming Systems
A large deviation view of \emph{stationarized} fully lifted blirp interpolation
arxiv.orgΒ·2d
πŸ“Compression Bounds
Progressive Size-Adaptive Federated Learning: A Comprehensive Framework for Heterogeneous Multi-Modal Data Systems
arxiv.orgΒ·1h
🧠Machine Learning
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