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💿 Binary Musicology

Digital Audio Archaeology, Format Anthropology, Sound Culture, Media Studies

Extracting and Cracking NTLMv1 Hashes
infosecwriteups.com·16h
🎯NTLM Attacks
The brain tech revolution is here — and it isn’t all Black Mirror
vox.com·1d
🖥️Terminal Renaissance
Longplay for Mac
mjtsai.com·4d
🍎Apple Archive
The impact of different languages on our thinking and doing
languagelog.ldc.upenn.edu·2d
📼Tape Linguistics
Pink Floppy Disc and The Bitles: Embracing the future of AI music
newscientist.com·4d
💿FLAC Archaeology
Japanese Aesthetics
brajeshwar.com·2d
❄️Nordic Design Philosophy
You Might Not Need LangChain for Your Next AI App
shuvrojit.substack.com·1h·
Discuss: Substack
🌀Brotli Internals
All AI Models Might be The Same
blog.jxmo.io·3d·
Discuss: Hacker News
🧠Machine Learning
I deleted Hinge after a week of using dating apps
parsam.io·2d·
Discuss: Hacker News
🗜️Zstandardized Archives
Playback errors and hardware/network requirements
reddit.com·6h·
Discuss: r/homelab
💽MiniDisc Format
The Power of HTML - Part 5: Accessibility Unleashed: Inclusive Design with HTML
dev.to·11h·
Discuss: DEV
🌐Web Standards
🔐 FastAPI JWT Authentication with SQLite Database for Secure APIs
dev.to·3h·
Discuss: DEV
🧩SQLite Extensions
SymbOS Is a Funhouse mirror look at a future that never was
hackaday.com·22h
🖥Retro Computing
Bridging Boundaries: How to Foster Effective Research Collaborations Across Affiliations in the Field of Trust and Safety
arxiv.org·2d
📊Citation Graphs
EME-TTS: Unlocking the Emphasis and Emotion Link in Speech Synthesis
arxiv.org·3d
⚙️Compression Benchmarking
Physically Based Neural LiDAR Resimulation
arxiv.org·2d
🔬Optical Physics
Interacting Hosts with Microbiome Exchange: An Extension of Metacommunity Theory for Discrete Interactions
arxiv.org·2d
🔲Cellular Automata
Rust Web Frameworks Compared: Actix vs Axum vs Rocket
dev.to·7h·
Discuss: DEV
🦀Rust Borrowing
Shaping AI's Mind from the Shadows: My Journey with ArXiv and Alpay Algebra
lightcapai.medium.com·3d·
Discuss: Hacker News
🔲Cellular Automata
Confidence-Filtered Relevance (CFR): An Interpretable and Uncertainty-Aware Machine Learning Framework for Naturalness Assessment in Satellite Imagery
arxiv.org·2d
🧠Machine Learning
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