📦 METS Standards

Structural Metadata, Digital Library Architecture, Package Formats, Content Management

sopass and cross-device syncing in a password manager
blog.liw.fi·1d
🔀CRDT
Apache Iceberg as the Foundation for Enterprise AI Data: Why MinIO Made Tables Native In AIStor
blog.min.io·4d
🏺Database Archaeology
China's new pharma API war, and lessons from its last strike
the-ken.com·2h·
Discuss: Hacker News
📡RSS
Does Using In-Copyright Works as Training Data Infringe?
cacm.acm.org·1d·
Discuss: Hacker News
⚖️Emulation Ethics
Securing AI agents at the scale of the internet
godaddy.com·2d·
Discuss: Hacker News
🌳Archive Merkle Trees
What WASM 3.0 launch means for .NET Developers
platform.uno·2d·
Discuss: Hacker News
🌐WASI
When "4.3M Prompts" Isn't 4.3M Prompts
aivojournal.org·1d·
Discuss: Hacker News
🔗Data Provenance
Ask HN: How do you handle the gaps between design, product, and engineering?
news.ycombinator.com·12h·
Discuss: Hacker News
⚙️Proof Engineering
I Trained a Small Language Model from Scratch
nwosunneoma.medium.com·2d·
Discuss: Hacker News
🌀Brotli Internals
Show HN: Boilerplate auth server implementing RBAC
github.com·8h·
Discuss: Hacker News
🔐Capability Systems
PEL-NAS: Search Space Partitioned Architecture Prompt Co-Evolutionary LLM-driven Hardware-Aware Neural Architecture Search
arxiv.org·2d
💻Local LLMs
Trustworthy Summarization via Uncertainty Quantification and Risk Awareness in Large Language Models
arxiv.org·2d
🧠Intelligence Compression
Best Open Source AI Image Upscaler: Why You Should Try Upscayl
dev.to·1d·
Discuss: DEV
📸TIFF Evolution
TriAlignXA: An Explainable Trilemma Alignment Framework for Trustworthy Agri-product Grading
arxiv.org·2d
🌀Differential Geometry
Dynamic Risk Mitigation in Blockchain-Enabled Pharmaceutical Supply Chains via Predictive Analytics
dev.to·14h·
Discuss: DEV
🤝Distributed Consensus
Blogging With Emacs
irreal.org·1d
🌀Brotli Internals
Advanced Multi-Modal Nanoparticle Classification via Spatio-Temporal Graph Neural Networks
dev.to·4h·
Discuss: DEV
🧠Machine Learning
Building the heap: racking 30 petabytes of hard drives for pretraining
dev.to·3d·
Discuss: DEV
⚙️Batch Processing
Help with network config
i.redd.it·1d·
Discuss: r/homelab
🏠HomeLab
Multimodal Foundation Models for Early Disease Detection
arxiv.org·2d
📊Learned Metrics