The Commonest Domain Features: Constructing Look-Up Tables for Use as Part of a Domain Risk Scoring System
circleid.com·22h
🕵️Domain Enumeration
Free Knowledge Management Workshop
dsebastien.net·1d
🧠Knowledge Management
Mahzarin Banaji, psychologist: ‘Our biases were useful in the past, but today, they are an obstacle’
english.elpais.com·8h
🌍Cultural Algorithms
Leah Remini: Leaked Scientology policies direct lawyers in religious warfare
tonyortega.substack.com·1d·
Discuss: Substack
⚖️Archive Ethics
The Pinchot Sycamore in Simsbury, Connecticut
atlasobscura.com·8h
🐧FOSS
Widely panned arsenic life paper gets retracted—15 years after brouhaha
arstechnica.com·4h
🌡️Preservation Physics
Grande Caryatid in Paris, France
atlasobscura.com·2d
🏷️Metadata Standards
From Benjamin Franklin to Pony Express to anthrax: How the US Postal Service shaped a nation
the-independent.com·10h
📄PostScript
O rescue me, Leviathan
blog.ayjay.org·2d
🧲Magnetic Philosophy
Archaeologists Opened a 2,600-Year-Old Tomb—and Found 4 People Who Time Forgot
popularmechanics.com·1d
🏺Computational Archaeology
RAG Document Q&A System
dev.to·23h·
Discuss: DEV
🤖Archive Automation
Obscura Day Summer 2025: Panorama of the City of New York
atlasobscura.com·8h
🏛Digital humanities
LLMs remain vulnerable to "jailbreaking" through adversarial prompts
link.springer.com·1d·
Discuss: Hacker News
💻Local LLMs
Content-based 3D Image Retrieval and a ColBERT-inspired Re-ranking for Tumor Flagging and Staging
arxiv.org·1d
🧮Vector Embeddings
Human Babies Aren’t Supposed to Have 3 Parents—but Now They Can
popularmechanics.com·3d
🧬Copy Number Variants
Obscura Day Summer 2025: Panorama of the City of New York
atlasobscura.com·8h
🏛Digital humanities
Murdered MP’s widow accuses Government of ‘cover-up’ following Prevent review
the-independent.com·14h
🔗Data Provenance
VoiceFlow Pro - AI-Powered Business Process Discovery & Automation Voice Agent
dev.to·5h·
Discuss: DEV
🌊Stream Processing
Unposed 3DGS Reconstruction with Probabilistic Procrustes Mapping
arxiv.org·20h
📐Projective Geometry
Exploring the Potential of LLMs for Serendipity Evaluation in Recommender Systems
arxiv.org·1d
🎯Recommendation Metrics