Sex Reversal Is More Common in Birds Than Previously Thought, Suggests Study of Australian Species
smithsonianmag.com·52m
🦴Binary Paleontology
The Root(ing) Of All Evil: Security Holes That Could Compromise Your Mobile Device
zimperium.com·1d
🔒Hardware Attestation
OpenBSD’s Greytrapping: 18 Years of Fighting Spam with Data and Grit
discoverbsd.com·4h
🛡️eBPF Security
Behind the Scenes: CI and CD with this Web Site and Blog
matttproud.com·2d
🦋Format Metamorphosis
Digital Forensics Round-Up, August 13 2025
forensicfocus.com·22h
🔬Archive Forensics
Canonical's hiring process is a case study in crapness
tomkranz.com·20h·
Discuss: Hacker News
📟Terminal Forensics
Does GPT-2 Know Your Phone Number? (2020)
bair.berkeley.edu·2d·
Discuss: Hacker News
💻Local LLMs
All Souls exam questions and the limits of machine reasoning
resobscura.substack.com·16h·
Discuss: Substack
🏛Digital humanities
Is GPT-OSS Really Open? Inside OpenAI’s Most Transparent Model Yet
hackernoon.com·2d
🔓Open Source Software
The journey of building a privacy-first Android app to 80+ stars and 100+ testers
dev.to·4h·
Discuss: DEV
🚀Indie Hacking
Cracking the genetic code of arrow worms: How chaetognaths got their unique body plan
phys.org·10m
🦴Binary Paleontology
Day 4 [August 11, 2025] Python Extensibility - More research/reading to follow in day 5. I barely scratched the surface.
dev.to·22h·
Discuss: DEV
🔩Systems Programming
Hyperdimensional Cognitive Mapping for Personalized Assistive UX Design
dev.to·20h·
Discuss: DEV
🔲Cellular Automata
VL-MedGuide: A Visual-Linguistic Large Model for Intelligent and Explainable Skin Disease Auxiliary Diagnosis
arxiv.org·2d
🤖Advanced OCR
Everything I Know About GitHub Copilot Instructions — From Zero to Onboarded (For Real) ⚡
dev.to·1d·
Discuss: DEV
🔗Concatenative Programming
Automated Anomaly Detection in Ghost Imaging via Multi-Modal Data Fusion and Bayesian Inference
dev.to·1d·
Discuss: DEV
💿Optical Forensics
Hierarchical Variable Importance with Statistical Control for Medical Data-Based Prediction
arxiv.org·1d
🧠Machine Learning
Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
arxiv.org·1d
🤖Grammar Induction
KFFocus: Highlighting Keyframes for Enhanced Video Understanding
arxiv.org·1d
📊Rate-Distortion Theory
A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection
arxiv.org·9h
📊Learned Metrics