Favourites of September 2025
brainbaking.com·1d
🏺Gaming Archaeology
Amazon's Prime Video Rolls Back Controversial 'Stylized' James Bond Thumbnails Without Guns
entertainment.slashdot.org·12h·
Discuss: Hacker News
🕸️WebP Analysis
Joy & Curiosity #56
registerspill.thorstenball.com·9h
⚙️Proof Engineering
I reviewed the 8849 Hike rugged phone and with a big battery and built-in flashlight it's perfect for adventures
techradar.com·6h
🎮Gameboy Emulation
Russia rains drones and missiles on Ukraine as Poland scrambles aircraft
japantimes.co.jp·17h
🔍Polish Cryptanalysis
Sora Is Unimpressive
nopolitik.substack.com·1h·
Discuss: Substack
🏺Gaming Archaeology
[D] Help needed on Train Bogey Dataset
reddit.com·9h·
Discuss: r/MachineLearning
🗂️Vector Search
Microcomputers – The Second Wave: Toward A Mass Market
technicshistory.com·2d·
Discuss: Hacker News
🍎Apple Computing
How do you get your dev team to shift left by themselves for real?
dev.to·2d·
Discuss: DEV
⚔️Lean Tactics
How I Bypassed Random Medical Center Assignment During Appointment Booking
infosecwriteups.com·1d
🎫Kerberos Attacks
How to live a good life in difficult times: Yuval Noah Harari, Rory Stewart and Maria Ressa in conversation
theguardian.com·1d
🔲Cellular Automata
Ultra-thin sodium films offer low-cost alternative to gold and silver in optical technologies
phys.org·2d
⚛️Quantum Tape
Module 3 — Derived Digital Identities and Interoperability
dev.to·4d·
Discuss: DEV
🔐PKI Archaeology
OpenAI's GPT-OSS-20B Model and Safety Alignment Issues in a Low-Resource Language
arxiv.org·2d
🌐Protocol Synthesis
Turbocharge Your Wireless: AI-Powered Tensor Precoding Unveiled!
dev.to·1d·
Discuss: DEV
🧠Neural Codecs
Advanced Acoustic Anomaly Detection via Multi-Modal Bayesian Fusion
dev.to·9h·
Discuss: DEV
🎵Acoustic Fingerprinting
Privacy-Preserving Federated Learning with Homomorphic Encryption for Secure Medical Image Segmentation
dev.to·3d·
Discuss: DEV
🔐Homomorphic Encryption
🐈💀 When My AIs Died: The Rise and Fall of Lynqbit & BarnOwl
dev.to·5h·
Discuss: DEV
🦀Rust Macros
ActiNet: Activity intensity classification of wrist-worn accelerometers using self-supervised deep learning
arxiv.org·2d
🧠Machine Learning
Unusual consulting request
statmodeling.stat.columbia.edu·1d
🧬PostgreSQL Forensics