Breakthrough mirror-image nanopores open door to new biomedical applications
phys.org·5h
⚛️Quantum Archives
How Wikimedia Commons is making microbiology open: lessons from Wikimedistas de Jujuy, Argentina
diff.wikimedia.org·9h
🏰Manuscript Networks
When AI Remembers Too Much – Persistent Behaviors in Agents’ Memory
unit42.paloaltonetworks.com·2d
🔲Cellular Automata
Turning data into knowledge: How Huawei is upgrading storage for the AI era
techradar.com·2d
💾Persistence Strategies
timelinize/timelinize
github.com·1d
⏱️Interval Archives
Monument Engine: Jx
monument.ai·7h·
Discuss: Lobsters
⚡SIMD Vectorization
Watching AWS Instance Types Evolution in 2025
rmazur.io·3h·
Discuss: Hacker News
🔌Interface Evolution
Source of Truth Update – Friday, October 10, 2025
rubycentral.org·9h·
Discuss: Hacker News
✅Archive Fixity
Show HN: 1M retail interior image dataset for computer vision (UK/US/EU)
groceryinsight.com·1d·
Discuss: Hacker News
🏺Compression Museums
Why Self-Host?
romanzipp.com·2d·
Discuss: Hacker News
🏠Personal Archives
Preventing Invalid Database Access at Compile Time
svix.com·4d·
Discuss: Hacker News, r/rust
🦀Rust Borrowing
Zippers: Making Functional "Updates" Efficient (2010)
goodmath.org·2d·
Discuss: Hacker News, r/programming
🌳Incremental Parsing
GNN Predictions: Hidden Bugs and the Verification Nightmare by Arvind Sundararajan
dev.to·1d·
Discuss: DEV
⚙️Proof Engineering
Padding
reddit.com·17h·
Discuss: r/golang
🔧KAITAI
DRACO: Data Replication and Collection Framework for Enhanced Data Availability and Robustness in IoT Networks
arxiv.org·1d
🕸️Mesh Networking
Need to sanity check my backup plan before I implement it
youtube.com·3d·
Discuss: r/homelab
💿Backup Strategies
Building Self-Correcting Database Agents with Meta's Llama-4-Scout: From Natural Language to SQL Insights
dev.to·2d·
Discuss: DEV
🗄️Database Internals
Complete Guide to Audio Processing in Python: From Spectrograms to Real-Time Applications
dev.to·9h·
Discuss: DEV
📊Spectral Analysis
Building an AI Internal Linking Plugin for WordPress
dev.to·11h·
Discuss: DEV
🌀Brotli Internals
SPAD: Specialized Prefill and Decode Hardware for Disaggregated LLM Inference
arxiv.org·1d·
Discuss: r/LLM
💻Local LLMs