‘How Did Somebody Make This?’
pxlnv.com·1d
🏺Media Archaeology
The story of Bram Cohen and the BitTorrent protocol
xda-developers.com·19h
🌊BitTorrent
2025-10-10: An Internship Experience With the Internet Archive as a Google Summer of Code Contributor
ws-dl.blogspot.com·1d·
Discuss: ws-dl.blogspot.com
🔓Open Source Software
Vibing a Non-Trivial Ghostty Feature
simonwillison.net·17h
🧪Binary Fuzzing
Physical Warp Drives
arxiv.org·17h·
Discuss: Hacker News
🌡️Preservation Physics
When dirt meets data: ScottsMiracle-Gro saved $150M using AI
venturebeat.com·21h·
Discuss: Hacker News
🤖AI Curation
Stop Worrying and Love the Bomb
bitbytebit.substack.com·19h·
Discuss: Substack
⚙️Build Archaeology
DRACO: Data Replication and Collection Framework for Enhanced Data Availability and Robustness in IoT Networks
arxiv.org·2d
🕸️Mesh Networking
Assessing Paleovirus Revival Risk via Multi-Agent Bayesian Network Simulation
dev.to·9h·
Discuss: DEV
🦴Database Paleontology
LogSTOP: Temporal Scores over Prediction Sequences for Matching and Retrieval
arxiv.org·3d
📊Learned Metrics
LightReasoner: Can Small Language Models Teach Large Language Models Reasoning?
arxiv.org·2d
🔗Parser Combinators
Understanding Retrieval Augmentation for Long-Form Question Answering
arxiv.org·5d
🔍Information Retrieval
You Have Been LaTeXpOsEd: A Systematic Analysis of Information Leakage in Preprint Archives Using Large Language Models
arxiv.org·5d·
Discuss: Hacker News
🦠Parasitic Archives
Tech With Tim: Python Web Scraping: A Million Dollar Project Idea - FULL Build/Tutorial
dev.to·20h·
Discuss: DEV
🌀Brotli Internals
[D] Best videos of talks on using RL to train reasoning models
reddit.com·14h·
Discuss: r/MachineLearning
📼Tape Linguistics
Managing Asynchronous Work with Celery and Redis
dev.to·1d·
Discuss: DEV
🌊Apache Kafka
Differential Privacy for Adaptive Weight Aggregation in Federated Tumor Segmentation
arxiv.org·3d
🤐Secure Multiparty
The Hidden Bias: A Study on Explicit and Implicit Political Stereotypes in Large Language Models
arxiv.org·2d
🤖Grammar Induction
DGTEN: A Robust Deep Gaussian based Graph Neural Network for Dynamic Trust Evaluation with Uncertainty-Quantification Support
arxiv.org·2d
🕸️Graph Embeddings
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·22h·
Discuss: DEV
📊Multi-vector RAG