📡 RSS Readers

Feed Aggregation, Personal News, Decentralized Media, Information Diet

The Feedback Loop
pablofernandez.tech·7h
🎯Threat Hunting
Few Americans pay for news when they encounter paywalls
pewresearch.org·1d·
Discuss: Hacker News
📡RSS
Show HN: Towards agentic Graph RAG: Enhancing graph retrieval with vector search
blog.kuzudb.com·8h·
Discuss: Hacker News
📊Graph Databases
Single-function Devices in the World of the Everything Machine
chrbutler.com·2d·
Discuss: Hacker News
💾vintage computing
Why Your Next LLM Might Not Have A Tokenizer
towardsdatascience.com·1d
🤖Grammar Induction
HarmonyOS5-NewsAPP-NewsDetailPage
dev.to·1h·
Discuss: DEV
📡RSS Extensions
Biomed-Enriched: A Biomedical Dataset Enriched with LLMs for Pretraining and Extracting Rare and Hidden Content
arxiv.org·1h
🔍Information Retrieval
A Framework for Generating Conversational Recommendation Datasets from Behavioral Interactions
arxiv.org·2d
⚖️Feed Ranking
15minutes Review: A Smarter Way to Learn in Just 15 Minutes
dev.to·21h·
Discuss: DEV
📰RSS Reading Practices
Simple API monitoring, analytics and request logging for Chi, Echo, Fiber, and Gin
reddit.com·1d·
Discuss: r/golang
🌀Brotli Internals
🧠 WikiSnap — I Reimagined Wikipedia as TikTok. Here’s How (and Why)
dev.to·13h·
Discuss: DEV
🕸️Knowledge Graphs
Clustering News Articles for Topic Detection: A Technical Deep Dive
dev.to·3d·
Discuss: DEV
📚Document Clustering
The Economist: Data, AI Personalisation, and Editorial Integrity
futureweek.com·2d·
Discuss: Hacker News
📊Feed Optimization
Tackling Data Heterogeneity in Federated Learning through Knowledge Distillation with Inequitable Aggregation
arxiv.org·1h
🧠Machine Learning
Language Modeling by Language Models
arxiv.org·1h
🤖Grammar Induction
Check out this blog about our hackathon winning project DreamOps!
dev.to·15h·
Discuss: DEV
🌀Brotli Internals
Real-time AI Unleashed: The Power of Time-Series and Vector Database Synergy
dev.to·2d·
Discuss: DEV
📈Time Series
Alleviating User-Sensitive bias with Fair Generative Sequential Recommendation Model
arxiv.org·1d
🎛️Feed Filtering
Kafka Fundamentals: kafka consumer
dev.to·4d·
Discuss: DEV
🌊Streaming Systems
SACL: Understanding and Combating Textual Bias in Code Retrieval with Semantic-Augmented Reranking and Localization
arxiv.org·1h
🔍BitFunnel