Scientists Discover Unusual New Species of Sea Slug That Looks Like an Egg
scitechdaily.com·1d
🦴Binary Paleontology
Now this is clever
aardvark.co.nz·2h
🗜️LZW Variants
On This Day in Math - July 20
pballew.blogspot.com·15h·
Discuss: www.blogger.com
🇬🇧British Computing
Multiple vulnerabilities in the web management interface of Intelbras routers
seclists.org·14h
🌐Network Protocols
Joy & Curiosity #46
registerspill.thorstenball.com·15h
🖥️Terminal Renaissance
Accountability
fffej.substack.com·1h·
Discuss: Substack
🔗Data Provenance
In Search of Dignity: Kurt Vonnegut Predicts AI (In "Player Piano")
thefordhamram.com·5h·
Discuss: Hacker News
🧲Magnetic Philosophy
Why Aggregators Ate the Internet
every.to·3d·
Discuss: Hacker News
🌊Streaming Systems
FlexOlmo enables organizations to collaboratively train LLMs without data sharing
the-decoder.com·13h
🎙️Whisper
Getting past LLM "day one" problem with MIRIX
fujimon.com·2d·
Discuss: Hacker News
💾Persistence Strategies
The Power of HTML - Part 21: HTML for AI Web Apps: Rendering Models and Data Viz
dev.to·9h·
Discuss: DEV
🌐Web Standards
Graph Representations for Reading Comprehension Analysis using Large Language Model and Eye-Tracking Biomarker
arxiv.org·3d
🧠Intelligence Compression
How I Built a Smarter AI with Neo4j (and Why You Might Want To Too)
dev.to·3d·
Discuss: DEV
🕸️Neo4j
Intra-view and Inter-view Correlation Guided Multi-view Novel Class Discovery
arxiv.org·3d
📊Learned Metrics
Easy Agents: Build autonomous agents with just natural language
github.com·1d·
Discuss: Hacker News
⚡Proof Automation
Automate Your SEO and Content Creation with this AI-Powered Tool
dev.to·7h·
Discuss: DEV
📊Feed Optimization
[R] SherlockBench benchmark and paper
reddit.com·16h·
Discuss: r/MachineLearning
🌊Streaming Algorithms
Relation-Aware Slicing in Cross-Domain Alignment
arxiv.org·2d
🔗Parser Combinators
The Power of HTML - Part 3: Mastering HTML Forms: From Input to Submission
dev.to·10h·
Discuss: DEV
🌐Web Standards
Contrastive-KAN: A Semi-Supervised Intrusion Detection Framework for Cybersecurity with scarce Labeled Data
arxiv.org·4d
🧠Machine Learning