Language Support for Marginalia Search
marginalia.nu·2d
🔍BitFunnel
If you use Claude Code with Codex or Cursor: ln -s AGENTS.md CLAUDE.md
coding-with-ai.dev·2h·
Discuss: Hacker News
🦠Parasitic Archives
JSON Schema Compatibility and the Robustness Principle
yokota.blog·1d·
Discuss: Hacker News
📋Protocol Buffers
Computer Tycoon
store.steampowered.com·1d·
Discuss: Hacker News
🕹️Retro Gaming
The worlds of young children and their encounters with school science
link.springer.com·1d·
Discuss: Hacker News
🏛Digital humanities
Age and gender distortion in online media and large language models
nature.com·5h
📡Information theory
64GB RDIMMs that work with Supermicro H12ssl-I
reddit.com·7h·
Discuss: r/homelab
🔍FPGA Verification
Taming the Turbulence: Streamlining Generative AI with Gradient Stabilization by Arvind Sundararajan
dev.to·11h·
Discuss: DEV
🌀Riemannian Computing
“Battle of the Boot Drives: ZFS Mirror vs DIY ext4 RAID — Who Wins the War for Proxmox Reliability?”
reddit.com·13h·
Discuss: r/homelab
💿ZFS Internals
Learning from Failures: Understanding LLM Alignment through Failure-Aware Inverse RL
arxiv.org·17h
💻Local LLMs
Krish Naik: Complete RAG Crash Course With Langchain In 2 Hours
dev.to·11h·
Discuss: DEV
📊Multi-vector RAG
CHORD: Customizing Hybrid-precision On-device Model for Sequential Recommendation with Device-cloud Collaboration
arxiv.org·2d
🎛️Feed Filtering
EduPersona: Benchmarking Subjective Ability Boundaries of Virtual Student Agents
arxiv.org·1d
🎙️Whisper
I3-12100 Jellyfin/torrent NAS build review
reddit.com·1d·
Discuss: r/homelab
🗄️SQLite Internals
Abstraction Is the New Literacy for Developers
dev.to·12h·
Discuss: DEV
📏Code Metrics
Hyper-Personalized Customer Journey Orchestration via Probabilistic Temporal Logic Modeling in CRM
dev.to·3d·
Discuss: DEV
🎛️Feed Filtering
Unlocking Quantum Insights: Making Sense of Quantum Graph Networks
dev.to·17h·
Discuss: DEV
🕸️Tensor Networks
VisitHGNN: Heterogeneous Graph Neural Networks for Modeling Point-of-Interest Visit Patterns
arxiv.org·2d
🌀Hyperbolic Geometry
GAS-MIL: Group-Aggregative Selection Multi-Instance Learning for Ensemble of Foundation Models in Digital Pathology Image Analysis
arxiv.org·1d
🧠Machine Learning
Know Thyself? On the Incapability and Implications of AI Self-Recognition
arxiv.org·1d
💻Local LLMs