Revision as of 10:16, 4 March 2026

Research

Open source leads — technologies to explore, learn, and potentially set up. Research notes on emerging technologies, development tools, and technical topics of interest.

Section Overview

Research Categories
Category	Topics	Description
1. Civilization Infrastructure	6	Open source machinery, mesh networks, hardware
2. Local AI & LLMs	5	Local large language models, inference
3. System Research	3	Kernel, debugging, computing layers

1. Civilization Infrastructure

Description: Open source technologies for rebuilding civilization infrastructure, community networks, and sustainable development.

Statistics: 6 research topics | Infrastructure and hardware

Research Index

Topic	Source	Description
Comfac Infrastructure	Website	Open source civilization infrastructure hub
Open Source Ecology	YouTube	Open source machinery for civilization rebuilding
Community Mesh	Website	Local community mesh networks
National Mesh	Website	Federating community mesh networks nationally
FreeCAD Project	Website	National FreeCAD adoption initiative
Open Source Laptops	GitHub	MIT-licensed open source laptop designs

Discussion Links

2. Local AI & LLMs

Description: Research on locally-hosted large language models and AI tools that don't require cloud services.

Statistics: 5 research topics | Local AI inference

Research Index

Project	Language/Platform	Description
OpenCode	Python/Ollama	Open-source alternative to Claude Code using local Ollama
llama.cpp	C++	Study sharding and parallel decoding
VulkanIlm	Python/Vulkan	Python wrapper for llama.cpp Vulkan backend
ModelScope	Web	AI model repository and platform
Moore Threads	Hardware	GPU and AI acceleration hardware
Lora Basics 260304		Research into LORAs

Research Notes

OpenCode: Fully-featured, runs entirely on local machine
llama.cpp: Focus on sharding (splitting models across GPUs)
VulkanIlm: Fast local LLM inference on AMD, Intel, NVIDIA GPUs — no CUDA required
ModelScope: Alternative model hosting platform
Moore Threads: Chinese GPU manufacturer for AI workloads

3. System Research

Description: Operating system research, kernel development, and computing architecture studies.

Statistics: 3 research topics | Systems and architecture

Research Index

Topic	Wiki Page	Description
Kernel Debugging	Understanding & Fixing Kernel Panics 260212	Kernel panic diagnosis
Computing Architecture	Computing_Layers_260206	Computing layer analysis
Browser Development	Ladybird-251231	Ladybird browser research

Research Statistics

Research Section Summary
Category	Topics	Primary Focus
Civilization Infrastructure	6	Sustainable infrastructure, open hardware
Local AI & LLMs	5	Local AI inference, open models
System Research	3	Kernel, architecture, browsers
Total	14+	Technology exploration

Research Methodology: Technologies are evaluated for:; * Open source licensing; * Self-hosting capability; * Practical applicability; * Community support

Active Monitoring: GitHub discussions, technology forums, research publications

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