I'm an information engineering student in Japan building local AI systems, LLM inference tools, coding-agent workflows, and apps.
My projects usually start with a question: Can this actually work? I enjoy testing ideas on everything from Apple Silicon to aging GPUs, then publishing implementations, measurements, and their limitations.
- 🧠 Persistent/distributed cognition, memory, and AI agent architectures
- ⚡ Local LLM inference, speculative decoding, and multi-GPU performance
- ♻️ Legacy-GPU software, OpenCL 1.1, and salvaged computing
- 🇯🇵 Japanese tokenizers, fiction-oriented language models, and long-context evaluation
- 🧪 Reproducible benchmarks, regression tests, experiment records, and honest failure analysis
- 🛠️ macOS / Android / web apps, creative software, and developer tools
Languages: Rust · Python · Swift · Kotlin / Java · C / C++ · C# · TypeScript / JavaScript
日本語でも活動しています。**「動くところまで作り、実測し、再現できる形で公開する」**ことを大切にしています。
October 2026 · public projects and experiments
| Area | Project / work |
|---|---|
| 🧬 Kamimusuhi / かみむすび | Experimental architecture for a persistent artificial cognitive individual: continuity, provenance, memory, and delegation across models and machines. |
| ♻️ SalvagedComputing / ScrapGpuLibrary | Finding useful roles for obsolete GPUs and constrained machines. Working on legacy OpenCL 1.1 inference through CL11 and portable runtime components. |
| ⚡ Strata experiments / Qwen3.8 MTP | Practical local inference with limited hardware: decoding speed, memory, quantization, and model/runtime tuning. |
| 📏 YLSB / llama-split-bench | Reproducible benchmarking of complete local-LLM configurations, including GPUs, split mode, context, KV cache, quality, and speed. |
| 🇯🇵 J-series Tokenizers v2 / novllm | Japanese tokenizer design and model training/evaluation for long-form and fiction generation, with public research tooling. |
| 🤖 rustdsh / rdsh | Contributing to Rust tooling for AI coding agents: provider integrations, execution workflows, developer experience, and safety. |
| 🍽️ OISINT | An evidence-backed restaurant research and comparison app, including source links, uncertainty, and collaborative decisions. |
Additional experiments: NavSpec (structured naval-spec generation and validation) and Open Jev Core ML (experimental Apple Silicon inference, with documented limitations).
I work with the 地元のLLM community on local-AI tooling, including ScrapGpuLibrary, rustdsh, and the community Bench of Us reports.
I also contribute to J-LLM on Hugging Face, sharing Japanese models, tokenizers, and other experimental artifacts. The J-series v2 collection covers multiple tokenizer vocabulary sizes.
Projects vary in maturity. A prototype, a benchmark, or a successful test is not a production guarantee.
- 🌸 Ourin / 桜鈴 — macOS-native Ukagaka-compatible baseware, built with Swift and native SHIORI runtimes.
- 🔍 DiffLoupe — a macOS-native folder/file diff tool inspired by WinMerge.
- ✒️ Singleline JP Font — Japanese centerline fonts and 1-bit assets; the expanded v2 family is still a release candidate with proofreading in progress.
- ⚓ NavSpec — structured fictional naval specification generation, constraints, and regression evaluation.
- 🧠 Open Jev Core ML — experimental Core ML / Apple Silicon conversion and benchmark results, including negative findings.
- 🛠️ HOI4 Modding AI Agent Skills — reusable references and agent skills for game modding.
- 📱 WattTime — a published Android microwave heating-time converter built with Kotlin.
See more in my repositories and on Furin Lab.
idea / problem
↓
survey & design
↓
prototype
↓
measurement / benchmark
↓
failure analysis
↓
reproducible artifact
↓
next experiment
I use AI coding agents heavily, but try to keep claims separate from measurements: CI, test results, raw outputs, hashes, experiment manifests, and failure records matter more than "it seems to work".
I also run local experiments across Apple Silicon, CUDA, and legacy OpenCL systems, including mixed-generation NVIDIA GPUs, so hardware constraints are treated as part of the research rather than an afterthought.
Languages
Development / ML
PyTorch · Transformers · MLX / MPS · llama.cpp / ggml · CUDA · OpenCL · Core ML · Metal
GitHub Actions · SQLite · Supabase · Cloudflare
AI-assisted development
| 🏠 Personal site | eightman999.com — works and notes |
| 🎐 Furin Lab | furinlab.com — apps and public releases |
| 🤗 Hugging Face | Furinlab · J-LLM |
| 🇯🇵 Japanese tokenizers | J-series v2 collection |
| 🤝 Local LLM community | jimoto-no-llm · Bench of Us |
| 🍽️ OISINT | oisint.com |
| 🐦 X | @eightman999 |
| 💬 Discord | _eightman_ |
| 🍳 Off-keyboard | Cooking and eating good food |
💬 力は「出るもの出せるもの」
💬 「やってみよう」と「どうせ駄目だ」
— 羽仁もと子『羽仁もと子著作集』






