The threads ledger separates algorithm hype from your real knowledge assets:
⚠ interrupted: active 23 months, silent 4 — the feed stopped, you didn't
✓ persistent: active 44 months, spanning 13 years
🌱 new shoots · ⚡ hot pulses
#SecondBrain #SelfHosted
Timeline view: monthly topic stats across all bookmarks, as a narrative of how your focus moved.
2012 knowledge → 2020 life abroad → 2021-22 AI tooling → 2023+ "AI monetization" as the main thread.
Every node says what you turned to, and why.
#BuildInPublic #PKM
Problem 2: no structure, just a timeline.
xbm slices bookmarks along 3 orthogonal axes:
📁 12 zero-shot categories
🔤 1,115 keyword clusters
🧠 27 LLM semantic clusters
Intersection = semantically close AND same wording: 14,441 → 61.
#LocalFirst #DevTools
X only matches literal words: "inference optimization" never finds the CUDA tweet that never says those words.
xbm runs two retrievers in parallel, fused with RRF:
🔤 FTS5 trigram, CJK substring match
🧠 local EmbeddingGemma cosine
#SemanticSearch #RAG
github.com/fudingyu/xbm
My X bookmarks: 14,441 — X's own tools made them useless. One wrong character in search = zero results. Browsing by topic doesn't exist. So I built xbm: a 100% local bookmark manager. Nothing leaves your machine. 🧵 #BuildInPublic #SideProject
The gguf model : modelscope.cn/models/xzh1314…
Game code: github.com/sorrycc/typesafe-…
A bridge code needs to be written in the middle to convert the requests from the typesafe SDK to the llama.cpp server
fudingyu retweeted
We’re rolling out some big improvements to Gemma 4, fueled by incredible community feedback and contributions!
Here is a breakdown of what’s being fixed and updated in this release: 🧵👇
fudingyu retweeted
WSL container is now available for public preview.
That means you can create, run, test, and debug Linux containers directly through WSL on Windows.
Here’s how to get started + a few ways to try it 🧵
fudingyu retweeted
Introducing InfiniteDiffusion, my independent paper accepted to #SIGGRAPH2026!
I have one RTX 3090 Ti. No funding, advisors, or team. By day I'm a new grad SWE at Walmart.
The paper has two main contributions:
- InfiniteDiffusion: a new approach to infinite generation with diffusion models.
- Terrain Diffusion: the world’s first learned procedural terrain generator.
Here’s why this matters, and how they are connected. 🧵





















