Lee Hanchung

While TFA is not bad, some of the links contained in it are even more interesting, for example: https://leehanchung.github.io/blogs/2026/04/05/the-ai-great-leap-forwa… https://github.com/0xdeadbeefnetwork/ssh-keysign-pwn https://lwn.net/Articles/1072007/#Comments

Not a direct answer to your question, but at least in English there isn’t that much stuff on how TikTok’s recommendation system works internally. This is the best breakdown I have found on TikTok’s recommendation system internals: https://leehanchung.github.io/2020-02-18-Tik-Tok-Algorithm/ There’s a more technical recent paper from bytedance as well: https://arxiv.org/pdf/2007.07203.pdf And another recent one on bytedance user profile system, this paper gives the deepest understanding of their recommendation system: https://www.cs.princeton.edu/courses/archive/spring21/cos598D/icde_202… There’s a good breakdown of the recent nytimes article on TikTok’s internals here: https://read.deeplearning.ai/the-batch/issue-122/ If anyone has found anything better let me know. If you try searching yourself you will want to try switching between the keywords “douyin” “toutiao” “bytedance” and “tiktok.”

From the clear path of attention is all you need, to the divergent fog of deep research, AI winter is coming. https://leehanchung.github.io/assets/img/2025-02-26/05-quadrants.png

Most guides to wringing productivity out of these higher level Claude code abstractions suffer from conceptual and wall-of-text overload. Maybe it's unavoidable but it's tough to really dig into these things. One of the things that bugs me about AI-first software development is it seems to have swung the pendulum of "software engineering is riddled with terrible documentation" to "software engineering is riddled with overly verbose, borderline prolix, documentation" and I've found that to be true of blog and reddit posts about using claude code. Examples: https://www.reddit.com/r/ClaudeAI/comments/1oivjvm/claude_code_is_a_be… and https://leehanchung.github.io/blogs/2025/10/26/claude-skills-deep-dive… These are thoughtful posts, they just are too damn long and I suspect that's _because_ of AI. And I say this as someone who is hungry to learn as much as I can about these Claude code patterns. There is something weirdly inhumane about the way these walls of text posts or READMEs just pummel you with documentation.