Hi on Fiveth

About AI Learning Tools

kmeykranz@qq.com (Fiveth) — Sun, 01 Feb 2026 00:00:00 +0000

First of all, I believe that as long as the note-taking method and mindset are correct, any note-taking software can be used. The most important thing for making good atomic notes is that the software must have the bidirectional linking function, because we need to build connections between knowledge.

Now let me talk about tools like IMA and NotebookLM. These are AI knowledge bases. How do they work? You throw in the books and videos you’ve found, and let the AI study them for you. It goes through all the material, summarizes and extracts the key points, then produces notes or even generates mind maps for you. I don’t recommend relying entirely on this method to manage your knowledge, because the learning process isn’t done by you, and the notes produced aren’t created by you either.

Here’s a concept: cognitive debt. When we use AI tools to think in place of our own brains, our efficiency improves in the short term, but in the long run our cognitive abilities weaken significantly. Our capacity for thinking and problem-solving will deteriorate.

So, we still need to manage our own knowledge—organize and learn it ourselves. That’s where Obsidian comes in: it’s our own personal knowledge management software.

An ideal workflow would be: use NotebookLM or similar tools to let AI summarize the knowledge points from books and videos, reducing some of the burden of reading them yourself. Then, treat the AI’s output as study material, and make your own notes from it.

Another concept is desirable difficulty: when learning, we should keep the difficulty level within an optimal range. If it’s too hard, we won’t understand and may give up. If it’s too easy, it won’t provide any real training.

When making your own notes, don’t just copy and paste. Use your own words to express the ideas. This is an application of the Feynman learning technique—input, then output.

Dream Detective

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

Dream Detective 梦境侦探

02/2026

GGJ China 2026 Game Project

GGJ Webpage | Play on itch.io

《梦境侦探》是一款2D剧情解谜游戏，你将成为一位拥有特殊能力的侦探，走进生者与死者的“梦境”。你将戴上面具，伪装成他们熟悉的人（或是小猫！），在人们的潜意识中寻找被刻意隐藏的线索。
随着调查的深入，你竟发现，这起诡异的案件也与你的身份息息相关……
面具之下，你能找到真相吗？

Dream Detective is a 2D narrative puzzle game. You take on the role of a detective with special abilities, stepping into the “dreams” of both the living and the dead. By wearing masks, you disguise yourself as someone familiar to them (or even a little cat!) and search within their subconscious for clues deliberately hidden away.

As the investigation deepens, you uncover that this strange case is closely tied to your own identity… Behind the mask, can you discover the truth?

DuckChat

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

DuckChat

05/2023

A simple chat app based on TCP network made with C++ and Qt.

Github Link | Video Showcase

A practice project for tcp network in Qt.

LivelyKitchen

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

LivelyKitchen

07/2025

10th place out of 48 teams in 2025 CiGA Game Jam (the Chinese largest 48-hour game development hackathon).

Github Link | Play on itch.io

Game Features:

Soul-Possession Mechanic: Play as a wandering spirit that possesses your units to unleash unique abilities.
Unit Abilities:
- 🔪 Chef’s Knife: Slice through enemies with a deadly swipe!
- 🍲 Pot: Shield your entire team with a protective barrier!
- 🥛 Milk Carton: Heal allies in a splash of creamy goodness!
Victory Condition: Eliminate ALL opposing units to win!

Made with: Godot 4.4.1 | Asperite

RectMan

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

RectMan

07/2023

A TCP‑Based Local Multiplayer Game built with C++ and the Qt 6.2.4 framework.

Github Link | Showcase Video

• Built a real time multiplayer system with TCP synchronization. • Designed a pseudo 3D world with dynamic camera tracking and AI zombies.

I made this game when I was in grade 10. It’s one of the games I developed without using a game engine. After learning about the tcp functions in Qt. I used them to make this game for practicing.

ScreenBro

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

ScreenBro

04/2024

A Cross‑Window Shooting Game built with C++ and SDL2 render library.

Showcase Video | Github Link

• Entirely coded from scratch without any game engine.
• Implemented a unique mechanic allowing characters to move across overlapping OS windows. • Techniques: state machines, scene management, and optimized movement logic.

Self‑Media on Digital Productivity & AI Learning

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

Digital Creator – Productivity & AI Learning Content

Ongoing

Build and engage a community of 176,000+ followers across Bilibili, RedNote, and Douyin by creating tutorials on knowledge management.

Bilibili | RedNote | Douyin

I create tutorials on Obsidian, helping people organize their life, work, and knowledge.

V-Ray

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

V-Ray

10/2022

Finalist Team in 2022-2023 Conrad Challenge China

Designed and developed V-Ray, a solar-powered 3D vision education device aimed at enhancing interactive learning experiences.
Selected as a finalist in the Conrad Challenge China for innovative application of renewable energy and 3D visualization in education.
Collaborated in a multidisciplinary team to conceptualize, prototype, and present the device to an international panel of judges.

VEX Robotics Programming

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

VEX Robotics Programming

02/2023

2023 VEX Robotics Asia Open Finals

Programmed and optimized the robot’s operating system using C++, focusing on motor velocity control and responsive controller key mapping.
Ensured reliable performance during competition by debugging and refining code under time constraints.
Collaborated with teammates to integrate hardware and software, contributing to overall team success at the finals.
Gained hands-on experience in robotics programming, control systems, and competitive engineering problem-solving.

ZooTodo

kmeykranz@qq.com (Fiveth) — Sat, 31 Jan 2026 00:00:00 +0000

ZooTodo

03/2024

Gamified Productivity To‑Do App with Virtual Rewards made with C++ and Qt.

Github Link | Showcase Video

Designed a motivational to do system where users earn interactive virtual animals.
Supports usage record checking and global shortcut keys for high efficiency.
Strongly aligns with my interest in productivity, knowledge systems, and user motivation.