Moments

Recently, I watched quite a few math-related videos on TikTok and found many interesting problem-solving techniques and ways of thinking. I took some time at noon to make an MVP demo using Codex, quickly implementing the idea:https://math.ygbase.cn/

It suddenly occurred to me that if I do some good code design and organizational architecture, I can let AI summarize it to help me output.

Let AI do the tedious and boring parts, so the resistance to output knowledge on my own becomes very small.

This is also a kind of distillation, isn't it?

I have taken leave in advance for my son.

Over the weekend, we drove to Mudanjiang City, to my son's grandmother's home to escape the heat.

Reasons for taking leave: First, the weather is too hot, and the classroom air conditioner blows directly at the seats. Second, the textbooks have been finished, and now we do test papers every day.

My current strategy is:
1. Read more, travel more.
2. During elementary school, participate in more physical exercise, and ensure physical development and nutrition keep up.
3. For science learning, cultivate the habit of hands-on reasoning and thinking more. It's acceptable to learn a bit slower and lose some points in exams.

Using AI to learn new skills is extremely efficient.

Laying the foundation, explaining concepts, background principles, practicing solutions, organizing knowledge. This is my learning process.

Of course, the entire process requires your own guidance and organization, because everyone's thoughts and ways of thinking are different, so the overall effect and feeling will also differ.

In the early stages of MVP, the priority should be on making rational decisions in business logic and focusing on running through core processes, with monolithic applications and local development being prioritized. UI, interaction, permissions, deployment, etc., should be addressed in subsequent phases.

It's crucial to avoid wasting energy on non-core aspects, reduce cognitive load, and quickly validate feasibility.