Getting Started with ChatGPT in Embedded Systems: Implementing Lighting Programs for 51, STM32, Arduino, Raspberry Pi, and Linux

What is trending recently? I think ChatGPT must be one of them.

How popular can this be? I always thought it was only popular in the internet and technology fields, until recently when our local government’s official account and even the community were posting content related to ChatGPT…

I then realized that the extent of ChatGPT’s popularity far exceeded my understanding, so I decided to give it a try.

Without further ado, let me bring you various lighting programs in the embedded field for 51, STM32, Arduino, Raspberry Pi, Linux, etc.

Lighting Programs for Various Platforms

Beginners, pay attention, this is a hands-on lesson to get you started with embedded systems, implementing lighting programs for 51, STM32, Arduino, Raspberry Pi, Linux, etc.

1. 51 Microcontroller Lighting Program

2. STM32 Lighting Program

3. Arduino Lighting Program

4. Raspberry Pi Lighting Program

5. Linux Lighting Program

After watching ChatGPT teach you how to implement lighting programs for 51, STM32, Arduino, Raspberry Pi, Linux, etc., do you feel that getting started with embedded systems is quite easy?

As long as you are not a fool (I believe no one who can see this article would admit to being a fool, right?), I think this lighting program is not too difficult.

If you find even lighting difficult, I still advise you to give up on embedded systems.

Is ChatGPT amazing?

If you ask me if ChatGPT is amazing, I think it’s dozens or even hundreds of times better than the answers from certain search engines.

You might say: I just queried these simple “lighting programs”…

You might even say: ChatGPT is just searching for answers online…

Let me put it this way, ChatGPT originally comes from the beautiful country, so it should be better at English searches.

But when answering in Chinese, it is still relatively accurate, and the fluency of the sentences might even be higher than many of us.

Moreover, the same question might yield different results in different situations, for example, 【51 Microcontroller Lighting Program】:

You will find that asking the same 【51 Microcontroller Lighting Program】 yields different results, and the results are still quite “accurate”.

Can ChatGPT replace programmers and electronic engineers?

To give a direct answer: impossible!

ChatGPT indeed has many “superior abilities,” but it is not an all-powerful talent, and there are many jobs it cannot replace.

First, regarding programmers, although ChatGPT can write programs, it can only write some basic, template-based programs.

If you want it to write complex programs with business logic, it is definitely unrealistic. Even if it can write, I ask you, would you dare to use it in your product?

As for electronic engineers, it is even less likely to be replaced. Let me show you the answer: