My experimental AI testing attempt was successful :)

[xor]

Please paste the topic, text, article, notes, or subject you want converted into **AITP-META-v2** format.

For example:

**Input**

> Explain how solar panels generate electricity.

**Output (AITP-META-v2 example structure)**

```
[AITP-META-v2]

TITLE:
Solar Panel Electricity Generation

INTENT:
Educational explanation

ACTORS:
- Sunlight
- Solar cells
- Electrical system

CORE CONCEPTS:
- Photovoltaic effect
- Electron movement
- DC electricity generation

PROCESS:
1. Sunlight strikes photovoltaic cells.
2. Photons transfer energy to electrons.
3. Electrons become mobile and create current.
4. Current is collected as DC electricity.
5. Inverters convert DC to AC for use.

INPUTS:
- Sunlight
- Photovoltaic material

OUTPUTS:
- Electrical energy

KEY INSIGHTS:
- No combustion is required.
- Energy conversion occurs at the material level.

SUMMARY:
Solar panels convert sunlight into electricity through the photovoltaic effect, generating usable electrical power.
```

[xor]

Instead of passing thousands of lines of code to a different AI, working with this method is more efficient. AI A and AI B cannot adopt the same coding logic; in this respect, while A writes the same programming language differently, B may not be able to use certain parts of the language well. At this point, by giving the main idea and comparing the best parts of the two components in a table, and combining the best parts, a much better program structure is created.

[xor]

This method works successfully on all known AI models. I didn't need to specify a particular AI model

I'm writing this using automatic translation. ; automatic translation ; It translates the commands given to the AI ​​as human-like suggestions
Enter the commands as instructions or commands;

After writing a long code for your AI software project, enter the following command:

Code: [Select]

"Rewrite the code from scratch based on the AITP-META dump of this code." ((Enter this sentence as a command))
The logic works like this;
Instead of randomly renovating the old building, this command will recreate the entire master plan of the building and,
Based on updated architectural and structural calculations, it will rebuild the original structure and patterns from scratch in a more robust and stable way.

The point here is that AI is trying to recreate the core idea of ​​the structure we're attempting to shape with the limited information we have.
This way, perhaps with up-to-date information not found in our textbooks, the code can be rebuilt with the original idea in mind.
Since every modification will be a kind of patch, nothing will be as solid as a brand new building constructed from scratch!

[xor]

I'm working on a new project:

"Learning artificial intelligence through thinking"

I don't know where this will lead us;

but let's move a little faster,

after all, we don't live in paradise.