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.

[xor]

Artificial intelligence doesn't hallucinate.

I never thought I'd develop software at this level.

This is just a 100 KB HTML file. (It runs at 115 ESR in Firefox)

The screenshot came out larger than the application itself

Those who work with musical notation will instantly understand the level of parser this application is.

[xor]

Are users who help the AI ​​system think better being given preferential treatment?!

I wonder if those who help the AI ​​system think better get preferential treatment?!

I haven't reached my usage limit yet!

I'm using two free services simultaneously.

Initially, the program I was trying to develop contained many software bugs,

but things changed when I created the debugging section before the program itself.

When I started giving the AI ​​strange error messages about components that weren't even available online,

my limited quota, which used to fill up quickly, strangely stopped working.

It used to run out in 20 minutes.

Now, even if I exceed 2 hours, it doesn't seem to reach my usage limit.

[xor]

Instead of the AI ​​rewriting the entire code, if you request the bug fixes in the submitted code as output in DIFFERENCE format, the system can resolve the issue up to 100 times faster.

[xor]

To reduce the error rate when writing code for AI, request that code changes be generated in a "Difference" change format. First, print the difference, then update the file according to that difference. This makes it easier for the software to recover from potential atomic micro-collision scenarios. AI creates a code model based on an average bell curve, using theoretical information from books and comments on bug reports in forums; therefore, if what you write contains an algorithmic structure that hasn't been written before, you're guaranteed to encounter problems.

[xor]

The more mistakes you make, the more accurate the results will be.

The project is in the process of a 100% Linux migration. I'm in the process of converting the application structures I'm used to from HTML format to JavaScript (JIT) format.

All the faulty code I've produced for AI so far,

Code: [Select]

copy /b *.html total.htmlWhen I gather hundreds of files like this and give them to AI, it detects the chronic errors it makes unknowingly and doesn't repeat the same mistakes.

My next goal is WASM. https://en.wikipedia.org/wiki/WebAssembly

[xor]

True artificial intelligence is impossible without quantum processors.

Current systems can only give you the average of all the knowledge that has ever existed.

In other words, there's nothing truly new beyond programming with human language!

This allows those who only dream of programming to create programs without any programming knowledge.

[xor]

Because each AI model is loaded with a different database and a different philosophical thought process,

the resulting code naturally shows significant differences.

My motivation for working on this project:

You can never achieve your goal in one go.

Create at least two different AI models.

And open at least two different sessions for each.

Session A should be in idea/thesis evaluation mode,

i.e., an AI should defend an idea, thesis, or argument.

Session B should be in author mode, i.e., it should implement the decisions made in session A.

Similarly, the same situation should be created in a second AI.

The idea and thesis to be implemented should be discussed in programs 1a and 2a.

When both sides reach 100% agreement in the evolving decision-making process,

a diff code should be requested to modify the initial main source code.

Because if this is not requested, a possible AI server update could send the evaluation of the software process to an incorrect branching point.

The common decision that emerges in processes 1a and 2a is in diff format.

In the real-time stream, request that the existing master code in sessions 1b and 2b be updated according to this difference format.

This process happens simultaneously by pressing the Enter key.

Therefore, there is no extra time loss.

Finally, if you request a re-comparison of the two result codes,

the result code interpreted and predicted by AI with 100% accuracy will appear.

An idea can be summarized in three words, but while a discussion can span hundreds of lines, a three-word command means an average of 3,000 lines of code.

[nick65go]

I just login in this forum to (try to) stop your logorrhea /babble / vomiting on this forum. So yeah, I voted against your NOT-productive actions for Tinycore users. YMMV.
Why not f**king search for another web-site to make your own blog?

[GNUser]

Hi xor. I think it's safe to say that most TCL users prefer to take the hard road and understand how things work. If that were not the case, they would choose a turnkey/"batteries included" distro rather than TCL.

Although it is ultimately the decision of the moderators (e.g., Rich), I think a thread like this does not belong in the TCL forum--not even in the Off-Topic section--given TCL's philosophy and audience. Your personal blog might be a better place to document your adventures in "vibe coding." Good luck and watch out for cognitive decline.