teleren/devto huggingface dataset:
Amazon's dilemma: Low-quality books produced by ChatGPT
Tags: chatgpt, amazon, llama2, openai
Published: 2023-10-27 17:11:39


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/03avxp0tsqgg6ynixal2.png)
With the rise of artificial intelligence (AI) and its increasingly deep integration into various industries, a unique problem has emerged on platforms like Amazon: the proliferation of low-quality books generated by language models such as ChatGPT.

Amazon, the e-commerce giant, has hosted a vast variety of books for years, ranging from international bestsellers to independent publications. However, with the ease and accessibility of self-publishing tools, coupled with AI's ability to swiftly generate content, there has been a flood of books that, while they might seem appealing at first glance, lack depth, originality, and genuine literary value.

These books, often mass-produced by ChatGPT or similar technologies, present several challenges:

    Market Saturation: The ease with which these books can be produced and listed makes it challenging for readers to distinguish between quality content and automated "filler".

    Devaluation of Authorial Effort: Authors who invest time and effort into researching, writing, and revising their work might find themselves overshadowed by the deluge of automated content, discouraging genuine creativity.

    Potential Copyright Infringements: Some AI models might inadvertently produce content that resembles or even replicates protected works, leading to potential legal breaches.

    Questionable Quality: While models like ChatGPT are remarkable in their ability to generate coherent text, they don't always produce accurate, well-researched, or genuinely valuable material for readers.

Faced with this landscape, Amazon and other platforms have the challenge of moderating and ensuring the quality of the content they host. It's crucial to develop more robust detection and control systems that can identify and filter out such AI-generated content. There are some [ways to detect AI-generated content](https://makiai.com/en/ways-to-detect-ai-generated-educational-work-such-as-chatgpt/), but for how long? Moreover, educating consumers on how to recognize and value authenticity and quality in literature is essential.

AI, for all its wonders and capabilities, also brings with it challenges and responsibilities. In the case of literature on platforms like Amazon, it's vital to adopt measures to preserve the integrity of the literary ecosystem and protect both genuine authors and consumers from being swamped by low-quality content.
React is dying... but not because there are better options.
Published: 2023-10-27 17:09:29

This is gonna be short one and its just something that I have been seeing following the recent launch of that stupid OpenAI project, we all love and hate, chatGPT.

If you have not been under a damn rock, you would be aware the market for developers has plummeted since December 2022, like the respect for that mob boss in the sopranos (You know who I mean, don't you? right?).

And Of course the first group that got hit were the frontend devs. And we all know why: it's because of chatGPT. But is it? That is the consensus right now, but - and the older dudes who are longer in the industry can back me up - that is not the whole truth. 

The truth is (this is sounding like a soviet magazine) that a giant ass ecosystem around no-code tools has been growing under our nose and nobody really amongst the devs picket it up, except the ones with the money: corporate idiots, Linkedin gurus, bootcamp geniuses etc. you get the idea. 

Now the facts part: Big Mega Corporation such as APPLE are already using nocode platforms (which they coded themselves) to do most of what the frontend devs were reponsible for. I know this for a fact, having worked a few months as an intern at Apple back in college. And this is 8 years ago. And I am sure as those platforms are getting better and easier to handle for people who cannot code at all, the frontend devs get the shit. Make it what you will. 

But why am I worried? Well, the current commercial no-code platforms (I am not naming any names as I am not affiliated and they are getting enough attention already) are getting really good at doing the code and working with APIS and Webhooks as well. So obviously companies will, mostly new ones are never gonna hire devs in the fist place. Developers will become freelancers, hired just to fix the mess that the design department is producing, or hell, even the buggy platforms themselves are creating. Maybe that is a good thing. We all wanted home office and freedom anyway right? right? 

Share your thoughts... I did not wish to keep this to scientific, it's just something we all feel and nobody expresses.
El dilema de Amazon: Libros de baja calidad producidos por ChatGPT
Tags: amazon, chatgpt, books, openai
Published: 2023-10-27 17:06:12


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/7zv6j825ifrt477brfa4.png)
Con el advenimiento de la inteligencia artificial (IA) y su integración cada vez más profunda en diversas industrias, ha surgido un problema peculiar en plataformas como Amazon: la proliferación de libros de baja calidad generados por modelos de lenguaje como ChatGPT.

Amazon, el gigante del comercio electrónico, ha albergado durante años una vasta variedad de libros, desde bestsellers internacionales hasta publicaciones independientes. Sin embargo, con la facilidad y accesibilidad de las herramientas de autoedición, sumado a la capacidad de IA para generar contenido rápidamente, se ha observado una avalancha de libros que, aunque pueden parecer atractivos a primera vista, carecen de profundidad, originalidad y valor literario genuino.

Estos libros, a menudo generados en masa por ChatGPT u otras tecnologías similares, presentan varios problemas:

    Saturación del mercado: La facilidad con la que se pueden generar y listar estos libros hace que sea difícil para los lectores discernir entre contenido de calidad y "relleno" automatizado.

    Devaluación del esfuerzo autoral: Los autores que dedican tiempo y esfuerzo en investigar, redactar y revisar su trabajo pueden verse eclipsados por la avalancha de contenido automatizado, desalentando la auténtica creatividad.

    Posibles violaciones de derechos de autor: Algunos modelos de IA pueden, inadvertidamente, generar contenido que se asemeje o incluso replique trabajos protegidos, llevando a posibles infracciones legales.

    Calidad cuestionable: Aunque modelos como ChatGPT son impresionantes en su capacidad para generar texto coherente, no siempre producen material preciso, bien investigado o que ofrezca valor real a los lectores.

Ante este panorama, Amazon y otras plataformas enfrentan el reto de moderar y garantizar la calidad del contenido que se publica. Es vital desarrollar sistemas de detección y control más robustos que puedan identificar y filtrar este tipo de contenidos generados por IA. Hay [detectores de textos generados por IA](https://makiai.com/maneras-de-detectar-trabajos-educativos-generados-por-ia-como-chatgpt/) pero....¿por cuánto tiempo serán fiables?. Además, es esencial educar a los consumidores sobre cómo identificar y valorar la autenticidad y calidad en la literatura.

La IA, con todas sus maravillas y capacidades, también trae consigo retos y responsabilidades. En el caso de la literatura en plataformas como Amazon, es fundamental que se adopten medidas para preservar la integridad del ecosistema literario y proteger tanto a autores genuinos como a consumidores de ser inundados por contenido de baja calidad.
Cracking the Code: Communicating Tech to Non-Tech
Tags: webdev, devops, programming, discuss
Published: 2023-10-27 16:42:06

Hey devs,

How do you get non-techies to understand you? I mean when we're chatting, at the coffee break, or when you're writing your release notes.

What are your strategies for ensuring that the average person understands our jargon (and incidentally that they don't get release notes based on "fixed bugs")?

Let's hear it!
Hacking October Fest or HacktoberFest
Tags: hacktoberfest23, hacktoberfest, discuss, about
Published: 2023-10-27 16:36:47

Hi there! This is my Actually First Real Post on Dev.to I'm kind of excited for this...
Ok now let's get on the topic.

As we all know October is the month of Hackathon. I decided to participate in HacktoberFest 2023 and MLH {Major League Hacking}.
We all know The HacktoberFest Challenge. You have to Merge your 4 PR {Pull Request} successfully without violating the guidelines. If you get 2 spams PR, you are disqualified from the HacktoberFest.

And the Rewards for the HacktoberFest was: -

* You get Virtual Badges on Holopin.
* When your first PR get merged you get to plant a tree and you get a badge on Holopin.
* When your 4 PR get merged and verified. You get a Reward Kit. And again, lots of badges in Holopin.

You might not be familiar with the MLH. It's an organization which organizes Events throughout the year related to Hacking. In the Web industry "Hacking" means creating new things. {This is what I have inferred}. Click on [this](https://ghw.mlh.io/) link to visit their website. 

During the third week. The event Open-Source-Challenge Started {it's now removed from the Website. And occurs every year}. I had to just complete 3 main challenges. And there were many Events going on in it. For example: -

* Game Dev with Dimmer
* Today in Open Source
* Invoice Generation App
* And many more

By completing the 3 main challenges. You get a mail from them that you have unlocked the basic swag which included stickers, Post Card and Hex Sticker. You can go to the [Swag Section] (https://ghw.mlh.io/swag) to checkout more on it.

My experience was **amazing** in the HacktoberFest and MLH Global hack Week.

You can also share your thoughts and experiences. I'll like to hear from all of you.
How to Debug Segmentation Fault in C++
Tags: cpp, debugging, tutorial, programming
Published: 2023-10-27 16:22:08

Hello, Dev.to community! Encountering a segmentation fault in C++ can be daunting, but fear not! Debugging this common error is much more manageable when you know the right tools and techniques. In this article, we'll explore what causes segmentation faults and how to diagnose them.

## What is a Segmentation Fault?

A segmentation fault (or **segfault**) occurs when your program tries to read or write to a memory location it's not allowed to access. Common causes include dereferencing a NULL pointer, accessing an array out of its bounds, or using memory that has already been freed.

## Steps to Debug a Segmentation Fault
**1. Compiler Warnings**

Before diving deep into debugging, ensure that you compile your program with warnings enabled:

```
g++ -Wall -Wextra -o my_program my_program.cpp
```

Often, the compiler can provide hints or even directly point out problematic areas in the code.

**2. Use a Debugger (like GDB)**
The GNU Debugger (**GDB**) is a powerful tool for debugging C++ programs:

**Compile your program with debugging information:**

```
g++ -g -o my_program my_program.cpp
```

**Start GDB:**

```
gdb ./my_program
```

**Run your program inside GDB:**

```
run [program arguments]
```

If a segmentation fault occurs, GDB will provide the line number and function where the segfault happened. This information is instrumental in identifying the root cause.

## Sorry for interruption :- 
follow  US on WhatsApp For regular updates - [WhatsApp ScriptSquad ](https://www.whatsapp.com/channel/0029Va61UMd6BIEnLZAppO0L)
YouTube Channel - [ScriptSquad 01](https://www.youtube.com/@AlgorithmAtlas/featured)


**3. Inspect Stack Trace**
When your program crashes inside GDB, you can view the stack trace with:

```
bt
```

This command provides a breakdown of function calls leading up to the crash, helping you trace back to the problematic code.

**4. AddressSanitizer**
AddressSanitizer is a runtime memory error detector. It's beneficial for detecting out-of-bounds accesses and use-after-free bugs:

Compile your program with **AddressSanitizer**:

```
g++ -fsanitize=address -o my_program my_program.cpp
```

Run your program:

```
Run your program:
```

If there are any memory violations, AddressSanitizer will provide detailed reports, making it easier to pinpoint and resolve the issues.

5. Code Review and Simplification
If you're still unable to locate the issue, simplify your code:

Comment out sections of your code to isolate the problem area.
Double-check array indices, pointer initializations, and dynamic memory allocations/deallocations.
Ensure all memory accessed is properly initialized.
Conclusion
While segmentation faults can initially seem mystifying, with the right tools and strategies, they become much more approachable. Remember always to compile with warnings, use debuggers like GDB, leverage tools like AddressSanitizer, and when in doubt, simplify and review your code.

**Happy debugging and coding!**
<> Assim </> ou <div> Assado </div> ⚛️
Tags: react, reactjsdevelopment, beginners
Published: 2023-10-27 16:11:33

Fala galeres ! Biene? Bora de conteúdo referente a _performance em React_ 😌

---


Já sabemos, se não sabemos vamos sabemos agora, que para renderizarmos um componente ou múltiplos componentes no React JSX/TSX, precisamos englobá-los dentro de um **único** "invólucro".


![Code lines](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qkoxhpeoh99fz6n5kxk3.png)

> Renderização Funcionando 👍


![Code lines](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/is6n0udzginsrnl7vr0q.png)

> Renderização com Erro 👎

Sabendo dessas nossas premissas iniciais, vamos às abordagens em questão.

## <> </>
`<Fragment>`, comumante empregado com sintaxe <> </> , permite tu agrupar vários componentes em um _render_ sem criar um nó extra, de acordo com nossoa [documentação fresquinha](https://react.dev/reference/react/Fragment).


![Code lines](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wr5t0cf3anz8xglg849j.png)

<div> </div>
Do outro lado do ringue, temos a tag `<div>` , oriunda do html e frequentemente usado para agrupar elementos.

![Code lines](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/n05vaz28uxovsxkm9m92.png)

🤼‍♀️ Em geral, usar React Fragments pode levar a um melhor desempenho, acompanhe:

- Velocidade
O elemento `<div>` cria um nó na DOM e ocupa um certo espaço, mas o `<Fragment>` nunca cria um nó na DOM e não ocupa espaço, o que torna o aplicativo um pouco mais rápido. **Fragment**➕1️⃣

- DOM menos confusa
Ter várias `<div>` aninhadas faz a DOM se tornar maior e mais difícil de interpretar a leitura, com `<Fragment>`, essa leitura se torna um facilitada para interpretar e debugar.
**Fragment**➕1️⃣

- Estilização
Com o container principal sendo um fragmento, não é possível fazer sua estilização, então avalie sua usabilidade.
**Div**➕1️⃣

---

Finalizamos nosso post , mas antes de ir, o código está [aqui](https://stackblitz.com/edit/react-ts-49xpds?file=App.tsx), e se gostou e fez sentido, não se esqueça de reagir e comentar, isso me motiva muito!

💻 GitHub: [cristianmeelo](https://github.com/cristianmeelo)
💼 LinkedIn: [Cristian Melo](https://www.linkedin.com/in/cristian-melo/)
How to run dbt from python, with dlt's core and cloud runners
Published: 2023-10-27 16:03:56

We created open source dbt runners to enable easy running of dbt from python

Here is the blog post about the use cases:
[dbt runners use cases](https://dlthub.com/docs/blog/dbt-runners-usage)

Here are the docs to use the 2 runners:
### [dbt core runner](https://dlthub.com/docs/dlt-ecosystem/transformations/dbt/)
- Supports creating venv on the fly and installing dbt, copying the code and running the package in it.
- Supports passing credentials via dlt's credentials, which support also directly passing them in python.
- Can run code from local or public online repo.

### [dbt cloud runner](https://dlthub.com/docs/dlt-ecosystem/transformations/dbt/dbt_cloud)
- Supports starting an existing job and waiting for it to end
Python fundamentals (1 of 2): How to install and run python
Tags: python
Published: 2023-10-27 13:47:04

# Installing python
To install python, go to the python downloads page:  https://www.python.org/downloads/

To see python version installed, type python -VV  in the command line.

To see which version of python you are running and where it is installed in linux:
```
ls -l $(which python)
```

# Where do I run python?
Once python is installed, you can run python from several places.

## Run python with IDLE
When you install python you get the Integrated Development and Learning Environment (IDLE) which is where most beginners start writing programs.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/qs50iekg3m76yyl62oe6.png)

If you are going to write a program with any complexity however, I would recommend you use an IDE like vs code that allows you to set breakpoints and pause program execution.  This is possible in IDLE, but it is fairly rudimentary.

## Run python with VS Code 
Download vs code from https://code.visualstudio.com/download

Add the python extension to VS Code, by clicking on the extensions side button:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wn9xrpi5lh0kfw3si4a5.png)

and searching for python.  The correct python package to install is this one:

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/wyjzrxaywuqhiu40jtse.png)


Then go ahead and create a hello world python file:
```
print('hello world!')
```
Now hit 'F5' to run it in VS Code.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4ujd48b69pi97bxkqo4l.png)

Select "Python File Debug the currently active python file" and it will run.

This will run in the terminal at the bottom of VS Code.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/xpafk6ehrrkml02zp0xp.png)

Note: if you use break points in vs code and want to see the value of variables or run python commands while the program is paused, go to the debug console at the bottom and start typing away!  See below for an example:


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/so0w9k2esx9549sp0pqw.png)



## Run python inside a shell

Python shell is created from your command line tool by typing in "python".  You are rewarded with '>>>' to indicate you are properly in a python shell.

If this doesn't work for you, and you get an error like this:


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/1g02vmrs3t8inxk5l4gm.png)

then the problem is that you need to add this to your operating system's path variable.  

See part 2 for how to figure out path variable issues.  [Part 2 - Python Fundamentals: Install packages and dealing with PATH variables](https://dev.to/thebridge2/python-basics-1-of-n-how-to-run-python-and-install-packages-path-variable-1dc2)
javascript - wrappin gifts using *
Published: 2023-10-27 15:54:47


```JS
const giftList = ["cat", "a dog"]
function wrap(str){
  const strNumber = str.length
  let layer = "**"
  let counter = 0
  while (counter < strNumber) {
	layer = layer.concat("*")
    counter = counter + 1;
  } 
  str =  "*".concat(str.concat("*"))
  return layer.concat("\n", str, "\n", layer)
}

console.log(giftList .map(gift => wrap(gift)))
```

result:

```JSON
["
*****
*cat*
*****
", 

"
*******
*a dog*
*******
"]
```
How to run Python IDLE on a Mac
Tags: beginners, tutorial, python, programming
Published: 2023-10-27 15:52:43

## How to run Python IDLE on a Mac

## Step 1

Start by opening Launchpad

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/dlpf25k96vgk22ve7mpk.jpeg)

## Step 2

Click IDLE. (If there's no IDLE icon to click, Python 3 may not be installed correctly.[Follow these instructions to install it.](https://dev.to/vayolapradeep/how-to-download-and-installpython-3-for-mac-2o9n)


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ywxoz6x80jey2d6y10qy.jpeg)

## Step 3

The Python Shell opens. It's similar to the Windows, Mac, and Linux terminals. Appendix C in the book shows you how to run Python in a terminal.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/ttzu0v6lkcs56iqy2q09.jpeg)

## Step 4

We're going to use the IDLE editor. It allows you to create a Python program that you can save. To open the IDLE editor, begin by clicking _**File**_


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/iqhr7nh55ad1n5xfnufc.jpeg)

## Step 5

Click New File.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/4r32dykk5865dnb2gcj7.jpeg)

You're now in the editor.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/f2yiuxjzg6ts8ngmtvxb.jpeg)

## Step 6

Writing some code. For eg: Carefully type in this code:

```javascript
import turtle
turtle.fd(100)
```

The command `import turtle` tells Python to borrow the turtle graphics library for our program. 

`turtle.fd(100)` means move the turtle forward 100 steps in the current direction.

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/73x9s0kzfrivfei5tloz.jpeg)

## Step 7

Save the program. **Press ctrl-s**. Save the file to the specific folder for python projects as `shapes.py`

![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/9vmb12m8pq9vbecw5w4a.jpeg)

## Step 8

To run the `shapes.py` program, click Run, then Run Module.


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/hfzakceqtkd64dor8mqw.jpeg)

output window opens and displays your results


![Image description](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/bod55xkz5ujlgvq0w1me.jpeg)
Dwm change workspace behavior
Tags: dwm, ai, linux
Published: 2023-10-27 15:52:04

# I want the following

**Every time I close the last window in a certain workspace the dwm jumps to the next active window.** 

I asked to our beloved bard.google.com: 
dwm linux - when close last window jump to the next active workspace

**and he said:**
To make dwm jump to the next active workspace when you close the last window in the current workspace, you can add the following line to your config.h file:

    #define SWAPWORKSPACESONLASTWINDOWCLOSE 1

Once you have added this line, recompile and install dwm. Now, whenever you close the last window in a workspace, dwm will automatically switch to the next active workspace.

The suggested change worked nicely and now my workflow improved a little bit more. The feeling is: The Linux world is endless, it gives us endless customization on the tip of our fingers.
WTFDuino
Tags: arduino, wtfduino
Published: 2023-10-27 15:20:13

Many moons ago (2015 to be exact) , myself and a colleague, at Middlesex University were discussing the merits of Arduino programming. 

And then an idea was born. Not a good idea, but an idea non-the-less. 

What if you made an arduino that was not good?

WTFDuino was the realisation of that dream

--- 

## Design

I designed a PCB in an afternoon. Paid for a couple of prototypes in yellow, and voilá... my work was done...

![Banana](https://dev-to-uploads.s3.amazonaws.com/uploads/articles/6h7x5o3s6fyfnoyxey6j.jpg)

## Market
The next thing to do was market it.... So a couple of silly evenings with a video camera later....

{% embed https://www.youtube.com/watch?v=H9GFnzRUP3A %}

{% embed https://www.youtube.com/watch?v=KAL0XMIszVk %}

And suddenly it started to pick up a little press.

https://technabob.com/blog/2015/07/14/banana-shaped-closed-source-arduino/

https://mechstuff.com/banana-arduino/

And even a small mention on hackaday!

https://hackaday.com/2015/07/12/hackaday-links-july-12-2015/

---

## Sell?

So was it a roaring commercial success? 

No... I never sold it. Instead a guy in china copied it and released the gerber files for free on github. I wasnt even cross.... I had an error in one of my traces, and he fixed it....

Is there a moral to this story? No.. It is just a reminder that I can design a PCB in the shape of a friut if I want