ChatGPT: Confirmation of the fourth industrial revolution
New potentials, controversies and dilemmas in the new world of generative intelligences.
If you haven’t been following the news of artificial intelligence (AI) innovation over the last few months, you’ve probably missed the news, but let’s help you understand what’s happening in the AI market and space. In early December 2021, the OpenAI company, creator of GPT-2, an AI capable of creating texts based on word inputs, launched a chat platform called ChatGPT. So far, nothing surprising, but what draws attention to this platform is its enormous potential for the future of AI in the world.
To give you an idea of the growth, this open-source platform reached an incredible one million users in just 5 days. To put it in an order of magnitude, not even social networks have achieved this feat. Netflix took 5 years to reach its first million users, Facebook took 10 months, Spotify took 5 months.
OpenAI is a non-profit organization founded in 2015 by philanthropists and technology entrepreneurs with the goal of advancing AI. It already had Elon Musk, who left the board 3 years ago, due to differences of opinion with the other members.
This AI is capable of taking in any word, question or request you might make and answering or creating text based on that information in a conversational way. She was trained from repetitive feedback to always improve her results and classify them as relevant or not, a technique known as “Reinforcement Learning from Human Feedback”, or machine-assisted teaching. Today, ChatGPT is at version 3. To get an idea of the computational power of the AI, the first version was trained with 7,000 books, the second version was trained with 8 million documents and the third version was used 45 terabytes of data, including Wikipedia and books. There are 175 billion parameters, approximately 100 times more than version 2. And for version 4, which is being eagerly awaited in the market, it will be approximately 500 times more powerful than the third version, according to AI expert Igor Coutoia.
Controversy involving ChatGPT
The ChatGPT responses are so elaborate that “they gave more strength to the questioning of the future of some professions, such as writers, lawyers, researchers and journalists” (Soares, 2022). According to Professor Jordan Peterson, PhD in Psychology at the University of Toronto, the creation of ChatGPT already compares to a revolution, as well as that of Gutenberg with the printing press that allowed mass writing of books and the creation of the printing press.
And not just writing, but the creation of content, translation, proofreading, customer service and sentiment analysis may, in the very near future, have the intervention of highly trained machines. For example, see what ChatGPT is able to answer about the question “What are the main characteristics to be a good leader?”.

Fonte: StartSe 2022.
But are they just texts? No. ChatGPT is able to create mathematical formulas from text, correct and write codes in different programming languages, translate languages, create summaries, make recommendations and much more.
ChatGPT is part of a type of artificial intelligence called Generative Artificial Intelligence. This type of intelligence is capable of creating something new and complex from data inputted into a system. Daniel Pink, American author, in “A Whole New Mind” (A Whole New Mind, 2005) already argued that the human mind, in the future, would still play an important role in adding value to these new technologies in relation to their jobs. However, the current debate is even bigger: will some professions still exist in the future?
Generative Intelligence Division
Generative artificial intelligences are divided into several groups:
· text-to-gif (T2G): word inputs that are turned into GIFs;
· text-to-3D (T2D): word inputs that are transformed into 3D projections;
· text-to-text (T2T): word inputs that are converted into texts, of the most varied and complex kind;
· text-to-NFT (T2N): word inputs that can be transformed into a wide variety of NFTs;
· text-to-code (T2C): word inputs in codes ready to be used in software;
· text-to-image (T2I): word inputs that are converted into images;
· text-to-audio (T2S): word inputs that are converted into audio;
· text-to-video (T2V): word inputs that are converted to video;
· text-to-music (T2M): word inputs that are converted into music;
· text-to-motion (T2Mo): word inputs that are converted into videos with animations;
· audio-to-text (A2T): audio inputs that are converted into texts;
· audio-to-audio (A2A): audio inputs that are converted into more complex audio;
· image-to-text (I2T): inputs of images in words;
Below is a map of the main generative AI that already exist in the market.

Fonte: Aaron Sim, EtherSiim 2023.
Will ChatGPT replace Google?
This is the big question hanging in the air. In fact, ChatGPT, in a short period of time, has surprised the community. Google itself is closely following the evolution of artificial intelligence (AI) and has already announced that it is building its own text-to-text solution called CALM.
What scares the market the most is that, so far, ChatGPT is free. You can create an OpenAI account and use ChatGPT free of charge, which will likely change with joining the tool. To get an idea, OpenAI is still a foundation that survives mostly on donations, so for this platform to be purchased and have a boom in profitability from what the machine can generate is not difficult.
Despite Google’s signaling, the main developer responsible for Gmail, Paul Buchheit, already signals that ChatGPT and similar mechanisms will replace search engines in up to 2 years, that is, possibly 2025.
As of January 2023, ChatGPT has already been valued at $29 billion USD, which makes rumors of a possible sale ever closer.
So let’s talk business, where do products come into it?
What can this tool do?
Right off the bat, we can already mention that the creation of content for social networks and even academic texts, or entrance exam essays, were tested this week by the press.
· Customer and user sentiment analysis;
· Get insights with your proper A/B testing analysis;
· Best branding practices for products and brands;
· Chatbots whose interaction simulates a conversation with a human being that has no dead ends (unwanted responses that the bot does not know how to answer);
· Evaluating the quality of leads is one of the possibilities offered by ChatGPT;
· Create texts with the best SEO practices;
· Summaries of complex topics to assist in the macro and microeconomic analysis of a business;
· Creation of personalized group dynamics to solve business problems;
· Automatic presentations;
· User stories;
· Personalized diets and training are other possibilities;
· ChatGPT can be integrated with other platforms, such as the American one; DoNotPay uses it to do debt negotiations automatically;
· No Code push;
· Debugging complex codes;
· Creating custom contracts;
· Creation of scripts, macros and Excel spreadsheets with complex formulas;
In summary, ChatGPT has enormous potential for automation, analysis and responsiveness, and there are still many opportunities to be explored. Its ability to automate processes can be seen as part of the fourth industrial revolution, and can be a valuable tool for companies and industries. It’s a good idea to take a look at this tool to understand its possibilities and how it can benefit your company or business.
Have you tested this new tool that is shaking the world of technology?
Note — text revised by ChatGPT on 1/16/2023 at 11:12 PM.
References
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COUTOIA, Igor. What do you think ChatGPT could improve? Blog. Available at <https://www.tiktok.com/@igorcoutoia/video/7188308462818872582?_r=1&_t=8Z5OUKN9GEv> Accessed on 01/16/2023 at 22:17;
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