Just a few years ago, the word “to create” was associated with effort, sometimes and experience. Today, one text field and a few seconds are enough. Generative AI – systems capable of creating texts, images, code, music and films – revolutionized our concept of creativity. Chatgpt writes essays, Midjourney paints paintings, and Copilot writes the code faster than Junior Developer. Is it a liberation of human creative energy or the beginning of a new era … laziness and a crisis of competence?
What once was the privilege of artists, programmers and writers is available to everyone today. But does this mean that we have all become creators – did we just stop distinguishing value from imitation?
– Quote about AI, from AI.
Imagine …
… nineteen -year -old Zosia. He sits at the kitchen table in a small apartment in a block of large slab. Her dream is to create games – but there is no budget, she does not know programming languages, he cannot draw. Today he enters in chatgpt: “Generate the story of an interactive detective game in the Noir style, set in Warsaw, 30 years old”. Then he asks Midjourney for illustrations, and Github Copilot helps her write the code.
In a few days he releases the first demo.
She did not complete any course. She had no team. And yet – she created something from scratch.
This is not science fiction. It’s a reality. This is a generative AI.
New creators or only prompt operators?
From when Chatgpt, Claude, Gemini, Sora And other generative artificial intelligence systems have settled in our tools for good, “creating” has become more accessible than ever. Therefore, the border between “creation” and “generation” began to blur. You don’t have to be an artist anymore to create a picture. All you need is a text prompt: “Surreal portrait in the style of Salvador Dali, moon over the city of the future”. The algorithm will do the rest for you.
DeepseekWhether Stable Diffusion Today it is more than just tools – these are creative machines learning our aesthetics and language. Based on large language models (LLM) and transformer architecture, they analyze billions of data to predict what can be beautiful, sensible and interesting for man.
But the question arises: is it enough to be able to write a good prompt to be a creator?
Prompt Engineering, or new internet alchemy
Prompt engineering (Prompt Engineering) This is a real art today. It requires understanding how the model works, how he thinks (or rather: how it predicts) and how to “cheat” it to spit out exactly what we want. It’s like enchanting the dragon with words.
Generative ai tools such as GitHub Copilot, Dall · E Whether Midjourneynot only help in creating – they often suggest something that we would not think about. They create a surprise. Surprise. Creative “WOW”. But is it still our creativity – is it someone else?
Ai Slop, i.e. when art turns into spam
Along with the flood of content generated by AI, the Internet begins to resemble a crowded gallery full of repetitive graphics and artificially inspired texts. A phenomenon is created known as Ai Slop – “CONTENT PREY”which is a lot, but whose value decreases with every second.
This is a paradox: the more we generate, the less it means.
Jailbreaking, deepfake and the shadow of hope
However, one cannot talk about generative AI, not to mention its darker faces: Deepfakes, jailbreaking, information manipulation and … AI Act – a European regulation that tries to catch up with technology by law.
Emblivation (embedding) of knowledge in models gives amazing educational opportunities, but also carries the risk of promoting errors and consolidating prejudices. And the AI carbon trail is not only an ethical but also atmospheric dilemma.
Democratization of creativity or a crisis of competence?
Today we have unprecedented access to tools that would require teams of specialists and million budgets a decade ago. Thanks to AI, everyone can create. Literally – everyone. Regardless of the educational facilities and regardless of your financial resources.
Generating text, image, code or video from the text has become … almost banal. But in this simplicity there is a paradox.
When machines can imitate human creativity, we begin to question the value of our own skills. Since one text field is enough to create a picture better than after months of an illustration course – why learn? If generating the source code becomes a routine supported by Github Copilot, is it worth knowing Python’s syntax?
New competences for new times
Perhaps the competences do not end – they only change.
Generative AI does not replace creativity, but requires a new approach from us and assigns us New roles in the world integrated with AI. Man ceases to be only a creator – he becomes a strategist, a conductor of machine symphonies. New skills appear: curatory, critical thinking, prompt analysis, quality assessment of generated content, creating context and … understanding what really is ours and what is algorithm.
In the future, success will not belong to those who create the best “yourself”, but to those who can combine:
- algorithm with intuition,
- AI technologies with a human vision,
- Natural language processing with empathic communication.
And it’s just a tool – and the choice belongs to us
Generative AI to tool. Powerful, but still only a tool. Its impact depends on that How will we use them.
We can let AI deepening digital division – where only a few have access to the latest models such as Claude 3.5 Sonnet Is the systems from OpenAI and Google. Or … we can use AI as bridge. Tools that democratize access to knowledge, creativity and expression. Just like Zosia from the block – we can give a voice to those who had no chance before.
In a world where generative AI is as common as a calculator once, Our humanity is no longer involved in competing with the machine. It consists in wisely managing her power.
On building teams man -algorithm. On the design of worlds that cannot be generated without empathy. At the story of stories that AI can help create, but cannot fully understand.
Ps. Yes, this text was also generated by AI
Surprise (or not) – this article was also created with help generative AI. But it’s no wonder today. This is (one of many) an example of what happens when Man works with the machine. It’s you – man – you decided what question to ask. It’s you – the reader – you decide what you will do with this knowledge.
And maybe this distinction – between “generate” and “decide” – will be a new measure of creativity in the AI era.
Let it not be a lament over the end of creativity, but a call to its new form. Creativity in dialogue with the machine, not in opposition.
