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Technology based on artificial intelligence is increasingly making life easier. Recently, programs for content creation have been actively developing, and neural networks are already writing texts for people. But, of course, they can only partially replace a writer since AI aims to provide a tool that will save time and resources so that you can free them for other tasks.
But should writers be worried about their future? What are the pros and cons of AI in writing? How do neural networks generate text? So you can find the answers to these and many other questions in this article.
How AI Generates Texts
For an AI-based service to function, developers load a so-called training sample into it. It is a set of texts with specific parameters, which the neural network must take as a basis. Then, it changes its internal configuration to make the final texts as similar as possible to those in the training sample. It is how the neural network learns.
If the sample contains only poems by George Byron, the output will be a text that is very close to the poem. The neural network will even try to repeat the verse size and rhyme. But such a tool can’t produce an expert article in info style on how to write on affiliate marketing.
And therein lies the huge problem. A neural network needs billions of quality texts on various topics to equal the level of a professional author. But that amount of good content does not exist. So, creating an AI tool that would ultimately replace a writer is impossible at the current stage.
Essentially, AI is a black box into which you put specific data and get a result in the format customized by a developer. In this case, you can never guess how the result will correspond to your query. Therefore, by definition, AI can not give a solution with 100% accuracy. By comparison, there is such a thing as algorithms that produce predictable results.
For example, if you add 2+2, you will always get 4. Neural networks are designed so that the result of their work will correspond to your expectations by 30-50-80%. If adding numbers follows the precise rules, the text can be written in a million different ways. Even the same person will not create the same blog post on the same topic if they get two attempts.
Since the user does not know what connections the neural network has kept, they can’t predict what result they will receive. And the more complicated the task, the more difficult it must be for the Artificial Intelligence itself. For example, writing one sentence with a given keyword is a task with minimal complexity; a meaningful paragraph — with medium complexity; providing examples and cases on a particular topic is a task with the highest level of complexity.
Thus, to learn how to deal with the latter, a neural network needs tens of years of training and millions of pieces of content on which it will practice. That is, algorithms have learned to build answers based on the thesaurus of the question’s subject area and standard syntax. However, these are not answers but imitations of them.
So if you want quality paper, using Trust My Paper writing service is much better. Of course, you won’t get the work done in a few seconds, as with ChatGPT, but it will be an expert paper with verified information and excellent syntax without any fluff.
Pros and Cons of AI in Writing
Working with text is not only about putting letters into words and words into sentences. For the text to benefit the reader and the business, it is necessary to analyze the audience and its needs, think through the structure and logic of the article, come up with examples, and comply with Tone-of-Voice. Unfortunately, neural networks cannot yet cope with all these tasks, which leads to the following pros and cons:
|✔️ Generate text on any topic in a few seconds.||❌ Texts are of low quality and need to be corrected.|
|✔️ Analyze a large amount of data.||❌ AI needs to be constantly trained to improve the quality and relevance of the results.|
|✔️ Help create the first draft: a writer can build an article or a post on its basis.||❌ Can make mistakes: factual, grammatical, and punctuation.|
|✔️ Automatic optimization of content for search engines.||❌ Don’t have delicate adjustments. For example, you can’t always set the desired amount of text or keywords.|
|❌ Often, the generated texts do not make sense.|
|❌ There is a lot of repetition throughout the text.|
|❌ AI can be used to produce texts that contain misinformation and fake news.|
|❌ Automated text creation can increase the propensity for plagiarism and copyright infringement.|
Currently, neural networks have more disadvantages than benefits, and their application is limited. So the solid side of AI is the ability to generate content quickly and in almost any volume. But the drawbacks are much more than described even in this table.
Firstly, it takes time to train a neural network. Secondly, AI can’t write texts requiring expert opinions. Thus, neural networks are like an assistant that can quickly explore the entire Internet and pull out information on the desired topic. Of course, it will be a little deep, but it saves time.
Who Wins: AI or Writer
Most experts believe that neural networks will not replace writers in the coming years, and maybe never. AI can be used when you need to generate a lot of unique text quickly, but you may sacrifice quality. But if we speak about context, emotions, humor, and relevancy — only writers can deeply understand the task, distinguish shades of style and produce relevant content in any situation.
Neural networks will gradually replace those who create low-quality and the same type of content (descriptions for product cards). But only writers can solve business tasks with the help of texts as only humans have experience and a sense of humor, which helps to fill the articles with practical cases, analytical comparisons, and appropriate jokes on the topic.
You can see this by using the Best Writers Online writing services review website to take advantage of a professional writer. Then you can give the same test task to some AI-powered apps and make a comparison. Of course, with 100% accuracy, the writer’s work will be much better. After all, neural networks are not yet able to think and generate ideas since they only assemble text from what has already been published on the Internet.
Thus, a skillful writer should perceive AI more as a tool. ChatGPT can already write structured articles that can be used as a draft. With its help, you can find materials much faster, especially regarding voluminous SEO articles. In addition, AI is also suitable for writing urgent short texts (announcements or promotional offers on social networks).
Thus, given the advantages and disadvantages of AI in writing, there will likely be a clear division between writers and neural networks in the coming years. If a writer makes unique content based on experience or creates influential sales texts, they should not fear neural networks but use them effectively to improve the content.
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