Mandatory article on AI, not entirely written by an AI
With ChatGPT taking flight with providing an accessible means of interacting with AI models, the debate on the usefulness of AI generated content is all the craze. AI and generated content isn't new, but the ChatGPT marketing campaign and accessibility have opened possibilities to the masses.
With the purchase by Microsoft, (next to its existing Github Copilot service) the future for AI embedded in our tasks is solidified.
Of course, you could consider the search algorithms the we love and use on a daily basis (or the banner algorithms that we have and see on a daily basis), a successful implementation of systems with seeming intelligent behaviour.
Should we all fear for our jobs?
With the capabilities growing and expanding, seemingly exponentially, are AIs going to take our jobs? (As if that is a bad thing, let's be honest!)
First of all, if anything, the capabilities are more in line with helping out with repetitive tasks, so it's not necessarily a bad thing to let AIs take over that responsibility. AI would just be another tool, with which you can work smarter. The use case of how photographer Antti Karppinen is employing AI image generation is an excellent case study on this!
The same goes for developers. We can use it to automate pesky validations or generating Regular Expression patterns. Or basically anything that would fit in a singular responsibility level.
Will AI build applications at a certain point in time? Maybe, but that future is far ahead of us yet. Humans will have to be involved to make some gatekeeping decisions and assess the quality that an algorithm will deliver. Those can vary wildly!
I can get excited about a future where you can easily scaffold out simple feature rich components, which you can then start to compose more complex applications with. I think that's a wonderful usage of AI as a tool.
On its usefulness in writing articles, you can judge by the example given below, which was generated by ChatGPT. To be fair, the content is critical about itself as well.
Using AI to generate an article about AI
Artificial intelligence (AI) has become increasingly sophisticated in recent years, with the ability to perform tasks once thought to be exclusively the domain of humans. One of these tasks is writing articles, including tech blog posts. AI-generated content has been gaining popularity, as it has the potential to save time and resources for publishers, and provide readers with high-quality content. In this article, we will explore the use of AI to write articles on a tech blog.
What is AI-generated content?
AI-generated content is content that is created using algorithms and machine learning models. These models are trained on vast amounts of data, such as text, images, and videos, to learn the patterns and rules of a particular domain. Once trained, the model can generate new content that is similar to the input data, but not a direct copy.
How is AI used to write tech blog articles?
AI can be used to generate various types of content, including product descriptions, news articles, and even novels. When it comes to tech blog articles, AI can be particularly useful for creating news updates, tutorials, and opinion pieces.
To generate AI-written content, the first step is to feed the model with data. This data could include articles from the same or similar tech blogs, news articles, or technical documents. The model then analyzes the data to identify patterns and structures, such as common phrases, keywords, and sentence structures.
Once the model has learned the patterns, it can generate new content based on a given topic or prompt. For example, if the prompt is "write an article about the latest iPhone release," the model can use the data it has learned to create a new article that includes details about the phone's features, pricing, and release date.
Benefits of using AI to write tech blog articles
One of the main benefits of using AI to write tech blog articles is the potential time and resource savings. Writing high-quality articles takes time, and the process can be resource-intensive, especially for smaller teams. By using AI to generate content, publishers can free up time and resources for other tasks, such as marketing, design, and product development.
Another benefit is the ability to generate a large volume of content quickly. This can be particularly useful for publishers who need to create a high volume of content, such as news sites or blogs with daily updates.
Finally, AI-generated content can be highly optimized for SEO. The algorithms used in AI models can analyze search engine algorithms and identify the most effective ways to optimize content for search engines. This can help publishers to improve their visibility and reach a wider audience.
Limitations of using AI to write tech blog articles
While AI-generated content can be useful for certain types of tech blog articles, there are also limitations to its use. One of the main limitations is the lack of creativity and originality. AI models can generate content based on patterns and rules, but they are not capable of true creativity or original thought. This means that AI-generated content may lack the unique perspective or voice of a human writer.
Another limitation is the potential for errors or inaccuracies. While AI models are highly sophisticated, they can still make mistakes, especially when dealing with technical concepts. This means that it's important for publishers to carefully review and edit AI-generated content to ensure accuracy and clarity.
Conclusion
AI-generated content has the potential to be a useful tool for publishers looking to save time and resources, and to provide readers with high-quality content. When used correctly, AI can generate articles quickly and effectively, and can be highly optimized for SEO. However, it's important to consider the limitations of AI-generated content, such as the lack of creativity and potential for errors. Publishers should carefully evaluate the benefits and limitations of using AI to write tech blog articles, and make an informed decision based on their specific needs and goals.