5 Mind-Blowing Examples of AI Portraits – The Artistic Revolution is Here!

With the rise of artificial intelligence (AI), we find ourselves witnessing an exciting fusion between technology and artistry. One such fascinating development is the advent of AI portraits, where machines possess the ability to create stunning and lifelike paintings and photographs.

In this blog post, we will explore the world of AI portraits, delving into the process, implications, and awe-inspiring results that AI art is bringing to the world. Let’s get into it!

What are AI portraits?

Step aside Picasso! AI portraits involve the use of AI portrait generators to create original works of art.

By analyzing vast datasets of existing portraits, AI art generators are trained to understand the nuances of human features, emotions, and artistic styles. This amalgamation of cutting-edge technology and artistic vision has given rise to a new form of expression that is both captivating and thought-provoking.

How do AI portrait generators work?

The process of creating an AI portrait generator typically begins with feeding the algorithm a dataset of carefully curated images.

These images encompass a wide range of styles, from classical paintings to modern photographs, enabling the AI to learn and mimic the techniques and nuances of human artists. The algorithm then analyzes and deconstructs these images, extracting key features such as facial structures, colors, textures, and brush strokes.

Once the training phase is complete, the AI model gains the ability to generate entirely new portraits based on the knowledge it has acquired.

Artists or users can provide input parameters such as mood, style, and composition, allowing the AI to produce a personalized and unique portrait that reflects the desired aesthetic.

What’s up with the AI portrait trend?

Have you noticed there’s a viral AI portrait trend taking over Instagram? There’s an AI app called Lensa, which allows users to create their very own AI selfies!

The AI portrait trend took off at the end of 2022, but since then its popularity has dropped significantly, with many users complaining that it was all too easy to create NSFW images with the app. Consumers are also responding to ethical concerns over stolen images from artists, and both downloads and revenue has progressively tanked this year. It’ll be interesting to see if it picks back up again as the technology continues to evolve!

Examples of AI portraits

Turning a selfie into a classical portrait

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Here we can see that this user has uploaded an image of herself to an AI portrait generator and requested a classical style portrait. As you can see, the results are pretty impressive!

Creating an AI headshot

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Photographers should be aware that they may begin losing work to cheap or free AI portrait generators! Now you can upload an image of yourself and create a professional AI portrait at the touch of a button. Forget about expensive photo shoots to update your website or LinkedIn profile, AI can do it for you.

Turning historical figures into AI portraits

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What about turning a classical painting into an AI work of art? Here we see a painting of Vincent Van Gogh (1889) turned into a modern portrait. I think he looks a little hipster here, don’t you think?

The Statue of Liberty transformed into an AI portrait

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Ok, ok now things are getting a little ridiculous! AI portraits aren’t limited to images of real people. That’s right, you can turn an image of a statue into a beautiful AI portrait too! Here we see the Statue of Liberty transformed into an AI portrait. Scarily accurate if you ask me!

AI family portrait featuring Johnny Depp and Winona Ryder

Just when I thought things couldn’t get weirder, I stumble across some AI family portraits featuring former celebrity couples. Here’s an example of what Johnny and Winona’s family might have looked like if they had of stayed together…is it just me or does the child closest to Winona look a lot like Shiloh Jolie-Pitt?

Anime AI portrait – turn your selfie into a character

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Ever wondered what you might look like as an AI anime portrait? With imgcreator.ai you can find out for yourself! Why not give it a go?

What are AI portrait generators?

AI portrait generators are software or algorithms that utilize artificial intelligence (AI) techniques to create or generate portraits. These generators employ various AI technologies, such as deep learning, computer vision, and generative adversarial networks (GANs), to analyze and understand patterns, features, and styles present in a dataset of human portraits. By learning from this data, AI portrait generators can generate new, realistic-looking portraits that mimic the style, composition, and characteristics of human-created portraits.

AI portrait generators typically take input in the form of photos or text descriptions, and then generate an output portrait based on those specifications. The generated portraits can range from lifelike representations to abstract or stylized interpretations, depending on the desired output.

Check out our roundup of the best AI portrait generators here.

Advantages of AI portraits

Increased accessibility to art

AI portraits offer a groundbreaking advantage in increasing accessibility to art for a broader audience. Traditional art creation and appreciation have often been restricted due to factors like cost, location, or lack of exposure.

However, AI-generated portraits bridge these gaps, making art more inclusive and available to people worldwide. Through AI, individuals can easily create their own personalized portraits, turning anyone into an artist without the need for specialized skills or training.

Democratizing art creation and appreciation

AI portraits democratize the art creation process, empowering people from various backgrounds to express their creativity. AI algorithms enable users to create artworks that resonate with their emotions and personalities, fostering a deeper connection with the art they produce.

This democratization also extends to art appreciation, as AI-generated pieces encompass diverse styles and subject matters, catering to a wider range of tastes and preferences.

Preservation of cultural heritage through AI portraits

AI plays a crucial role in preserving cultural heritage by recreating historical figures and scenes. By analyzing and learning from vast repositories of historical artworks, AI can produce accurate portrayals of iconic personalities from the past.

This preservation ensures that cultural heritage remains alive and accessible to future generations, helping to maintain a strong sense of identity and continuity.

Pushing the Boundaries of Creativity

Exploring new artistic styles and techniques

AI-driven art creation pushes the boundaries of creativity by experimenting with innovative artistic styles and techniques. AI algorithms can simulate the work of famous artists, such as Picasso or Van Gogh, allowing artists to explore new aesthetics and reinterpret classical styles.

This fusion of traditional and modern approaches opens up exciting possibilities for artists to evolve their craft and discover unique artistic voices.

Collaboration between artists and AI

AI portraits encourage collaboration between human artists and artificial intelligence. Artists can leverage AI as a powerful tool to enhance their creative process, generating new ideas, and overcoming creative blocks.

Additionally, AI can act as an assistant in the design and composition stages, saving time and effort. The synergy between human creativity and AI capabilities leads to the birth of extraordinary artworks that showcase the fusion of human emotions and machine intelligence, fostering an exciting and ever-evolving artistic landscape.

Implications for art and artists

AI portraits offer a myriad of possibilities for artists and art enthusiasts alike. For artists, these AI tools can act as powerful assistants, generating initial drafts or inspiring new creative directions. The collaboration between human artists and AI can result in an amalgamation of skill and technology, leading to breathtaking creations that were once unimaginable.

Moreover, AI portraits have democratized art by allowing individuals with limited artistic skills to create stunning visuals. The accessibility of AI portrait generators has empowered countless people to explore their creativity, experiment with different styles, and express themselves through visual mediums.

Critics and challenges

As with any disruptive technology, AI portraits have sparked debates and raised questions within the art community. Some argue that the involvement of AI dilutes the authenticity and emotional depth traditionally associated with human-made art. There are concerns that relying too heavily on AI-generated artwork may diminish the value and uniqueness of human creativity.

Additionally, ethical considerations arise when AI portraits are used to create deceptive or manipulated imagery. The power of AI to generate highly realistic portraits has the potential to blur the line between reality and fiction, raising concerns about consent, privacy, and the potential for misuse.

The future of AI portraits

The future of AI portraits holds immense promise. As AI algorithms continue to improve and evolve, we can expect even more stunning and nuanced artwork. AI can expand its repertoire to include not only portraits but also landscapes, abstract art, and various other artistic styles.

Furthermore, AI portraits can serve as tools for historical and cultural preservation. By analyzing and learning from the works of renowned artists, AI can replicate their techniques and create new pieces inspired by their distinctive style, ensuring the legacy of artistic masters lives on.

What else can we create with AI?

AI portraits, as a form of AI content, are part of a broader spectrum of AI-generated creations and the growing ecosystem of AI generators. Let’s explore how AI portraits are linked to other types of AI-generated content and the role of AI generators in facilitating creative exploration.

1. Text Generation: AI algorithms have been trained to generate human-like text, including stories, poetry, and even news articles. These natural language processing models analyze vast amounts of text data and learn to mimic the style, tone, and structure of written language. Just as AI portraits capture visual aesthetics, AI-generated text delves into the realm of linguistic creativity.
2. Music Generators: AI algorithms are capable of composing original pieces of music, emulating various genres, styles, and instruments. By learning patterns and harmonies from existing musical compositions, AI models generate melodies, chords, and arrangements that are both novel and reminiscent of human-composed music. AI-generated music pushes the boundaries of musical expression, expanding the creative possibilities for musicians and composers. Check out examples of AI music here.
3. Image Generation: Beyond portraits, AI algorithms can generate a wide range of visual content, including landscapes, abstract art, and even entirely new and imaginative scenes. By analyzing and learning from vast datasets of images, AI models create visually stunning and often surreal compositions. These AI-generated images challenge traditional artistic conventions and spark new avenues for artistic exploration.
4. AI Art Generators: AI art generators play a pivotal role in facilitating creative engagement and experimentation with AI-generated content. These tools provide users with intuitive interfaces and customizable parameters to generate unique artworks across various mediums, such as AI paintings, AI drawings, and even AI video generators. Users can explore different styles, colors, and compositions, collaborating with AI to bring their creative visions to life.

As AI technology continues to advance, the interconnectedness of AI-generated content across different mediums will become more evident.

The fusion of AI and creativity opens up new possibilities, challenges conventional artistic norms, and stimulates conversations about the evolving role of technology in shaping human expression and cultural production.

Final thoughts

AI portraits represent a captivating fusion of artistry and technology. They have the potential to inspire and revolutionize the art world, bridging gaps between traditional and contemporary techniques while democratizing artistic expression. As AI continues to evolve, we can anticipate new frontiers in creativity, blurring the lines between human and machine artistry, and expanding the possibilities for artists

Generators act as creative AI tools, empowering individuals with diverse backgrounds and skill sets to interact with AI and create their own AI-generated content. They democratize the creative process, encouraging exploration, experimentation, and collaboration with AI as a creative partner.

The post 5 Mind-Blowing Examples of AI Portraits – The Artistic Revolution is Here! appeared first on Jeffbullas's Blog.

* This article was originally published here

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I Tested My Human Writing Against 5 AI Detectors – My Scores Were Eye-Opening!

It’s no secret that AI text generators like ChatGPT have become the talk of the town lately. People are jumping on board the AI writing train, and in response companies are hustling to develop AI detector tools.

These tools claim they can figure out whether a piece of text was penned by a human or churned out by an AI algorithm. But hey, before we jump to conclusions, let’s ask ourselves: How accurate are these detectors, really?

It turns out that OpenAI recently removed their AI text classifier because it wasn’t quite hitting the mark when it came to accuracy. So, I couldn’t help but wonder: Could other AI detectors be missing the mark too? To find out, I decided to put them to the test myself.

To put these AI tools through their paces, I decided to use an old piece of writing that I wrote myself, and then had ChatGPT whip up another piece entirely from scratch. It was time to pit them against each other and see what these detectors are made of.

So, keep reading to find out whether these tools can really tell the difference between human-written and AI-generated text.

Table of Contents

 [show]

• Best AI detector tools ranked
  • 1. Originality.AI
  • 2. Writer AI Content Detector
  • 3. Winston AI
  • 4. Copyleaks
  • 5. Content at Scale
• Benefits of AI detector
  • Enhanced accuracy
  • Efficiency and speed
  • Scalability
  • Automation and reduction of human effort
  • Versatility
• Challenges and limitations of AI detector
  • Data limitations
  • Interpretability and explainability
  • Adversarial attacks
  • Ethical considerations
  • Continuous learning and adaptation
  • Dependence on technical infrastructure
• Ethical considerations and potential biases
  • Fairness and bias
  • Privacy and data security
  • Accountability and responsibility
  • Human-AI collaboration
  • Transparency and explainability
• Wrapping it up

What is an AI detector?

Before we jump into the tools, what is an AI detector anyway?

An AI detector is a software or system that utilizes machine learning algorithms. Its primary purpose is to automatically detect and classify content that has been generated by artificial intelligence.

These specialized detectors are recent developments that have been made to address the increasing prevalence of AI-generators, which can range from essays to images, videos, or even music. By leveraging machine learning techniques, the AI detector analyzes various attributes, patterns, and markers specific to AI-generated content.

5 AI detector tools put to the test

Here are the AI detectors I’ve tested so far in 2023.

1. Originality.AI

First up on our list is originality.ai. This AI detector is probably the most popular tool at the moment, and certainly I’ve seen ads everywhere for it. Looking on their website, that claim that they have 99% AI content detection accuracy.

In order to test Originality.ai, I have to sign up for an account and hand over my credit card details. I’m then given 50 credits to use for free. It’s worth noting that this detector can only scan content written in English at this stage.

I start by copy and pasting a 500 word article I wrote a few years ago. Originality.ai gives me a score of 96% human generated, and 4% AI generated. Not awful, but not entirely accurate either as the article was 100% human generated.

Next I try a ChatGPT article of around the same length. Originality.ai correctly identifies that the writing was 100% AI written. So all in all, this tool is pretty accurate in my opinion!

originality.ai Features

1. Comprehensive NLP Model Support: The AI content detector and plagiarism checker tool accommodate a wide range of NLP models, ensuring compatibility and effectiveness across various frameworks.
2. Team Collaboration: The tool allows multiple team members to collaborate, enabling seamless sharing of insights and efficient content analysis.
3. Future Enhancement: The development team is actively working on introducing a full site scan feature, enhancing the tool’s capabilities to scan entire websites for AI-generated content and potential plagiarism.
4. APIs and Integrations: The tool provides APIs and integration options, facilitating easy incorporation into existing workflows and systems.
5. Cost-Effectiveness: This tool offers an affordable solution without compromising on its robust features and functionalities. It provides excellent value for the investment, catering to diverse budget requirements.

2. Writer AI Content Detector

Moving on to the Writer AI Content Detector. Immediately, I like how this platform allows you to just copy and paste your text right away. No mucking around with sign-up forms or handing over credit card details!

This time, I test the AI content first. As I copy and paste my text in, I realise that 500 words is way over the character limit. That’s a bugger. I have to chop the text right down to 2 paragraphs or approximately 150 words. Not efficient if there’s a lot of text you want to check. Nevertheless, let’s see how the detector does. I hit analyse and…100% human generated! Wowsers. So not accurate at all.

Let’s see how it does with my human generated content. Again, I’m awarded a score of 100%, which is correct. However seeing as I also got 100% for AI content, I probably wouldn’t be inclined to trust this particular tool.

Writer Features

1. Specialized AI Detector: Writer provides a dedicated AI detector that enables users to identify and flag AI-generated content, ensuring the authenticity and originality of their writing.
2. Reporting Tools for Writing Insights: The platform offers reporting tools that provide valuable insights into writing patterns, trends, and metrics. These insights help users analyze their writing style and make informed decisions to enhance their content.
3. Styleguide Implementation: Writer includes a styleguide feature that allows users to implement and enforce editorial rules and guidelines. This ensures consistency and adherence to specific writing standards across various content pieces.
4. Content Strategy Automation: Writer facilitates content strategy automation by streamlining and optimizing various aspects of the content creation process. This includes content planning, ideation, optimization, and distribution, empowering users to create impactful content more efficiently.
5. CoWrite Tool: The CoWrite tool within Writer enables users to train the AI specifically for content generation based on their unique requirements. This personalized training helps align the AI-generated content with the desired tone, style, and voice, providing tailored assistance in content creation.

3. Winston AI

Another popular AI detector is Winston. Once again, I have to create a free account in order to use the tool, though I appreciate that I don’t need to hand over any credit card details at this stage. I’m given a number of credits to use, more than enough for the purpose of this article.

Winston also automatically gives you a free 7 day trial, after which you’ll need to upgrade in order to keep using the tool, even if you still have free credits left. Plans start from $12/month which will allow you to scan 80,000 words each month for both AI and plagiarism checking.

This time I start with my human generated content. I like that I can test the full 500 word article this time. The score they give me is 75% human generated, while 25% is likely AI. Interesting. Looking at the results, they’ve highlighted the sections they believe to be likely generated by AI, I don’t agree with the assessment, but there you go.

Next, onto the AI generated content. Winston accurately detects that the text was written by AI, giving me a measly score of 1% human generated. Overall, I don’t think Winston is as accurate as it claims to be, and Originality seems a more capable tool at this stage.

Winston Features

1. ChatGPT Compatibility: The tool seamlessly works with ChatGPT, including the latest GPT-4 model, enabling accurate detection of AI-generated text from these advanced language models.
2. Sentence Highlighting: Winston AI’s advanced capabilities include the ability to highlight sentences that are likely to have been generated by AI. This feature provides users with a clear visual representation of AI-generated content within their text.
3. Handling Large Documents: Winston AI has the capacity to efficiently scan and analyze extensive documents, including books. It can process and assess content in various formats, allowing users to upload complete files in .word, .pdf, and even scanned documents.
4. Plagiarism Detection: In addition to AI detection, Winston AI offers plagiarism detection capabilities, helping users identify potential instances of copied content and providing sources for proper attribution.
5. Free Readability Score: Winston AI goes beyond AI detection and plagiarism checks by providing users with a free readability score. This feature assesses the readability and comprehension level of the text, offering valuable insights for content improvement.

4. Copyleaks

Alrighty, let’s check out Copyleaks’ AI content detector next. Again, I don’t need to sign up which I appreciate. I can simply copy and paste my text straight into the tool.

I start with my human generated content. This time I’m not given a score. Instead, Copyleaks simply tells me that my text is human generated text. While this is accurate, I kinda liked seeing what my score was and which sentences the detector thought might be AI generated. Oh well, never mind.

Let’s see how the AI generated text does. This time, I see the bulk of my article highlighted in red. The detector has accurately detected that my text was machine generated. Though interestingly it thinks my first paragraph is at least 40% human.

Copyleaks Features

1. AI-Powered Features: Copyleaks harnesses the power of AI to deliver its functionality, ensuring accurate and efficient detection capabilities.
2. Comprehensive NLP Model Coverage: The tool covers all major NLP models, including the advanced GPT3.5 model. This broad coverage enables users to detect AI-generated content effectively.
3. APIs for Scalable AI Content Detection: Copyleaks provides APIs that facilitate large-scale AI content detection, allowing seamless integration into existing systems and workflows.
4. Chrome Extension Support: The tool offers a convenient Chrome extension, making it easily accessible for users while browsing the web. This extension enhances the user experience and enables on-the-go content detection.
5. Robust Plagiarism Checker: Copyleaks features a powerful plagiarism checker that thoroughly scans content to identify instances of copied or unoriginal text, ensuring content integrity.
6. Source Code Checking: In addition to text-based content, Copyleaks includes source code checking functionality, enabling users to detect similarities or plagiarism in code snippets and programming files.
7. LMS Integration: Copyleaks facilitates integration with Learning Management Systems (LMS), allowing educational institutions and e-learning platforms to seamlessly incorporate content detection capabilities into their systems.

5. Content at Scale

The final tool I’m testing today is Content at Scale. This free AI detector claims to be 85% accurate (a little more modest than other AI detectors mentioned in this article).

This time I start with my AI article. The detector gives me a score of 31% human written. Not an awful assessment, but not entirely accurate either. Unfortunately none of the sentences are highlighted so I can’t tell which parts are assumed to be AI and which parts could be human.

Next I plug in my human generated article. I receive a perfect 100% score! The detector accurately confirms that the text was written by flesh and bones. Excellent.

Content at Scale Features

1. On-Demand API Access: The API is readily available upon request, allowing users to integrate the software seamlessly into their existing systems and workflows.
2. Extensive Language Support: The software provides support for multiple languages, enabling users to analyze text in various linguistic contexts.
3. Free Software Usage: Users can utilize the software free of charge, making it accessible to a wide range of individuals and organizations.
4. High Reliability and Accuracy: The software consistently delivers reliable and accurate results, ensuring users can depend on its output for their text analysis needs.

Benefits of using an AI detector

Enhanced accuracy

AI detectors can provide higher accuracy and precision in detecting various patterns, anomalies, or specific objects compared to traditional methods.

Efficiency and speed

AI detectors can process large amounts of data quickly, enabling real-time or near-real-time detection and response, which is particularly beneficial in time-sensitive applications.

Scalability

AI detectors can be scaled to handle increasing data volumes without significant performance loss, making them adaptable to changing needs and data sizes.

Automation and reduction of human effort

AI detectors automate the detection process, reducing the burden on human operators and allowing them to focus on more complex tasks.

Versatility

AI detectors can be applied to various domains and industries, such as cybersecurity, healthcare, finance, transportation, and more, making them versatile tools for different applications.

Challenges and limitations of AI detectors

Data limitations

AI detectors heavily rely on the quality and quantity of training data. Insufficient or biased data can lead to inaccurate or biased detections.

Interpretability and explainability

AI detectors, especially those based on complex algorithms like deep learning, often lack transparency, making understanding the reasoning behind their decisions challenging. This can be a concern in sensitive domains where explanations are required.

Adversarial attacks

AI detectors can be vulnerable to adversarial attacks, where malicious actors intentionally manipulate inputs to deceive the detector, leading to false negatives or false positives.

Ethical considerations

AI detectors may raise ethical concerns, such as invasion of privacy, discrimination, or unintended consequences. It is essential to design and deploy AI detectors with ethical principles carefully. Read more about the ethical considerations and potential biases here.

Continuous learning and adaptation

AI detectors may face challenges adapting to new or evolving patterns, requiring regular updates and continuous monitoring to maintain effectiveness.

Dependence on technical infrastructure

AI detectors require robust technical infrastructure, including computational resources and reliable data connectivity. Inadequate infrastructure can hinder their deployment and performance.

Ethical considerations and potential biases

Privacy and data security

AI detectors often handle sensitive data, raising concerns about privacy breaches or unauthorized access. Implementing proper security measures and data anonymization techniques is crucial.

Accountability and responsibility

As AI detectors make autonomous decisions, questions arise about accountability and responsibility. Clear guidelines and regulations must be established to address these concerns and appropriately allocate responsibility.

Human-AI collaboration

Balancing the roles of AI detectors and human operators is essential to avoid overreliance on automated systems and to ensure human oversight and intervention when necessary.

Transparency and explainability

Enhancing the interpretability of AI detectors, providing explanations for their decisions, and enabling human understanding is crucial for building trust and accountability.

Frequently asked questions

Are AI detectors accurate?

AI detectors can be highly accurate, but it depends on various factors such as the quality of the data used for training, the algorithm used, and the specific task the detector is designed for. AI detectors are typically trained using large datasets that include both positive and negative examples of the target object or behavior. The model learns patterns and features from these examples to make predictions on new data.

However, it’s important to note that AI detectors are not infallible. They can still make mistakes or produce false positives/negatives, especially in complex and nuanced situations.

Should I use an AI detector?

Whether or not you should use an AI detector depends on your specific needs, context, and considerations.

Determine if the task you need assistance with aligns with the capabilities of the AI detector. AI detectors are usually used for text analysis. Assess whether the detector can effectively address your requirements.

Evaluate the accuracy and reliability of the AI detector for your specific use case. Research and test the performance of the detector on relevant datasets or scenarios. Consider factors that might affect its accuracy, such as variations in input data or potential biases.

Which is the best AI detector?

Originality.AI stands out as a top-notch AI content detector that offers exceptional ease of use and remarkable accuracy. This powerful tool is specifically designed to scan text for instances of plagiarism, AI-generated content, and various manifestations of unoriginality. Whether you are a student, teacher, or business professional seeking to safeguard the authenticity of your content, Originality.AI proves to be an excellent choice.

Wrapping it up

In conclusion, AI detectors are becoming increasingly popular as AI technology becomes more integrated into our daily lives.

With the help of machine learning algorithms, AI detectors can analyze data and identify patterns or behaviors that are indicative of AI, but they aren’t always accurate. It’s best to use your own judgment and discernment when checking content to see if it is AI generated.

The post I Tested My Human Writing Against 5 AI Detectors – My Scores Were Eye-Opening! appeared first on Jeffbullas's Blog.

* This article was originally published here

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I’m a Professional Copywriter and Editor. Is AI Going to Replace Me?

Last year I had a content writing gig with a marketing agency. It was my job to churn out 15-20 articles each month for the agency’s clients. 

This agency relationship made up around 30% of my monthly income. I charged a fixed price per article, so no matter how long it took me to create, I was still paid the same amount. 

December 2022 rolls around and I receive a message from the agency, ‘Hey have you heard of this thing called ChatGPT?’ 

I hadn’t. 

‘Oh is it one of those AI writing things?’ I replied. ‘Yes!’ he said, ‘It’s amazing! I want to switch you to an hourly rate. With this you’ll be able to pump out 10 articles an hour!’ 

Ha, I thought to myself. Unlikely. 

Now don’t get me wrong, I’m a fan of anything that makes life quicker and easier – especially when it comes to work. 

But I’d already tried platforms like Jasper and Copy.AI. And to be honest, I thought they were rubbish. 

There was no way I could send what the AI produced to my clients. 

Incorrect information, gibberish sentences, absolutely no personality in the tone…I figured AI wasn’t anything to be worried about for the foreseeable future.

Or so I thought.  

‘Look you really need to try it…I’m telling you it’s amazing,’ the agency pressed. 

‘Alright I’ll give it a go,’ I replied. 

Well, shit 

After creating a free account, I gave the machine it’s first prompt. Write 500 words on marketing strategies for e-commerce brands. 

Damn, I thought to myself as I watched ChatGPT create well-articulated sentences in a matter of seconds. 

It was unsettling, to say the least.

I went back to my client. ‘Okay, you’ve got me here, this platform is pretty dang good.’ 

What followed was best described as a mini-existential crisis. I couldn’t sleep. All I could think about was whether this was going to spell the end of my career as a copywriter. 

I also happened to be in the middle of writing my first book, a step-by-step business guide for aspiring copywriters.  

Suddenly I wasn’t sure of the project at all. Was everything I had written now redundant? Am I giving out bad advice by publishing this? Should I cancel this project all together? 

I decided to put it on pause while I figured out how much of an impact AI was going to have on my business. 

Seven months in – how has ChatGPT affected my copywriting business? 

While I have parted ways with the client mentioned earlier in this article (for non-AI related reasons), I won’t sugarcoat things and say I haven’t lost work because of ChatGPT. 

The fact is, I have. 

And while no-one has openly come out and said ‘Hey Rach, thanks for your service but we’re going with the machine…’ I’m 97% certain that is the case. These were long-term clients that were always very happy with my work. 

Thankfully, those losses haven’t had much of an impact on my cash flow. Because, while some clients have stopped giving me work, others have started giving me double.

But I know that’s not the case for other copywriters. I’ve seen many voices online saying how quiet the market is right now. How they’re struggling to find work. Some are wondering if they should just throw in the towel and pivot into something else. 

Because this tech is still so new, my feeling is that many businesses are having a crack with tools like ChatGPT right now. I mean what business doesn’t want to have bigger profit margins? 

We’re in a massive exploration phase right now. Everything is up in the air, and the dust is yet to settle. 

I don’t have a crystal ball, but my feeling is that things will pick up again for copywriters. As business owners begin to realise that what ChatGPT is producing sounds and looks like everyone else, people are going to get hungry for real voices again. 

It’s not all doom and gloom

You know how once you’ve seen something, you can’t unsee it? 

That’s what’s happening with AI. There’s no use sticking your head in the sand and pretending it’s not here to stay. 

But I believe AI tools like ChatGPT are going to become our collaborators – not our replacements. 

We can now produce high-quality work in half the time we used to. We no longer have to spend hours looking for credible sources of information for educational style content. 

So if you’re a copywriter and you haven’t embraced AI yet, now’s the time to do so. Hitch yourself to the bandwagon or get left behind. And I don’t mean that glibly. 

Our role is shifting – instead of starting with a blank page every day, we’re going to be editing what AI produces. We still need to understand the target market of our clients, their pain points and desires, we still need to know what elements should go into certain pieces of copy. 

We need to think of programs like ChatGPT as our junior copywriters. We need to guide it, tell it where it’s going wrong, where it’s missing the mark. 

The good news is, your average client doesn’t know the fundamentals of copywriting, or how to generate good results with AI. Our services will still be required. 

A new era is beginning

As we begin to navigate the sea of change brought on by AI, it’s time to stop looking at it with fear and instead start using it as tool to enhance our creative capabilities. 

Our role as writer is unlikely to ever become obsolete, but it certainly will be redefined. 

Our understanding of the nuances of language, the intricacies of human psychology, and the art of crafting compelling narratives remains irreplaceable. 

Instead of beginning with a blank canvas, we now step into the role of editors, guiding AI to better align with the unique voice and vision of our clients.

Guest Author: Rachael J. Low is a freelance copywriter and editor who works with a number of marketing agencies producing high-quality copywriting for their clients. You can find out more about her services at https://www.rachaeljlow.com

The post I’m a Professional Copywriter and Editor. Is AI Going to Replace Me?  appeared first on Jeffbullas's Blog.

* This article was originally published here

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The Secrets Behind Viral Content Exposed

One of the first viral content pieces that caught the public’s attention in the digital and social media era was a video created on YouTube in 2010, “Charlie Bit My Finger”, which received 6.9 million views. But that was nothing by today’s standards.

One of the most recent viral (and strange) sensations on YouTube is MrBeast. In 2023 he has 169 million subscribers and 44 billion views from a YouTube video that took him 40 hours to create with the title “I counted to 100,000”.

Why viral content matters

Getting traffic and attention online can create wealth, attention and fame. Fast. 

MrBeast at the age of 24 has an estimated net worth of over $100 million. He has perfected the art of trialing and testing different content to see what goes viral on Youtube. His first breakthrough video was a mind numbing 24 hour video!

What is interesting about his story is the traffic tactic that he used to break through and get the attention that has made him one of the most famous YouTubers on the planet!

According to Wikipedia “In January 2017, Donaldson published an almost day-long video of himself counting to 100,000, which became his breakthrough viral video. The ordeal took him 40 hours, with some parts sped up to “keep it under 24 hours.”

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My first reaction to that is “WTF!!” But maybe I don’t have the spare time that some people have to watch YouTube and consume social media. 

Since then he has continued to experiment and test different creative ways of cracking the viral content code that works for him. These include expensive stunts, challenges and donations.  

But you will need to apply the formula of tenacity, passion and persistence. 

What is a viral headline? 

Simply: It’s the headline that makes a piece of content stand out, get shared and go viral (or not). And that can be an article, a video or an image. 

Creating headlines (and content) that goes viral is more art than science. There are copywriting tactics and principles but there’s no magic bullet!

How do you write a viral headline?

There are some basic templates for writing a viral  headline that work, and here are a few to get you started:

A. Template 1: “X [Benefit] You Won’t Believe [Unique Twist/Revelation]”

B. Template 2: “The Ultimate Guide to [Topic]: [Number] Proven [Benefits/Strategies]”

C. Template 3: “Are You [Desirable Outcome]? [Surprising Solution] Inside!”

D. Template 4: “[Number] [Benefit] for [Specific Audience]: The Complete [Guide/Tips]”

E. Template 5: “[Controversial Statement]: Why It’s [True/False]”

Going deeper

Going viral became an obsession for many of the original content creators and founders. Content was created to chase clicks and views. Often it was controversial. 

Sometimes content creators attacked famous personalities or used private sex tapes. One outcome of this was the bankrupting of Gawker Media.  

“Gawker Media went bankrupt in 2016 after a $140 million legal judgment against it in an invasion-of-privacy case brought by the former wrestler Hulk Hogan. Gawker.com had published a black-and-white sex tape of Mr. Hogan, whose real name is Terry G. Bollea; a Florida jury awarded damages to the wrestler after a two-week trial” – New York Times.

The traffic chasing media companies played at the edge of the law and sometimes they crossed it and paid the price. 

The rapid rise of social media and the smartphone (its traffic boosting sidekick) was the magic that allowed everyone to read, create and publish content from anywhere.

The key elements for creating viral content

In the dynamic and fast-paced realm of the internet, the pursuit of viral content creation has become an obsession. Seeking attention is addictive. 

But there is no singular formula for virality. Instead, it is a fascinating blend of art and science, where creativity meets data, and innovation meets audience needs.

As content creators, marketers, and digital enthusiasts, we must embrace experimentation and continuous learning. The road to virality is often paved with both successes and failures, and each experience presents an opportunity to refine our approach and better connect with our audiences.

Common traits of viral content

Viral content isn’t just a matter of luck; it follows a pattern that resonates with human psychology. Among the common traits shared by viral content are:

• Emotional appeal 
• Unexpected twists 
• High-quality visuals 
• Relevance
• Storytelling prowess
• Humour, inspiration and empathy

When these elements come together in harmony, they create a powerful concoction that compels people to hit that “share” button.

Emotional appeal and relatability

At the heart of every piece of viral content lies the ability to evoke emotions and connect with its audience on a personal level. Whether it’s joy, nostalgia, or empathy, content that tugs at heartstrings or sparks a strong reaction is more likely to be shared.

People want to feel a connection with what they see and read, and emotional content provides that bridge between creator and viewer.

Unexpected twists or surprises

Human beings are wired to seek novelty and the unexpected. Viral content often thrives on surprising its audience, whether through plot twists in a video, a clever punchline in a meme, or an unforeseen turn of events in a story.

When content deviates from the predictable, it creates an element of intrigue that makes people eager to share the surprise with others.

High-quality and visually appealing media

In an era where attention spans are shrinking, high-quality and visually stimulating content is key to capturing an audience. Striking images, professional video production, and engaging graphics draw viewers in and hold their attention.

Investing time and effort in the visual presentation of content pays dividends when it comes to its potential to go viral.

Relevance and timeliness

Viral content often taps into current events, trends, or issues that are of particular interest to a broad audience. Staying relevant and timely allows content creators to ride the wave of existing discussions and conversations.

Content that addresses burning questions or aligns with what is currently happening in the world has a higher chance of being shared and discussed.

The role of storytelling in viral content

Storytelling is an age-old art that continues to wield immense power in the digital age. The best viral content weaves narratives that captivate the audience, guiding them on a journey of emotions and experiences.

Stories are memorable, shareable, and create a lasting impact on the minds of the audience. Whether it’s a heartwarming tale of triumph or a suspenseful adventure, storytelling is the backbone of viral content.

Leveraging humor, inspiration, and empathy for viral success

Humor is a universal language that knows no borders. Clever jokes, witty one-liners, and amusing situations bring joy and laughter, making content highly shareable. On the other hand, inspirational content uplifts and motivates viewers, encouraging them to aspire and reach for their dreams.

Empathetic content, which addresses the struggles and challenges of the audience, fosters a sense of belonging and solidarity, encouraging individuals to share their experiences with others.

The history of viral content

In his book “Traffic”, Ben Smith goes behind the scenes of what were the most viral content platforms in the last 10-15 years. 

These include Huffington Post, Buzzfeed, and Gawker Media. The book is an important insight into the obsession of chasing attention online with viral content at any cost.

But there were quite a few others. So here is a quick overview of the history of viral content that was driven by the art of viral Headlines and an addiction for attention.

Brief history

The history of viral content can be traced back to the early days of the internet, but it gained significant momentum with the rise of social media platforms. Here’s a brief overview of the history of viral content and some websites that capitalized on the rise of social media:

Early Internet Virality (1990’s-2000’s)

In the early days of the internet, viral content primarily spread through email forwarding and instant messaging. Memes, funny videos, and chain emails were some of the earliest forms of content that went viral.

Emergence of Social Media (mid-2000s)

Social media platforms like Facebook, YouTube, and Twitter began gaining popularity in the mid-2000s. These platforms provided new ways for content to reach a broader audience through sharing and engagement.

Facebook (founded in 2004)

Facebook’s news feed and sharing capabilities turned it into a powerful platform for viral content. Memes, viral challenges, and emotional stories found massive success on Facebook, reaching millions of users within a short time.

YouTube (founded in 2005)

YouTube played a pivotal role in the spread of viral videos. Its ease of sharing and embedding allowed videos to reach a global audience rapidly. Memorable videos like “Charlie Bit My Finger” and “Evolution of Dance” became early viral sensations on the platform.

Twitter (founded in 2006)

Twitter’s fast-paced nature and retweeting mechanism made it conducive to the spread of viral content, especially breaking news and real-time events.

Reddit (founded in 2005)

Reddit’s community-driven approach contributed to the spread of viral content. Its “subreddits” allowed niche topics to gain traction, and interesting content often reached the front page.

BuzzFeed (founded in 2006)

BuzzFeed mastered the art of creating shareable content. Its listicles, quizzes, and entertaining articles consistently went viral, attracting millions of visitors and reshaping digital media.

Instagram (launched in 2010)

Instagram’s visual nature and stories feature enabled the quick dissemination of viral images, videos, and trends.

Upworthy (founded in 2012)

Upworthy focused on producing emotionally impactful content. Its curated stories with powerful headlines and social justice themes went viral, prompting widespread sharing and engagement.

TikTok (launched in 2016)

TikTok’s short-form video format and algorithm-driven content discovery led to the rapid rise of viral challenges, dances, and comedic clips shared by users globally.

These are just a few examples of websites that capitalized on the rise of social media to facilitate the spread of viral content. The internet’s interconnectedness and the ease of sharing on social platforms have transformed the way content becomes viral, turning ordinary individuals into online sensations overnight.

What is the dollar value of going viral?

How do you put a price on going viral?

The Holy Grail of media companies especially after the rise of its biggest enabler and amplifier was to get a ton of traffic for free from viral headlines and viral types of content. 

So as a rough guide and metric here are the reported capital values of the companies and platforms that supercharged virality. 

Huffington Post: In 2011, AOL acquired The Huffington Post for $315 million. This was the first significant sale of what really was a “super blog”

Buzzfeed: In 2021, when it floated on the stock exchange it briefly was valued at $1.5 billion. However, as the social media algorithm’s have made it harder to go viral in 2023 it is valued at around $86 million according to CNBC.com.

Gawker: In 2016, after filing for bankruptcy, Gawker was sold for $135 million to Univision Communications, which later shut down Gawker.com.

Reddit: In February 2021, Reddit was valued at $6 billion after a successful funding round.

TikTok: Tik Tok is currently valued around $80 billion in 2023

The two pillars (and platforms) required to go viral

Essentially, there are two elements required to make content go viral. This has been the formula right from the start. 

• The Platforms – Social media and YouTube. This is your distribution. Before social media “viral” referred to a disease more so than a piece of content.
• The Content Producers – The media companies and often a mass media star (or influencer) with 10s of millions of followers. The content needs to have a bit of luck mixed with the science of applied human psychology.

The formula today is still the same as a decade ago but the platforms have changed.

In 2013 the big-player platforms were Twitter and Facebook. But in 2023 interest has shifted to Instagram and TikTok. 

A 3 step viral content strategy worth testing 

One cool strategy that will give you the best chance of “going viral” is this simple 3 step process by Rand Fishkin. He outlines it further in his post – “Hook, Line, and Sinker: A Model for Crafting Successful, Viral Content”

Viral content framework summary

1. The Hook – The first thing you need to do is get attention. Often you can achieve that with a headlines that offers a big promise or maybe something controversial.
2. Line – Deliver on the promise the headline provided in your piece of content. It should trigger an emotional response that provides a memorable association.
3. Sinker – Make your content sticky and shareable.  

Wrapping it up

Creating viral content is an art form that combines creativity, psychology, and strategic thinking. By incorporating emotional appeal, surprise elements, visual appeal, relevance, and masterful storytelling, content creators can enhance the likelihood of their creations going viral. 

Also leveraging humor, inspiration, and empathy ensures a deep connection with the audience, forging an enduring relationship that extends beyond a mere share.

However, it is essential to remember that virality isn’t guaranteed. The digital landscape is unpredictable, and what goes viral today may not do so tomorrow.

Nevertheless, by embracing these key elements and consistently striving to produce engaging and shareable content, creators can increase their chances of leaving an indelible mark on the vast canvas of the internet.

Resources and books

Recommended books and resources for creating viral content:

“Traffic: Genius, Rivalry, and Delusion in the Billion-Dollar Race to Go Viral” – Ben Smith

“Contagious: Why Things Catch On” by Jonah Berger

“Viral Marketing: The Science of Sharing” by Karen Nelson-Field

“Words That Sell: More than 6,000 Entries to Help You Promote Your Products, Services, and Ideas” by Richard Bayan

The post The Secrets Behind Viral Content Exposed appeared first on Jeffbullas's Blog.

* This article was originally published here

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