The Strange and Unique Ways You Can Use Generative AI

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Generative AI is continuously diversifying the areas in which it is employed. Its utility has grown from answering questions to delivering sermons and ruling fashion runways. In some cases, however, the technology is also being employed for negative uses such as spreading fake news. 

Since the mainstream emergence of artificial intelligence (AI) tools hit the world by storm late last year, the world has not been the same. New tools spring up all the time that use AI to power unique — even strange — experiences, and we are likely just at the beginning of that journey.

In the beginning, generative AI was known for the astonishing responses it gave on ChatGPT, and the chatbot quickly became a favorite across the internet.

With time, however, the technology has advanced at an impressive pace, opening a new world of possibilities. This has also brought about some implementations that are out of the norm and unconventional.

While some of these are useful in the areas they are applied, others may be dangerous, and others may hint at other ways the technology is going to enter our lives.

4 Strange and Unique Ways You Can Use Generative AI

1. Video Language Translator

One of the most fascinating and useful applications of generative AI is its use in video translation. This use case has been implemented by a startup known as HeyGen

Using the GAI video platform, users are able to translate videos into multiple languages without the need for technical knowledge. HeyGen requires users to record a video, at least 30 seconds long, which the Generative AI model translates into different languages. 


These currently include Hindi, English, Spanish, German, Polish, French, Italian, Portuguese, and Spanish.


Additionally, the application automatically syncs the user’s lip motions to make speaking a foreign language appear more natural and fluid. HeyGen is meant to break language barriers and enable more people to understand content made in other languages.

Users are required to pay a monthly fee to access the tool. However, the platform offers a free plan that allows one to generate a maximum of three videos a month.

2. The AI Preacher

In addition to having conversations, chatbots have now been charged with spreading the gospel. In South Korea, Christians can now receive some spiritual guidance from AI chatbots that also have the ability to lead Bible studies and offer prayer. 

This application of Generative AI was received with skepticism in Germany earlier in the year. But in South Korea, pastors have embraced the technology that takes care of the sermons, allowing them more time to take care of the other needs their congregants have. 

One such application is Meadow, which has attracted over 50,000 users since its launch in March. The app is based on OpenAI’s ChatGPT and was initially known as Ask Jesus.

To make it more suitable for the task, ChatGPT was trained on more theological data, providing it with more knowledge and context to answer questions about the Christian faith. 

Of its total users, about 10,000 are Christians based outside Korea, particularly in Muslim countries such as Pakistan. Meadow has offered a chance for them to keep in touch with their faith despite being in areas that limit them. 

3. AI Fashion Designer

Fashion in the world’s big cities is known to be a specialty for the finest in the craft. Only the big designers can get their work showcased on runways in cities such as Paris, New York, and London. 

Generative AI defied all odds and landed itself a runway show in London in March. The virtual runway show was an innovative collaboration between visual effects (VFX) AI artist Atara and the Fashion Innovation Agency (FIA) at the London College of Fashion.

The duo used Midjourney to generate the design concepts that different AI models trained on. Next, using archive video from a real fashion show, they superimposed the recently developed AI models, outfits, and settings.

This resulted in a hyper-realistic runway inspired by the distinctive style of iconic fashion designers such as MiuMiu and Balenciaga. The project showcased the possibilities of AI-assisted generative art and how it can push the boundaries of self-expression and creativity.

4. Composing Adaptive Music

Generative AI composing music is not a new concept. However, this AI composes music that adapts to the location, scenery, and speed at which the driver is driving their Bentley. 

In collaboration with LifeScore, Bentley added an AI model to their cars to compose a soundtrack that matches the driver’s driving style. The music is made to continually adapt to how and where the driver is driving, resulting in music that is highly customized in real time. 

This creates an original composition for each driver each time they are on the road. To create the Generative AI model, LifeScore built an AI sound library using real sounds, such as an artist performing in a studio or sending one of their sound engineers into a forest to record a stream of water. 

The AI then uses these blocks of sound and assembles them to come up with the compositions. From relaxed grand touring to energetic, spirited driving on dynamic roads, the LifeScore AI adapts to create more than 100 billion unique music tracks.

The Bottom Line

The areas in which Generative AI is applied are only bound to continually diversify. While some will be of benefit to the masses, others will be controversial or even harmful to humans.

This underscores the risks involved with continued advancements in AI. It also reiterates the need for regulation, especially with regards to the use cases where the technology is applied.

Although many believe that rules will merely impede technological innovation, their main purpose is to safeguard society and enhance privacy.


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John Isige
Crypto Writer
John Isige
Crypto Writer

John is a crypto expert and tech writer who covers the latest trends and developments in the digital asset and industry. He explores various topics such as data analysis, NFTs, DeFi, CeFi, the metaverse, technology trends like AI and Machine Learning with clarity and insight. He is passionate about informing and engaging his readers with his crypto news and and data backed views on tech trends and emerging technologies. With over half a decade of experience, John has contributed to leading media platforms including FXStreet, Business2Community, CoinGape, Vauld Insights, InsideBitcoins, Cryptonews and ErmoFi and others.