Generative AI is the hot new buzzword in the current tech world. It refers to AI systems that have the ability to create new content, such as images, text, music, or even videos, based on patterns and data they have been trained on. In this article, we will try to find out more about Generative AI and its potential impact on different fields.
What is generative AI?
Generative AI refers to artificial intelligence systems or deep learning algorithms that can create new content based on patterns and data they have been trained on. They can generate text, audio, images, and even videos. While they can’t yet mimic human creativity perfectly, generative AI has the potential to disrupt industries such as art, design, and entertainment by automating the creative process and providing new tools for innovation. As generative AI continues to advance, it will be interesting to see how it transforms various sectors and challenges traditional notions of creativity.
As for the history of generative AI, surprisingly, it is not something new. Back in the 1960s, early forms of generative AI were already being explored by researchers in the form of chatbots. And more back in the 1950s, the first machine learning was developed by someone named Arthur Samuel who used it for playing checkers and also coined the term “machine learning”. Machine learning is a subset of AI that allows machines to learn from data and improve over time without being explicitly programmed. However, it was not until 2014 when the concept of the generative adversarial network (GAN) was introduced, that we got generative AI to the level we see today, where it can create realistic images, videos, and even music. GANs have revolutionized the field of generative AI by pitting two neural networks against each other to generate new content. Finally, in November 2022, OpenAI launched ChatGPT and the tech world has never been the same anymore.
Some of the best generative AI tools in the market
The first AI tool that comes to mind is obviously ChatGPT by OpenAI. It was the one that took the world by storm with its ability to generate human-like text responses and engage in meaningful conversations. Since then OpenAI has partnered with Microsoft and now we have Microsoft Copilot. There’s DALL-E by OpenAI as well, which is known for its ability to generate images from text descriptions. Below are some of the best Generative tools out there for different categories.
The best AI chatbots
- Microsoft Copilot – the best AI chatbot overall. It does use OpenAI’s GPT model.
- ChatGPT – The original AI chatbot
- Jasper AI – Best chatbot for businesses and marketing. It uses the Open AI’s GPT model.
- Claude AI from Anthrophic – best AI chatbot for summarizing documents.
- Perplexity AI – best AI chatbot for prompt ideation & internet deep dives.
The best AI Image Generators
- MidJourney – Best AI image generator overall
- DALL-E 3 from OpenAI – Best easy-to-use AI image generator
- Stable Diffusion
- Adobe Firefly
The best AI writing generators
- Jasper for businesses & marketing
- Copy.ai for copywriting
- Anyword for assisting you with writing
- Sudowrite for fiction
- Writer for a non-GPT option
The best AI video generators
- Synthesia – best for making digital avatars
- OpenAI Sora – best AI text-to-video generator
- Fliki – combines text-to-video and text-to-speech AI capabilities.
- Deepbrain AI
- Invideo AI
The best AI for coding
- GitHub Copilot
- Codegpt.co
- Codeium
- Mutable.ai
Jobs that are affected by generative AI
There is no doubt that generative AI is a disruptive technology, and it has already affected many jobs and will likely continue to impact various industries in the future. Some of the jobs that have been affected by generative AI include content creation, data entry, customer service, and even some aspects of software development.
When it comes to content creation, I can say from personal experience that generative AI tools have greatly impacted livelihoods. Before the AI boom, I was a regular contributor to popular blog sites in tech-related niches. Additionally, I had my own personal blog site in the niche. It took me anywhere from 1-2 days to write a single article for my sites, as writing meaningful and quality content took time. However, after the AI boom, I found that AI tools were able to generate articles in a matter of minutes, making it difficult for human writers to compete in terms of speed and efficiency. This led to a decrease in demand for human content creators and ultimately affected my income significantly. While Google did crack down on low-quality content generated by AI it was too late by that point.
Moreover, I have seen YouTubers using ChatGPT to create YouTube scripts for their videos and MidJourney to generate images for their YouTube videos. They are basically eliminating the need for a scriptwriter and graphic designer, further impacting the job market for human content creators. Additionally, even MCU’s television series Secret Invasion has sparked controversy for using AI-generated images in its intro.
Overall, the rise of AI content creation tools is reshaping the landscape of the creative industry, posing challenges for traditional content creators to stay competitive in this rapidly evolving digital age. As AI technology continues to advance, it is likely that more industries will be affected by the automation of creative tasks. This shift emphasizes the importance of adaptability and continuous learning for professionals in order to remain relevant in their respective fields. Also, the ethical implications of AI-generated content, such as issues of authenticity and ownership, will need to be carefully considered and addressed by both creators and consumers in the future.