How AI tools will revolutionize the way we work, create, and even live
Individuals and businesses may use a variety of AI content generators for a different purpose.
When ChatGPT, a powerful AI chatroom, was released in November 2022, it gained a lot of attention. The GPT-3 language model (now updating to GPT-4), the underlying technology, has been around for a while. However, ChatGPT made the technology accessible to non-technical people and highlighted all the different ways AI may be used to producing content.
This has raised questions about how technological advancements may affect the nature of work. Because they are concerned about plagiarism and cheating, several schools have banned technology. Legal experts disagree on whether it violates copyright laws and other regulations governing the authenticity of digital content.
AI technology is discussed with a mixture of wonder, fear, and skepticism. However, generative AI will change the way content is made, despite the objections. There was already an open letter signed by many AI and technologies experts that request to pause giant AI experiments such as future ChatGPT 5 (GPT-5 language model)
What really is “AI-generated content”?
The term “AI-generated content” (also known as “Generative AI”) refers to algorithms that can produce new content on demand in any digital format. A lot of data is used to train algorithms. Then, based on the data and a small amount of user input, outputs are produced. The fact that the information is new and generated automatically is key.
ChatGPT is the most popular illustration of a generative AI algorithm. Based on the GPT-3 and GPT-4 language model, ChatGPT offers natural language processing.GPT-3/4 is trained on a large amount of human text from the internet and teaches the language model how to respond when interacting with users.
Other generative AI programs work in a similar way. They are trained to develop a body of knowledge and use that knowledge to create novel outputs.
Many commercial generative AI offerings are currently based on OpenAI’s generative AI tools, such as ChatGPT and Codex.
What are the different types of AI-generated content?
AI-generated content is not just limited to mimicking human writers. AI-generated content also exists in other media, such as:
Despite the many types of content generative AI can create, the algorithms used to create it are often large language models such as GPT-3 and Bidirectional Encoder Representations from Transformers — also known as BERT.
Top AI content generators
There are AI content generator tools in every medium – some paid and some free. Many are based on similar technology and add features to address specific user needs. Below are some of the top content generators organized by content type.
- AI-Writer is an AI writing assistant that helps reword and remediate an existing piece of content, creates unique article drafts, provides citation lists, summarizes SEO competitors, and creates SEO-optimized content from Google.
- Bard is Google’s conversational AI tool. It is experimental in nature and powered by Google’s Language Model for Dialogue Applications. Bard is currently in beta testing and not yet available to the public. It is expected to compete with OpenAI’s ChatGPT. Bard aims to improve the way people search for and retrieve information. One example of a Bard use is asking it for meal ideas based on what food is in the house. Another example is asking it to explain complex scientific concepts in a way a child could understand. ²
- ChatGPT is a machine learning-powered chatbot trained to engage in realistic dialogue. The chatbot can debug code, challenge incorrect premises, and refuse to respond to certain requests. The model produces convincing content but does struggle with factual accuracy. It was trained using reinforcement learning and is informed by previous OpenAI projects such as GPT-3 and Codex.
- ChatSonic is a dialogue-focused content generator from Writesonic built on top of ChatGPT with added features. Users can choose from 16 different personas to chat with, including poets and accountants. Users can also interact with ChatSonic via voice and choose to have ChatSonic respond audibly. ChatSonic is connected to Google’s knowledge graph and includes up-to-date information from the internet.
- Claude is a conversational AI tool by Anthropic, an AI safety and research lab. Claude is currently in beta testing. The assistant will be what Anthropic calls constitutional AI. This means it will provide a principal-based approach to performing chatbot functions and be able to handle adversarial questions. Anthropic was founded by two former OpenAI employees.
- Jasper AI is a long-form AI copywriting tool and article generator that includes more than 50 content generation templates in 25 global languages. Jasper’s user interface is simple to use and lets content creators specify SEO keywords and tone of voice in the prompt.
- Open Assistant is a chat-based large language model for the developer community. Open Assistant developed LAION — large-scale artificial intelligence open network — which is a nonprofit that encourages open public education about machine learning and environmentally friendly use of machine learning resources.
- Perplexity AI refers to itself as an answer engine and is trained on Open AI’s API. It includes many of the same natural language functions that ChatGPT has to offer. A unique feature of Perplexity is that it can provide sources to back up the answers that it has generated. It functions more as a search engine than an original writer, but still generates original content.
- Rytr is an AI content generator that lets content creators specify a content use case, tone of voice and keywords. It also comes with plugins for WordPress.
- Spellbook by Rally is writing software designed to help lawyers with legal drafting. Spellbook can draft new contract clauses, list common negotiation points based on the contract and create contract summaries.
- Wordtune is an AI tool for AI21 Labs that can perform a variety of general language tasks, such as rewriting sentences and citing sources.
- Craiyon, originally called DALL-E mini, was developed by researchers at Google and Hugging Face. It produces a batch of nine AI-generated images in response to a text prompt. The image quality is generally lower than that of Midjourney, Stable Diffusion and DALL-E. The images often appear blurry and unrealistic.
- DALL-E is Open AI’s image generator that creates images and art from a simple text prompt. DALL-E can also make realistic edits to images using captions. It can remove components and change image texture, for example. It can also create several variations of an existing image based on the original. DALL-E uses diffusion, which starts with a random pattern of dots and creates an image from it.
- Midjourney is an image generator hosted on a Discord server. Users can manipulate the generator via Discord bot commands or through a web app. It generates realistic-looking images based on text prompts. Some users have noted that Midjourney output resembles paintings rather than photographs. Users are encouraged to post their creations on designated Twitter and Reddit pages to help train the system.
- Stable Diffusion is Stability AI’s generator that can create photorealistic images from an input text. It can also be used to fill in missing or deteriorated pieces of art and has an easy-to-use in-browser function. Stable Diffusion uses diffusion to create images.
- Amper music is a generator that creates music from prerecorded samples. The software can be used to match music to video, where users can specify the duration of music and where in the music a climax should fall.
- Dadabots is a generative neural network that creates a constant live stream of artificial music in different genres and raw audio neural networks that imitate bands. For example, its infinite bass solo video is a 24/7 stream of emulated bass noises.
- Harmonai is a community-driven, open-source tool that generates novel sounds based on diffusion, a process that takes white noise and manipulates it into audio samples automatically. Harmonai aims to develop open-source audio synthesis and manipulation tools. Harmonai released Dance Diffusion, which has six publicly available music generation models — each trained on different sets of data sets.
- MuseNet is OpenAI’s music generation tool that creates four-minute musical compositions based on its training using MIDI Users can specify style, instruments used and genres. The algorithm will then generate music using learned harmonic, rhythmic and stylistic patterns.
- Soundraw is an AI music generator that can be used to generate royalty-free background music. Users can choose the tempo, mood, genre and theme of the song.
- CodeStarter lets users generate web applications from a description of the project and preferred development framework. CodeStarter supports a variety of frameworks, including React, NextJS and Angular. It is powered by OpenAI’s Codex.
- Codex by OpenAI is a large language model that can generate or manipulate lines of code. It can work in more than a dozen programming languages. It powers other commercial code generators such as GitHub Copilot, which lets users turn natural language prompts into code.
- GitHub Copilot is an AI-powered code generator that generates code from natural language prompts in the code comments. For example, a coder could write “design a website landing page” and it would produce the appropriate code. It is free to use for verified students, teachers and open-source project maintainers. Others can use Copilot with a paid subscription.
- Tabnine is a coding assistant that predicts and generates a programmer’s next lines of code based on syntax. Tabnine makes suggestions based on a coder’s style and programming patterns. It works with a variety of languages including Ruby, Python, Rust and Go.
- Absci is a drug creation company that designs antibodies from scratch using AI. Their Integrated Drug Creation platform designs antibodies without prior training on an existing target. These speeds up the process of drug discovery, enables the design of new drugs and enables personalized medicine. The scientist prompts the model with a target protein and the program generates an antibody in response.
- Creo is a computer-aided design system that uses generative design, enabling expediated design of physical objects. It also optimizes designs based on material and manufacturing requirements.
- PassGAN is a generative password guessing program used by cybersecurity researchers to synthesize and guess high-quality passwords used to break password-based authentication. Users can generate 1 million quality password guesses using the model.
- You.com is an AI-powered search engine with chatbot functions. User’s query You.com, and the search engine returns a summary of search results in a conversational tone. You.com also provides citations for its responses. But it is not limited to text – it also features an image generator and code generator.
In conclusion, generative AI tools such as ChatGPT, GPT-3/4 (soon GPT-5), and other AI content generators are revolutionizing the way we work, create, and live.
These powerful algorithms can produce new content in various formats, from written articles to images, speech, videos, music, and code. Despite some concerns about authenticity and copyright issues, generative AI is being used in fields like academia, law, science, art, manufacturing, digital marketing, software development, and cybersecurity to streamline processes, automate tasks, and enhance creativity.
The landscape of AI-generated content is constantly evolving, with new tools and features being developed to meet specific user needs. From AI writing assistants like AI-Writer and Bard to dialogue-focused content generators like ChatSonic and Claude, there are numerous options available for businesses and individuals to leverage the power of generative AI.
While there may be challenges and ethical considerations associated with the use of AI-generated content, it is clear that this technology is changing the way we approach content creation and opening up new possibilities for innovation and efficiency.
As generative AI continues to advance and become more accessible, it will undoubtedly reshape the way we work, create, and live in the future.
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