This has been a crazy year for AI. If you’ve spent enough time online, you’ve probably bumped into images generated by AI tools like Dawn AI, jokes, essays, stories, or other text written by ChatGPT, the latest revival of OpenAI’s large language model GPT-3.
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Sometimes it’s obvious when an AI has created a picture or a piece of text. But increasingly, the output these models generate can easily fool us into thinking a human made it. And large language models, in particular, are confident bullshitters: they create text that sounds correct but may be full of falsehoods.
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I had some exams this month, and honestly, there were some things I needed information for, that Google couldn’t really help me with. I had to use ChatGPT, and the results were mindblowing!
1. ChatGPT – A Powerful AI Tool
Since its release in late November, ChatGPT has been used by more than a million people. It shocked the AI community, and it is clear the internet is increasingly being flooded with AI-generated text. People use it to create jokes, write children’s stories, and craft better emails.
Recently, I discovered that some people were replying to tweets using the ChatGPT AI tool!
What is ChatGPT?
ChatGPT is a natural language processing AI tool powered by AI technology that allows you to have human conversations and more with chatbots. These language models can answer questions and help you with writing emails, essays, and code.
AI-based chatbots aren’t new, but ChatGPT does a rather detailed job than most people are used to.
How is ChatGPT Different from Siri and Google Assistant?
Siri and Google Assistant are powerful support assistants for iPhones and Android Phones, respectively.
ChatGPT is a conversational AI tool. It cannot run on your mobile devices, for example, and it cannot do things like interact with the apps on your Apple device.
However, you can create a Shortcut that’ll request ChatGPT, display the response, and use Siri to trigger the Shortcut.
Can ChatGPT Replace Google?
You might be tempted to think that ChatGPT is competing with google. If you are asking, the short answer is no. And Here’s Why:
ChatGPT was not designed to replace Google directly, but it can offer many advantages over traditional search engines like Google. It’s an AI-driven platform that uses natural language processing and deep learning algorithms to provide highly correct results for your questions.
Unlike Google, ChatGPT doesn’t just give you the most popular search results – it understands the context of your question and gives you an accurate and tailored answer to your needs.
The ChatGPT tool also has a conversation-based interface, so you can ask multiple questions without having to start a new search each time. Plus, the AI tool can learn from user feedback and get smarter over time.
So while ChatGPT isn’t designed to replace Google, it can be an excellent tool for getting answers to your questions very quickly and accurately. Its AI-driven capabilities can be valuable if you are looking for reliable information.
And no, ChatGPT cannot replace programmers either.
There is no reason to fear ChatGPT or any other language model, such as GPT-3. Language models are trained to generate human-like text based on the input they receive, but they cannot think, reason, or make decisions on their own.
They are simply algorithms designed to produce text and do not pose any threat to individuals or society.
2. Dawn AI Tool- Artwork Generator
Dawn is an AI image generator that can generate creative artwork based on what the user inputs as descriptions.
The app is available on Play Store and App Store for iOS. It’s not free, but it has amassed a lot of customers. More than 50% of my contacts on Whatsapp uploaded statuses of beautiful artworks that this app generated for them!
Dawn AI requires a word prompt to have Dawn AI generate wholly unique images with just the push of a button. Give the AI art generator a style or an iconic artist to draw inspiration from, and it will take care of the rest.
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- CopyAI: Best for Copywriting
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- Wordtune: Simple Tool for Paraphrasing
- WriteSonic: Budget-Friendly SEO Writer
- Ink for All: Well-Designed UI with Paraphrasing, AI Writer, and SEO
- Copysmith: Copywriting for eCommerce
- Article Forge: Industry-Specific Writing
- AI Writer: Content Generation Platform
- Closers Copy: Proprietary Copywriting Machine Learning Model
- Frase: SEO Copywriting
- Peppertype: Virtual Content Assistant
- Neural Text: Free Tool for Copywriting
- TextSpark: Best for Novelists
- AdZis: eCommerce Content Generation
Can AI Generated Content Be Detected?
There are many ways researchers have tried to detect AI generated text. One standard method is to use software to analyze different text features—for example, how fluently it reads, how frequently certain words appear, or whether there are punctuation or sentence length patterns.
“If you have enough text, an easy hint is a word ‘the’ occurs too many times,” says Daphne Ippolito, a senior research scientist at Google Brain, the company’s research unit for deep learning.
Because large language models work by predicting the next word in a sentence, they are more likely to use common words like “the,” “it,” or “is” instead of wonky, rare words. This is precisely the kind of text that automated detector systems are good at picking up, Ippolito and a team of researchers at Google found in research they published in 2019.
People sometimes see “clean” text that looks good and contains few mistakes, and conclude that a person must have written it.
In reality, human beings are messy writers. Our text usually contains typos and slang, and looking out for these sorts of mistakes and subtle nuances is an excellent way to identify text written by a human.
In contrast, large language models work by predicting the next word in a sentence, and they are more likely to use common words like “the,” “it,” or “is” instead of wonky, rare words. And while they rarely misspell words, they do get things wrong.
Scott Aaronson, a computer scientist at the University of Texas on secondment as a researcher at OpenAI for a year, meanwhile, has been developing watermarks for longer pieces of text generated by models such as ChatGPT—“an otherwise unnoticeable secret signal in its choices of words, which you can use to prove later that, yes, this came from GPT,” he writes in his blog.
A spokesperson for OpenAI confirmed that the company is working on watermarks and said its policies state that users should use text generated by AI “in a way no one could reasonably miss or misunderstand.”
Many of these detection tools work best when there is a lot of text available; they will be less efficient in some concrete use cases, like chatbots or email assistants, which rely on shorter conversations and provide fewer data to analyze.
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