ChatGPT is a natural language chatbot most recently released by OpenAI, and it has officially gone viral.
Major news platforms spanning The New York Times, CNN, Forbes, Forrester (and, yes, even me in early December) have been exhausting the topic due to its outstanding popularity.
You may not know that GPT-3 technology has already been available and commercialized in products like Jasper and Grammarly via API for close to a year.
The latest release, however, was made available and free as a “research preview.”
Previously only accessible to those who could connect an API (not most of us), you can now open up the ChatGPT bot on your browser and use it for free.
That is if the site hasn’t crashed -I’ve had my own issues logging in.
A few of the headlines making waves in 2023
If you’re still catching up, here’s what major new outlets are reporting:
ChatGBT Shows Scary Implications Of AI: Sports Owners And The Robot (Forbes)
Microsoft Bets Big on the Creator of ChatGPT in Race to Dominate A.I. (The New York Times)
How good is ChatGPT?- and can it be detected? (CNN)
ChatGPT, Midjourney helped a man write a children’s book in 72 hours, He wasn’t prepared for the backlash (Business Insider)
Generative AI, Like ChatGPT, Won’t Destroy Creativity. It’ll Save It. (Forbes)
All things considered, let’s agree that it’s something we should probably pay attention to, right?
OpenAI, ChatGPT, GPT-3 (and other buzzwords)
OpenAI is a San Francisco-based startup backed by Microsoft, which made the $1 billion bet in the future of AI in 2019 and was most recently valued at a staggering $29 billion.
The service hit 1 million subscribers in early December at a record rate, having only been released on November 30th-surpassing tech giants that took years to achieve the same feat.
What’s more, ChatGPT has opened the door to a new kind of AI technology that is intuitive, powerful, and apparently triggering people.
Initially, after receiving positive feedback from his AI-generated children’s book, Reshi, quoted in Business Insider, described an overwhelming turn of events:
“There was this incredibly passionate response… at 4 a.m. I was getting woken up by my phone blowing up every two minutes with a new tweet saying things like, ‘You’re scum’ and ‘We hate you.'”
Reshi, quoted in Business Insider regarding his AI-created Alice and Sparkle
The internet is predicting (really, debating) how this technology will impact the future of natural language processing (NLP) and how it may impact the major tech platform, Microsoft, in its rival against Google with the help of OpenAI.
New technology has historically driven backlash, explained by ChatGPT
I asked, “What are some examples of inventions that initially received backlash? AI technology is not being accepted by some at the moment.”
ChatGPT very concisely answered:
There have been several inventions throughout history that have initially received backlash before ultimately being accepted and widely adopted. Here are a few examples:
- The telephone: When Alexander Graham Bell first demonstrated his invention of the telephone in 1876, many people were skeptical of its usefulness and potential impact on society. However, it eventually became a ubiquitous and essential tool for communication.
- The automobile: Cars were met with resistance when they were first introduced, as many people were afraid of the speed and danger they presented. Cities and towns also had to adapt to accommodate them.
- The radio: The radio was first met with skepticism, with many people believing that it would never catch on. However, it quickly became a powerful tool for communication, education and entertainment.
- The Internet: The Internet was initially met with resistance from some, with concerns about privacy, security, and the potential for it to be misused. However, it has become an essential tool for communication, commerce, and information sharing.
- Artificial Intelligence: AI is one of the latest inventions that is facing skepticism and backlash. Some people are concerned about the potential for AI to take over jobs, the ethics of decision making by machines and the potential for misuse.
These are just a few examples of inventions that have been met with resistance initially, but have ultimately been accepted and widely adopted by society. It’s important to keep in mind that new technologies can bring uncertainty and change, but they can also bring great benefits.
It’s important to have open and informed discussions about the potential risks and benefits of new technologies, like AI, in order to responsibly implement them and ensure they benefit society as a whole.
ChatGPT vs Google Search
ChatGPT, a conversational artificial intelligence technology capable of generating answers to questions and responding to queries in natural language, has caused quite a stir. Some speculate that it could replace online search engines such as Google.
While it is true that ChatGPT represents a cutting-edge evolution in search, it would be premature to suggest that it will significantly damage the market share of major search providers like Google in the near future.
Microsoft’s ChatGPT vs Google’s LaMDA
Far more likely is for ChatGPT to push Google into the commercialization of its conversational technology, LaMDA (Language Model for Dialogue Applications), and force other organic search providers to refine existing algorithms to remove any generic or spammy content associated with the use of ChatGPT by those who do not adhere by industry standards.
“This really strikes a need that people seem to have but it’s also important to realize these models have certain type of issues…
…you can imagine for search-like applications, the factuality issues are really important and for other applications, bias and toxicity and safety issues are also paramount.”
Jeff Dean, Google AI
Acknowledging these issues:
“It’s a mistake to be relying on it for anything important right now… It’s a preview of progress; we have lots of work to do on robustness and truthfulness.”
Sam Altman, OpenAI CEO
Anyone who has already dipped their toes in AI writing tools will attest to the extra step of verifying and compiling genuine facts and statistics.
“[The AI] can make stuff up…if they’re not really sure about something, they’ll just tell you, you know elephants are the animals that lay the largest eggs or whatever”
Jeff Dean, Google AI
GPT-3 Real-world examples
GPT-3 AI technology is particularly useful for language, content, and, more recently,
Meet Jasper, the AI art generator who turns your imagination into unique images and photos in seconds. Finally, you’ll have the perfect picture to match your message. No more hunting for stock images or waiting weeks for new creative.
When I asked what real-world tools could utilize the technology, ChatGPT answered:
- OpenAI’s API: GPT-3 can be accessed through the OpenAI API, which allows developers to integrate the model into their own applications and services.
- Writing Assistance: Tools like Grammarly, Hemingway, and Copy.ai use GPT-3 to assist users with writing, such as grammar and style suggestions.
- Virtual Assistants: GPT-3 is used in virtual assistants like Mitsuku, Replika, and Phoebe, which use natural language processing to understand and respond to users’ queries.
- Language Translation: GPT-3 based systems can be used for language translation and localization, for example, Unbabel and PhraseApp.
- Content Generation: There are various tools like Article Forge, which use GPT-3 to generate written content for blogs, articles, and social media posts.
- Chatbot: GPT-3 can be used to train conversational AI chatbots, which can be used for customer support, e-commerce, and other industries.
These are just a few examples of how GPT-3 technology is being used in the real world, as the technology is still relatively new, more and more use cases are being discovered and implemented.
What’s coming next
The future of GPT-3 technology is likely to involve continued development and refinement, as well as increased use of AI in a wide range of applications.
What’s next? We can anticipate:
More specialized models
OpenAI is likely to continue developing more specialized versions of GPT-3 for specific tasks and industries, such as GPT-3 for healthcare or finance.
More accurate and sophisticated language generation, understanding
As GPT-3 technology continues to evolve, the model will become more accurate and sophisticated in its language generation.
Ultimately, this will lead to more accurate and human-like responses with increasingly complex and nuanced prompts.
Research on Explainable AI and Fairness
GPT-3 is a black-box model, which makes it difficult to understand the reasoning behind its predictions. Research in Explainable AI and Fairness will be important to make it more transparent and trustworthy.
More research on ethical and safety concerns:
GPT-3 and similar models have raised concerns about the potential for misuse and manipulation. As the technology continues to evolve, it will be important to continue researching and addressing these ethical and safety concerns.
These are just a few potential areas of development for GPT-3 technology, and it will be interesting to see how it continues to evolve and impact various industries and society as a whole.
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