ChatGPT: Herald of Generative AI in 2023? | JD Supra (2024)

ChatGPT: Herald of Generative AI in 2023? | JD Supra (1)

Foley Forward: Trends 2023

In November 2022, OpenAI, a private artificial intelligence (AI) research laboratory and deployment company, introduced the world to its AI-enabled chatbot ChatGPT, leaving an indelible mark on the public and technology community, with the aim of benefiting humanity as a whole. It hit the world like a storm. Within five days of the platform’s initial release, the company drew more than one million daily users,1 and generated quite the buzz. Besides the publicity and energy behind the launch, what ChatGPT did was send shockwaves throughout the tech community and re-energized the belief in AI’s real-world applications.

With this release, OpenAI has garnered widespread attention both in the news and from the investor community. In late January, Microsoft, which has already invested US$3 billion into OpenAI, confirmed its commitment to continue its investment in the company with estimates of an additional US$10 billion investment to come,2 placing OpenAI’s valuation at US$30 billion.3

What is ChatGPT?

ChatGPT stands for Chat “Generative Pre-trained Transformer” (GPT) which is an AI large language model (LLM) that deploys deep learning and autoregressive (AR) modeling. AR modeling is simply a model that predicts a future outcome in a series or body of text based on previously observed outcomes of that sequence. The model uses prior learned outcomes to identify patterns in LLM datasets, and repeatedly predicts the next word in a set of text based on those patterns and groupings identified. The prior learning of the model is the result of the AI training method known as Reinforcement Learning from Human Feedback (RLHF). RLHF relies on frequent human supervision and training to reinforce and reward the most accurate conclusions of the models. Below is an infographic visualizing the process:

ChatGPT: Herald of Generative AI in 2023? | JD Supra (2)

Image Source: “ChatGPT: Optimizing Language Models for Dialogue” OpenAI.

While the public often associates LLMs with various iterations of the GPT, LLMs can be trained using a range of architectures, and are not limited to transformer-based models4. LLMs can process and produce various forms of sequential data, including assembly language, protein sequences, and chess games, extending beyond natural language applications alone.

It is important to recognize that the ChatGPT chatbot does not actually “know” anything. Rather, it applies a finely tuned model to identify patterns, group words, and quickly predict outcomes based on a library of information, with the caveat that the information stored on the ChatGPT server is limited to knowledge of events through 2021. Even ChatGPT tells us that it has limited knowledge of the world and events after 2021.

ChatGPT: Herald of Generative AI in 2023? | JD Supra (3)

A prompt of “what is your knowledge based from?” yields the following generated response: “as an AI language model, my knowledge is based on a large dataset of text from the internet, books and other sources.” Note, the training is constantly updated to ensure that ChatGPT has the most current information available.

For example, if you ask ChatGPT how many times Argentina has won the FIFA World Cup, you will get an answer of “two”, in 1978 and 1986. It does not account for Argentina’s recent World Cup win in 2022 in Qatar.

ChatGPT is not a new technology in many respects. It was built on the GPT models, specifically on top of OpenAI’s GPT-3.5 and GPT-4 families of LLM. GPT is a type of neural network that uses a transformer-based architecture to generate text. Further, GPT-3.5 is a model variant of GPT-3, which is a highly advanced language model developed by OpenAI. Each new iteration tends to be more efficient and cost-effective than its predecessor, while still providing a high level of language understanding and generation capabilities.

GPT-4, the latest milestone in OpenAI’s effort in scaling up deep learning, was released on March 14, 2023,5 and is made available via API and for premium ChatGPT users. GPT-4 is a large multimodal model, which allows it to accept image and text inputs, emitting text outputs, providing for a more interactive and immersive experience for the user.

A Panoply of Opportunity

ChatGPT is being heralded for the numerous applications and panoply of opportunities in a variety of industries and sectors. While this does raise concerns for those who fear AI job replacement,6 it is more likely (at least for now) that its application will lead to new collaborative work streams for AI-enabled human work.7 With just a few words typed into the prompt, ChatGPT can generate coherent text that feels authentically human in many cases, which means it can conceivably revolutionize many of the customer service chatbots in use today. It can also be used in a variety of research contexts to aid in the analysis and synthesis of thousands of texts in mere seconds. There is also a budding area of AI-as-creator opportunities with ChatGPT’s capabilities in artistic endeavors such as poetry, screenplay drafting, storytelling, and even journalism.

To date, the chatbot has shown promise in passing various standardized and master’s degree level tests in fields of medicine,8 law,9 and others, with limitations.10

Model capabilities are progressing rapidly. Consider the chart below that reflects the jump in exam performance between GPT-3.5 and GPT-4.11

ChatGPT: Herald of Generative AI in 2023? | JD Supra (4)

That being said, the program still has some ways to go, performing at the level of mediocre student in most of these examinations and oftentimes arriving at the correct answer for incorrect reasons. Additionally, the chatbot still has difficulty answering very basic questions in certain fields like math,12 basic logical reasoning,13 and computer programming.14

Limitations, Risks, and Ethics

ChatGPT is far from perfect in generating outputs, facing a number of concerning limitations that create risks for users. The chatbot has been shown on numerous occasions to write “plausible sounding, but incorrect or nonsensical answers."15 In a recent study, it drafted fake scientific abstracts and papers that fooled reviewers nearly a third of the time.16 Others have highlighted its proclivity for manufacturing made up sources to cite when answering technical questions, with the bot going as far as to use real authors’ names associated with fabricated articles that do not exist.17 These “hallucinations” are common for chatbots and create a risk with fidelity to the truth and reliability of the information derived from their use.

ChatGPT is also limited by the common AI issues of bias and unknowable data inputs and outputs commonly referred to as the “black box problem.” The limited data through 2021 used by ChatGPT does not provide for a way to know whether the information relied on contains inherent biases. The potential of bias in AI is well documented and a point of contention when considering whether to use the technology, with critics of ChatGPT pointing to a potential political bias in the chatbots’ outputs.18 The issue of bias in the data is compounded by developers’ inability to understand what information is being relied upon and how the AI-informed decision making actually occurs. This is due to the large corpus of data, the speed of neural networks, and the reinforced learning (AI vs. AI) algorithms these systems operate on, resulting in a “black box” machine that users and developers are unable to truly comprehend. This inability to audit the data and understand the purpose behind the machine’s decisions poses a risk to users.

Additional ethical concerns have been raised in connection with how ChatGPT and chatbots will affect students. GPT is affecting how people learn. Educators around the world are raising concerns about the potential for these tools to undermine student learning and testing as many students are already admitting to using chatbots during coursework.19 The concern of chatbot-generated plagiarism may be short lived though, as AI-generated text detection tools like GPTZero are being developed with incredible speed and efficiency.20

Finally, the issue of copyright and IP ownership is also at the forefront of the debate. The library of information that ChatGPT queries when deriving answers is often copyrighted and owned materials, begging the question of who or what intellectual property rights are attributed to the chatbot’s output. This issue of AI authorship is not unique to ChatGPT, with other AI products like OpenAI’s DALL-E 2, an image generator, raising similar concerns about artistic creatorship and ownership.21

Just the Beginning

Despite their limitations, LLMs are becoming more and more popular and integrated into specialized applications in areas like writing assistance, coding, and legal researching, paving the way for businesses and individuals to adopt GPTs more widely and regularly.

The tech community is using ChatGPT to write web and mobile applications and to audit code. Creative users are even claiming that ChatGPT has built them businesses that make money.

2023 seems to be the year of AI. Human capacity will be pushed to new realms, we will interact with each other differently, ideas and efficiencies will be developed and implemented. Perhaps this is the start, or progression of, another revolution, as the previous tech revolutions that came before it. While we are in early stages of AI, already there have been demonstrated use cases of AI in marketing and sales, creating personalized marketing literature and commentary, operations, providing for efficient task lists, IT and development, and other areas where complex answers are answered.

The AI revolution is here.

AI can use AI algorithms to create unique and original pieces of art (with legal implications of ownership, of course). AI can be used to generate new musical compositions, analyze fashion trends, create more realistic game characters, create recipes and perhaps even help do your homework! Of course, there are ethical and plagiarism concerns associated with some of the use cases. ChatGPT is further limited and is not designed to do the following:

  • Physical tasks
  • Make or provide moral or ethical judgments
  • Provide medical treatment or diagnosis
  • Provide legal advice
  • Predict the future
  • Provide comments on subjective topics
  • Counsel or provide emotional support
  • Engage in hateful, malicious, racial or harassing behavior or speech, or illegal activities

ChatGPT may have taken the world by storm since its re-release on March 14, 2023, but its unaccompanied rise was just the beginning. Numerous chatbot competitors are entering the marketplace with Google’s Bard, Meta’s LLaMA,22 and Microsoft’s improved Bing search being just a few of the LLMs launched or announced in 2023.23 What will be the impact of ChatGPT and similar large language models? According to ChatGPT:

“Chatbots like ChatGPT will significantly improve the efficiency and accessibility of customer service and support, while also automating repetitive tasks in various industries, such as education, healthcare, and business, freeing up employees to focus on more complex work. Their impact has the potential to revolutionize the way we interact with technology, making information and services more accessible to a wider range of people.”24

1 Helms, Shawn and Krieser, Jason. “ChatGPT Will Unleash Copyright ChaosBarron’s, 27 January 2023.

2Microsoft and OpenAI extend partnershipMicrosoft, 23 January 2023.

3 Robbins, Jacob. “After Microsoft’s OpenAI play, a feast at the generative AI buffetPitchbook, 30 January 2023.

4 Devlin, J., Chang, M.-W., Lee, K., and Toutanova, K. (2019). Bert: Pre-training of deep bidirectional transformers for language understanding. ArXiv, abs/1810.04805.

5 “OpenAI. GPT-4 Release Announcement. 14 March 2023.”

6 Cerullo, Megan. “AI ChatGPT is helping CEOs think. Will it also take your job?CBS News, 24 January 2023.

7 Book, Joakim. “ChatGPT Isn't Coming for Your Job (Yet)Reason, 24 January 2023.

8 Kung, Tiffany et al. “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language ModelsmedRxiv, 21 December, 2022.

9 Sloan, Karen. “ChatGPT passes law school exams despite 'mediocre' performanceReuters, 25 January 2023. and Choi, Jonathan et al. “ChatGPT Goes to Law SchoolSSRN, 25 January 2023.

10 Kung, Tiffany et al. “Performance of ChatGPT on USMLE: Potential for AI-Assisted Medical Education Using Large Language ModelsmedRxiv, 21 December, 2022.

11 GPT-4 technical report. Technical report, OpenAI

12 Von Hippel, Paul. “ChatGPT Is Not Ready to Teach Geometry (Yet)Education Next, 4 January 2023.

13 Ansari, Tasmia. “Freaky ChatGPT Fails That Caught Our Eyes!Analytics India Magazine, 7 December 2023.

14 Rose, Janus. “Stack Overflow Bans ChatGPT For Constantly Giving Wrong AnswersVice, 5 December 2023.

15ChatGPT: Optimizing Language Models for DialogueOpenAI, Accessed 10 March, 2023.

16 Bushard, Brian. “Fake Scientific Abstracts Written By ChatGPT Fooled Scientists, Study FindsForbes, 10 January 2023.

17ChatGPT produces made-up nonexistent references [Discussion Post], Y Combinator Hacker News, 3 December 2022.

18 Johnson, Arianna. “Is ChatGPT Partisan? Poems About Trump And Biden Raise Questions About The AI Bot’s Bias—Here’s What Experts ThinkForbes, 3 February 2023.

19 Westfall, Chris. “Educators Battle Plagiarism As 89% Of Students Admit To Using OpenAI’s ChatGPT For HomeworkForbes, 28 January 2023.

20 Bowman, Emma. “A college student created an app that can tell whether AI wrote an essayNPR, 9 January 2023.

21 Ellison, Steven. “Who Owns DALL-E Images?FindLaw, 29 August 2023.

22 Sundar, Sindhu. “Mark Zuckerberg just announced a new AI model 'LLaMA,' designed to help researchers make chatbots less 'toxic'Business Insider, 24 February 2023.

23 Shakir, Umar. “Bing, Bard, and ChatGPT: AI chatbots are rewriting the internetThe Verge, Accessed 9 March 2023.

24 ChatGPT generated response when asked: “In two sentences: what will be the impact of chatbots like ChatGPT?” Accessed 25 February 2023.

[View source.]

ChatGPT: Herald of Generative AI in 2023? | JD Supra (2024)

FAQs

Is Generative AI the future? ›

Generative AI is skilled at developing hypotheses and concepts for medical research. By 2025, generative AI technology will be responsible for the discovery of more than 30% of new drugs and materials. The use of generative AI in drug discovery results in significant cost savings.

When did generative AI come out? ›

Generative AI was introduced in the 1960s in chatbots.

What is the meaning of ChatGPT? ›

ChatGPT is a form of generative AI -- a tool that lets users enter prompts to receive humanlike images, text or videos that are created by AI. ChatGPT is similar to the automated chat services found on customer service websites, as people can ask it questions or request clarification to ChatGPT's replies.

How will generative AI change the world? ›

Generative AI will change the nature of how we interact with all software, and given how many brands have significant software components in how they interact with customers, generative AI will drive and distinguish how more brands compete.

What is the danger of generative AI? ›

Through generative AI, attackers may generate new and complex types of malware, phishing schemes and other cyber dangers that can avoid conventional protection measures. Such assaults may have significant repercussions like data breaches, financial losses and reputational risks.

What companies are using generative AI? ›

Who Is Investing in Generative AI? Big tech companies like Microsoft, Google, and AWS are investing in generative AI startups and technology. For example, Microsoft is one of the biggest investors in OpenAI. Many of these companies are working to develop their own generative AI tools and operations as well.

Is 2023 the year of generative AI? ›

One quarter into the year, it is safe to say that 2023 is the year artificial intelligence or AI took its first major evolutionary step in the form of generative AI towards what some are seeing as the eventual goal of self-awareness.

How many generative AI models are there? ›

As for now, there are two most widely used generative AI models, and we're going to scrutinize both. Generative Adversarial Networks or GANs — technologies that can create visual and multimedia artifacts from both imagery and textual input data.

Why has generative AI become so popular? ›

Generative AI allows people to create personalized content in seconds, ushering in a new paradigm for business. However, in our view, the technologies on which it is built — large language models (for text) and diffusion models (for images) — enable broader use cases beyond the 'generative' ones we see now.

How to make money with ChatGPT? ›

How to Use ChatGPT to Earn Money?
  1. Topical Authority. In order to create content around a topic, the first step is to understand the topics and sub-topics on which articles are to be written. ...
  2. Keyword Research and Analysis. ...
  3. Content Creation. ...
  4. Frequently Asked Questions. ...
  5. Tags and Categories. ...
  6. Click Worthy Titles. ...
  7. Meta Description.
Apr 17, 2023

How much is ChatGPT per month? ›

ChatGPT Plus is the premium version of ChatGPT, priced at $20 per month, and provides exclusive access to GPT-4, the latest version of OpenAI's disruptive software.

Is ChatGPT safe to use? ›

If you use the platform to get something typed, there's no harm. It will not install any malicious files into your PC. So, for that purpose, ChatGPT is entirely safe.

Who are the main players in generative AI? ›

There are several key players in the generative AI space, each offering different approaches and solutions. Some of the most prominent companies include OpenAI, Microsoft, Google, Meta Platforms, IBM, and others.

What are the drawbacks of ChatGPT? ›

While ChatGPT is proficient in language processing, it can struggle to grasp the subtle nuances of human communication. For example, if a user were to use sarcasm or humor in their message, ChatGPT may fail to pick up on the intended meaning and instead provide a response that is inappropriate or irrelevant.

Will generative AI replace humans? ›

Generative AI won't be replacing human therapists just yet, so we can't expect it to instantly resolve the mental healthcare crisis which has been underway for decades. Still, It does have much promising potential in boosting the efficiency of mental healthcare services.

Can AI harm humans? ›

Real-life AI risks. There are a myriad of risks to do with AI that we deal with in our lives today. Not every AI risk is as big and worrisome as killer robots or sentient AI. Some of the biggest risks today include things like consumer privacy, biased programming, danger to humans, and unclear legal regulation.

Can AI robots harm humans? ›

1. A robot may not harm a human being. This modification is motivated by a practical difficulty as robots have to work alongside human beings who are exposed to low doses of radiation.

What are the 4 risks dangers of AI? ›

Here are the top 5 AI risks that business leaders should watch out for:
  • Risk of Disruption. Artificial intelligence will disrupt existing business models and markets like no technology before it. ...
  • Cybersecurity Risk. ...
  • Reputational Risk. ...
  • Legal Risk. ...
  • Operational Risk.
Apr 9, 2023

Who is investing in generative AI? ›

PwC US makes $1 billion investment to expand and scale capabilities in AI. Generative AI is poised to revolutionize how we work, live and interact. It's clear that we are now at a tipping point.

Is generative AI over hyped? ›

According to the latest Salesforce survey of top senior IT executives, generative AI is largely over-hyped and risks biased outcomes. The skepticism grows with Generative AI if organizations fail to erect strong tech infrastructure and data strategy to snare AI's real potential.

Where is generative AI headed? ›

Google is bringing AI tools to users in Google Workspace and opening up its AI language model called PaLM for developers and businesses.

What does AI predict for 2023? ›

In 2023, I expect to see continued momentum in AI investments, particularly among businesses most directly impacted by economic and supply chain disruptions, as well as mature industries generally able to scale AI adoption the most, such as financial services, retail, healthcare, and manufacturing.

What to expect from AI in 2023? ›

In 2023, we can expect to see further advancements in natural language processing, computer vision, and machine learning. These advancements will allow AI to understand and process information even more effectively, enabling it to make better decisions.

Will AI replace humans in the future? ›

Artificial intelligence cannot replace human talent and creativity, it can only mimic the human brain. The algorithms designed for machine learning (ML) must be taught how to perform their assigned tasks. This requires a large number of human resources which will only continue to multiply in the near future.

What is the most powerful AI model? ›

GPT-3 was released in 2020 and is the largest and most powerful AI model to date. It has 175 billion parameters, which is more than ten times larger than its predecessor, GPT-2.

What type of AI is ChatGPT? ›

ChatGPT is an artificial intelligence (AI) chatbot developed by OpenAI and released in November 2022. It is built on top of OpenAI's GPT-3.5 and GPT-4 foundational large language models (LLMs) and has been fine-tuned (an approach to transfer learning) using both supervised and reinforcement learning techniques.

Who invented generative AI? ›

A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative AI. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014.

What can generative AI be used for? ›

New and seasoned developers alike can utilize generative AI to improve their coding processes. Generative AI coding tools can help automate some of the more repetitive tasks, like testing, as well as complete code or even generate brand new code.

How accurate is generative AI? ›

Accurate generative AI content

This situation is getting more challenging: a recent study suggests individuals have only a 50% chance of correctly identifying whether AI-generated content is real or fake.

What is the difference between AI and generative AI? ›

Generative AI is a subset of machine learning that uses neural networks to generate new content. Unlike other AI systems programmed to perform specific tasks, Generative AI functions on large datasets and produces content that is new, unique and sometimes unpredictably informative.

How to earn $1,000 dollars per day? ›

How To Make $1,000 A Day
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Mar 19, 2023

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How to Make $500 a Day
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Apr 26, 2023

How can I make $100 a day? ›

How to Make 100 Dollars a Day
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Feb 8, 2023

Will ChatGPT replace programmers? ›

The short answer is no, ChatGPT will not replace programmers entirely. However, it has the potential to automate some aspects of programming, such as code generation, bug fixing, and documentation. ChatGPT can learn from vast amounts of code and data, making it possible to generate new code similar to existing code.

What are the peak hours for ChatGPT? ›

5. Try Using ChatGPT During Off-Peak Times. According to Similarweb, the largest portion of ChatGPT's traffic comes from the US. If you want the best chance to access ChatGPT then avoid peak US usage hours which should be during business hours between 7 AM and 5 PM.

What are the benefits of paid ChatGPT? ›

ChatGPT is free to use, regardless of what you use it for including writing, coding, and much more. There is a subscription option that users can take advantage of that costs $20/month. The paid subscription model guarantees users extra perks such as general access even at capacity, and faster response times.

Is ChatGPT traceable? ›

Many people have been wondering can Chat GPT be detected by Turnitin, an AI language model used for various purposes such as facilitating communication, providing customer service, and even writing news stories. So far it seems that the answer is no.

Can we use ChatGPT for free? ›

Upgrade to Plus: ChatGPT Plus is a paid subscription that gives members access to the GPT-4 model, a faster and larger language model from OpenAI. You can choose to upgrade to Plus or stay with the free version.

Does ChatGPT have an app? ›

It is now also powered by the new Bing AI, which is based on GPT-4. The app is the closest you can get to using ChatGPT as an app officially. After you've downloaded it on your Android or Apple device, just hit the Bing logo at the centre of the bottom toolbar to begin chatting with GPT-4.

Who is the Chinese leader in AI? ›

Leading Industrial Players. Leading AI-centric companies and start-ups include Baidu, Tencent, Alibaba, SenseTime and Yitu Technology.

Who are the three fathers of AI? ›

Founding fathers of Artificial Intelligence
  • Alan Turing (1912-1954)
  • Allen Newell (1927-1992) & Herbert A. Simon (1916-2001)
  • John McCarthy (1927-2011)
  • Marvin Minsky (1927-2016)
Mar 19, 2021

What is an example of generative AI? ›

Generative AI systems create things, such as pictures, audio, writing samples and anything that can be built with computer-controlled systems, such as 3D printers. Discriminative systems identify things such as people in pictures, words in speech or handwriting and what's real versus what's fake.

What is the future of the ChatGPT? ›

ChatGPT has the potential to be transformative in the business landscape. With its ability to automate routine tasks, provide real-time data analysis, support multiple languages and improve data accuracy, ChatGPT could change the way time and resources are allocated.

How accurate are ChatGPT answers? ›

Is ChatGPT a credible source? No, ChatGPT is not a credible source of factual information and can't be cited for this purpose in academic writing. While it tries to provide accurate answers, it often gets things wrong because its responses are based on patterns, not facts and data.

How much text can ChatGPT handle? ›

While ChatGPT is a powerful A.I. tool, it does have a character limit of 2048 characters per response.

Which human will not replaced by AI? ›

Regardless of how well AI machines are programmed to respond to humans, it is unlikely that humans will ever develop such a strong emotional connection with these machines. Hence, AI cannot replace humans, especially as connecting with others is vital for business growth.

What AI can't replace? ›

Trade jobs like plumbers, electricians, and HVAC technicians are not going to be replaced by AI. For example, a plumber needs to visit sites to install plumbing or fix pipes.

Is generative AI the future? ›

Generative AI is skilled at developing hypotheses and concepts for medical research. By 2025, generative AI technology will be responsible for the discovery of more than 30% of new drugs and materials. The use of generative AI in drug discovery results in significant cost savings.

What is next after generative AI? ›

According to Mallick, the next in store for generative AI is multiple inputs and multimedia output. In other words, a multimodal approach. Microsoft recently introduced a multimodal large language model (MLLM) called Kosmos-1.

What is the future of generative design? ›

In the future, generative design will also improve the ability of humans and software to work in tandem. Workflow and interface improvements will help designers set up their problems more robustly, encoding more of their experience before the designs are generated.

How big is the generative AI industry? ›

[385 Pages Report] The market for generative AI is anticipated to increase from USD 11.3 billion in 2023 to USD 51.8 billion by 2028, at a CAGR of 35.6% over the course of the forecast period.

What is generative AI How is it being used today? ›

Generative AI is a form of artificial intelligence in which algorithms automatically produce content in the form of text, images, audio and video. These systems have been trained on massive amounts of data, and work by predicting the next word or pixel to produce a creation. And it's not just Big Tech.

How to invest in AI Revolution? ›

The most obvious way to invest in the AI revolution is to try and identify companies that are at the forefront in developing the new AI technology. Here you will find everything from tech giants such as Google, Microsoft, Meta, Amazon, Tesla and Nvidia to smaller, more niche-oriented AI companies.

What are the top generative AI models? ›

The term generative artificial intelligence (AI) refers to machine learning algorithms that are able to derive new meaning from existing content, such as text, images, and code. The leading generative AI tools include DeepMind's Alpha Code (GoogleLab), ChatGPT, GPT-3.5, DALL-E, MidJourney, Jasper, and Stable Diffusion.

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