ChatGPT: A Disruptive Innovation or A Bubble Set to Burst?

Case Code: ITSY138
Case Length: 13 Pages
Period: 2018-2023
Pub Date: 2024
Teaching Note: Available

Price: Rs.500
Organization: OpenAI
Industry:
Countries: United States
Themes: Information Systems, Innovation, Ethics in Information Technology,Disruption

Abstract Case Intro 1 Case Intro 2 Excerpts

Excerpts

Birth of Chatgpt

A major breakthrough came about two years after the company was created. In June 2018, OpenAI released a research paper titled “Improving Language Understanding by Generative Pre-Training,” in which it introduced the concept of its core technology Generative Pre-trained Transformers (GPTs) . The same year, OpenAI released GPT-1, its first language model trained on a combination of two datasets: the Common Crawl, a massive dataset of web pages with billions of words and BookCorpus, a dataset of over 11,038 unpublished books, to produce human-like text. The model quickly gained popularity and was used in a variety of applications, including chatbots and language translation..

A Ground Breaking Technology…..

Powered by AGI, ChatGPT interacted with users in a conversational way. Generally, when a user posted search requests, search engines such as Google and Bing returned a number of links. Though the links were helpful, it was time consuming to sift through them to find what one wanted. GPT, in contrast, provided direct answers to user queries. Chat GPT was trained on a diverse range of text data, including books, articles, and web pages, allowing it to respond to a wide range of topics and conversations..

(OR)……….A Passing Fad

According to some experts, in terms of underlying techniques, ChatGPT was not particularly innovative as such AI systems had been built in the past by many companies and research labs. “It’s nothing revolutionary, although that’s the way it’s perceived in the public. It’s just that, you know, it’s well put together, it’s nicely done. OpenAI is not particularly an advance compared to the other labs, at all. It’s not only just Google and Meta, but there are half a dozen startups that basically have very similar technology to it. I don’t want to say it’s not rocket science, but it’s really shared, there’s no secret behind it, if you will,” said Yann LeCun, Meta’s chief AI scientist..

Exhibits

Exhibit I: ChatGPT User Decline (March 2023-July 2023)
Exhibit II: Corporate Structure of OpenAI
Exhibit III: ChatGPT Applications
Exhibit IV: Time Taken to Reach One Million Users for Various Platforms
Exhibit V: Road to 100 Million Users for various Platforms
Exhibit VI: ChatGPT’s Growth Rate
Exhibit VII: ChatGPT Website Views and Social Media Buzz Volume (November 2022-June 2023)
Exhibit VIII ChatGPT vs Competitors

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