By Aamna Babar | 03 April 2023
OpenAI, an AI research organization, was founded in December 2015 by a group of tech leaders including Elon Musk, Sam Altman, Greg Brockman, Ilya Sutskever, and Wojciech Zaremba. Their mission of OpenAI was to promote and develop user-friendly AI systems that can be used by the general public. Elon Musk later left in 2018 over conflict of interest with other co-founders on how to run the company. Nevertheless, in 2019, Microsoft, a technology corporation founded by Bill Gates, announced a multibillion dollar partnership with OpenAI. They developed the fifth most powerful supercomputer in the world. This supercomputer was designed to perform complex calculations on vast amounts of data, and train complex machine learning models in a matter of a second. Thus, OpenAI and its tools are transforming today’s digital world in unprecedented ways. This article discusses OpenAI as an organization and provides an overview of the tools it has developed over the years.
Mission of OpenAI
OpenAI’s mission is to ensure that artificial general intelligence—AI systems that are generally smarter than humans—benefits all of humanity. The organization aims to create AI technologies that can help solve some of the world’s biggest challenges, such as climate change, poverty, and disease, while also ensuring that these technologies are developed and used in a responsible and ethical manner. Moreover, OpenAI targets to create AI systems that are aligned with human values and goals. The goal is to develop technologies that are safe, reliable, and transparent, and that can be used to improve human well-being.
Products of OpenAI
Since 2016, OpenAI has introduced multiple products that have enhanced learning, arts, video games, and generative models that can act and respond like humans. Following are some of the products that OpenAI has publicized.
Dactyl – 2018
Developed in 2018, Dactyl uses machine learning to train a shadow-hand, a human-like robot hand, to manipulate physical objects. It learns entirely in simulation using the reinforcement learning algorithm and training code. OpenAI tackled the object orientation problem by using domain randomization, a simulation approach that exposed the learner to a variety of experiences rather than trying to fit reality. The set-up for Dactyl, aside from having motion tracking cameras, has RGB cameras to allow the robot to manipulate an arbitrary object by seeing it. In 2018, OpenAI showed that the system was able to manipulate a cube and an octagonal prism.
DALL-E 2 – 2021
DALL-E 2 is a deep learning model that generates digital images from natural language descriptions, called “prompts”. It was revealed by OpenAI in January 2021. The program works by taking a textual input and translating it into a visual image using a neural network that has been trained on a vast dataset of images. DALL-E 2 can create images that are both realistic and imaginative. The program can generate images of surreal objects and scenes that do not exist in the real world. For example, if given a textual description like “a snail made of harp strings,” DALL-E can generate a unique image that matches that description. DALL-E 2 has many potential applications, including in the fields of advertising, design, and entertainment.
Content Launch – 2021
OpenAI’s Content Launch is a language model designed to help content creators generate high-quality written content quickly and easily. It is based on OpenAI’s GPT-3 language model and is trained on a large corpus of text to understand natural language and generate text that is fluent and coherent. Content Launch can be used to generate a wide range of content types, such as articles, blog posts, social media posts, emails, and more. Users can provide a topic or prompt, and Content Launch generates a complete piece of content based on that input.
CodeGenX – 2021
Codex is a descendant of GPT-3 that has additionally been trained on code from 54 million GitHub repositories. According to OpenAI, the model is able to create working code in over a dozen programming languages, most effectively in Python. But there are still several issues in the model like glitches, design flaws, and security vulnerabilities that have been brought up.
Generative Pre-trained Transformer (GPT) – 2021
ChatGPT is an artificial intelligence chatbot developed by OpenAI that interacts in a conversational way. It is powered by a natural language processing (NLP) application that generates human-like text answers in real-time. Over the years, OpenAI had developed several GPT models with enhanced efficiency and features. These models have been fine-tuned using both supervised and reinforcement learning techniques. The latest version, GPT-4, is capable of accepting text and images, and is proficient in writing codes in major programming softwares. Recently, ChatGPT passed law exams in four courses at the University of Minnesota and another exam at University of Pennsylvania’s Wharton School of Business. As such, the ChatGPT technology holds immense potential in transforming knowledge dissemination.
Future of OpenAI
With current advancements in the tools of Open AI, the future seems bright. As OpenAI is making its way into different layers of daily life, it is predicted that the AI market will grow by 36% in 2025. Experts predict that tools created by OpenAI will impact society in various ways.
In education, OpenAI could analyze students’ behavior, tracing their interaction with the learning platform and then offering suggestions as to where students could improve. Using Natural Language Processing, OpenAI will also be able to create personalized learning content for different students, helping everyone to learn in their own way and at their own pace. Early tests of OpenAI in these environments have already been conducted at Stanford and Harvard.
Moreover, OpenAI can also be used-in the future- in the manufacturing industry to automate systems. Where there are repetitive tasks like data entry, AI can easily take over. At its highest level, OpenAI’s technology can be used to create robots that are programmed for specific roles. This would reduce the human workforce that is needed to run a certain operation. As these technologies become more advanced and precise, the number of roles that such robots can fill will only increase.
Last but not the least, in retail, OpenAI could assist with customer data collection. Using AI-enabled cameras, tools will be able to directly scan human faces, then create a list of demographic features about the person. While not fully accurate, this list can be used to give information about key demographics such as age and gender which can be used by workers to personalize outreach.
With OpenAI making its way into the different industries, it seems like the tools it produces have the power to reform the digital space. It is important to note that their adoption is critical since the future of technology lies with AI. Thus, once these tools are embraced, it will ensure that all stakeholders benefit from these new developments.