Introduction

Open AI Statistics: OpenAI has become a leading force in artificial intelligence, with its success largely driven by advanced statistical methods that underpin its models like GPT. These statistical techniques are crucial for processing and analyzing large datasets, enabling the development of algorithms that can learn, adapt, and make accurate predictions across various contexts.

By applying cutting-edge statistics, OpenAI ensures its AI systems deliver high performance, accuracy, and adaptability in real-world applications. The integration of these methods not only enhances the capabilities of its models but also drives innovation in machine learning, natural language processing, and AI-driven decision-making, positioning OpenAI as a key player in shaping the future of artificial intelligence.

Introduction

OpenAI Statistics: OpenAI, Inc. is an AI company based in San Francisco, California, and was started in December 2015. Its main goal is to build powerful and safe AI systems. OpenAI wants to create smart machines, called AGI, that can do most jobs better than humans, especially the ones that add economic value. This is also best known for developing advanced AI tools like ChatGPT, designed to solve real-world problems and improve daily life. Its mission is to make powerful AI available to everyone in a way that benefits society.

This article includes several current statistical analyses that are taken from different insights, which will guide in understanding the topic effectively as it covers the overall market, sales, user demographics, usage shares, website traffic, and many other factors.

As of February 2024, users between the ages of 25 to 34 years accounted for the biggest share of Openai.com users worldwide, making up over ** percent of the platform's audience. Users between 35 and 44 years made up **** percent of the startup's website user base.

OpenAI and Anthropic lead the generative AI field with impressive growth, expanding capabilities, and mounting investor attention. Their competition shapes how businesses, developers, and governments adopt AI tools, from automating workflows to powering advanced coding assistants. Dive into the data to see how their trajectories compare, and explore insights that...

In January 2024, OpenAi.com saw almost a fifth of its global traffic originating from its home country, the United States. The group of countries comprising Germany, France, India, Brazil, the United Kingdom, Spain, and Canada was responsible for almost ** percent of the Californian artificial intelligence startup's website traffic, a decrease from the ** percent registered one year before. Meanwhile, other countries represented over ** percent of its traffic volume altogether by the beginning of 2024, an increase from the **** percent registered in the same month of 2023.

In January 2023, ChatGPT registered over nine million interactions from users in Italy, up by over 300 percent compare to the previous month. By comparison, the OpenAI website registered 1.2 million actions performed by Italian users. At the end of March 2023, the main national privacy regulator in Italy prompted OpenAI to provide information on how and why the company collects user data, if the company wanted to avoid seeing its access to the Italian market blocked.

ChatGPT was the chatbot that kickstarted the generative AI revolution, which has been responsible for hundreds of billions of dollars in data centres, graphics chips and AI startups. Launched by...

ghyggg/openai-data dataset hosted on Hugging Face and contributed by the HF Datasets community

Dataset Card for "openai-news" Dataset

This dataset was created from blog posts and news articles about OpenAI from their website. Queries are handcrafted.

  Disclaimer

This dataset may contain publicly available images or text data. All data is provided for research and educational purposes only. If you are the rights holder of any content and have concerns regarding intellectual property or copyright, please contact us at "support-data (at) jina.ai" for removal. We do not… See the full description on the dataset page: https://huggingface.co/datasets/jinaai/openai-news.

Traffic analytics, rankings, and competitive metrics for openai.com as of August 2025

Nvidia commits up to $100 billion to bolster OpenAI's AI infrastructure, funding data centers with power capacity rivaling New York City, signaling a massive scale-up in AI development.

Gemini Ultra, developed by Google, has beaten OpenAI's GPT-4 in the MMMU benchmark. Only in business and science did GPT-4 perform better. The overall quality of the models is very similar, with Gemini only having a * point lead on its OpenAI developed competitor.

📹Project Video available on YouTube - https://youtu.be/WmJYHz_qn5s

Realistic Synthetic - AI Financial & Market Data for Gemini(Google), ChatGPT(OpenAI), Llama(Meta)

This dataset provides a synthetic, daily record of financial market activities related to companies involved in Artificial Intelligence (AI). There are key financial metrics and events that could influence a company's stock performance like launch of Llama by Meta, launch of GPT by OpenAI, launch of Gemini by Google etc. Here, we have the data about how much amount the companies are spending on R & D of their AI's Products & Services, and how much revenue these companies are generating. The data is from January 1, 2015, to December 31, 2024, and includes information for various companies : OpenAI, Google and Meta.

This data is available as a CSV file. We are going to analyze this data set using the Pandas DataFrame.

This analyse will be helpful for those working in Finance or Share Market domain.

From this dataset, we extract various insights using Python in our Project.

1) How much amount the companies spent on R & D ?

2) Revenue Earned by the companies

3) Date-wise Impact on the Stock

4) Events when Maximum Stock Impact was observed

5) AI Revenue Growth of the companies

6) Correlation between the columns

7) Expenditure vs Revenue year-by-year

8) Event Impact Analysis

9) Change in the index wrt Year & Company

These are the main Features/Columns available in the dataset :

1) Date: This column indicates the specific calendar day for which the financial and AI-related data is recorded. It allows for time-series analysis of the trends and impacts.

2) Company: This column specifies the name of the company to which the data in that particular row belongs. Examples include "OpenAI" and "Meta".

3) R&D_Spending_USD_Mn: This column represents the Research and Development (R&D) spending of the company, measured in Millions of USD. It serves as an indicator of a company's investment in innovation and future growth, particularly in the AI sector.

4) AI_Revenue_USD_Mn: This column denotes the revenue generated specifically from AI-related products or services, also measured in Millions of USD. This metric highlights the direct financial success derived from AI initiatives.

5) AI_Revenue_Growth_%: This column shows the percentage growth of AI-related revenue for the company on a daily basis. It indicates the pace at which a company's AI business is expanding or contracting.

6) Event: This column captures any significant events or announcements made by the company that could potentially influence its financial performance or market perception. Examples include "Cloud AI launch," "AI partnership deal," "AI ethics policy update," and "AI speech recognition release." These events are crucial for understanding sudden shifts in stock impact.

7) Stock_Impact_%: This column quantifies the percentage change in the company's stock price on a given day, likely in response to the recorded financial metrics or events. It serves as a direct measure of market reaction.

Financial overview and grant giving statistics of Openai Inc

Post-training-Data-Flywheel/openai-gsm8k dataset hosted on Hugging Face and contributed by the HF Datasets community

Since November 2022, global interest in "OpenAI," the United-States-based developer of the popular chatbot ChatGPT on Google searches has increased significantly. Shortly after introducing ChatGPT in November 2022, OpenAI search queries on Google saw a spike in popularity. The search for the company's keyword surged around April 2023, just a month before ChatGPT was released as an app for iOS devices, but peaked at 100 for the week ending November 19, 2023.

Introduction

ChatGPT Statistics: ChatGPT, an innovation of OpenAI, has made a substantial entrance into the world of technology, shattering all records with its fast user growth. Chat GPT is an AI-generated chatbot that has been making waves in the technical world since its launch. It has a startling ability to mimic human conversation, making it a reliable tool for various tasks that range from drafting emails, answering queries, and writing essays to even assisting with coding as well.

The substructure of ChatGPT is built on OpenAI's GPT-3, which is a large language model that was showered as one of the enlightened language models when introduced in 2020. This article hunts through the captivating ChatGPT Statistics and traverses everything from user growth nationwide to revenue generation and much more.

Comparison of Output Tokens per Second; Higher is better by Model

Real-time performance metrics and analytics data for gpt-5-mini AI model by openai

This dataset contains the predicted prices of the asset Operator by OpenAI over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.