OpenAI is a company that builds artificial intelligence systems, most famously ChatGPT

OpenAI is an artificial intelligence research company founded in 2015. It creates AI models — software systems trained on large amounts of text and data to recognize patterns and generate responses. The company is best known for ChatGPT, a conversational AI tool that answers questions and helps with writing, coding, and problem-solving tasks. OpenAI also makes DALL-E (an image generator), GPT-4 (a more advanced language model), and other AI tools.

OpenAI started as a non-profit research organization but is now structured as a for-profit company with a non-profit parent. It receives funding from investors including Microsoft, which has integrated OpenAI's technology into its own products like Bing search and Microsoft 365. Understanding what OpenAI does matters if you use ChatGPT, want to build software with AI, or simply want to know how these tools work.

Key Takeaways

  • OpenAI builds AI language models and image generators; ChatGPT is its most widely used product, available free and through paid subscriptions.
  • The company trains its AI systems on large datasets of text from the internet, books, and other sources, then refines them through human feedback.
  • OpenAI offers API access so developers and businesses can build their own applications using OpenAI's AI models.
  • ChatGPT and other OpenAI tools are not search engines and do not access the internet in real time; they generate responses based on patterns learned during training.
  • OpenAI's business model includes free consumer access to ChatGPT, paid subscriptions (ChatGPT Plus), and paid API access for developers.

How OpenAI's AI models actually work

OpenAI's AI systems are large language models — software trained on billions of words from books, websites, articles, and other text sources. During training, the model learns statistical patterns: which words tend to follow other words, how sentences are structured, and how ideas connect. This is not the same as understanding; the model is pattern-matching at scale.

When you type a question into ChatGPT, the model processes your words and generates a response one word at a time, always choosing the word most likely to come next based on what it learned during training. The model does not look up answers on the internet or consult a database. It generates text the way a very sophisticated autocomplete would, but trained on vastly more data and refined through additional steps.

After initial training, OpenAI uses a process called reinforcement learning from human feedback (RLHF). Human trainers rate different responses the model generates, telling it which answers are more helpful, honest, and harmless. The model learns from this feedback to produce better responses. This is why ChatGPT often sounds more natural and helpful than earlier AI systems.

ChatGPT and OpenAI's other products

ChatGPT is OpenAI's conversational AI tool — you type a question or request, and it responds with text. The free version uses an older model (GPT-3.5), while the paid subscription ChatGPT Plus uses GPT-4, which is more capable and can handle longer conversations. ChatGPT can help with writing, coding, math, brainstorming, and answering questions, though it sometimes makes mistakes or invents information.

DALL-E is OpenAI's image generator. You describe an image in words, and DALL-E creates a new image based on your description. It does not search for existing images; it generates entirely new ones. DALL-E is available through a web interface and through API access for developers.

OpenAI also offers GPT-4 and GPT-3.5 through an API (application programming interface) that developers can use to build their own applications. A developer might use the API to add AI-powered features to their software, automate customer service, or build new tools. Businesses pay per token — roughly per word or piece of data sent to and received from the model.

What OpenAI's AI cannot do

ChatGPT and other OpenAI models have real limitations. They do not browse the internet or access real-time information. If you ask about current events, the model will not know about them unless they happened before its training data ended. For ChatGPT, that cutoff is April 2024 for GPT-4 and January 2022 for the free version, though this may change.

The models sometimes hallucinate — they generate false information with confidence. They might invent a quote, describe a study that does not exist, or provide incorrect code. They are also trained on data from the internet, which contains bias, misinformation, and outdated information. The model can reflect those problems in its responses.

OpenAI's models also cannot see images (except in GPT-4 Vision, a limited feature), cannot run code they write, and cannot learn or remember information from one conversation to the next. Each conversation starts fresh. They work best when given clear, specific instructions and when you verify important information independently.

How to use OpenAI's products

To use ChatGPT, go to openai.com and sign up for a free account. You can then chat with the model directly in your browser. The free version has usage limits and uses the older GPT-3.5 model. ChatGPT Plus costs $20 per month and gives you access to GPT-4, faster responses, and higher usage limits.

To use DALL-E, sign up at openai.com and navigate to the DALL-E section. You get a small number of free credits each month; additional images cost money. Developers who want to use OpenAI's models in their own software need to sign up for API access, set up billing, and integrate the API into their code using OpenAI's documentation and code libraries.

If you are not a developer, you do not need to worry about the API. Using ChatGPT or DALL-E through the web interface is straightforward: sign up, log in, and start typing. OpenAI provides free tiers so you can try the products before paying.

OpenAI's business model and funding

OpenAI makes money in three main ways. First, through ChatGPT Plus subscriptions ($20 per month). Second, through API usage — developers and businesses pay based on how much they use the models. Third, through partnerships like its deal with Microsoft, which has invested billions into the company and integrated OpenAI's technology into Microsoft products.

The company is expensive to run. Training large language models requires enormous computing power, which costs millions of dollars. OpenAI needs to balance making money with keeping products affordable and accessible. That is why ChatGPT remains free for basic use — the company wants widespread adoption and user feedback to improve its models.

OpenAI is not a non-profit, though it has a non-profit parent organization. It operates as a for-profit company with investors and employees. This structure allows it to raise capital and grow, but also means profit is a business goal alongside its stated mission of developing AI safely.

OpenAI versus other AI companies

OpenAI is not the only company building large language models. Google has Bard (now called Gemini), Meta has LLaMA, and Anthropic has Claude. Each model has different strengths and weaknesses. ChatGPT became the most well-known partly because OpenAI released it to the public early and made it free to try, while other companies kept their models more restricted.

Some models are open-source, meaning anyone can download and run them. Others, like ChatGPT and Bard, are closed — you access them through a company's website or API, but you cannot see or modify the underlying model. Open-source models give you more control but require technical knowledge and computing power. Closed models are easier to use but you depend on the company running them.

OpenAI's models are generally considered among the most capable, but "best" depends on your specific task. For writing and conversation, ChatGPT and Claude are strong. For coding, different models excel at different languages. For image generation, DALL-E, Midjourney, and Stable Diffusion each have fans. Trying a few different tools is the only way to know which works best for what you need.

Frequently Asked Questions

Does ChatGPT know who I am or remember what I said before?

No. Each conversation with ChatGPT starts fresh. The model does not remember previous conversations or know your name unless you tell it in the current chat. OpenAI stores conversations for safety and improvement purposes, but the model itself has no memory between sessions. If you want the model to remember context, you have to include that information in your current message.

Is ChatGPT stealing from writers and artists?

OpenAI trained its models on text from the internet, including copyrighted books and articles, without asking permission. This has led to lawsuits from authors and publishers. The legal questions around AI training data are still being decided in courts. OpenAI argues training is fair use; others argue it violates copyright. The answer is not settled yet.

Can I use ChatGPT output for work or school?

That depends on your school's or employer's policy. Many schools prohibit submitting ChatGPT-written work as your own because it is not your work. Some employers allow using ChatGPT as a tool to help with tasks, similar to using spell-check or a calculator. Check your specific rules. If you do use ChatGPT, disclose that you used it and verify the output is accurate — the model makes mistakes.

What does OpenAI do with the data I give it?

OpenAI stores conversations for safety, legal, and improvement purposes. By default, your conversations may be reviewed by OpenAI staff and used to improve the model. If you want more privacy, ChatGPT Plus users can turn off chat history. If you use the API, OpenAI does not use your data to train new models unless you opt in. Read OpenAI's privacy policy for specifics.

Will ChatGPT replace my job?

AI tools like ChatGPT will likely change many jobs rather than eliminate them entirely. Some tasks will be automated, but new tasks will emerge. Jobs involving judgment, creativity, human interaction, and physical work are harder to automate. Learning to use AI tools effectively is becoming a practical skill in many fields. The impact varies by industry and role.