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A research preview posted on a Wednesday became the fastest-growing consumer product in history.
On November 30, 2022, OpenAI posted a research preview of ChatGPT, a chat interface built on a model derived from GPT-3.5. It was free. It was shockingly fluent. It reached an estimated 100 million monthly users by January, a pace that dwarfed any prior consumer product.
The underlying model was not new. What was new was the chat interface, the instruction tuning, and the use of reinforcement learning from human feedback, or RLHF, to make the model follow instructions and refuse harmful requests.
The public conversation about AI shifted from specialist forums to the dinner table. Parents asked about homework. Managers asked about jobs. Policy makers asked about regulation. All within a few months.
I'm a little bit scared of this.
— Sam Altman, on ChatGPT, early 2023
The big idea: ChatGPT was less a technical breakthrough than a product one. But the product reshaped the industry, the funding landscape, and public understanding of AI almost overnight.
8 questions · take it digitally for instant feedback at tendril.neural-forge.io/learn/quiz/end-history-chatgpt-explorers
What is the main idea of "ChatGPT, November 2022"?
Which concept is most central to "ChatGPT, November 2022"?
Which use of AI fits this topic best?
What should a careful learner remember about "Why it broke through"?
You want to use AI after this lesson. What is the safest next step?
How should AI output about ChatGPT be treated?
Name one way to verify an AI answer about ChatGPT.
Which action would help you apply "ChatGPT, November 2022" responsibly?