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How OpenAI Decided to Build ChatGPT
@technooptimist
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Selling · SaaS › AI Tool
Why it worked
The video explains the accidental discovery of a product-market fit for AI chatbots by observing user behavior and viral content, demonstrating the power of iterative development and responding to emergent use cases.
Summary
OpenAI initially struggled to find a product for GPT-3, releasing it as an API. When a user's tweet about using GPT-3 for copywriting went viral, it showed a clear demand for AI-powered chat applications. This led OpenAI to develop a better model, GPT-3.5, focusing on instruction following to create a chatbot, which eventually became ChatGPT.
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Original caption
ChatGPT is one of the fastest growing products in history. However, it's own creation was a complete accident for OpenAI. "We had made GPT-3 and we needed to make money because we wanted to go scale up to, you know, a billion and multi-billion dollar computers. And we had GPT-3 and it was kind of interesting. It was a cool demo, but we couldn't figure out a product to build around it. And so we knew the models were going to get better, but we also wanted to like start a revenue engine sooner. And we said, well, since we can't figure out what product to build, we're just going to put this into an API. And so we launched in like summer of 2020, the GPT-3 API. And initially it kind of got no traction at all. And then about a month later, randomly, as far as we can tell, it went viral on Twitter. And then like a lot of people started trying the API, but it was shockingly bad And really, the only business that people got to work in a significant way with GPT-3 was copywriting. And that was like not that great and not that exciting. And we said, well, we can build a good chatbot. People clearly want that. And we had a new model." —@OpenAI Co-Founder, Sam Altman at @Stanford #openai #samaltman #chatgpt #startup #techcompany
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