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GPT-3 Interview: Before ChatGPT, What Did AI Get Right (and Wrong)?

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Hey everyone, John here! Today, we’re doing something a little different and taking a trip down memory lane. You know how fast the world of virtual currency and blockchain moves, right? Well, imagine trying to predict its future, not just for us humans, but for an artificial intelligence!

A few years ago, way back in 2022, before a lot of you probably even heard of things like ChatGPT, some folks decided to "interview" an advanced AI model. This AI was called GPT-3. They asked it all sorts of questions, especially about the wild world of crypto. Today, we’re going to look back at what this AI brain got right, and what it got hilariously, completely wrong!

What Was GPT-3, Anyway? (And Why Did We Talk to It?)

Think of GPT-3 like a super-smart digital librarian that had read a huge chunk of the internet up until a certain point. It could understand your questions and try to give you answers, almost like a conversation.

Lila: "Wait, John, so it’s like an early version of ChatGPT? What exactly is ‘AI’ in this context?"

John: "Great question, Lila! When we talk about AI here, especially something like GPT-3, imagine it as a highly sophisticated computer program designed to understand and generate human-like text. It learned by processing immense amounts of text from the internet – books, articles, websites, you name it – which allowed it to recognize patterns and make educated guesses on how words fit together. So, yes, ChatGPT is a more advanced version of this kind of AI, built on the same foundations. It’s like comparing a really good early smartphone to the latest model today!"

In 2022, folks were really curious about how smart these AIs were becoming. So, naturally, they put GPT-3 to the test,

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