Amplify Your Analysis: Elevate Plain English to 10x Data Insights with ChatGPT-4

When we put out GPT-2, some of the stuff that was considered most impressive at the time was, “You put these 5 examples of English to French translation straight into the language model, and then you put a sixth sentence in English and it actually translates into French. Like, oh, my God, it actually understands the pattern.” That was crazy to us, even though the translation was terrible. But our view was that, “Look, this is the beginning of something amazing because there’s no limit and you can continue to scale it up.” There’s no reason why the patterns we’ve seen before won’t continue to hold.

The objective of predicting the next word is so rich, and there’s so much you can push against that it just absolutely has to work. And then some people looked at it and they were like, “You made a bot that translates really badly.”

— Dario Amodei, Anthropic

Most of the individuals I converse with are eager to explore ChatGPT 3.5 when introduced to the enhancements it promises. However, after encountering limitations like hallucinations and a restricted knowledge base, enthusiasm often wanes. A sentiment echoed in their direct feedback to Dario Amodei: “You made a bot that translates really badly.” This critique underscores a common tendency to focus on immediate…