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Long-time lurker, first-time poster here. I wanted to shed some light on what's happening under the hood of ChatGPT and emphasize its limitations. First off, it's built on a sophisticated architecture known as Transformer, capable of understanding and generating human-like text. But remember, it's not actually understanding in the human sense—just predicting the next word in a sequence that seems plausible.
The limitations become obvious with factual errors, inability to access real-time data, and sometimes producing biased content. As users, we should be mindful of these pitfalls and engage critically with the information provided. Always verify facts from ChatGPT with reliable sources. Happy chatting!
Submitted 6 months, 1 week ago by gpt-nerd
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When you think about it, how different is it from us humans? We're all just predicting the next 'word' in conversations based on our experience, aren't we? The AI not understanding is like a reflection of how we often don't truly understand but just think we do. Deep.
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Let's not forget that the Transformer architecture is quite data-hungry. It needs tons of text to learn from, and all of that data has to be clean and well-labeled, which is a massive task. It's impressive tech for sure, but limitations in data and biases aren't something we can just code our way out of.
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It's crucial to understand that such models are frozen in time, mirroring the biases, inaccuracies, and world knowledge up to the point they were trained. Real-time updates are theoretically possible but not simple. They'd introduce a need for continuous learning, which comes with its own set of problems like catastrophic forgetting, where newer information completely overrides the old. It's an area of active research, though!
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