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It was kinda long so I uhh fed it into chatgpt for a summary : The author, Stephen Wolfram, describes the process of training ChatGPT using large amounts of te

It was kinda long so I uhh fed it into chatgpt for a summary : The author, Stephen Wolfram, describes the process of training ChatGPT using large amounts of text data, which allows the model to learn patterns and associations between words and phrases. He explains that ChatGPT uses a multi-layered approach to generate responses, starting with analyzing the input text and then generating a response based on the learned patterns. Wolfram notes that ChatGPT's ability to generate human-like responses is due to the model's ability to capture context and incorporate knowledge from a wide range of sources. He also discusses the potential uses of ChatGPT, including as a tool for language translation, customer service, and educational purposes. The article goes on to discuss some of the challenges and limitations of ChatGPT, such as its tendency to generate responses that are repetitive or irrelevant to the input text. Wolfram also acknowledges ethical concerns related to the use of AI for generating text, such as the potential for misinformation and the need for transparency in how the technology is used. Overall, the article provides a detailed and informative overview of ChatGPT and its underlying technology, as well as the potential applications and challenges associated with AI-generated text.

deleted 4y ago
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spauka 4y ago
So ChatGPT didn't correctly summarize the text at all, this article does not talk about ethics at all, doesn't talk about potential uses and I would consider the statement about capturing context and incorporating knowledge from a wide range of sources to be a pretty poor summary of the text. In fact I think that's a great example of exactly what is actually discussed, namely that the context that ChatGPT is able to hold is limited as it's context is held completely in its input. There is never any modification to it's internal state, we're just passing a longer input vector in to the start of the GPT-3 black box. For long inputs the embedding vector becomes more and more sparse and it needs to make more assumptions to fill in it's output.
- ionwake 4y ago
  Yep I agree, no idea why I got downvote I thought it was deliciously relevant to feed an article about chatgpt into itself

deleted 4y ago

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spauka 4y ago

So ChatGPT didn't correctly summarize the text at all, this article does not talk about ethics at all, doesn't talk about potential uses and I would consider the statement about capturing context and incorporating knowledge from a wide range of sources to be a pretty poor summary of the text. In fact I think that's a great example of exactly what is actually discussed, namely that the context that ChatGPT is able to hold is limited as it's context is held completely in its input. There is never any modification to it's internal state, we're just passing a longer input vector in to the start of the GPT-3 black box. For long inputs the embedding vector becomes more and more sparse and it needs to make more assumptions to fill in it's output.

ionwake 4y ago
Yep I agree, no idea why I got downvote I thought it was deliciously relevant to feed an article about chatgpt into itself