3 ms·
If you say that the models have memory and can think, you are heavily implying that there is a brain in the cloud that is capable of "thinking" or "reasoning" t
by phailhaus 3y ago
If you say that the models have memory and can think, you are heavily implying that there is a brain in the cloud that is capable of "thinking" or "reasoning" through your request. That's what it means for humans: we're self-contained.
Models aren't like people. The context is not "part" of the model, the context is given to the model when you ask it for a prediction. It's like you cut a small part of a person's brain out. Alone, it can't think.
It's a pedantic distinction, but an important one. The model itself isn't capable of thinking, but if you package it up with a context that it can manipulate at-will, that combination of parts can be said to "think". That's probably going to be the next step in LLM tech.
- stavros 3y agoBy that definition, ChatGPT can already think.
- water-your-self 3y agoIf this is your conclusion, I would recommend reading more of the research.
- phailhaus 3y agoUh, no? ChatGPT does not have a memory outside of the context that you submit.
- stavros 3y agohttps://openai.com/blog/memory-and-new-controls-for-chatgpt https://openai.com/blog/memory-and-new-controls-for-chatgpt
- zoogeny 3y agoI think your use of the word "memory" here is imprecise. For example, I can ask ChatGPT "Give me a 200 word summary of George Orwell's book Animal Farm". It gives me a pretty cogent description of the novel. That knowledge of Animal Farm is somewhere, not in the context. If we don't call that memory, I'm not sure what to call it. Why should I think of this as different than my own memories of the book?
- phailhaus 3y agoThat's encoded in the model weights, not "memory". Basically, there is no context outside of the context that you give the model. When you ask it a question, those model weights don't change. It doesn't "remember" what you asked. This is why chain-of-thought reasoning works so effectively: it lets the model "use" the context as a sort of scratch pad to build up a response. Without it, the model isn't capable of mimicking thought because it's only capable of predicting based on the current context.
- esafak 3y agoThat is memory. Ask ChatGPT a basic fact about universe and it will tell you because it has memorized the answer. You are asking it to learn, or incrementally create new memories. That just has not been implemented yet, due to costs.