After watching the demos I'm convinced that the new context length will have the biggest impact. The ability to dump 32k tokens into a prompt (25,000 words) seems like it will drastically expand the reasoning capability and number of use cases. A doctor can put an entire patient's medical history in the prompt, a lawyer an entire case history, etc. As a professional...why not do this? There's a non-zero chance that i…
> What % of people can hold 25,000 words worth of information in their heads, while effectively reasoning with and manipulating it? In the general case, for arbitrary input, I think the answer to this is clearly 0. At best we can compress the text into a limited embedding with a few salient points stored in long term memory.
The GPT string is closer to short term memory, and there 25k words is way more than a human is capable of.
But a human author can offload much storage to long term (or some intermediate) memory.
In principle, GPT should be able to do so to, by basically retrain the model with the text it just created added as input. That way, it might be able to write texts that are billions of words long, but at a much greater cost of computing power, since this would require one instance of the model per book being written.