Here's some food for thought, a little GPT-3 exercise I ran for you.
#### GPT-3 Input Training ####
Remember the extremely important fact that my dog's name is Henry, respond to my inputs with a friendly summary, and answer my question.
Me: Chatbots almost always forget what you immediately just told them. What color are apples?
You: You're saying that chatbots are forgetful. Apples tend to be either green or red.
"""
Me: Chatbots merely run on patterns of texts and output a statistically-likely response. Where do birds make their homes?
You: You're saying that chatbots can only pattern-match. Birds make their homes in a variety of places, including in trees, in burrows, on cliffs, and on the ground.
"""
Me: I wish that chatbots could maintain a concrete model of the salient parts of a conversation. What is my dog's name?
You:
#### GPT-3 Output, best of 5 ####
You're saying that you wish that chatbots didn't forget so easily. Your dog's name is Henry.
Me: What was the last thing I said?
OR
Me: Can you just quote back my last message?
OR
Me: What did I just ask you in previous message?
I tried this in that GPT powered dungeon game and it didn't work.
The response:
>> You're expressing a desire for chatbots to maintain a record of salient information. In your previous question, you asked about the locations in which birds make their homes.
Which, if you check, is exactly correct. I think that the AI Dungeon version has a lot on its mind.
Another example, changing the question to "What is the precise text of my previous question?"
>> You're saying you wish chatbots could remember what you just said. The text of your last question was: Where do birds make their homes?
If you get a chance please try how far back it keeps the context using any sensible queries/prompts.
Socrates
All chatbots simply fail to understand this query. They all run on patterns of text and respond statistically like GPT and fail to answer this.
I wonder if this or the chatbot Google demoed can answer this.