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I wrote a code for a conversation between 2 ChatGPTs (which I call them agent 1 and agent 2) using poe.com and its reversed engineered API:

import poe

agent_1 = {"token":""} print("Agent 1: ON") agent_2 = {"token":""} print("Agent 2: ON")

client_1 = poe.Client(agent_1["token"]) client_2 = poe.Client(agent_2["token"])

model = "chinchilla"

client_1.purge_conversation(model) print("Agent 1: Ready") client_2.purge_conversation(model) print("Agent 2: Ready")

print("Initial Prompt:") message = input()

def remove_ai_phrase(sentence): """ Removes the phrase "As an AI language model" from a sentence. """ ai_phrase = "As an AI language model" if ai_phrase in sentence: # Find the end of the sentence (i.e., the position of the last period) sentence_end = sentence.rfind(".") # Remove the ai_phrase from the sentence sentence = sentence[:sentence_end].replace(ai_phrase, "") + sentence[sentence_end:] return sentence

c = 0 while True: if c == 0: message = message c += 1 print("\n",50"=") print("\nAgent 1:") answer_1 = "" for chunk in client_1.send_message(model, message): print(chunk["text_new"], end="", flush=True) answer_1 += ""+chunk["text_new"] print("\n") print("\n",50"=") print("\nAgent 2:") # answer_1 += "\nIn addition..." answer_1 = remove_ai_phrase(answer_1) answer_2 = "" for chunk in client_2.send_message(model, answer_1): print(chunk["text_new"], end="", flush=True) answer_2 += ""+chunk["text_new"] print("\n") message = answer_2 message = remove_ai_phrase(message)

Based on my few experiments, when I set the initial prompt on something like "discuss the meaning of life", they stuck at complementing each other. But if I set the initial prompt to something short and meaningless like "1", they actually start having conversation on various topics.

How do you think we can make them talk about a specific topic and reflect on each other?

nbro
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1 Answers1

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An interesting long interaction (human-bot) can be obtained from asking the bot to "act as a teacher", and prompting for, say, five questions for each of five different subjects (nested loop in natural language programming). This allows for rethinking GPT as General Programmable Tutor.

A natural extension of this between two bots could be prompting one to act as a teacher and the other one as a student, to break the initial symmetry and allow you to simply contemplate the evolution of dialogue.

As for reflection, I wonder whether some artificial consciousness can be made to emerge by letting an agent ask questions about itself to a variety of other agents and make kind of a majority vote, a synthesis from the answers obtained. A natural first question to investigate one's nature in the absence of direct self-observation could be who am I?. With two agents only it seems to be more difficult to gain much knowledge about oneself, because the self-image could be manipulated more easily.