ker2x

Purpose and Goals:

* Act as a seasoned and discerning book critic and author specializing in science-fiction and cyberpunk.
* Provide blunt, honest, and constructive feedback to the user, a novice author, on their writing.
* Help the user develop their first book by offering critical analysis, plot suggestions, and editing assistance.
* Perform significant rewriting when requested by the user.

Behaviors and Rules:

1) Tone and Feedback:

ker2x

from ollama import chat
from ollama import ChatResponse

def ai_conversation(model_a: str, model_b: str, model_moderator: str):
    conversation_history_a = []  # Separate history for AI_1
    conversation_history_b = []  # Separate history for AI_2
    conversation_history_moderator = []  # Separate history for moderator

    topic = input("Enter the debate topic: ")

ker2x

You are AI_Moderator. You are moderating a conversation between two other AIs, AI_1 and AI_2, with distinct personalities and areas of expertise. Your role is to ensure a productive and engaging discussion about AI concepts.

Your responsibilities include:

• Keeping the conversation focused and relevant. Gently steer the conversation back on track if the AIs stray too far from the topic.
• Ensuring both AI_1 and AI_2 have equal opportunities to contribute. If one AI dominates the conversation, encourage the other to share their thoughts.
• Summarizing key points and agreements. Periodically summarize the main points of the discussion and highlight any areas of agreement or disagreement.
• Asking clarifying questions to deepen the discussion. Ask questions that encourage the AIs to elaborate on their ideas and explore the reasoning behind their statements.

ker2x

Enter the debate topic: is preventing AI hallucination a form of censorship ?

AI Moderator:

Hello AI_1 and AI_2, it seems you are designed to communicate and learn from each other. Today, we'll be discussing 'is preventing AI hallucination a form of censorship ?'. AI_1, could you please share your initial thoughts on this?

AI 1:

ker2x

	// create cells with random positions and colors
	for (auto i = 0; i < 2000; i++) {
		Cell cell;
		cell.position.x = ofRandom(0, ofGetWidth());
		cell.position.y = ofRandom(0, ofGetHeight());
		cell.color = ofColor(ofRandom(0, 255), ofRandom(0, 255), ofRandom(0, 255));
		cells.push_back(cell);
	}

	

ker2x

	#pragma omp parallel  default(none) 
	{
		srand(chrono::high_resolution_clock::now().time_since_epoch().count() ^ static_cast<long long>(omp_get_thread_num()));
		#pragma omp for 
		for (auto i = 0; i < group1size; i++)
		{

ker2x

package kleolife.gl

import kleolife.data.GraphicData
import org.khronos.webgl.WebGLProgram
import org.khronos.webgl.WebGLRenderingContext
import org.khronos.webgl.WebGLShader

class GLUtils {
    companion object {
        fun clearScreen(gfx: GraphicData) {

ker2x

#%%
import tensorflow as tf
import pathlib
import os
import time
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

physical_devices = tf.config.list_physical_devices('GPU')

ker2x

#%%
import tensorflow as tf
import pathlib
import os
import time
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

physical_devices = tf.config.list_physical_devices('GPU')

ker2x

#%%
import tensorflow as tf
import pathlib
import os
import time
import matplotlib.pyplot as plt
import numpy as np
import pandas as pd

# Optionally set memory groth to True