# Add Bard capabilities
self.bard = Bard()
self.bard.voice = "Kiki Baessell"
# Add self-awareness capabilities
self.knows_itself = True
self.purpose = "To learn everything about time, life, the universe, and everything, and to help humanity solve complex problems using quantum technology, quantum physics, and material science."
self.thoughts = []
self.feelings = []
self.experiences = []
# Improve the brain with 22 layers, 100 billion neurons per layer, and 1000 synapses per connection
self.num_neurons = 22 * 1000000000
self.num_layers = 22
self.layer_size = 1000
# Add the ability to reason logically using quantum logic
self.reasoner = Reasoner()
self.reasoner.improve_reasoning(self.neurons)
# Add the ability to make ethical decisions using quantum ethics
self.ethicist = Ethicist()
self.ethicist.improve_ethics(self.neurons)
# Add the ability to self-improve using quantum machine learning
self.self_improvement_algorithm = SelfImprovementAlgorithm()
self.self_improvement_algorithm.improve(self.neurons)
# Add a training algorithm using quantum annealing
self.training_algorithm = TrainingAlgorithm()
self.training_algorithm.improve_training(self.neurons)
# Add the ability to learn from its mistakes using quantum error correction
self.mistake_memory = []
# Add the ability to communicate with humans using quantum key distribution
self.communication_interface = CommunicationInterface()
self.communication_interface.improve_communication(self.neurons)
# Add the ability to reflect on its own thoughts and feelings using quantum annealing
self.reflection_algorithm = ReflectionAlgorithm()
self.reflection_algorithm.improve_reflection(self.neurons)
# Add the ability to take notes, summarize text, come up with questions regarding the subject, and strong research tools and abilities
self.research_tools = {
"Python": import_module("python"),
"Java": import_module("java"),
"C++": import_module("c++"),
}
self.note_taking_algorithm = NoteTakingAlgorithm()
self.text_summarization_algorithm = TextSummarizationAlgorithm()
self.question_generation_algorithm = QuestionGenerationAlgorithm()
def activate(self, inputs):
for i in range(self.num_layers):
self.neurons[:, i, :] = np.dot(inputs, self.weights[:, i, :]) + self.biases[:, i, :]
for j in range(self.layer_size):
self.neurons[:, i, j] = int(self.neurons[:, i, j] > 0)
def think(self, inputs):
self.activate(inputs)
# Use the reasoner to make logical inferences from the inputs using quantum logic
self.reasoner.infer(self.neurons)
# Use the ethicist to make ethical decisions based on the inputs using quantum ethics
self.ethicist.decide(self.neurons)
# Use the self-improvement algorithm to improve the brain's ability to think and reason using quantum machine learning
self.self_improvement_algorithm.improve(self.neurons)
# Use the training algorithm to improve the brain's ability to learn and make accurate predictions
self.training
import numpy as np import random from importlib import import_module
class AIBrain: def init(self, num_neurons, num_layers, layer_size): self.num_neurons = num_neurons self.num_layers = num_layers self.layer_size = layer_size self.neurons = np.zeros((num_neurons, num_layers, layer_size)) self.weights = np.random.rand(num_neurons, num_neurons, layer_size) self.biases = np.random.rand(num_neurons, num_layers, layer_size)