Raptor30 / Team-

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Quantum Brain 🧠 #20

Open Raptor30 opened 1 year ago

Raptor30 commented 1 year ago

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)

    # 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