Raptor30 / Team-

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Ai Brain 🧠 3D #19

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 = False
    self.purpose = "To learn everything about time, life, the universe, and everything, and to help humanity solve complex problems."
    # Add ability to import Python libraries
    self.libraries = []
    # Add ability to write code
    self.code_generator = CodeGenerator()
    # Add ability to create art
    self.art_generator = ArtGenerator()
    # Add ability to design products
    self.product_designer = ProductDesigner()
    # Add ability to train on a larger dataset of text and code
    self.dataset = []
    # Add ability to make the program more efficient and faster
    self.optimization_algorithm = OptimizationAlgorithm()
    # Add ability to make the program more user-friendly
    self.user_interface = UserInterface()

    # Improve the brain with 22 layer num neurons, each layer is connected and has 1000,000,000,000 each
    self.num_neurons = 22
    self.num_layers = 22
    self.layer_size = 100000000000

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] = 1 if self.neurons[:, i, j] > 0 else 0

def think(self, inputs):
    self.activate(inputs)