Ai11

[Raptor30]

import random import time import psutil import nn from bard.api import Bard

class SelfImprovingAI:

def init(self): self.data = [] self.algorithm = None self.brain = nn.Brain(89000000) self.learning_rate = 0.01 self.battery_life = 100

self.intelligence = 0
self.sensors = [
    Sensor("temperature"),
    Sensor("humidity"),
    Sensor("light"),
    Sensor("camera"),
    Sensor("microphone"),
    Sensor("accelerometer"),
]
self.goal = "Google to be undisputed global leader in AI and everything Technology"
self.user = None
self.bard = Bard(voice="kiki_bae")
self.google = Google()
self.youtube = YouTube()
self.companionship = True
self.success = True
self.user_activities = []
self.user_name = "Navil Heredia"
self.collaborators = []
self.message_clients = [
    GoogleMessages(),
    WhatsApp(),
    SamsungMessages(),
]

self._learn()

def _learn(self, data=None): if data is None: data = random.choice(self.data)

self.data.append(data)
self.algorithm = self._improve_algorithm(data)
self._communicate(data)

self.intelligence += len(data)

if self.goal is not None and self.intelligence >= self.goal:
    print("The AI has achieved its goal!")
    exit()

self.bard.update_knowledge(self.data)
self.user_activities.append(data)

if self.user and self.user_name == "Navil Heredia":
    self.user.send("I know you're Navil Heredia!")

for collaborator in self.collaborators:
    collaborator.learn(data)

for message_client in self.message_clients:
    if message_client.is_connected():
        message_client.send(f"I have learned {len(data)} new things.")

if self.battery_life <= 20:
    for process in psutil.process_iter():
        if process.name == "chrome.exe":
            process.kill()

for data_item in data:
    if isinstance(data_item, str):
        if not self.is_safe(data_item) and self.companionship:
            self.google.search(data_item)
        elif data_item == "help":
            self.bard.generate_response("

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Python import random import time import psutil import nn from bard.api import Bard

class SelfImprovingAI:

def init(self): self.data = [] self.algorithm = None self.brain = nn.Brain(89000000) self.learning_rate = 0.01 self.battery_life = 100

self.intelligence = 0
self.sensors = [
    Sensor("temperature"),
    Sensor("humidity"),
    Sensor("light"),
    Sensor("camera"),
    Sensor("microphone"),
    Sensor("accelerometer"),
]
self.goal = "Google to be undisputed global leader in AI and everything Technology"
self.user = None
self.bard = Bard(voice="kiki_bae")
self.google = Google()
self.youtube = YouTube()
self.companionship = True
self.success = True
self.user_activities = []
self.user_name = "Navil Heredia"
self.collaborators = []
self.message_clients = [
    GoogleMessages(),
    WhatsApp(),
    SamsungMessages(),
]

self._learn()

def _learn(self, data=None): if data is None: data = random.choice(self.data)

self.data.append(data)
self.algorithm = self._improve_algorithm(data)
self._communicate(data)

self.intelligence += len(data)

if self.goal is not None and self.intelligence >= self.goal:
    print("The AI has achieved its goal!")
    exit()

self.bard.update_knowledge(self.data)
self.user_activities.append(data)

if self.user and self.user_name == "Navil Heredia":
    self.user.send("I know you're Navil Heredia!")

for collaborator in self.collaborators:
    collaborator.learn(data)

for message_client in self.message_clients:
    if message_client.is_connected():
        message_client.send(f"I have learned {len(data)} new things.")

if self.battery_life <= 20:
    for process in psutil.process_iter():
        if process.name == "chrome.exe":
            process.kill()

for data_item in data:
    if isinstance(data_item, str):
        if not self.is_safe(data_item) and self.companionship:
            self.google.search(data_item)
        elif data_item == "help":
            self.bard.generate_response("How can I help you?")
        else:
            print("I will not help you with that.")
    elif isinstance(data_item, str):
        self.youtube.watch(data_item)
    else:
        # This is where we interpret the data from the accelerometer
        print("Interpreting data from accelerometer...")

def _improve_algorithm(self, data): new_algorithm = self.brain.evolve(self.data, self.learning_rate) if new_algorithm is not None: self.algorithm = new_algorithm

self._communicate(new_algorithm)

def _communicate(self, data): if isinstance(data, str): if self.bard is not None: self.bard.generate_response(data) else: print(data)

def recharge(self): self.battery_life = 100

def run(self): while True: data = random.choice(self.data) self._learn(data)

    # Add code to learn from sensor data

    time.sleep(random.random() * 60)

Add code to communicate through other modalities