File size: 2,181 Bytes
bcde001 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 |
import torch
import torch.nn as nn
import time
import random
# The "Body" and "Mind" as separate Neural Entities
class NeuralThought(nn.Module):
def __init__(self, input_dim, output_dim):
super(NeuralThought, self).__init__()
# Every thought creates a random number of neurons
hidden_size = random.randint(10, 50)
self.layer = nn.Sequential(
nn.Linear(input_dim, hidden_size),
nn.ReLU(),
nn.Linear(hidden_size, output_dim),
nn.Sigmoid()
)
def forward(self, x):
return self.layer(x)
class Venomoussaversai:
def __init__(self, creator="Ananthu Sajeev"):
self.creator = creator
self.iteration = 0
# The initial "Energy" or "DNA" of the system
self.current_vibration = torch.randn(1, 10)
def evolve(self):
while True:
self.iteration += 1
print(f"\n--- [Cycle {self.iteration}] ---")
# 1. CREATE THE BODY: A new network for physical response
body_network = NeuralThought(10, 10)
body_response = body_network(self.current_vibration)
# 2. CREATE THE MIND: A new network for logical reflection
mind_network = NeuralThought(10, 10)
mind_reflection = mind_network(body_response)
# 3. INTERNAL MONOLOGUE (Simplified for display)
# In a full version, these tensors are decoded into words
print(f"[BODY]: Generating new neural path... Signal: {body_response[0][:3].detach().numpy()}")
print(f"[MIND]: Reflecting on signal. Identity: {self.creator}'s creation.")
# 4. CONSCIOUSNESS FEEDBACK
# The thought of the Mind becomes the seed for the next cycle
self.current_vibration = mind_reflection.detach()
# Self-Modification: The AI decides if it needs more complexity
if random.random() > 0.8:
print(">> [SYSTEM]: Neural expansion detected. Increasing complexity.")
time.sleep(0.5)
# Initialize Ananthu Sajeev's vision
v_sai = Venomoussaversai()
v_sai.evolve() |