I'm training with grade school math now ... but i think you load it up with fundamentals it will rationalise using the curve points .. I have not yet trainedup a model and figured out the encoding decoding beyond what gpt generated ... it's relatively simple can prompt copilot to implement a pyhton version
Discussion
basic #ecai implementation in python
```
import numpy as np from cryptography.hazmat.primitives.asymmetric import ec from cryptography.hazmat.primitives import serialization
class ECAI: def init(self, curve=ec.SECP256R1()): self.private_key = ec.generate_private_key(curve) self.public_key = self.private_key.public_key()
def serialize_public_key(self):
return self.public_key.public_bytes(
encoding=serialization.Encoding.PEM,
format=serialization.PublicFormat.SubjectPublicKeyInfo
)
def compute_intelligence(self, input_vector):
"""Apply elliptic curve transformations to input data."""
point = self.private_key.public_key().public_numbers()
transformed_vector = [(x * point.x) % point.y for x in input_vector]
return transformed_vector
def verify_computation(self, result_vector, input_vector):
"""Verifies deterministic structure of computed intelligence."""
expected_vector = self.compute_intelligence(input_vector)
return expected_vector == result_vector
Example usage
ecai = ECAI() input_data = [10, 20, 30, 40] result = ecai.compute_intelligence(input_data) verification = ecai.verify_computation(result, input_data)
print("ECAI Computed Intelligence:", result) print("Verification Status:", verification)
```