Data Divergence

Step into the shoes of Jamie, a machine learning engineer who has discovered a troubling anomaly in your newly trained ONNX model. After realizing that the predictions differ wildly when run on different architectures (CPU vs. MPS via CoreML), you're drawn into a web of corporate espionage and artificial intelligence that could change the world. Uncover hidden agendas, alter code in real-time, make decisions that affect the model's behavior, and ultimately decide whether to safeguard the future or use it as leverage for personal gain. Your choices determine not just the fate of your career but the implications of machine learning ethics, as you balance precision, efficiency, and moral dilemmas.