According to Sawyer Merritt on Twitter, Elon Musk stated that approximately 10 billion miles of training data is required to reach safe unsupervised self-driving for Tesla vehicles. Currently, Tesla has accumulated around 7.18 billion miles of real-world driving data, which forms the foundation for its AI-driven autonomous vehicle system. This substantial data requirement highlights both the complexity of real-world environments and the AI industry's ongoing push for large-scale data collection to improve self-driving safety. Businesses in the AI automotive sector can interpret this as an indicator that achieving reliable unsupervised driving is closely tied to massive data acquisition and advanced neural network training, opening opportunities for companies specializing in data annotation, sensor technologies, and AI safety validation (Source: Sawyer Merritt on Twitter, quoting Elon Musk: https://x.com/elonmusk/status/2009161554785128729).