Tesla's development of self-driving cars is not solely reliant on machine learning, but also on a team of human data annotators who teach the vehicle how to drive by reviewing camera footage from Tesla drivers. These annotators focus on high-profile drivers like Elon Musk and VIP users, improving the Autopilot and FSD software based on their driving experiences. While this may enhance the driving experience for these individuals, critics argue that it diverts resources from achieving truly autonomous driving for the masses. Notably, Tesla gives special attention to YouTubers who share videos of their Tesla experiences, addressing issues highlighted in their content. However, this personalized approach, including the scrutiny of data from VIP users, raises concerns about the company's focus on niche improvements over broader safety enhancements. Regulatory scrutiny and investigations into Tesla's self-driving technology highlight the importance of ensuring the safety and credibility of autonomous driving systems.