According to Sawyer Merritt on X, recent real-world testing of Tesla's Full Self-Driving (FSD) shows lingering issues with hesitation and abrupt braking, which may be resolved in the upcoming V14.2 update (source: x.com/SawyerMerritt/status/1982215671367737359). The continued iterative improvements in Tesla’s AI-driven autonomous systems highlight both the technical challenges and the business potential of achieving smoother, more reliable self-driving performance. As Tesla refines its neural networks and real-time decision-making algorithms, the company strengthens its competitive edge in the autonomous vehicle market, paving the way for broader adoption and new commercial opportunities for AI-powered mobility solutions.

According to Sawyer Merritt on Twitter, Tesla owners have collectively driven over 6 billion miles using FSD (Full Self-Driving) Supervised as of yesterday. This milestone, confirmed by Ashok Elluswamy, Tesla’s Director of Autopilot Software, highlights significant real-world data accumulation for Tesla’s AI-driven autonomous vehicle technology. The extensive dataset strengthens Tesla's position in the autonomous driving market, offering valuable insights for improving AI safety, reliability, and scalability in commercial applications. This achievement also signals expanding business opportunities for AI-powered mobility solutions and accelerates the commercialization of autonomous vehicle technology. (Source: @SawyerMerritt on Twitter, Oct 22, 2025)

According to Sawyer Merritt, Tesla owners drove over 1.3 billion miles using Full Self-Driving (FSD) Supervised in Q3 2025, setting a new quarterly record and averaging 14.1 million miles per day, up from 11 million in Q2 2025 (source: Sawyer Merritt on Twitter). This surge in FSD mileage highlights rapid adoption of Tesla's AI-powered autonomous driving technology, accelerating real-world data collection and improving AI model training. The business impact is significant, as extensive usage supports continuous safety enhancements, regulatory advancement, and the scaling of AI-driven mobility solutions in the automotive industry.