According to Sawyer Merritt, Waymo has unveiled a comprehensive AI strategy in its latest blog post, demonstrating how its unified world-model, the Waymo Foundation Model, enables faster expansion of autonomous ride services while prioritizing safety (source: Waymo blog, Dec 2025). By integrating a 'Think Fast/Think Slow' architecture that blends rapid sensor fusion with deep semantic reasoning, Waymo’s ecosystem goes beyond just building a smart driver. The system incorporates a closed-loop simulator for rigorous training and a critic module for ongoing evaluation. This holistic approach underpins a continuous learning cycle, where real and simulated driving data refine AI models and ensure only safety-validated updates are deployed. As a result, Waymo has surpassed 100 million fully autonomous miles and reports a more than ten-fold reduction in severe-injury crashes compared to human drivers, underscoring the business impact and scalability of safe AI in autonomous transportation (source: Waymo blog, Dec 2025).

According to Sawyer Merritt on Twitter, a Tesla equipped with Full Self-Driving (FSD) V14 completed 3,000 miles with zero miles driven by a human and no interventions, across 78 navigation destinations—10% city and 90% highway. This performance demonstrates significant advancements in AI-powered autonomous driving, highlighting the reliability of Tesla's latest AI software in real-world mixed traffic scenarios. Such results reinforce the growing business opportunities in autonomous vehicle deployment and AI-driven mobility solutions, particularly for ride-hailing, logistics, and fleet management sectors (source: Sawyer Merritt, Twitter).

According to Sawyer Merritt, The Boring Company has begun offering self-driving Tesla Model Y rides to the public within the Las Vegas Loop tunnel, marking a significant milestone for AI-powered autonomous vehicle deployment in public transportation (source: Sawyer Merritt, x.com/alifarhat6_ali/status/1981548014041788769). This development demonstrates the practical application of advanced AI and machine learning algorithms for real-world urban mobility, reducing operational costs and increasing efficiency. The integration of Tesla's Full Self-Driving technology in a controlled tunnel environment provides a unique business opportunity for smart city infrastructure and scalable, AI-driven transportation solutions. Companies in the autonomous vehicle sector can observe valuable insights into regulatory adoption, user acceptance, and commercial viability in similar urban environments.