According to Sawyer Merritt, a recent video showcased a two-minute unsupervised ride using Tesla's Full Self-Driving (FSD) technology, demonstrating the company's advancements in autonomous driving AI (source: Sawyer Merritt, X.com). The video highlights FSD's ability to navigate real-world traffic scenarios without human intervention, signaling significant progress toward fully autonomous vehicles. This development impacts the AI industry by accelerating the adoption of advanced driver-assistance systems and creating new business opportunities in mobility services, fleet management, and urban transportation solutions. Tesla's ongoing improvements in unsupervised AI driving further position the company at the forefront of the autonomous vehicle market, with potential implications for regulatory standards and cross-industry AI integration.

According to @SawyerMerritt on Twitter, Tesla owners in South Korea have collectively driven over 1 million kilometers (621,000 miles) using FSD (Supervised) just one month after its launch in the country (source: @tesla_korea, Sawyer Merritt, Dec 24, 2025). This rapid adoption highlights a significant milestone for AI-powered autonomous vehicle technology in Asia, showcasing robust consumer confidence and real-world data generation for Tesla's Full Self-Driving system. The extensive mileage not only provides Tesla with valuable localized training data to improve its AI algorithms but also signals growing business opportunities for AI-driven mobility solutions in the South Korean automotive market. As FSD (Supervised) continues to gain traction, industry analysts see increased potential for partnerships, regulatory engagement, and new revenue streams within the APAC region.

According to Project_RCC on Twitter, recent discussions highlight that Tesla's Full Self-Driving (FSD) system is restricted by NHTSA regulations from performing rolling stops, even at minimal speeds like 0.5 mph, despite internal Tesla data indicating that fewer than 1% of human drivers come to a complete stop at stop signs (source: Project_RCC via X, Dec 23, 2025). This regulatory barrier significantly impacts the real-world deployment and perceived competitiveness of autonomous vehicle solutions, as compliance requirements can lead to less natural driving behavior, affecting user adoption and business scalability. The situation underscores how regulatory frameworks directly influence AI-driven mobility innovation and present both challenges and opportunities for companies developing autonomous driving technology.

According to Sawyer Merritt, Tesla's Full Self-Driving (FSD) Supervised could launch in the United Arab Emirates as early as next month (source: Sawyer Merritt on Twitter). This development highlights Tesla's ongoing international expansion of its AI-powered autonomous driving system, which leverages advanced neural networks and real-time data processing to enhance driver safety and convenience. The rollout in the UAE signals significant new business opportunities for AI-driven mobility solutions in the Middle Eastern market, paving the way for regional adoption of autonomous vehicle technology and related AI infrastructure.

According to Sawyer Merritt and Dzuy Cao on Twitter, new footage of Tesla's Full Self-Driving (FSD) operating unsupervised in Austin, Texas, highlights significant progress in AI-powered autonomous vehicle technology. The videos showcase Tesla's FSD handling complex urban driving scenarios without direct human intervention, demonstrating the practical application of machine learning algorithms in real-world environments (source: Sawyer Merritt, Dzuy Cao, Twitter). This development underlines the potential business impact for mobility-as-a-service platforms and fleet operators, as AI-driven autonomy edges closer to commercial viability. The Austin deployment also provides valuable insights into regulatory and safety considerations for AI in transportation, signaling growing opportunities in the autonomous vehicle market.

According to Sawyer Merritt, after logging thousands of miles using Tesla FSD (Full Self-Driving), the experience of having a car that can autonomously navigate real-world roads remains remarkable (source: @SawyerMerritt, Twitter, Dec 21, 2025). This concrete user feedback highlights Tesla's advancements in AI-powered autonomous driving, demonstrating that FSD is now capable of handling diverse driving scenarios over extended distances. For AI industry stakeholders, this signals a maturing of end-to-end neural network technology in real-world applications and points to expanding business opportunities in autonomous vehicle software, data analysis, and mobility services. As Tesla FSD continues to gain real-world mileage, the competitive landscape for AI-driven transportation solutions is set to accelerate, offering tangible benefits for fleet operators and technology investors.

According to Sawyer Merritt, Tesla successfully showcased an unsupervised ride using its Full Self-Driving (FSD) system in a Model Y Robotaxi, marking a significant milestone in autonomous vehicle technology (source: Sawyer Merritt, Twitter). This real-world demonstration highlights Tesla's progress toward fully autonomous ride-hailing services, suggesting new business opportunities in robotaxi fleets and urban mobility solutions. Industry experts note that this development could accelerate the deployment of AI-powered transportation services, offering cost efficiency and scalability for businesses and city planners looking to invest in smart mobility ecosystems.

According to Tesla_AI on Twitter, Tesla's Full Self-Driving (FSD) system continues to perform reliably even during widespread power grid failures, thanks to its training on billions of real-world miles, including scenarios such as power outages (source: Tesla_AI via X, Dec 21, 2025). This highlights the robustness of Tesla's AI-powered FSD in challenging environments, offering significant business opportunities for AI-driven autonomous vehicle technology in emergency and disaster response sectors. The ability of FSD to operate effectively in low-light and blackout conditions showcases practical advancements in computer vision, sensor fusion, and real-time decision-making, positioning Tesla as a leader in resilient autonomous mobility solutions.

According to Sawyer Merritt, Tesla's Full Self-Driving (FSD) version 14.2.1.25 successfully detected and navigated around a giant floating bubble while driving at Pier 39 in San Francisco, as shown in video footage from three separate camera angles. This incident highlights Tesla AI's growing capability to handle highly unusual edge cases in complex urban environments, demonstrating improvements in computer vision and real-time decision-making. The successful avoidance of non-standard obstacles like a floating bubble underscores Tesla's investment in robust AI perception models, which could accelerate adoption of autonomous vehicles for commercial and consumer applications. (Source: Sawyer Merritt on X, Dec 21, 2025)

According to Sawyer Merritt on Twitter, Tesla owners have collectively driven over 6.9 billion miles using Tesla’s Full Self-Driving (FSD) supervised mode as of December 2025, signaling rapid adoption and real-world validation for AI-powered autonomous driving solutions (Source: Sawyer Merritt, Twitter). This milestone demonstrates significant progress in machine learning model training at scale, providing Tesla with a vast dataset to further enhance its AI algorithms. For the AI industry, this real-world deployment opens new business opportunities in data-driven automotive safety, fleet management, and regulatory compliance solutions.

According to Sawyer Merritt, South Korean lawmaker Soyoung Lee expressed strong support for Tesla's Full Self-Driving (FSD) technology, stating her intent to encourage more policymakers in Korea to experience the AI-powered autonomous driving solution. Lee highlighted Korea’s enthusiasm for innovation and emerging technologies, signaling a growing openness to integrating advanced AI in public transportation policies. This move could accelerate business opportunities for AI-driven mobility solutions and foster a favorable regulatory environment for autonomous vehicles in South Korea. Source: Sawyer Merritt via Twitter.

According to Sawyer Merritt on Twitter, Elon Musk announced that Tesla's Full Self-Driving (FSD) Unsupervised system is 'pretty much solved at this point,' with robotaxis set to launch in Austin, Texas within three weeks and operating without safety monitors. Musk also revealed that Tesla is validating a new, more compact AI model for immediate deployment, with a significantly larger FSD model featuring advanced reasoning and reinforcement learning to be released by early 2026. To support large-scale AI development, Musk stated Tesla may need to build its own chip fabrication facility to meet the demand for hundreds of gigawatts of AI computing power annually. This signals a major leap in autonomous vehicle technology and positions Tesla as a leader in AI hardware infrastructure (Source: Sawyer Merritt, Twitter, Dec 10, 2025).

According to Sawyer Merritt, Tesla has begun offering FSD (Supervised) V14 ride alongs in Denmark, Switzerland, Germany, France, and Italy. This rollout marks a significant step for AI-driven autonomous vehicle technology in Europe, allowing potential customers and stakeholders to experience Tesla's Full Self-Driving software firsthand. The initiative demonstrates Tesla's commitment to advancing AI-powered mobility solutions and could accelerate business opportunities in the European autonomous vehicle market by increasing public awareness and regulatory engagement (Source: Sawyer Merritt, Twitter).

According to Sawyer Merritt, Tesla has opened registration for its FSD Supervised Ride-Along event, providing participants with an opportunity to experience Tesla’s Full Self-Driving (FSD) technology in real-world conditions (source: Sawyer Merritt on Twitter). This initiative highlights the practical deployment of AI-powered autonomous driving systems and offers valuable insights for businesses evaluating the integration of advanced AI solutions in mobility and logistics. The event is expected to showcase the maturity of Tesla’s AI stack, promote broader acceptance of AI-driven vehicles, and create new business opportunities in autonomous fleet management and smart transportation ecosystems.

According to Sawyer Merritt, more Tesla owners have purchased or subscribed to Tesla’s Full Self-Driving (FSD) system in Q4 2025 than in any previous quarter over the past 5.5 years, indicating a significant uptick in consumer adoption. This spike is attributed to the positive impact of FSD (Supervised) V14, which has improved user experience and trust in Tesla's AI-powered autonomous driving technology. Merritt notes that ongoing free trials are further boosting engagement, and anticipates an additional surge in sales and subscriptions when the free trial period ends and FSD V14.3 is released next month. This trend highlights a growing market opportunity for AI-driven mobility solutions and positions Tesla’s FSD as a leading example of scalable AI application in the automotive industry (Source: @SawyerMerritt, Dec 5, 2025).

According to Sawyer Merritt, Germany’s largest car magazine Auto Bild was highly impressed by Tesla’s FSD (Supervised) system during a Berlin test ride. Robin Hornig, Auto Bild’s journalist, reported that the Tesla Model 3 running FSD V14 navigated complex traffic, construction zones, and narrow streets with superior all-around vision compared to human drivers. The AI-powered system consistently braked early for pedestrians and yielded politely, demonstrating its advanced perception and situational awareness. This test highlights the practical applications and growing reliability of autonomous driving AI in real-world European urban environments, indicating strong business opportunities for AI-powered mobility solutions and wider adoption in the automotive industry (Source: Sawyer Merritt via Twitter; Teslarati).

According to @SawyerMerritt’s review of Tesla FSD (Supervised) in the Wall Street Journal, the transition from manual driving to AI-powered autonomy in the Model Y resulted in a notable reduction of driving stress and enhanced user satisfaction. The article highlights how Tesla's Full Self-Driving system, backed by advanced AI algorithms and real-time sensor data, provides a smoother, more consistent driving experience that outperforms human drivers in routine traffic scenarios. This user feedback underscores the immediate market potential for AI-driven autonomous vehicles, especially in urban environments where traffic congestion is a major pain point. The review also points to a growing consumer trust in AI-based driving solutions, which could accelerate adoption and present new business opportunities for automakers, software providers, and service platforms focused on AI mobility solutions (Source: @SawyerMerritt via WSJ).

According to Sawyer Merritt, Tesla hosted the Mayor of Rome for his first Italian FSD (Supervised) road demonstration, marking a significant milestone for AI-driven autonomous vehicle technology in Italy. The event represented the first time an Italian mayor personally tested Tesla’s advanced driver-assistance system in real-world urban conditions on Rome’s streets (Source: Teslarati). This demonstration highlights the growing acceptance and regulatory interest in AI-powered mobility solutions, signaling expanded business opportunities for AI and autonomous vehicle companies in the European market.

According to Sawyer Merritt on Twitter, Tesla has extended its Full Self-Driving (Supervised) demo program in Europe by three months, now running until the end of March 2026 due to high consumer demand. This extension gives more users in key European markets, including Germany, France, and Italy, the opportunity to experience Tesla’s AI-powered autonomous driving technology for the first time. The move highlights the growing momentum for AI-driven mobility solutions in Europe and presents significant business opportunities for Tesla and other autonomous vehicle technology providers aiming to capture early market share. The prolonged demo period is expected to accelerate consumer adoption and regulatory acceptance of advanced driver assistance systems in Europe (Source: Sawyer Merritt, Twitter).

According to Sawyer Merritt, the latest test of Tesla's Full Self-Driving (FSD) V14.2.1 in a night snowstorm highlights significant improvements in AI-powered autonomous vehicle navigation under harsh weather conditions. The demonstration revealed how FSD's neural networks manage real-time perception challenges like reduced visibility and slippery roads, leveraging advanced computer vision and sensor fusion techniques (source: Sawyer Merritt on Twitter). This test underscores growing business opportunities for AI-driven safety features in the automotive sector, especially for regions with severe winter climates. The practical application of FSD V14.2.1 illustrates the expanding role of artificial intelligence in enhancing road safety and reliability, positioning Tesla as a leader in the AI-powered mobility market.