According to Sawyer Merritt, Tesla has filed an application to expand its AI-driven vehicle rental program to Florida, offering features such as free Supercharging, Full Self-Driving (FSD) capabilities, and unlimited mileage within state borders (source: Sawyer Merritt on Twitter). This strategic move leverages Tesla’s advanced AI for FSD, providing up to 7-day rentals with competitive daily rates starting at $60 for Model 3/Y and $75 for Cybertruck. The integration of FSD highlights practical applications of AI in mobility services, enabling Tesla to differentiate in the growing car rental market, capture additional business opportunities, and showcase its autonomous driving technology to a wider audience.

According to Sawyer Merritt, newly shared footage of Tesla's Full Self-Driving (FSD) system operating in unsupervised mode highlights significant advancements in AI-powered autonomous driving technology (Source: Sawyer Merritt, Twitter, Dec 31, 2025). The video demonstrates the FSD system managing complex traffic scenarios without human intervention, underlining Tesla's push towards Level 4 and Level 5 autonomy. For the AI industry, this progress points to increased demand for advanced computer vision, sensor fusion, and real-time decision-making algorithms. Businesses in the autonomous vehicle ecosystem—such as software providers, chipmakers, and data analytics firms—stand to benefit from the accelerating deployment of AI-driven mobility solutions. This development reinforces the growing commercial viability of fully autonomous vehicles and signals new opportunities for AI integration across transportation and logistics sectors.

According to @SawyerMerritt on Twitter, David Moss has set a new milestone by completing over 10,000 consecutive miles using Tesla’s Full Self-Driving (FSD) Version 14 without any human interventions. This unprecedented achievement demonstrates a significant leap in the reliability and practicality of autonomous vehicle technology for real-world, long-distance travel. Moss is currently on track to complete a historic coast-to-coast drive from Los Angeles to Florida solely on Tesla FSD, which highlights the readiness of advanced driver-assistance systems for commercial deployment and expands business opportunities for autonomous mobility solutions and fleet management. Source: @SawyerMerritt (https://twitter.com/SawyerMerritt/status/2006044764458668214).

According to Sawyer Merritt, Tesla has started rolling out FSD V14.2.2.2, representing the newest iteration of its Full Self-Driving software powered by advanced AI algorithms (source: Sawyer Merritt on Twitter). This update marks a significant step in Tesla’s ongoing effort to enhance autonomous vehicle capabilities, employing deep learning to improve object recognition, decision-making, and real-time navigation. For businesses in the automotive and mobility sectors, this rollout signals expanding opportunities in AI-powered transportation technology, fleet automation, and data-driven mobility solutions. The release also highlights Tesla’s commitment to maintaining its leadership in the AI-driven autonomous driving market.

According to Sawyer Merritt on Twitter, Tesla owners have collectively driven over 7 billion miles using FSD (Full Self-Driving) in supervised mode. This milestone demonstrates Tesla's leadership in deploying large-scale AI-powered autonomous driving systems, offering extensive real-world data for continuous machine learning improvements. For businesses in the AI industry, this data trove opens opportunities for developing advanced driver-assistance algorithms, safety analytics, and commercialization of autonomous vehicle technology, further accelerating innovation and adoption in the automotive AI sector (Source: Sawyer Merritt on Twitter, December 27, 2025).

According to Sawyer Merritt, Tesla has initiated a new paid advertisement on X targeting its Full Self-Driving (FSD) Supervised technology. This marks a strategic move by Tesla to educate consumers and increase adoption of its advanced driver-assistance system, which leverages AI-powered perception and decision-making. The campaign highlights the practical advantages of FSD (Supervised) in real-world driving scenarios, emphasizing enhanced safety, convenience, and the evolving capabilities of Tesla's neural network models. This advertising push signals a broader trend among automotive and tech companies to invest in AI-driven marketing for autonomous vehicle solutions and could accelerate business opportunities in the self-driving car market. (Source: Sawyer Merritt on X)

According to Sawyer Merritt (@SawyerMerritt), a new shuttle service utilizing Tesla vehicles equipped with Full Self-Driving (FSD) Supervised is now operational in Germany, marking the first deployment of such autonomous vehicle technology for public transportation in Europe. The project is a collaboration between Tesla, local municipalities, and regulatory authorities, highlighting the growing practical applications of AI in mobility and transport. This initiative demonstrates the business potential for AI-driven fleet management, urban mobility solutions, and paves the way for further autonomous transportation projects across the European market. (Source: Sawyer Merritt on Twitter)

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).