List of AI News about mobility solutions
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2025-11-22 02:28 |
Tesla FSD V14.2 Achieves 99% Autonomous Driving Rate Over 183 Miles: AI-Powered Self-Driving Milestone
According to Sawyer Merritt, Tesla's Full Self-Driving (FSD) V14.2 (Supervised) completed a 183-mile journey with the car autonomously driving 99.13% of the distance. The route included highways, city streets, and country/dirt roads, with zero human interventions or hesitation issues noted (source: Sawyer Merritt on Twitter, Nov 22, 2025). This verified performance demonstrates significant advancements in AI-powered autonomous vehicle technology, highlighting real-world readiness and business implications for transportation, logistics, and mobility sectors. As FSD reliability improves, market opportunities expand for AI-driven mobility services, fleet management, and smart city integration. |
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2025-11-10 21:55 |
Tesla FSD (Supervised) Showcased on Israeli TV: AI-Powered Autonomous Driving Gains Global Attention
According to Sawyer Merritt on X (formerly Twitter), Tesla's Full Self-Driving (FSD) supervised mode was recently featured on Israeli television, highlighting the increasing interest in AI-powered autonomous driving systems in international markets. The broadcast emphasized the practical applications of Tesla's AI-driven FSD technology and its potential to reshape the automotive industry, particularly in regions prioritizing smart mobility solutions. This coverage not only demonstrates the expanding global footprint of Tesla's AI but also signals emerging business opportunities for advanced driver-assistance systems in the Middle East and beyond (Source: Sawyer Merritt, x.com/NaorBitton/status/1988000724106584559). |
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2025-10-26 01:41 |
Tesla FSD V14.2 Update Targets Hesitation and Brake Issues: AI-Driven Improvements for Autonomous Driving
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. |
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2025-10-22 21:55 |
Tesla FSD Surpasses 6 Billion Miles: Major AI Milestone in Autonomous Driving Technology
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) |
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2025-10-22 20:16 |
Tesla FSD (Supervised) Sets New Record: 1.3 Billion Miles Driven in Q3 2025 Showcases AI Adoption Growth
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. |