According to Sawyer Merritt, Tesla has unveiled a patented technology designed to extend the operational life of HW3 vehicles by enabling modern, high-precision AI models to run on older, lower-precision hardware. Rather than requiring expensive new silicon, Tesla's approach uses advanced mathematical techniques and software to split high-precision data into smaller segments that existing AI3 hardware can process efficiently. This innovation could allow legacy Tesla vehicles to benefit from the latest AI-driven autonomous features, creating new business opportunities in AI software updates and aftersales services for the automotive industry (Source: driveteslacanada.ca/news/tesla-breakthrough-extend-life-of-hw3-cars/).

According to @ai_darpa, the Tesla Model S Plaid, even after 4.5 years since its launch, continues to outperform high-performance vehicles like the Chevrolet Corvette ZR1, showcasing the rapid advancement of AI-driven electric vehicle (EV) technology. This comparison highlights the power of Tesla's proprietary AI software and machine learning systems, which optimize battery efficiency, traction control, and real-time performance adjustments. As demonstrated in real-world tests, these AI advancements enable older EVs to remain competitive against new combustion-engine supercars. For the AI industry, this trend signals a growing market for intelligent automotive software and presents significant business opportunities for AI developers aiming to create next-generation vehicle control and predictive maintenance systems. Source: @ai_darpa (Twitter, Dec 24, 2025)