Tesla’s Full Self-Driving (FSD) software has undergone a significant transformation with the introduction of Version 12, moving away from traditional human-written code to advanced AI learning. Owners have now had the opportunity to experience the real-world performance of the updated semi-autonomous software, and the feedback is mixed.
The shift from Version 11 to Version 12 represents a departure from human-coded lines to a system that utilizes advanced AI learning to emulate the driving behavior of proficient human drivers. Tesla owners, including YouTubers from AI Drivr and WholeMarsBlog, have collaborated to showcase the capabilities and limitations of FSD Version 12, providing insights into its performance compared to Version 11.
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The key observation from users is a significant improvement in the smoothness and naturalness of the system’s operation. Version 12 is described as feeling like a competent human driver taking control, eliminating the constant calculation perception present in Version 11. The updated software behaves confidently and naturally in various scenarios.
However, challenges persist in certain areas. Notably, Version 12 struggles with stop signs, displaying a delayed approach to coming to a complete stop, unlike the typical behavior of most human drivers. This cautious approach, while aligning with regulatory expectations, may be perceived as unnatural and potentially unpredictable, raising concerns about safety. Additionally, the system faces difficulties with certain traffic control elements, such as parking bollards and crosswalk signs.
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Despite these challenges, AI Drivr emphasizes that FSD Version 12 achieves its performance with only a year of in-house training at Tesla. The expectation is that ongoing usage and feedback from users will contribute to further refinements and improvements in the system’s capabilities.
