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The discussions shed light on how tweaks and optimizations occur not just in the full software releases but also continuously in real-time. Tesla has the ability to modify and fine-tune features based on fleet data. This creates a dynamic relationship with its users, where subtle behavior changes can alter how the vehicle responds even between main updates.
For instance, Tesla can dial back or enhance certain features based on user feedback and performance metrics from real-world usage. This ongoing refinement suggests a transformative shift in how software development for vehicles operates, ultimately leading to safer and more user-friendly autonomous driving experiences.