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Here is my point through the filter of ChatGPT asked to state it nicely. I'm sorry if it comes off as a rude. If you propose a theory that suggests overconfident individuals are taking reckless actions, compromising safety, it's crucial to treat that theory as a hypothesis and extrapolate conjectures based on it. For instance, if your theory revolves around adopting vision-only technology leading to increased accidents, this should be reflected in the accident rates per mile. However, current data indicates a decrease in accidents per mile, which, while not conclusively disproving your theory, serves as strong evidence against it. Dismissing such reasoning by claiming naivety on the part of Tesla supporters is unconvincing. As a Tesla owner, I have experienced the car's safety features firsthand. For example, I have noticed the vehicle slows down when passing under an underpass, and this improved after the update, making it safer. Furthermore, it's essential to consider the full range of evidence available, not just a specific instance. One such piece of evidence is Karpathy's CVPR talk, which demonstrates accuracy improvements through video evidence. It's challenging for your argument when you accept Karpathy's comments only when they align with your intuition but dismiss them when they contradict it, especially when the latter is supported by video and metrics and the former alignment with intuition was a misunderstanding of Karpathy on your part. Additionally, you're overlooking evidence from sources not affiliated with Tesla. For instance, safety assessments by NHTSA and regulatory agencies in other countries consistently rank Tesla as one of the safest cars. While the electric design contributes to this, it remains an issue for your argument, as Tesla's top safety rankings are confirmed by multiple independent bodies. When theorizing about reckless overconfidence, receiving accolades for safety doesn't support the idea that these individuals are taking actions that endanger others. |