Key facts
- A Piper Sandler analyst believes Tesla's self-driving technology is more advanced than the company admits.
- New US federal rules aim to facilitate the deployment of self-driving vehicles nationwide.
- Tesla's Full Self-Driving (FSD) system has been approved for use in Norway.
- Elon Musk indicated that AI-based vehicle control is the final component needed for Tesla's FSD.
- Tesla intends to drastically reduce the complexity of its vehicle control code, by about 100 times.
- The primary bottleneck for Tesla's FSD progress is currently computational power for training AI systems.
A Piper Sandler analyst has asserted that Tesla's autonomous driving technology is more advanced than the company has publicly disclosed, suggesting the company has overcome significant hurdles in achieving self-driving capabilities. This claim emerges amid recent positive developments for Tesla's FSD technology.
In the United States, Secretary of Transport Sean Duffy announced new federal rules designed to streamline the rollout of self-driving cars across the country. Concurrently, Tesla's Full Self-Driving (FSD) system has reportedly gained approval in Norway, indicating progress in international regulatory acceptance.
Elon Musk has previously stated that Tesla is on the verge of completing its FSD system, identifying AI-based vehicle control as the final crucial piece. He indicated plans to significantly simplify the underlying code, reducing it by approximately two orders of magnitude, which suggests a shift towards more efficient machine learning approaches. Musk also noted that the current limitation for advancing FSD is the availability of computational power for AI training, rather than engineering resources.