Users of Tesla's Full Self-Driving (FSD) Beta and Autopilot are likely to see even more rapid improvements to their advanced driver assistance systems in the coming months. This was hinted at recently by CEO Elon Musk, who noted in his post on X that Tesla is no longer subject to the compute constraints of his AI training.
Musk's comments were posted in response to prominent technology author and futurist Robert Scoble, who said in a post about X that Tesla AI is “hugely undervalued.” Scoble also argued that anyone who thinks Tesla is competing in the self-driving space is wrong. Scoble's comments carry some weight, considering he has been in the technology field since 1993 and has experience with self-driving technology.
Mr. Musk is responsepointed out that most people simply don't understand the potential of Tesla's AI efforts. He also noted that improvements in the company's advanced driver-assistance systems will accelerate more quickly because Tesla is no longer constrained by computing. “That's right, 99% of people don't know anything. And now that the compute constraints for AI training are removed, improvements will accelerate dramatically,” Musk wrote.
Mr. Musk's latest information was received with great excitement by electric car and Tesla enthusiasts, many of whom were waiting for the electric car manufacturer to announce such an update. Training FSD and Autopilot neural networks requires significant amounts of compute. This is no doubt one of the reasons Tesla itself drove the development of its Dojo supercomputer and the company invested significant resources in its Nvidia-powered AI cluster.
With this in mind, Elon Musk's recent updates on X suggest that either Tesla's Nvidia training compute cluster is working very well or Project Dojo is achieving notable utility. There may be. All of these possibilities suggest accelerated updates and optimizations for advanced driver assistance systems, which could be good news for Tesla's FSD and Autopilot efforts.
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