Teslas Are Learning to Drive Like Humans: A Peek Into The Future With FSD V12.3.6
For those intrigued by the relentless stride of technology, especially in the automotive realm, the recent insights shared by Morgan Stanley's Adam Jonas on Tesla's Full Self-Driving (FSD) system post his experience with version 12.3.6, are a testament to how rapidly we are advancing towards a future where cars will not just drive themselves but will also learn and adapt like humans.
Jonas's firsthand experience with Tesla's evolving FSD technology unveils significant improvements, illustrating a system that's not just about following rules but also about interpreting and reacting to real-world scenarios with a near-human understanding and reflexivity.
Starting from version 12.3.4 to the latest, 12.3.6, the advancements are not only visible but felt. A technology that was once questioned for its practicality, FSD is proving to be more cautious when necessary, and assertive when it's needed, displaying a balance that even the most experience drivers sometimes fail to achieve. It's a blend of obedience and instinct, coded into ones and zeros, evolving with every update.
The soon-to-come version 12.4 promises even greater leaps, with most compute limitations expected to be a thing of the past. This version is anticipated to harness the full potential of machine learning to a degree where cars learn from 'learning' itself, transcending traditional programming barriers of label-based learning and stepping into a realm where the machine's perception evolves with every mile driven.
Jonas equates this to teaching a robot to pick up a red pen and balance it. It's not about the task but the understanding and the execution that comes without explicit instructions but through accumulated experiences, a phenomenon Tesla seems to be inching closer to achieving with its FSD suite.
Tesla's vast fleet, now over 5.5 million cars strong and growing, serves as a living laboratory, where each car contributes to a collective learning pool that Tesla harnesses. It's a network that's driving towards accumulating enough data to possibly convince regulatory bodies worldwide of autonomous cars' safety and reliability.
With Jonas's estimate that Tesla's fleet could be tracking 100 billion miles collectively per year by late 2025, the scale of data and the learning derived from it is unimaginable. Such a mammoth dataset is pivotal, not just for refining algorithms but for championing the cause of full autonomy on regulatory and public perception fronts.
Indeed, the journey from the first mile to the billionth is filled with challenges, both technical and regulatory. Yet, the insights shared by Jonas following his experience with Tesla's FSD v12.3.6 hint at a future that's not just autonomous but also adaptive, intuitive, and, surprisingly, very human.
As we stand on the threshold of this new era, one thing is clear - the road ahead for Tesla and its FSD technology is as much about transcending technological barriers as it is about redefining our relationship with mobility. A future where cars understand us, perhaps even better than we understand ourselves, is not just a possibility; it's on the horizon.