- Sun Dec 01, 2024 11:46 am
#3944
Tesla’s “Dumbed-Down” FSD v13: Is This Progress or a Retreat?
Tesla’s latest FSD v13 rollout seems to be a mixed bag, sparking some serious questions about their self-driving ambitions. While features like improved parking capabilities sound promising, the removal of key advancements initially slated for v13 raises eyebrows. Are they genuinely prioritizing a more stable release, or are we witnessing another timeline slip disguised as progress?
The missing 3x model scaling and context length scaling, originally touted as game-changers, now reside in the “upcoming improvements” section. How much confidence should we place in these postponed advancements, and what impact will their absence have on achieving true “Full Self-Driving”?
This also begs the question: is Tesla’s aggressive Q2 2025 target for unsupervised self-driving realistic, or just another overly optimistic projection? Their track record with self-driving timelines hasn’t exactly been stellar. Considering the current state of FSD, are they setting themselves up for yet another disappointment, or could these incremental updates actually pave the way for a surprising breakthrough?
The release notes mention a significant increase in data and compute scaling. Will this translate to a tangible improvement in real-world performance, or are we simply seeing bigger numbers without a corresponding leap in functionality?
Let’s discuss. What are your thoughts on this latest FSD update? Are you seeing noticeable improvements? Is Tesla on the right track, or are they losing their way in the race for autonomous driving?
Tesla’s latest FSD v13 rollout seems to be a mixed bag, sparking some serious questions about their self-driving ambitions. While features like improved parking capabilities sound promising, the removal of key advancements initially slated for v13 raises eyebrows. Are they genuinely prioritizing a more stable release, or are we witnessing another timeline slip disguised as progress?
The missing 3x model scaling and context length scaling, originally touted as game-changers, now reside in the “upcoming improvements” section. How much confidence should we place in these postponed advancements, and what impact will their absence have on achieving true “Full Self-Driving”?
This also begs the question: is Tesla’s aggressive Q2 2025 target for unsupervised self-driving realistic, or just another overly optimistic projection? Their track record with self-driving timelines hasn’t exactly been stellar. Considering the current state of FSD, are they setting themselves up for yet another disappointment, or could these incremental updates actually pave the way for a surprising breakthrough?
The release notes mention a significant increase in data and compute scaling. Will this translate to a tangible improvement in real-world performance, or are we simply seeing bigger numbers without a corresponding leap in functionality?
Let’s discuss. What are your thoughts on this latest FSD update? Are you seeing noticeable improvements? Is Tesla on the right track, or are they losing their way in the race for autonomous driving?
- By allmaxh