$Tesla (TSLA.US)$ We can use two objective facts to verify why LiDAR has no future.
1) Several companies, including NVIDIA, are developing pure vision-based autonomous driving architectures, validating Tesla’s pure vision autonomous driving as the right direction.
2) Humanoid robots don’t have LiDAR. Currently, I haven’t seen any robots with LiDAR. If robots can operate on pure vision without needing LiDAR, then LiDAR becomes unnecessary.
The above two objective facts prove that Waymo is heading in the wrong direction. Waymo won’t disappear immediately; it still has a chance to change course and shift to pure vision. If it doesn’t adapt, once other pure vision-based autonomous driving companies emerge en masse, Waymo will face obsolescence.
It’s simple logic: if pure vision can achieve the same level of safety as LiDAR, then what’s the point of using LiDAR? There is currently no evidence showing that something LiDAR can do cannot be done by pure vision. On the contrary, real-world examples have shown that tasks LiDAR struggles with are being accomplished by pure vision systems.
1) Several companies, including NVIDIA, are developing pure vision-based autonomous driving architectures, validating Tesla’s pure vision autonomous driving as the right direction.
2) Humanoid robots don’t have LiDAR. Currently, I haven’t seen any robots with LiDAR. If robots can operate on pure vision without needing LiDAR, then LiDAR becomes unnecessary.
The above two objective facts prove that Waymo is heading in the wrong direction. Waymo won’t disappear immediately; it still has a chance to change course and shift to pure vision. If it doesn’t adapt, once other pure vision-based autonomous driving companies emerge en masse, Waymo will face obsolescence.
It’s simple logic: if pure vision can achieve the same level of safety as LiDAR, then what’s the point of using LiDAR? There is currently no evidence showing that something LiDAR can do cannot be done by pure vision. On the contrary, real-world examples have shown that tasks LiDAR struggles with are being accomplished by pure vision systems.
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$Tesla (TSLA.US)$ David Moss, a Tesla user, shared on the X platform that he had achieved 12,000 miles of autonomous driving without any intervention.
Tesla is the only one on Earth to physically achieve true autonomous driving.
This is just the beginning. As more and more people use autonomous driving, this milestone will continue to expand.
Tesla is the only one on Earth to physically achieve true autonomous driving.
This is just the beginning. As more and more people use autonomous driving, this milestone will continue to expand.
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$Tesla (TSLA.US)$ What confuses me is that Tesla, which has the world's largest fleet collecting real-world data, the largest training center, and has physically achieved Level 4 autonomous driving, still faces disbelief from many who would rather believe in companies without the largest fleet or biggest training centers achieving Level 4 autonomy.
Achieving Level 4 autonomous driving on paper is meaningless; what matters most is physically achieving it. Waymo, on the other hand, is the company that claims Level 4 on paper but performs poorly in real-world physical driving.
Achieving Level 4 autonomous driving on paper is meaningless; what matters most is physically achieving it. Waymo, on the other hand, is the company that claims Level 4 on paper but performs poorly in real-world physical driving.
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$Rocket Lab (RKLB.US)$ The advantages of the Neutron rocket are much greater than you might imagine. The recovery and landing of the first-stage rocket is truly useful, enabling supply and rescue operations to land at any location.
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$Rocket Lab (RKLB.US)$
Falcon 9 can only recover the second-stage rocket booster; the first stage cannot be recovered, thus point-to-point transportation is not possible.
Starship is 100% reusable, but it requires giant chopsticks for landing. Therefore, point-to-point Earth-to-space transportation would need multiple landing platforms. However, it can't land at any location and has to be far from the destination.
The Neutron rocket can recover the first-stage rocket, but the second stage cannot be recovered. Therefore, the first-stage rocket carrying items can land on any flat ground without relying on any platform.
In summary, although the Neutron rocket sacrifices the second-stage booster, it can land on any flat surface, giving it significant advantages in emergency material and medical rescue as well as military supply.
Falcon 9 can only recover the second-stage rocket booster; the first stage cannot be recovered, thus point-to-point transportation is not possible.
Starship is 100% reusable, but it requires giant chopsticks for landing. Therefore, point-to-point Earth-to-space transportation would need multiple landing platforms. However, it can't land at any location and has to be far from the destination.
The Neutron rocket can recover the first-stage rocket, but the second stage cannot be recovered. Therefore, the first-stage rocket carrying items can land on any flat ground without relying on any platform.
In summary, although the Neutron rocket sacrifices the second-stage booster, it can land on any flat surface, giving it significant advantages in emergency material and medical rescue as well as military supply.
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$Rocket Lab (RKLB.US)$ Starting from 2026, Earth-to-Earth point-to-point space transportation will become a key strategic focus, encompassing military supply, disaster relief, and even opening up entirely new trade and economic pathways.
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$Rocket Lab (RKLB.US)$ Just imagine, in a remote place like an offshore island, if a major disaster such as a massive volcanic eruption or other natural calamity occurs, there will be an urgent need to quickly deliver emergency relief supplies and medical aid. In this scenario, Earth's point-to-point transportation becomes extremely important. The first stage of the neutron rocket can land near the destination, reducing transport time to within an hour and a half. Moreover, the neutron rocket is smaller in size, and its landing won't produce an overwhelmingly loud sonic boom like Starship (which needs to land very far from the destination and cannot land without 'chopsticks'). Therefore, the neutron rocket has the advantage of being able to land closer to the destination, giving it an absolute edge.
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$Rocket Lab (RKLB.US)$ Apart from launching satellites, point-to-point transportation on Earth is also feasible. Although Starship has an advantage in this aspect, in military applications and even emergency disaster relief, point-to-point Earth transportation can make neutron rockets a strong candidate for logistics support.
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$Rocket Lab (RKLB.US)$ The potential of the space industry is even greater than that of semiconductors, as there are still many space-related industries beyond our imagination. One example is a space-based AI training center. No one would have thought of this until last year when the idea emerged.
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$Tesla (TSLA.US)$ The core mission of Tesla Optimus is to truly enter a household and become a human assistant. Safety is very important; even if it crashes, it must not flail or charge around.
I believe many of you have seen those Chinese robots that go out of control and damage their surroundings or even harm humans when they crash. I don’t know if those Chinese robots have improved, but these images have left a negative impression in my mind—I would never buy a robot with uncertain safety, even if they claim it’s very safe.
However, with Tesla's robot, you can see that they are making a great effort to design Optimus to be very gentlemanly and extremely human-friendly.
Moreover, Optimus will integrate with Grok, and both the large language model and intelligence are being designed as true human assistants rather than biased intelligences favoring certain opinions.
Overall analysis shows that Tesla is the best in terms of hardware, software, and intelligence—I haven't seen any competitors surpass Tesla yet.
I believe many of you have seen those Chinese robots that go out of control and damage their surroundings or even harm humans when they crash. I don’t know if those Chinese robots have improved, but these images have left a negative impression in my mind—I would never buy a robot with uncertain safety, even if they claim it’s very safe.
However, with Tesla's robot, you can see that they are making a great effort to design Optimus to be very gentlemanly and extremely human-friendly.
Moreover, Optimus will integrate with Grok, and both the large language model and intelligence are being designed as true human assistants rather than biased intelligences favoring certain opinions.
Overall analysis shows that Tesla is the best in terms of hardware, software, and intelligence—I haven't seen any competitors surpass Tesla yet.
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长期持有 OP 75724791 : Whether there is a safety officer or not is not the key point; the key is how many miles the vehicle can operate without intervention, as that car will eventually need to carry passengers. You can just consider the safety officer as a passenger—it's the same.
Tesla users are driving across the U.S. with autopilot enabled, while Waymo is only operating in a few cities. Which one do you think is stronger?
长期持有 OP 75724791 : x.com/i/status/...
. Be sure to provide your strong rebuttal.
Freshly released Waymo user experience—what you call Level 4 autonomous driving
The more you talk, the more it shows your limited cognitive ability and inability to think independently.
I suggest Waymo needs to add more LiDAR sensors.