Within Tesla’s shocking ‘fake wall’ test: how the cyber truck was too smartly finished and what it means for self-driving cars in 2025
Tesla’s HW4 chip feeds a stunning jump in self-driving-see how the cyber truck stopped just in time during a viral “fake wall” test.
| HW4’s computing power: | Up to 500 trillion operations per second (tops) |
| Autonomous investment: | $ 10+ billion invested in AI in the past year by Tesla and Xai |
| Viral test result: | Cybertruck stopped at the fake wall – Model Y Sped through it |
| Future hardware: | AI5 chip (next-gene) can achieve 2500 top performance by 2025 |
What happens when advanced hardware meets the ultimate test for autonomous driving? In a recent viral experiment, the “Fake Wall Cognition Test” mentioned two Tesla vehicles-de 2022 Model Y and the 2024 Cybertruck-with a challenge with high efforts.
A huge plastic wall painted to imitate an open road was set up over two lanes. From the perspective of a driver, the road seemed to continue – perfect for misleading both people and AI. As soon as the test started, the model Y walked forward and did not recognize the deception. The driver closed the brakes to prevent a disaster. But when the cyber truck approached, it discovered the illusion, recognized the wall and stopped safely – did not need any human intervention.
Why did two Teslas behave so differently? The answer: The future of self -driving is completely about the chip.
Question: What did the CyberTruck make the model y too smartly off?
The winning lead comes from Tesla’s latest inferential semiconductor. While the model Y depends on the older hardware 3 (HW3) chip, the cyber truck has the powerful upgrade of hardware 4 (HW4).
HW4 is not just an incremental update. It is a game changer – built on a 5NM process (a huge jump of the 14nm of HW3), with integrated CPU, NPU and GPU. This yields performance to 500 tops – more than three times more than HW3.
That rough power lets the cyber truck analyze thousands of frames per second of its 12 cameras and state-of-the-art radar. Even with difficult weather or with visual tricks, it interprets the environment and makes accurate, safe decisions.
For more information about Tesla technology, visit Tesla.
Question: How has Tesla’s self -driving hardware evolved?
Since the first EYEQ3 chip from Mobileye in 2014 – only capable of relatively simple cruise control – has pursued Tesla Chip Supremacy:
– 2014: HW1 powered by EYEQ3 (Mobileye)
– 2019: HW3 In-House Silicon, Boosting Performance 21x via HW2, Handing 2.3k Frames/SEC
– 2023: HW4, tailor -made, 5 Nm, 12+ cameras, High Reserior Radar, Redundancy with Double Chip
– Next (2025?): The rumor that AI5 to 2500 tops would reach
The fast hardware extension of Tesla has its vehicles used AI that is trained at billions of kilometers, causing the boundaries of autonomous driving.
How-To: Understand the role of chips in self-driving cars
1. Detection: Cameras, radar and ultrasound collect data from the area.
2. Processing: Chips (HW3/HW4) convert unprocessed data on usable insights – identifying roads, signs and obstacles.
3. Decision -making: AI algorithms simulate millions of scenarios in real time, where speed and direction are adjusted.
4. Implementation: Advanced software (such as Tesla FSD Beta V13) controls the answers of the car, including emergency brakes or stops.
Do you want to compare how Google is improving autonomy? Check out Waymo. China Baidu and technical giants such as Samsung And TSMC are also in the race.
Question: What is the next step for self-driving and AI power?
Tesla and his AI-spin-off, Xai, have deposited more than $ 10 billion in AI R&D and invest in 50,000 NVIDIA H100 GPUs for their “Cortex” data center, with plans for 350,000 more. Elon Musk’s Vision: Full Robo Taxi Autonomy-No steering wheel, no brakes, only end-to-end AI control.
With supervisors in the US and China EYE policy changes by 2029, the world’s largest AI and chip companies are locked up in a high-effort race. Self-driving could transform city life and labor markets and semiconductors at the center of all this.
Question: How can countries compete in the AI ​​& Chip Race?
In order to prevent it from lagging behind in technological sovereignty, countries such as South Korea are encouraged to strategically invest in R&D of semiconductor. While self-driving cars go beyond transport to become Rolling AI data centers, the “Chip War” will define the market leaders for years.
Action checklist: Get ready for the self -driving revolution
- Follow Tesla’s AI and Chipmile poles for upcoming vehicle models
- Discover how leading companies such as Nvidia Form AI -hardware
- Watch out for legal shifts on autonomous driving in your country
- Consider how AI-driven cars can influence your city, work and daily routines
- Follow industrial news to spot the next breakthrough of AI -chip
Don’t miss the next wave in the transport – follows the AI ​​chip innovators and understand the first new rules of the road!
