CNBC AI News – July 29 – A recent autonomous driving assist system showdown by Chinese automotive platform Dongchedi is stirring up a digital dust storm. The test, evaluating 36 vehicles, is now the subject of heated debate and online conspiracy theories.
The trials, which simulated high-speed and urban accident scenarios, revealed that even Tesla, considered a frontrunner, didn’t ace every test. Domestic champions like Huawei reportedly lagged further behind in passing rates.
Reaction to the test results has been swift and polarized. While some criticize the methodology as flawed, others accuse Dongchedi of bias, a far cry from the test’s original objective.
The rising tide of criticism has spawned a more elaborate conspiracy theory: that Dongchedi is colluding with foreign entities to undermine Chinese automakers.
Fueling this narrative, some social media users point to alleged ties between investors (like Sequoia Capital) with American interests and Tesla, suggesting a deliberate effort to discredit Chinese electric vehicles and potentially delay the implementation of China’s Level 3 autonomous driving standards.
However, this viewpoint has been met with skepticism. Many argue that dismissing the test as a foreign-backed hit job is a cop-out. They suggest the results, while perhaps not perfect, highlight real-world limitations in these systems.
As one commenter put it, “Dongchedi’s test might not be 100% accurate, but these cars clearly have issues. At least it’s letting consumers know they’re not as advanced as advertised. Notice how automakers are now shying away from the term ‘autonomous driving’ and sticking with ‘driver-assistance’?”
More balanced voices suggest the controversy is a necessary growing pain. “China’s commitment to developing autonomous driving is undeniable. This recent scrutiny shouldn’t hinder progress, but rather accelerate it. The ‘autonomous driving’ being touted today by some automakers is nowhere near the true Level 4 aspirations. Conflating L2 features with L4 capabilities risks misinforming the public and derailing the national strategic vision. This is a recalibration, ensuring citizens don’t mistake rudimentary systems for genuine autonomous driving.”
Dongchedi has refuted claims of bias, stating that the tests only reflect the performance of the tested vehicles in simulated accident scenarios and do not represent their capabilities across all potential driving conditions.
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