Rivian Claims to Launch Autonomous Driving System Comparable to Tesla FSD This Year
The Rivian CEO casually dropped a "bomb": We will also have an autonomous driving system comparable to Tesla's Full Self-Driving (FSD), and it will be launched this year. Such a declaration sounds more like a shot in the arm for the capital market and waiting customers. In the battlefield of autonomous driving, the word "plan" is as light as a feather, while mass production, delivery, and a strong safety reputation are what truly matter. FSD itself remains a "regulatory-dependent" system to this
Analysis
The Rivian CEO casually dropped a "bomb": We will also have an autonomous driving system comparable to Tesla's Full Self-Driving (FSD), and it will be launched this year. Such a declaration sounds more like a shot in the arm for the capital market and waiting customers. In the battlefield of autonomous driving, the word "plan" is as light as a feather, while mass production, delivery, and a strong safety reputation are what truly matter. FSD itself remains a "regulatory-dependent" system to this day, with ongoing debates about its capability boundaries and safety. When a latecomer loudly proclaims "comparable," is it measuring itself against a specific technical endpoint, or merely leveraging a deeply ingrained marketing symbol? It seems more like saying, "We too want to join this narrative game about 'intelligence' defined by Musk, even if we first sketch an outline with PowerPoint slides and code."
Meanwhile, while the automotive industry is still debating the definition of "intelligence," Musk has already made another strategic move—directly entering the hardcore battlefield of chip manufacturing. Samsung Foundry has secured a chip order from Neuralink, with a goal of achieving mass production of 4nm chips by 2027. This news is far more intriguing than Rivian's "plan." It means that Musk, who is adept at using grand visions to raise funds, is now solidly anchoring the ambitions of his brain-computer interface onto the physical foundation of semiconductors. The ultimate vision of brain-computer interfaces—whether enhancing human capabilities or treating diseases—cannot be realized without a powerful, reliable, and implantable chip. Choosing Samsung over TSMC may involve multiple calculations regarding production capacity, cost, and even geopolitics, but that's not what matters. What matters is that Musk is building a vast hardware ecosystem loop—from electric vehicles on Earth and rockets in space to chips in the human brain.
Placed side by side, these two news stories reveal an interesting blend of division and convergence. On one side, an electric vehicle company is eager to infuse its mechanical body with an "intelligent soul." On the other, a tech visionary is dedicated to developing a "hardware interface" for the human biological body. What Rivian fears is being labeled a "traditional electric vehicle company," so it must align itself with Tesla in software and algorithms. What Musk is orchestrating is directly defining the physical layer of the next generation of human-machine interaction. The former is chasing a proven (though controversial) business model, while the latter is betting on a future market that does not yet exist.
The deeper game lies in the supply chain. Samsung winning this order is not just a commercial victory; it's a critical counterattack against TSMC in the field of cutting-edge manufacturing processes. Neuralink's 4nm chips will compete for precious wafer capacity alongside high-end smartphone chips and AI accelerators. This foreshadows that future technological competition will increasingly be a direct contest for control over the most fundamental manufacturing capabilities. No matter how cool your algorithms and ideas are, without the "womb" of advanced processes to nurture them, everything is just empty talk.
So, don't just focus on Rivian's bold declaration. The real undercurrent is that Musk is pushing the "Silicon Valley model" to its extreme—not only using software to define cars but also using chips to define the biological future. Meanwhile, most traditional automakers and tech companies are still struggling to make cars drive more "intelligently." One era is focused on conquering roads, while the other has already started thinking about conquering cognition itself. The race tracks are already different, and we might not even be aware of it.
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