Lei Jun Proposes Faster L3/L4 Self-Driving Laws, Hails Embodied AI as New Era Dawn

Standing at the crossroads of a technological explosion in 2026, where will future trends lead? Lei Jun, NPC Deputy and Founder of Xiaomi Group offered two definitive conclusions in an exclusive interview: 2026 will not only mark the breakthrough year for L3/L4 autonomous driving but also serve as the true starting point for embodied AI large models.
A highly active figure in the tech industry, Lei Jun prepared five proposals for this year's Two Sessions, focusing on cutting-edge areas like humanoid robotics , intelligent driving , and tech-driven philanthropy. He believes China's tech sector is at a critical juncture for high-quality development.
In the smart vehicle domain, advanced driver-assistance systems are rapidly transitioning from "lab validation" to "mass production." Lei Jun noted that as L3 and L4 autonomous driving technologies mature, traditional road safety frameworks face new challenges. He proposed accelerating the establishment of automotive intelligence standards, even suggesting updates to driver's license testing to keep pace with new vehicle technologies, thereby ensuring safety in the intelligent mobility era.
In robotics, Lei Jun 's vision extends further. He anticipates an unprecedented surge in investment for embodied AI large models this year. While humanoid robots are still navigating the difficult transition from "trainees" to "skilled workers," grappling with high hardware costs and process instability, their potential as a transformative product is becoming evident.
Drawing from practical applications like "humanoid robots in automotive manufacturing," this synergy can significantly cut costs and boost efficiency. Lei Jun called for faster breakthroughs in engineering challenges and expanded smart manufacturing applications, aiming to integrate these "AI laborers" into factories to reshape productivity.
This represents not just a technological race but a fundamental reshaping of the industrial ecosystem. As cars learn to "think" and robots gain "souls," the landscape of Chinese technology in 2026, guided by pioneers like Lei Jun , is revealing unprecedented ambition.
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Standing at the crossroads of a technological explosion in 2026, where will future trends lead?
A highly active figure in the tech industry,
In the smart vehicle domain, advanced driver-assistance systems are rapidly transitioning from "lab validation" to "mass production."
In robotics,
Drawing from practical applications like "humanoid robots in automotive manufacturing," this synergy can significantly cut costs and boost efficiency.
This represents not just a technological race but a fundamental reshaping of the industrial ecosystem. As cars learn to "think" and robots gain "souls," the landscape of Chinese technology in 2026, guided by pioneers like
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The golden era of Microsoft's GitHub Copilot may be ending, especially for individual users. The company is shifting from a flat subscription fee to a token-based billing model, which could significantly increase costs. While larger enterprises might
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