vivo拿出了一个60分的产品，但不卖

Core Insights - Vivo has launched the mixed reality (MR) headset, Vivo Vision, ahead of its 30th anniversary, positioning it against Apple's Vision Pro, but has opted for a "release only, not for sale" strategy for now [2] - The headset weighs 398 grams, significantly lighter than Apple's Vision Pro at 650 grams, and has dimensions that are 26% smaller than the industry average [2] - Vivo Vision features eye-tracking and gesture control, similar to Apple's approach, allowing users to interact without controllers [2] Product Performance - An early user noted that Vivo Vision's clarity surpasses that of Meta Quest 3 and ByteDance's Pico, achieving about 70% of Apple Vision Pro's capabilities [3] - Vivo Vision is powered by Qualcomm's Snapdragon XR2+ Gen 2 chip, which is less powerful than the dual desktop-grade chips in Apple Vision Pro [3] - Vivo's COO stated that the company has invested five years into MR development, indicating a more mature environment compared to Apple's seven years [3] Product Evaluation and Future Plans - Internally, Vivo rates the Vision headset at around 60 out of 100, with plans to improve it to at least 80 before market release, expected within two to three years [4] - Vivo is redefining product standards for MR, considering regional facial data for better user experience [4] - The MR market lacks a "killer app" that could drive mass consumer adoption, with current applications being limited to niche markets [4] Pricing and Market Strategy - Vivo's COO expressed confidence in achieving a price point around 10,000 yuan for the MR headset, based on the success of their foldable phone, Vivo X Fold [5] - The company believes that with improved hardware and acceptable pricing, user adoption will increase, encouraging content creators to engage with the MR ecosystem [5] Long-term Vision - Vivo plans to leverage the spatial computing and environmental perception capabilities of the Vision headset for future consumer robotics development [6] - The data collected from real-world usage of the headset will be crucial for training and optimizing consumer-grade robots [6]