Apple Vision Pro — second most impressive tech since the iPhone

February 27, 2024

In the United States, Apple officially launched Apple Vision Pro and began accepting pre-orders at 8:00 a.m. on January 19th. Following the usual pattern of initial releases for Apple’s new products, the first batch of inventory quickly sold out. Within a few hours, the shipping dates for new orders were already pushed back to mid-March. Meanwhile, OpenAI introduced a dedicated ChatGPT application for this new device. Running on visionOS, the ChatGPT app enables users to interact with OpenAI’s GPT-4 Turbo model. Within this application, users can directly ask questions, receive answers, get recommendations, and even generate images and text.

OpenAI CEO Sam Altman stated that Apple Vision Pro is the “second most impressive technology since the iPhone.”

AI in Apple Vision Pro

The technological showcase of Apple Vision Pro demonstrates significant advancements in the fields of Mixed Reality (MR) and Artificial Intelligence (AI). These advancements not only reflect Apple’s deep investment in creating immersive, intuitive experiences but also underscore the pivotal role of generative AI in today’s technological innovations. While Apple did not directly mention AI at the WWDC conference in 2023, the widespread application of AI technology is evident in its products. Here are some key AI technologies and features embodied in Vision Pro:

AI Digital Avatar and Emotion Detection

AI Digital Avatar: Vision Pro utilizes the front-facing camera to scan users’ facial information and, with machine learning technology, generates a digital avatar of the user. This technology allows the digital avatar to dynamically mimic users’ facial and hand movements during FaceTime calls, providing a more realistic interaction experience.

AI Emotion Detection: Apple employs AI for emotion detection, involving the use of machine learning to analyze users’ body and brain data to infer their emotional states. This technology, known as “brain-computer interface” or “mind reading,” represents an advanced step in understanding user emotions and responses.

Multimodal Interaction

Vision Pro introduces a novel interaction system that utilizes eyes, gestures, and voice for interaction. This includes using eye gaze for app selection, gesture controls, and voice commands for browsing and controlling applications, thus offering users a more intuitive and natural way to interact.


Apple has designed a brand-new operating system, visionOS, specifically for Vision Pro. This system is tailored for spatial computing and includes advanced technologies such as low latency, spatial computing work, and 3D spatial engine. This marks a significant step for Apple in providing robust support and seamless experiences for mixed reality devices.

Scene and Action Recognition

The application of AI technology in Vision Pro also includes scene and action recognition, leveraging the powerful processing capabilities of Apple’s M2 and R1 chips to achieve precise capture of user eye movements and hand gestures, further enhancing the natural fluidity of the interaction experience.

While Apple did not significantly emphasize AI at WWDC 2023, the features and functionalities of its products demonstrate the company’s profound understanding of seamlessly integrating AI technology into user experiences. This silent integration may indicate Apple’s long-term perspective on AI technology, aimed at continuous improvement and innovation in user experience through technological enhancement rather than mere market hype.

ChatGPT and Apple Vision Pro

With the launch of Vision Pro by Apple, ChatGPT has become one of over 600 native applications developed for its new operating system, visionOS. The introduction of Vision Pro marks a significant step for Apple in the field of mixed reality technology, and the applications of visionOS leverage several innovative technologies of this platform, such as eye tracking, iris recognition technology Optic ID, spatial audio technology for creating directional audio effects, and the VisionKit work enabling applications to ‘see, hear, and speak’.

Multi-modal artificial intelligence, capable of processing and understanding inputs from different modes (such as text, speech, images, and videos), provides extensive possibilities for ChatGPT’s application on Vision Pro. This capability means that ChatGPT can not only handle text input but also parse voice commands and visual data, making user interaction more intuitive and diverse.

For example, through Vision Pro, users may interact with ChatGPT simply by gazing at the device and using voice commands, or by scanning real s through the front-facing camera of a headset to obtain information. Such interaction methods can be applied in various scenarios, such as troubleshooting car engines, planning diets, or analyzing mathematical problems.

This version of ChatGPT is expected to fully utilize the advanced features of Vision Pro, although it is currently unclear how this will be achieved. However, it can be anticipated that users will be able to interact with ChatGPT more naturally, enabling seamless interactions ranging from asking everyday questions to performing complex task analyses.

Additionally, visionOS users will be able to use ChatGPT for free, with the option to subscribe to ChatGPT Plus for access to more advanced features and services. This change not only heralds further developments for Apple in the fields of augmented reality and AI but also demonstrates the future trend of enhancing user experience and interaction through the integration of advanced technologies.

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The Significance of Multi-Modal Data

Multi-modal data, which integrates different forms of data such as text, images, videos, and speech, plays a crucial role in enhancing the understanding and interaction capabilities of artificial intelligence systems. As demonstrated by the case of Apple Vision Pro and ChatGPT integration, the processing ability of multi-modal data can greatly enhance user experience, making interactions more natural, intuitive, and capable of providing support in more complex scenarios. The advancement of this technology underscores the importance of professional data companies like Dataocean AI in the collection and processing of multi-modal data. These companies collect and annotate large-scale multi-modal datasets, providing the foundation for training machine learning models. These datasets not only need to cover a wide range of scenes and contexts to ensure the generalization ability of the model but also require high-quality annotations to ensure the accuracy and effectiveness of model training.

Professional data companies play an indispensable role in this process. Firstly, they can provide high-quality, diverse datasets, which are crucial for developing AI systems capable of understanding and processing multi-modal inputs. Secondly, these companies utilize expertise to ensure the accuracy and consistency of data, thereby improving model performance. Additionally, as the field of AI applications continues to expand, there is an increasing demand for customized data for specific scenarios and industries. Professional data companies can provide these customized services, further driving the application and development of AI technology.

The importance of multi-modal data lies in its core role in enhancing the understanding and interactivity of AI systems, and professional data companies like Dataocean AI play a crucial role in collecting, processing, and providing this data.  As AI technology continues to advance and its application scope expands, the role and contribution of data companies will become increasingly significant, playing a crucial role in driving the development of the AI industry.

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