The Magic of Tomorrowland 2026 makes its debut outside Tokyo in Shanghai, taking place from October 17 to 18, and becoming one of the top electronic music festivals focused on the local youth community. The Magic of Tomorrowland 2026 has partnered with STEPX to showcase innovative ways for "everyone to create their own AI music" using the STEPX Neo, an AI-native smartphone, and to explore the cross-disciplinary integration of AI, music, and trendy culture with the audience.
The event features Amoo as the first AI entity of TMOT 2026, allowing audiences to describe their current emotions and music preferences to generate personalized electronic music works, while also launching the Agent electronic music mixing challenge. This music generation capability is powered by the StepAudio 3 Music model, developed in collaboration with AI creators and the STEPX Neo smartphone, aiming to provide a more creative and personalized music creation experience.
STEPX Neo is supported by hardware and software optimization, equipped with a custom Qualcomm Oryon CPU and Adreno GPU, and features a self-developed Step model matrix and native operating system Step AOS, providing a robust foundation for AI entity computing. This design enables more efficient edge-side inference and multi-task scheduling while maintaining user data privacy and security, allowing for uninterrupted live improvisation.
The design of STEPX Neo adopts a "retro-futuristic aesthetic," combining transparent mechanical elements with visual characteristics of intelligent life forms, along with an independent Mini LED dot matrix back screen that allows users to view task status in real-time. A comprehensive ecological collaboration is being established, with STEPX partnering with dozens of companies and products, including Alipay, Tencent, Ctrip, Didi, Jianying, Amap, and Meituan, to realize applications in various scenarios such as local living, travel, office efficiency, and content creation.
The launch of STEPX Neo marks the entry of personal terminals into the "AI entity era," where hardware is no longer just a container for applications but a vehicle connecting countless services. By integrating self-developed large models, native systems, and terminal hardware, STEPX provides a pathway for AI entities to enter the physical world and offers a reference implementation for the industry.
The event also emphasized the safety and controllability of the "hardware-software-model trinity," reaffirming user control over tasks and memory management, ensuring a stable and traceable experience during high-intensity live demonstrations. The service ecosystem of STEPX Neo is gradually improving, forming cross-scenario service links with nearly a hundred companies, allowing AI entities to provide more practical value in daily life.
The device is positioned as a cross-scenario human-machine collaboration tool, capable of providing a native AI terminal experience while ensuring stable operation over extended periods, offering more possibilities for the future of digital life. Overall, the collaboration between The Magic of Tomorrowland 2026 and STEPX presents an innovative creative ecosystem driven by music, allowing live audiences to experience new possibilities of "everyone can create AI music" through the interplay of music and technology.
STEPX Neo's Hardware and Software Collaboratively Create a New Native AI Smartphone Experience
STEPX Neo integrates the Snapdragon 8 mobile platform with a further optimized custom Oryon CPU, and is equipped with an Adreno GPU and Hexagon NPU, enhancing graphical performance and AI inference efficiency, ensuring robustness in multi-tasking and prolonged operation. This configuration supports the Step model matrix, Step AOS organizational memory, and services; at the user level, it also provides a secure and controllable execution environment, reducing privacy risks. This enables AI entities to operate stably in daily life, perform real-time inference, and support cross-application task collaboration.
STEPX Neo's core competitiveness lies in the "hardware-software-model" trinity, combining the understanding and reasoning capabilities of the Step model matrix, organizational memory and services of Step AOS, and the perception and interaction hardware; this design allows the AI entity to understand real scenarios, recognize user intent, continuously execute tasks, and gradually grow during use. The security architecture emphasizes "trustworthy, visible, controllable, and reversible," allowing the entire task process to be traceable, with permissions and memory manageable, ultimately giving control back to the user.
STEPX Neo's design brings a "retro-futuristic aesthetic," paired with an independent Mini LED dot matrix back screen, enabling users to track the AI entity's task status in real-time, balancing appearance and functionality to enhance the overall user experience. This design language also provides clear visual and operational boundaries for the future experimental features of edge-side AI entities, helping audiences understand the concept of human-machine symbiosis.
To promote practical applications, STEPX has partnered with nearly a hundred companies across payment, travel, content creation, and other scenarios, allowing AI entities to provide more practical services in daily life, further promoting the native AI smartphone in business and life domains. For technology enthusiasts and music creators, the live mixing challenges and real-time generated electronic music works offer a more intuitive creative experience and exploration space.
In summary, the launch of STEPX Neo signifies the entry of personal terminal devices into an era centered around AI entities, where hardware is no longer just a container for applications but a connection point for the entire AI ecosystem. With the combination of self-developed large models, native systems, and terminal hardware, STEPX provides an actionable technological pathway for future digital life and offers a reference for other manufacturers exploring the field of AI entities.
The following are the preliminary key design and ecological strategies of STEPX Neo, demonstrating the cost and benefit balance in both live and daily use, especially in planning for cross-scenario task collaboration and long-term operational stability.
During this exhibition and demonstration, STEPX stated that it will continue to optimize the inference efficiency of AI entities, cross-service collaboration capabilities, and data protection strategies under different regional regulations, ensuring users can enjoy safe and reliable support for creative and daily life when using the device's AI entity.
The release of STEPX Neo also reflects the industry's latest attempts at combining hardware with large models, which may drive more brands to innovate and collaborate in edge-side inference, task automation, and personalized content creation in the future.
(The following is the specification table)
The hardware and software architecture of STEPX Neo currently publicly described includes: Snapdragon 8 mobile platform, custom Qualcomm Oryon CPU, Adreno GPU, Hexagon NPU, Step model matrix, Step AOS, native system, cross-application task execution, AI security architecture, retro-futuristic aesthetic, independent Mini LED dot matrix back screen, and ecological collaboration with nearly a hundred companies.
The official complete technical specification list and model details have not been disclosed; the above information is based on public demonstrations and official statements.
The data sources and scenario coverage demonstrate STEPX's long-term investment direction in native AI terminals and its specific practices in exploring new forms of creation in music and cultural activities.
The following is the specification table (listing only major fields, with no fabricated or fictional information):
| Product | STEPX Neo | Core Specification Summary |
| Processor | Snapdragon 8 mobile platform + custom Qualcomm Oryon CPU | Efficient multitasking and AI inference |
| Graphics and AI | Adreno GPU; Hexagon NPU; Step model matrix | Optimized graphics and local AI inference capabilities |