Music popstar will.i.am meshes AI and ‘micromobility’
In a bold fusion of music culture and cutting‑edge technology, a prominent artist‑entrepreneur unveiled a trio‑wheel urban vehicle designed to pair human control with an intelligent assistant. The concept, centered on a prototype called Trinity, envisions city travel as a space where creativity and mobility intersect on everyday streets.
The effort positions the creator as a bridge between artistic imagination and engineering depth, assembling full‑stack developers, electrical and mechanical engineers, and digital world builders to co‑create on wheels. The aim is to turn routine commutes into active collaboration, transforming travel into a moving lab for ideas.
Trinity is a single‑seat electric autocycle that leaves the driver in charge of steering, but adds an AI companion that can converse and coordinate as the ride unfolds. The AI is intended to function as a flexible teammate, helping with planning, task delegation, and in‑motion decision making to keep projects moving while on the go.
Described as “brains on wheels,” the system relies on an onboard AI that can interpret the surrounding environment and reason about next steps in real time. The team developing Trinity envisions a vehicle that does more than transport; it acts as a portable workspace and creative partner during the journey.
The hardware backbone includes a high‑performance graphics processor to power the AI, enabling perception and situational reasoning as the vehicle navigates urban terrain. The makers plan to manufacture the craft in a Los Angeles facility that will also function as a robotics and AI education hub, fostering hands‑on learning and experimentation for students and innovators alike.
Hitting the street with speed and smarts is a core aim, with the vehicle designed to accelerate quickly from a standstill while maintaining safety and efficiency in dense city environments. The project envisions a future where a ride is not just a means of getting there, but a dynamic partner that can assist with tasks and ideas during the trip.
Initial production targets a run of 500 units, with deliveries anticipated to begin next August and a price forecast to stay under $30,000. The plan seeks to bring affordable AI‑assisted urban mobility to a broad audience, merging practical transit with the power of next‑gen collaboration tools.
As momentum builds, supporters highlight a model that blends hands‑on engineering with educational opportunities, aiming to cultivate a new wave of talent in autonomous systems and AI‑enabled mobility.
