Building the First
Continual Megapolis
Builders behind the Continual Technological Systems
Building machine intelligence that can keep learning, remembering, and operating
MDL is Continual MI's endless visual novel engine. It is the shared runtime and platform layer for persistent narrative worlds, evolving characters, and long-lived interactive sessions.
Monte Lua is now one example game built on top of MDL. The engine is the product identity; the game is the first proof that the stack can support continual operation inside a public experience.
World simulation and visual novel generation require solving continual learning by definition. If we are simulating real characters that can keep changing, remembering, and learning over time, then the engine underneath them also has to support continual learning as a core property.
Machine Intelligence that can build, inspect, and continually control real hardware
The platform turns supported STM32 and ESP32 boards into host-powered machine intelligence surfaces where agents can interact with low-level electronics instantly through high-level scripts and native UI.
The same runtime that lets a user wire up sensors, motors, and actuators can also let agents remotely control that hardware autonomously, observe feedback, and continue operating without the usual build-and-flash loop.
Architecture work for continual operation
MGPT is the current main research surface behind Continual MI. This is the architecture work we are pursuing toward machine intelligence that can keep operating instead of failing at fixed context limits.
A successor architecture to GPT
MGPT stands for Mask-Generative Pretrained Transformer. It is a new architecture built around assistant-controlled masking, summarization, and sink-preserving system rotation so context can be maintained for far longer than ordinary GPT-style flows.
This is the first research surface in the stack, and the one with a demo path available now.
Community and updates
Continual MI keeps the public site static and points community activity to Discord, while product auth, billing, and runtime behavior stay inside MDL and EMWaver.
Discord is the active place for product discussion, progress updates, bugs, and direct feedback. The site here stays focused on company, product-entry, and research surfaces.
Platform direction
1. EMWaver
Software-first electronics platform with native apps, cloud, and hardware control
2. Shared platform
Shared identity, billing, tokens, and entitlements through Continual core contracts
3. Research
MGPT and the long-horizon architecture work behind Continual MI
4. Community
Discord-first discussion and feedback instead of a first-party Society runtime
Join the community
Join the Discord community to follow product progress, share feedback, and stay close to the work behind EMWaver, MDL, and MGPT.
Static site for company and product-entry pages, Discord for community.
Join the Continual MI Team
After completing the Continual School curriculum, priority is given to graduates to join the actual Continual MI development team.
Work directly on building the systems that will power the first autonomous megapolis, from infinite-context models to the machines that will construct our future.
Team Opportunities
Research & Development
Machine learning architecture research and implementation
Systems Engineering
High performance systems and machine learning infrastructure
Hardware Development
Custom hardware for autonomous systems
Curriculum Development
Creating and updating Continual School machine learning course content
Education & Teaching
Leading courses and mentoring students in the Continual School
Megapolis Construction
Building the first autonomous city systems
School graduates receive priority consideration for team positions