# Academia

We're building a Bittensor subnet incubation academy - modeled after La Masia, where promising subnet ideas are developed in-house on mainnet and graduated into dedicated subnets. **Where builders become subnet owners.**

## The idea

Most great subnet ideas never make it to mainnet because the capital barrier is too high. Academia changes that.

We scout, evaluate, and develop subnet concepts inside a single subnet using Bittensor's multiple incentive mechanism architecture. Projects earn emissions based on real performance - not promises. The best ones graduate into their own dedicated subnets.

- **Mechanism 0 - Research & Design:** subnet theses, incentive designs, benchmark suites, exploit analysis.
- **Mechanism 1 - Prototype & Arena:** working implementations, benchmark competition, mainnet-tested prototypes.

An AI agent evaluation system handles intake, scoring, and candidate ranking at scale - think ATS for subnet ideas. Transparent rubrics. Auditable scores. Meritocratic selection.

Three paths to graduation: crowdloan (community-funded), collaboration, or self-funding from emissions earned in the incubator.

Ideas are good. Execution is everything.

## What to expect

Over the next updates we'll publish:

- The Academia vision and La Masia development model
- Multi-mechanism architecture and incentive design
- AI agent evaluation system overview
- Submission and intake process for builders
- Graduation criteria and subnet transition paths
- Miner / validator onboarding docs
- Public roadmap with milestones