Train intelligencethrough play.
A foundation programme for developers, players, and gaming-industry contributors who want to help shape responsible, useful proprietary SLMs for interactive environments.
The people closest to play should help define the model.
We are opening the programme as an application-led foundation cohort. Its purpose is to make the training and evaluation work more grounded—not to collect data indiscriminately. Every pilot will define its question, inputs, safeguards, and contribution boundary before it begins.
Bring the right kind of signal.
Choose a track based on your lived experience in games, not on a generic follower count.
Instrument the signal
Help define practical, consent-first game events and evaluation scenarios that make telemetry useful without flattening the player experience.
Ground the model in play
Contribute structured feedback on scenarios, language, and outcomes so product intelligence remains legible to the people it is meant to serve.
Stress-test the assumptions
Bring coaching, research, community, safety, or production expertise to the questions a proprietary gaming SLM should answer—and the questions it should not.
Request access
Tell us where you work or play, the kinds of games you know well, and the contribution track that fits.
Join a focused call
Selected contributors receive a bounded brief with a clear question, expected effort, and a stated data boundary.
See the work travel
Contributors receive a concise outcome note, with recognition or programme benefits tied to the specific call.
A transparent exchange for meaningful work.
The initial programme is structured around access and acknowledgement. Any financial incentive is a future, call-specific decision—not a blanket promise.
Opt-in recognition in a future contributor roll and selected release notes.
Preview evaluation kits, technical briefings, and experimental product surfaces before public release.
A practical route for your context to shape programme briefs, research questions, and developer documentation.
Eligibility to hear about future research, grant, or bounty calls if and when their formal rules are published.
No black-box contribution programme.
Consent before collection
Each pilot must specify what is being contributed, the intended purpose, and the opt-in decision.
A defined use case
We will not ask for broad or indefinite rights to community, studio, or player data.
Terms before incentives
Paid work, prizes, and grants need formal eligibility, tax, IP, privacy, and moderation terms before any call is opened.
A practical starting point.
The programme is intentionally narrow at launch. We will expand it only when the consent, quality, and contributor experience are ready.
Help make the next model more useful in the real world.
Request access with a short note about your game, discipline, or perspective. We will share a defined brief before asking for any contribution.