Potluck
Contribute
Alpha is a potluck: every model, dataset and tool in it was brought by someone. The places it’s still weak — a language, a benchmark, a missing piece of the stack — are where your help counts most.
Ways to help
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Share a dataset for your language
Models only speak a language well if they’ve read enough of it. A community can share text and speech datasets on its own terms — who can use them, and for what — through Mozilla Data Collective.
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Lend your voice
Recordings of people reading sentences aloud, in more than a hundred languages, teach open speech models to understand them. A few minutes helps. Record through Common Voice.
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Tell us what’s missing
A language Alpha stumbles in, a tool you expected, a model you’d like to see — tell us, and it goes to the people building Alpha.
Open gaps on the roadmap
Pieces of an open AI stack that still need a partner to build them.
- Local benchmarks Being built
Evaluation suites designed for local community use-cases.
- Benchmark evaluation datasets Being built
Independent, reproducible benchmarks and evaluation suites for foundation models, agentic systems, and safety.
- Pretraining datasets Not started
Large repositories of data for pre-training.
- Query router Not started
Intelligent routing of user queries to the most appropriate model, service, or logic.
- Model router Being built
An inference module that routes inference requests to different models based on parameters like use-case, intent, subscription class, and geography.
- Agent service Being built
A hosted service for deploying and configuring agents.