Capability
Can an open model reason through a difficult task and still produce a working result?
Research
SLAI studies open models as systems for real work, then publishes the findings, methods, and tools that can move the field forward.
Can an open model reason through a difficult task and still produce a working result?
Can people choose both the depth of thought and the amount of work the agent performs?
Can the research leave the lab as a model, product, framework, dataset, or reproducible method?
Published research

Reasoning effort controls how deeply a model deliberates. Work effort controls how far an agent carries the task. Useful systems need both dials.
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A useful agent does not race from prompt to answer. It explores the project, tests its understanding, acts, and checks what actually changed.
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