Task Worlds
3 articles in this topic.
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A World Worth Learning From
Before an agent can learn from experience, its environment has to produce experience worth learning from. A sixteen-run engineering study tested what survives after the agent commits.
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Fluent, But Unsafe
How 150 supposedly finished tasks and perfect model scores hid a weak engineering benchmark—and how auditable reviews exposed what the numbers missed.
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Task Worlds and Meta-Harnesses
How task worlds, Badiou, Plasticity, and the AEC-Bench meta-harness turn task prose, evidence, review, governance, and repair into runnable machinery.