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SemaPLC achieves a remarkable 52.2% dynamic behavior score, setting a new standard for verifying the operational integrity of PLC code generation.
Direct predictions in driving world models can lead to substantial inaccuracies in counterfactual scenarios, revealing a critical gap in current methodologies.
Sema Code unlocks AI coding agents from specific interfaces, offering a programmable core that can be embedded into any runtime environment.
Open-source SemaClaw offers a blueprint for building production-ready personal AI agents, shifting the focus from raw model capabilities to robust harness engineering.
