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CadX Studio teases an AI CAD model for 2026, demonstrating a workflow from typing to building to sectioning, with a model release planned for Monday.
This paper proposes a memory-augmented reinforcement learning framework for CAD generation agents that integrates geometric kernel toolchains, dual-track memory, and dynamic utility retrieval to handle complex CAD models with long operation sequences and geometric constraints, achieving improved success rate and geometric consistency.
A user conducted a stress test using GPT-5.5-Pro and ForgeCAD to generate a helicopter model, highlighting current limitations in surface development and model capabilities.