首先是大模型的持续进步，主要体现在推理模型的出现提供了更强的任务理解、规划能力，以及多模态模型的发展为智能体能够处理和生成更复杂的信息提供了基础。
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How this addresses the real-world failures from earlier
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The experiment methodology left me dubious about the kind of point they wanted to make. Why not provide the agent with the ISA documentation? Why Rust? Writing a C compiler is exactly a giant graph manipulation exercise: the kind of program that is harder to write in Rust. Also, in a clean room experiment, the agent should have access to all the information about well established computer science progresses related to optimizing compilers: there are a number of papers that could be easily synthesized in a number of markdown files. SSA, register allocation, instructions selection and scheduling. Those things needed to be researched *first*, as a prerequisite, and the implementation would still be “clean room”.