Intelligence as Simulation: Why LLM Agents Need World Models
Language can propose a plan. A world model can explore its consequences: why autonomous agents need more than plausible answers.
Read MoreLanguage can propose a plan. A world model can explore its consequences: why autonomous agents need more than plausible answers.
Read MoreAI accelerates code generation, but comprehension takes time. Exploring software quality, verification, and the changing sources of developer stress.
Read MoreThe monolith as an expression of control: Waterfall, layered systems, and the gradual discovery that change cannot be planned away.
Read MoreFrom mainframes and tightly coupled programs to modules and client-server systems: the opening chapter of the Software Architecture Saga.
Read MoreFrom the 1992 Usenet clash to today’s hybrid architectures: microkernel ideals, monolithic pragmatism, and the messy evolution that runs the world.
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