A Developer’s Guide to Systematic Prompting: Mastering Negative Constraints, Structured JSON Outputs, and Multi-Hypothesis Verbalized Sampling

Most developers treat prompting as an afterthought—write something reasonable, observe the output, and iterate if needed. That approach works until reliability becomes critical. As LLMs move into production systems, the difference between a prompt that usually works and one that works consistently becomes an engineering concern. In response, the research community has formalized prompting into…

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AI PCs Need Better Labels Than AI PC

The PC industry has never been shy about creating labels. Multimedia PC. Internet PC. Ultrabook. Creator laptop. Gaming rig. Workstation. Some of those labels described real shifts in architecture or use. Others mostly offered marketing teams a new sticker for the palm rest. “AI PC” has the same problem. It describes a real change, but…

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