ProgramAsWeights compiles an English function description into a LoRA adapter you run locally on a frozen Qwen3-0.6B

r/MachineLearning (via yuntiandeng, University of Waterloo)·medium signalXBlueskyLinkedInCopy link

A University of Waterloo open-source project posted to r/MachineLearning splits compilation from inference: a finetuned Qwen3-4B compiler generates a task-specific LoRA adapter for a frozen Qwen3-0.6B interpreter, plus a 'pseudo-program' of cleaned task description and few-shot examples. The Python API is `paw.compile_and_load("Classify urgent emails")`, after which calls run on CPU with no external API. The design bet is that in most production classification work the task is fixed while inputs change, so paying once for understanding and repeatedly for a tiny executor is the right trade.