But you’re very clearly wrong. Just go ahead and try it: write your own language or just a DSL, write a brief description of how it works , let a LLM use it. Many of us have done this and everyone knows that it works extremely well, to most people’s surprise.

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0c3ca83 14 hours ago | parent [-]

I'd suggest benchmarking the outcomes. It's going to "work", but at a higher cost with worse ontcomes compared to an existing language with a large training set.

	▲	cmontella 13 hours ago \| parent [-]
		Here are some benchmarks I’ve collected recently: https://mech-lang.org/iros-r4r-2026/index.html#5805406811462... I compare one algorithm across several programming languages and backends. There is no training data for Mech in the LLM yet it beats most other implementations in perf, which were optimized by LLM. Maybe human performance engineers trained in these languages could write better implementations. But to answer the question of whether the LLM could write more performant code in languages it’s trained in versus languages it’s not, this comparison is at least illustartive.