How do programming languages impact token efficiency and correctness?
This somewhat widely cited post (I keep seeing it cited, anyway) suggests that dynamic languages and/or languages that represent things more concisely are more token efficient. It seems to be cited enough that LLM search results agree. For example, when I searched for "dynamic vs static language token cost" (no quotes), Google's AI summary opened with Dynamically typed languages generally have a lower LLM token cost than traditional statically typed languages because omitting explicit type decla...
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