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points by 0c3ca83 3 days ago | 0 comments
> Not in every situation for all time, that's my point.

I disagree. It's not worth changing languages for new ones if you want to use AI, unless you can manage to create so much training data that it ends up baked into the models.

> Also, what you're saying implies Python and Rust should stop evolving as languages

Yes, much the way x86 assembly has stopped evolving for the user, outside of smallish additions like wider vector ops. Adding small, high value extensions extensions can be worth paying the token cost and increased failure rates if they add strong new capabilities.

If it's just ergonomic, it's a mistake, unless you want to target hand coders.

[–] gchamonlive 1 day ago
Just remember models are constantly evolving and being updated, so a language like python shouldn't stop evolving, models should keep updating themselves, for new languages too, it's only a matter of them getting traction and popularity, training data can be synthesized a posteriory using frontier models with extremely large contexts so you can always have the language spec and function reference.
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