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To me it seems as if scripting languages have it hard right now, aside from Python. AI seems to have changed how people find and use new languages. The influx
by shevy-java 19d ago
To me it seems as if scripting languages have it hard right now, aside from Python.
AI seems to have changed how people find and use new languages. The influx of new people kind of ... died down for many older languages here.
- throwaway894345 19d agoEven before AI the trend was moving toward increasingly static languages (JS->TS and even a lot more typed Python). Once you accept the static typing benefits, you start to wonder if you could leverage the constraints to drive performance improvements.
- jgalt212 19d agoRL works better / easier to implement with static typed languages.
- eigenspace 19d agoThat's way too broad of a statement. Static typing makes it easier to do RL targeting the sorts of things that static types encode, but it doesn't help at all with things that aren't really type constrained, like for instance writing accurate numerical programs.
- deleted 18d ago[deleted]
- huijzer 19d agoAgreed. AI doesn’t level the playing field but turns it more in a winner takes all situation. AI is currently best in Python programming from what I hear and this is because it has seen the most Python code.
- ModernMech 19d agoNo matter how much code it has “seen” during training, it still makes mistakes during inference. Therefore AI is most well-suited to write in languages with feedback loops that catch mistakes earlier. Moreover, no matter how good it is at writing Python, Python is not a language you want to use everywhere. “The right tool for the job” still applies in the age of ai.
- huijzer 18d agoGood point. I had great success with Rust indeed, which can catch errors early.