Comment by kagevf
3 hours ago
> Next up is demonstrating the AI is more productive with better programming languages.
That actually would be pretty exciting!
But, wouldn't AI be biased toward more popular languages, since those will by nature of their popularity provide more sources for training material?
Even still, the AI could demonstrate which algorithms or maybe patterns and techniques are more productive, in the context of the popular languages.
You might be surprised. I've had an AI start spitting out none functioning python code. I've rewritten it with Go. The requirements are that every change has to pass compilation, linting and tests. Same requirements as Python. Go keeps the AI on the rails better. The compilation failing provides quick and probably better feedback than a whole dictionary of tests.
That’s not necessarily a bad thing.
As an example, 110v American outlet plugs are almost certainly not the most efficient way to power devices and appliances; but, because they are so standard and are good enough, using them massively eases the burden of making, buying and selling powered appliances in the US. Similar story with USB C.
> That’s not necessarily a bad thing.
True, and to my point, "popular" isn't necessarily "better".
> because they are so standard and are good enough, using them massively eases the burden of making, buying and selling powered appliances
Yes, but LLMs can do the heavy lifting when analyzing the "better programming languages" for productivity. There will be a bias toward popularity in their training sources, though.
Outlets benefit from standards, however. Every device (well kind of) uses the same few plug types, and a different plug would be a disadvantage.
On the other hand, having a bunch of different languages is an advantage. People can pick the best tool for the job, and experiment with new language features.