251–260 of 1001 posts
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Training data can't be the whole answer. LLMs are really good at translating to different programming languages. This makes sense, given that they are derived from text translation systems. I'm getting great results in languages with comparatively small bodies of freely available code. The bigger hurdle is usually that LLMs tend to copy common idioms in the target language and if it is an "enterprise-y" language like…
In higher dimensional vector space, yes it can. Dimensionality gets bizarre in 1000-D space. Similarity and orthogonality express themselves in strange ways and each dimension codes different semantic meaning. Therefore, if the training data is highly consistent you are by definition reducing some complexity and/or encoding better similarity. In Go the statement result, err := Storage.write(...) Is almost always goin…
Being dynamic is secondary. A language that uses exceptions for errors does not always need to surround every try with a catch if the code doesn't need to. You have a top level handler that would catch everything.
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Did you read the article? I think you're arguing against a strawman.
I did read the article and I’m not arguing against a straw man. If you’re going to let an AI agent do everything for you then go ahead and use Rust (or any language with a strong type system that benefits agents). But if I’m participating then I’m going to use Python because it’s easier to read. If there’s anything that I’m arguing against is the author’s claim that the ecosystem of libraries (regardless of whether t…
And this isn't even a defense of the premise. I'm not using AI to generate assembly code, because I don't know assembly.
Read the first few comments and surprised I didn’t see it, but training data. The voluminous amount of Python in the training data. I could write in brainfuck with ai, but I presume, wouldn’t get the same results than if going with python. My follow up question: with AI now, why care about a lang until you need to?
Surprisingly, LLMs are actually much worse at reasoning in Python than other common programming languages for agentic coding tasks. Data here: https://gertlabs.com/rankings?mode=agentic_coding
It's strange to me that this blog post was written in English. If AI is available, why aren't we all communicating in Lojban? [0] It's an obviously superior language. What does it matter that many people already communicate in English and much of computing depends on that language? AI doesn't care about that. Plus, if you ever need to edit Lojban without AI, you should be able to pick it up in a few weeks, right? [0]…
I get what you are trying to say but its a pretty bad analogy.
Also all programming languages do use english mainly in syntax but you are probably from a english-speaking country so you don't notice the irony.
And most people using AI will not need to edit their code at all if you go at all right? They will just keep refactoring with AI, why does the toughness of learning a language or whatever matter in this situation?
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Hah, I was just thinking that Python likely has a vast ocean of training data, but it's likely of lower quality, being much of it is written by beginners and those who aren't primarily programmers.
There's a broken idea that AI know Python because they're written in Python. Not how any of it works.
Read the first few comments and surprised I didn’t see it, but training data. The voluminous amount of Python in the training data. I could write in brainfuck with ai, but I presume, wouldn’t get the same results than if going with python. My follow up question: with AI now, why care about a lang until you need to?
Surprisingly, LLMs are actually much worse at reasoning in Python than other common programming languages for agentic coding tasks. Data here: https://gertlabs.com/rankings?mode=agentic_coding
It's strange to me that this blog post was written in English. If AI is available, why aren't we all communicating in Lojban? [0] It's an obviously superior language. What does it matter that many people already communicate in English and much of computing depends on that language? AI doesn't care about that. Plus, if you ever need to edit Lojban without AI, you should be able to pick it up in a few weeks, right? [0]…
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Golang. People trash it for being verbose on errors but it's an extremely readable language and it's almost like bash, only much stronger typed and with a very rich stdlib (so it's not likely you'll need a library for a quick script). It's more or less a perfect replacement for Python for "one-off programs" and "quick scripts". Many bonus points for not having to fight shell quotation rules and trying to remember dif…
In a world where AI supposedly can write in any language, Go is much better choice than TypeScript. Imagine contemplating for more than a few seconds a choice between simple, fast, cross-compilable language, and a TypeScript -> JavaScript -> Interpreter -> JIT stack. If you don't know Go, it's more efficient to learn it than to waste the hardware resources of thousands to stay within JavaScript.
If it doesn't matter, and for most applications it doesn't, then TypeScript is far more readable than Go - so use that.