Why You Should Consider Using Boring Languages with AI

Imagine if you could chat with an artificial intelligence (AI) program that understands every language you speak. Sounds cool, right? But what if I told you that some of the languages we think are "boring" might be the most effective for working with AI?

What Are "Boring" Languages?

When we talk about programming languages, some of them are considered "boring." These are languages that aren't as flashy or popular as the likes of Python or JavaScript. Think about languages like Pascal or even older ones like COBOL, which were widely used decades ago and aren't the hot topic of tech discussions today.

Recently, a conversation sparked on Hacker News about how using these less popular languages can actually benefit AI models, particularly large language models (LLMs) like OpenAI's ChatGPT. These models are trained on vast amounts of information, and the choice of programming language can influence how effectively they perform.

Why Use Boring Languages?

You might be wondering why someone would want to use these older or less interesting languages. Well, for starters, they can be simpler and more straightforward. Some developers argue that using these languages can reduce complexity, making it easier for AI to parse and understand the code. This means that when these models are working with "boring" languages, they can often deliver better, more accurate results.

Think about it like teaching a child: simpler stories are easier for them to grasp, right? The same logic applies to AI models. Using straightforward languages can help them learn and respond better.

The Benefits to Everyday Users

So, why should you care? Here's the scoop:

1. Better Applications: If developers start using these straightforward languages more often, it could lead to apps and services that work better, faster, and are easier for you to use. Imagine a banking app that never crashes because it’s coded in a simple, stable language.

2. Lower Costs: Boring languages can be easier to maintain and can lead to lower development costs. This means companies might spend less on tech and could pass those savings on to you.

3. Accessibility: If more programmers feel comfortable using these languages, we could see a wider range of tools and applications tailored for diverse communities, making technology more accessible for everyone.

What Happens Next?

Looking ahead, here are a few predictions you might find interesting:

1. Increased Interest in Older Languages: Companies may start investing more time in training developers to use these simpler languages. As tech education evolves, we might see more courses focusing on languages like COBOL, especially for legacy systems in industries like finance.

2. Enhanced AI Models: As more developers adopt these languages, we might see the development of AI models that are specifically designed to work effectively with them. This could lead to improved AI applications across various sectors, from healthcare to customer service.

3. New Tools for Developers: Expect the emergence of new frameworks or tools catering to these "boring" languages, making it easier to integrate them into modern tech stacks. This could revolutionize how applications are built and maintained.

Conclusion: Embracing the Not-So-Exciting

In the fast-paced world of tech, it's easy to get caught up in the latest trends and flashy innovations. However, sometimes the simplest solutions can yield the best results. By exploring the potential of "boring" programming languages with AI, developers can create more reliable applications that enhance our everyday lives.

So, the next time you hear about a programming language that sounds less-than-thrilling, remember it might just be the key to a smoother, more efficient tech experience for you!

Source: https://jry.io/writing/use-boring-languages-with-llms/

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