A lot of people think AI is going to take their jobs.
I’ve been working in machine learning, deep learning, and now the GenAI domain for the past 6 to 8 years. I’ve also been working with LLMs for the last two years, and I can tell you LLMs are not going to take your job.
Here’s why: LLMs are trained on publicly available data, which is not 100% accurate. Because of this, every LLM has at least a 3% hallucination rate, meaning they will never become completely deterministic systems.
No one is going to give an LLM full control to make changes to their codebase or manage systems without human intervention. If that were to happen, the model would generate, say, 100 files at least 3 of them would have issues. No company is willing to risk their final release containing critical bugs for no reason.
Instead, LLMs will be used primarily for rapid prototyping. It’s similar to when WordPress introduced templates before, building a website took time, but with templates, you could have one ready in just a couple of hours. In the same way, LLMs can generate code for you, allowing you to build a proof of concept (PoC) or minimum viable product (MVP) in a week. But when it comes to developing a full-fledged system, you’ll still need to write the core functionality yourself.
LLMs will help generate code for new features, but they won’t build entire projects on their own. This isn’t new before, we copied code snippets from Stack Overflow or other websites. Now, we’re copying them from ChatGPT. The only real difference is speed. What used to take 1 to 2 hours can now be done in 5 to 10 minutes, making development much faster.
Since everyone will be using LLMs, the pace of development will accelerate across the board. The only challenge is that technology will now evolve much faster. In the past, major frameworks changed every 10 to 20 years now, we see shifts in just 5 years. That means developers will have to learn and adapt more quickly than ever before.
Here, ChatGPT will help you learn new frameworks faster. So, there’s no need to worry about the rapid changes in technology.