Truly your last chance NOT to end up driving a taxi

Truly your last chance NOT to end up driving a taxi

It seems like all the hype around neural networks and AI is just another milestone in the development of the IT world. Indeed, it's not the first time we've seen innovation in this field. Although, to be honest, the truly significant discoveries and inventions can be counted on the fingers of one hand:

🔵 The creation of computers and networks
🔵 The creation of the internet and its related protocols (TCP, HTTP, smtp, dns, ...)
🔵 The Bittorrent protocol deserves a separate mention
🔵 Okay, those smartphones of yours are also a significant leap forward, though most people use them rather primitively
🔵 The creation of Bitcoin (along with other cryptocurrencies)
🔵 Machine learning, and in particular generative models like GPT

That came out to 6 fingers — well, it happens. Although I might have forgotten something, remind me in the comments.

So it turns out that revolutionary events don't happen all that often, so each of them deserves to be taken seriously. I generally keep track of the situation and also notice much more niche trends that interest me as part of my job. For example, back in '16 I bet on Kubernetes, even though it was still in its infancy and wasn't available in the clouds at all. And by '15 it was already obvious to me that Golang would firmly carve out its niche and even push out other legacy stuff like Python/Ruby/Java on many projects.

🤖 Of course, I couldn't pass GPT by either; I started using it back in '22, and despite the somewhat buggy models of that era, it was immediately clear that it was a game changer. But what we're seeing now in terms of the development of both the models themselves and the tools based on them is something beyond good and evil. And I'd say that the tooling is no less important than the quality of the models.

I'm talking now about things like code editors, AI assistants, and other helpers. Life gets more joyful every day. But there's another trend you can deny to the bitter end, yet smart people already started thinking about it yesterday.

I'm talking about a total switch to these tools and, as a consequence, an increase in the efficiency of intellectual labor.

More efficiency means fewer people are needed to do the same amount of work. You can see where I'm going with this. Layoffs aren't fantasy, they're today's reality.

The good news is that manual labor can't be replaced yet, and couriers and taxi drivers are still in demand 😂

❗️If such prospects don't inspire you, then in essence there aren't that many options in IT. You can lead the AI revolution by choosing a job as a machine learning engineer. But as you understand, choosing isn't enough — you need to be able to do something, and the competition there is fierce. So another, more realistic and no less rewarding option is a DevOps engineer who, among other things, will be the one running these models. Come study in my mentorship program before it's too late.