Why is AI so popular right now, even though it’s been around for a long time?
AI, or artificial intelligence, is suddenly a big deal. It feels like every other tool or software is now “powered by AI.” But here’s the thing: AI isn’t new. It has been around for more than 40 years! Why is it blowing up now?
Let’s break it down so that it’s easier to understand.
The Old AI Was Like a Computer
AI used to largely employ arithmetic and reasoning. It’s like a really smart calculator. It could figure out math problems, obey rules, and look at numbers. But it wasn’t as “smart” as people are. It didn’t know how to grasp language like we do. It couldn’t talk or give useful answers in normal language. So AI was only employed for certain activities, like playing chess or forecasting the weather, not communicating to humans.
There was a big breakthrough in 2012.
The University of Toronto had a successful Image Classification event in 2012. There, scientists discovered how to leverage GPU chips, which are used for video games, to let AI learn faster. These devices could do thousands of little calculations at once. That made AI “learn” a lot faster than it did before.
Imagine instructing a robot. It would take years if you had to teach it one word at a time. But now that we have GPUs, it’s like teaching it whole books in a flash.
Language and math go together perfectly.
The best aspect is that math helped AI understand language better.
How? Words were changed into numbers, or more particularly, into vectors with 1000 dimensions. It might sound hard, but here’s a simple way to think about it:
Imagine a big room with a thousand ways to go, instead of simply three like in the actual world.
Every word is like a dot in that space.
Words that mean the same thing are put close to each other.
The term “ship” might be similar to “boat,” but not to “banana.”
In this method, the computer might tell that some words are connected even if they are spelled differently or used in various ways. This made AI better at listening and talking.
The Rise of Agents Who Talk
Now it’s time for the fun part: talking agents.
Scientists made agents that could respond, plan, and even think when AI learned how to understand language. These agents could talk to people like real people. That’s why you see apps like ChatGPT and speech assistants like Siri getting smarter all the time.
This changed everything. AI wasn’t just doing boring math anymore; it was talking, aiding, and even making things.
Example from Real Life: Maritime Uses
Let’s look at how this works in the shipping business, which we call maritime.
Smart Navigation Assistants: AI agents can chat to ship captains and help them locate the safest and fastest route, exactly like Google Maps does for land.
AI can listen to engine sounds and tell you if something is likely to break before it does. That saves a lot of money and keeps people safe.
Training Tools: AI-powered simulators can now help new sailors learn. These are like video games that show you how to steer a ship or deal with an emergency.
AI can figure out the optimal way to load products so that ships don’t tip over or waste fuel.
So why now?
In short:
AI was always smart, but it couldn’t converse or learn quickly.
New GPU hardware in 2012 made AI learn very quickly.
Words turned into numbers, which let AI “understand” language.
Agents that could talk made AI useful and fun.
That’s why you hear about AI all the time now. It’s not magic. It’s years of hard effort, but new tools, smart ideas, and improved technology make it easier.
This is only the start. AI is transforming more than just our phones and applications. It’s also changing ships, schools, and maybe even future employment!
If you’ve any questions or would like connect over a quick chat or dicssion on AI & it’s usecase in today’s day and age, happy to connect at the below email address.
Author: Vishrut Srivastava
vishrut@yodaplus.com