5 Key Things You Should Know About AI Today

Artificial Intelligence (AI) has come a long way, and in 2025, it’s shaping almost everything, from the music we hear to the videos we watch, the tools we use, and even how we think about the future.

But while AI seems to be moving fast, not everyone fully understands what’s really going on under the hood.

Here are the important things you should know about AI today, broken down in a way that makes sense, whether you’re a tech fan or just AI-curious.

AI is getting scary good, really fast

One of the biggest surprises about today’s AI is just how good it has become. Take music, for example, some people can no longer tell the difference between a song made by AI and one composed by a real artist. 

That same level of performance is showing up in videos, images, writing, and even scientific fields like robotics and protein research.

In short, whether you love AI or fear it, don’t underestimate it. It’s not just a fun tool anymore, it’s getting better at mimicking human creativity and intelligence faster than anyone expected.

AI “Hallucinations” aren’t going anywhere

When AI gets things wrong, like inventing fake facts or citing sources that don’t exist, we call that a hallucination. This isn’t just an error; it’s part of how generative AI works. These systems are trained to create content, not to fact-check it. 

They’re designed to fill in gaps and produce something that looks believable, not necessarily something that’s true. So while companies might try to reduce hallucinations, don’t expect them to disappear. It’s built into the system.

AI needs a lot of power and it’s getting greedier

Training an AI model uses tons of energy. But now that millions of people are using these tools daily like ChatGPT, which has hundreds of millions of users, the real energy drain comes from simply keeping them running.

And yet, most companies aren’t being clear about how much energy their models actually use. That’s beginning to change, but for now, there’s a lot we still don’t know about the true cost of AI on our environment.

We still don’t understand how these models really work

We’ve figured out how to build large language models. We’ve learned how to make them sound smart and helpful. Even experts don’t fully understand how these models produce the results they do.

Imagine having a powerful machine that can hold a conversation, solve problems, and write code, but we’re still figuring out why it does what it does. That mystery makes it hard to know where the limits are or how to fix things when they go wrong.

The idea of AGI is still a bit of a guess

AGI, or Artificial General Intelligence, is a buzzword used to describe an AI that could think and reason like a human across a wide range of tasks. But the truth? Nobody can even agree on what AGI actually means.

Is it just AI that’s better than today’s models? Is it something with emotions? Consciousness? The definition keeps changing. Right now, AGI is more of a dream than a reality, something people talk about without any solid proof that it’s close.